{"id":528,"date":"2023-05-01T08:03:55","date_gmt":"2023-05-01T08:03:55","guid":{"rendered":"https:\/\/todaysainews.com\/index.php\/2023\/05\/01\/google-at-iclr-2023-google-ai-blog\/"},"modified":"2025-04-27T07:33:42","modified_gmt":"2025-04-27T07:33:42","slug":"google-at-iclr-2023-google-ai-blog","status":"publish","type":"post","link":"https:\/\/todaysainews.com\/index.php\/2023\/05\/01\/google-at-iclr-2023-google-ai-blog\/","title":{"rendered":"Google at ICLR 2023 \u2013 Google AI Blog"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"post-body-6812586756904863062\">\n<span class=\"byline-author\">Posted by Catherine Armato, Program Manager, Google<\/span><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blogger.googleusercontent.com\/img\/b\/R29vZ2xl\/AVvXsEiaXU0Qnf7lWC70SIqFUj3KcinepmKmqVwu369RYcajoFZI0UGtej6ZGJD7c0GsXJk_Wjg08CnBLtE7lLlz__azqzUNCgflaTp3F9mZyIxX7HBzJEdTN19WMlfVsu4mTww-LLhvZ4hhWqdVCQqjQbrOk6VumBCH6dA2YwdATT6I_QLKLHSUz_Upnw6zlg\/s1200\/Google%20Rwanda%20Logo-02.jpg\" style=\"display: none;\"\/><\/p>\n<p>\nThe <a href=\"https:\/\/iclr.cc\/Conferences\/2023\">Eleventh International Conference on Learning Representations<\/a> (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. We are proud to be a <a href=\"https:\/\/iclr.cc\/Conferences\/2023\/Sponsors\">Diamond Sponsor<\/a> of ICLR 2023, a premier conference on deep learning, where Google researchers contribute at all levels. This year we are presenting over 100 papers and are actively involved in organizing and hosting a number of different events, including workshops and interactive sessions.\n<\/p>\n<p><a name=\"more\"\/> <\/p>\n<p>\nIf you\u2019re registered for ICLR 2023, we hope you\u2019ll visit the Google booth to learn more about the exciting work we\u2019re doing across topics spanning representation and reinforcement learning, theory and optimization, social impact, safety and privacy, and applications from generative AI to speech and robotics. Continue below to find the many ways in which Google researchers are engaged at ICLR 2023, including workshops, papers, posters and talks (Google affiliations in <strong>bold<\/strong>).\n<\/p>\n<p><\/p>\n<h2>Board and Organizing Committee<\/h2>\n<p>\nBoard Members include: <strong><em>Shakir Mohamed<\/em><\/strong>, <strong><em>Tara Sainath<\/em><\/strong>\n<\/p>\n<p>\nSenior Program Chairs include: <strong><em>Been Kim<\/em><\/strong>\n<\/p>\n<p>\nWorkshop Chairs include: <strong><em>Aisha Walcott-Bryant<\/em><\/strong>, <strong><em>Rose Yu<\/em><\/strong>\n<\/p>\n<p>\nDiversity, Equity &amp; Inclusion Chairs include: <strong><em>Rosanne Liu<\/em><\/strong>\n<\/p>\n<h2>Outstanding Paper awards<\/h2>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=lTt4KjHSsyl\">Emergence of Maps in the Memories of Blind Navigation Agents<\/a><br \/>\n<br \/><em>Erik Wijmans<\/em>, <em>Manolis Savva<\/em>, <strong><em>Irfan Essa<\/em><\/strong>, <em>Stefan Lee<\/em>, <em>Ari S. Morcos<\/em>, <em>Dhruv Batra<\/em>\n<\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=FjNys5c7VyY\">DreamFusion: Text-to-3D Using 2D Diffusion<\/a><br \/>\n<br \/><strong><em>Ben Poole<\/em><\/strong>, <em>Ajay Jain<\/em>, <strong><em>Jonathan T. Barron<\/em><\/strong>, <strong><em>Ben Mildenhall<\/em><\/strong>\n<\/p>\n<h2>Keynote speaker<\/h2>\n<p>\n<a href=\"https:\/\/iclr.cc\/virtual\/2023\/invited-talk\/14236\">Learned Optimizers: Why They&#8217;re the Future, Why They\u2019re Hard, and What They Can Do Now<\/a><br \/>\n<br \/><b><i><br \/>\nJascha Sohl-Dickstein<br \/>\n<\/i><\/b><\/p>\n<h2>Workshops<\/h2>\n<p>\n<a href=\"https:\/\/www.kaggle.com\/iclr-2023\">Kaggle@ICLR 2023: ML Solutions in Africa<\/a><br \/>\n<br \/>Organizers include: <b><i>Julia Elliott<\/i><\/b>, <b><i>Phil Culliton<\/i><\/b>, <b><i>Ray Harvey<br \/>\n<\/i><\/b><br \/>Facilitators: <b><i>Julia Elliot<\/i><\/b>, <b><i>Walter Reade<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/reincarnating-rl.github.io\/\">Reincarnating Reinforcement Learning<\/a> (Reincarnating RL)<br \/>\n<br \/>Organizers include: <b><i>Rishabh Agarwal<\/i><\/b>, <b><i>Ted Xiao<\/i><\/b>, <b><i>Max Schwarzer<br \/>\n<\/i><\/b><br \/>Speakers include: <b><i>Sergey Levine<br \/>\n<\/i><\/b><br \/>Panelists include: <b><i>Marc G. Bellemare<\/i><\/b>, <b><i>Sergey Levine<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/rtml-iclr2023.github.io\/organizers.html\">Trustworthy and Reliable Large-Scale Machine Learning Models<\/a><br \/>\n<br \/>Organizers include: <b><i>Sanmi Koyejo<br \/>\n<\/i><\/b><br \/>Speakers include: <b><i>Nicholas Carlini<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/physics4ml.github.io\/organizers\">Physics for Machine Learning<\/a> (Physics4ML)<br \/>\n<br \/>Speakers include: <b><i>Yasaman Bahri<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/ai4abm.org\/workshop_iclr2023\/\">AI for Agent-Based Modelling Community<\/a> (AI4ABM)<br \/>\n<br \/>Organizers include: <b><i>Pablo Samuel Castro<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/sites.google.com\/corp\/view\/me-fomo2023\">Mathematical and Empirical Understanding of Foundation Models<\/a> (ME-FoMo)<br \/>\n<br \/>Organizers include: <b><i>Mathilde Caron<\/i><\/b>, <b><i>Tengyu Ma<\/i><\/b>, <b><i>Hanie Sedghi<br \/>\n<\/i><\/b><br \/>Speakers include: <b><i>Yasaman Bahri<\/i><\/b>, <b><i>Yann Dauphin<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/nesygems.github.io\/\">Neurosymbolic Generative Models 2023<\/a> (NeSy-GeMs)<br \/>\n<br \/>Organizers include: <b><i>Kevin Ellis<br \/>\n<\/i><\/b><br \/>Speakers include: <b><i>Daniel Tarlow<\/i><\/b>, <b><i>Tuan Anh Le<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/domaingen.github.io\/\">What Do We Need for Successful Domain Generalization?<\/a><br \/>\n<br \/>Panelists include: <b><i>Boqing Gong<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/pml4dc.github.io\/iclr2023\/\">The 4th Workshop on Practical ML for Developing Countries: Learning Under Limited\/Low Resource Settings<\/a><br \/>\n<br \/>Keynote Speaker: <b><i>Adji Bousso Dieng<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/nasaharvest.github.io\/ml-for-remote-sensing\/iclr2023\/#schedule\">Machine Learning for Remote Sensing<\/a><br \/>\n<br \/>Speakers include: <b><i>Abigail Annkah<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/mrl-workshop.github.io\/iclr-2023\/\">Multimodal Representation Learning (MRL): Perks and Pitfalls<\/a><br \/>\n<br \/>Organizers include: <b><i>Petra Poklukar<br \/>\n<\/i><\/b><br \/>Speakers include: <b><i>Arsha Nagrani<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/sites.google.com\/corp\/view\/trustml-unlimited\/home\">Pitfalls of Limited Data and Computation for Trustworthy ML<\/a><br \/>\n<br \/>Organizers include: <b><i>Prateek Jain<br \/>\n<\/i><\/b><br \/>Speakers include: <b><i>Nicholas Carlini<\/i><\/b>, <b><i>Praneeth Netrapalli<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/sites.google.com\/corp\/view\/trustml-unlimited\/home\">Sparsity in Neural Networks: On Practical Limitations and Tradeoffs Between Sustainability and Efficiency<\/a><br \/>\n<br \/>Organizers include: <b><i>Trevor Gale<\/i><\/b>, <b><i>Utku Evci<br \/>\n<\/i><\/b><br \/>Speakers include: <b><i>Aakanksha Chowdhery<\/i><\/b>, <b><i>Jeff Dean<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/sites.google.com\/corp\/view\/tsrl4h-iclr2023\/home\">Time Series Representation Learning for Health<\/a><br \/>\n<br \/>Speakers include: <b><i>Katherine Heller<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/dl4c.github.io\/\">Deep Learning for Code<\/a> (DL4C)<br \/>\n<br \/>Organizers include: <b><i>Gabriel Orlanski<br \/>\n<\/i><\/b><br \/>Speakers include: <b><i>Alex Polozov<\/i><\/b>, <b><i>Daniel Tarlow<br \/>\n<\/i><\/b><\/p>\n<h2>Affinity Workshops<\/h2>\n<p>\n<a href=\"https:\/\/iclr.cc\/virtual\/2023\/affinity-workshop\/13838\">Tiny Papers Showcase Day<\/a> (a DEI initiative)<br \/>\n<br \/>Organizers include: <b><i>Rosanne Liu<br \/>\n<\/i><\/b><\/p>\n<h2>Papers<\/h2>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=Z4s7sJYQM\">Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics for Advection-Dominated Systems<\/a><br \/>\n<br \/><b><i><br \/>\nZhong Yi Wan<\/i><\/b>, <b><i>Leonardo Zepeda-Nunez<\/i><\/b>, <b><i>Anudhyan Boral<\/i><\/b>, <b><i>Fei Sha<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=TatRHT_1cK\">Quantifying Memorization Across Neural Language Models<\/a><br \/>\n<br \/><b><i><br \/>\nNicholas Carlini<\/i><\/b>, <b><i>Daphne Ippolito<\/i><\/b>, <b><i>Matthew Jagielski<\/i><\/b>, <b><i>Katherine Lee<\/i><\/b>, <b><i>Florian Tramer<\/i><\/b>, <b><i>Chiyuan Zhang<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=lTt4KjHSsyl\">Emergence of Maps in the Memories of Blind Navigation Agents<\/a> (<em>Outstanding Paper Award<\/em>)<br \/>\n<br \/><i><br \/>\nErik Wijmans<\/i>, <i>Manolis Savva<\/i>, <b><i>Irfan Essa<\/i><\/b>, <i>Stefan Lee<\/i>, <i>Ari S. Morcos<\/i>, <i>Dhruv Batra<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=4-k7kUavAj\">Offline Q-Learning on Diverse Multi-task Data Both Scales and Generalizes<\/a>\u00a0(see <a href=\"https:\/\/ai.googleblog.com\/2023\/02\/pre-training-generalist-agents-using.html\">blog post<\/a>)<br \/><b><i><br \/>\nAviral Kumar<\/i><\/b>, <b><i>Rishabh Agarwal<\/i><\/b>, <i>Xingyang Geng<\/i>, <b><i>George Tucker<\/i><\/b>, <b><i>Sergey Levine<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=WE_vluYUL-X\">ReAct: Synergizing Reasoning and Acting in Language Models<\/a>\u00a0(see <a href=\"https:\/\/ai.googleblog.com\/2022\/11\/react-synergizing-reasoning-and-acting.html\">blog post<\/a>)<br \/><i><br \/>\nShunyu Yao<\/i>*, <b><i>Jeffrey Zhao<\/i><\/b>, <b><i>Dian Yu<\/i><\/b>, <b><i>Nan Du<\/i><\/b>, <b><i>Izhak Shafran<\/i><\/b>, <i>Karthik R. Narasimhan<\/i>, <b><i>Yuan Cao<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=_CDixzkzeyb\">Prompt-to-Prompt Image Editing with Cross-Attention Control<\/a><br \/>\n<br \/><b><i><br \/>\nAmir Hertz<\/i><\/b>, <b><i>Ron Mokady<\/i><\/b>, <b><i>Jay Tenenbaum<\/i><\/b>, <b><i>Kfir Aberman<\/i><\/b>, <b><i>Yael Pritch<\/i><\/b>, <b><i>Daniel Cohen-Or<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=FjNys5c7VyY\">DreamFusion: Text-to-3D Using 2D Diffusion<\/a> (<em>Outstanding Paper Award<\/em>)<br \/>\n<br \/><i><b><br \/>\nBen Poole<\/b><\/i>, <i>Ajay Jain<\/i>, <b><i>Jonathan T. Barron<\/i><\/b>, <b><i>Ben Mildenhall<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=HcUf-QwZeFh\">A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation<\/a><br \/>\n<br \/><b><i><br \/>\nHiroki Furuta<\/i><\/b>, <i>Yusuke Iwasawa<\/i>, <i>Yutaka Matsuo<\/i>, <b><i>Shixiang Shane Gu<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=OpC-9aBBVJe\">Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier<\/a><br \/>\n<br \/><i><br \/>\nPierluca D&#8217;Oro<\/i>, <b><i>Max Schwarzer<\/i><\/b>, <i>Evgenii Nikishin<\/i>, <i>Pierre-Luc Bacon<\/i>, <b><i>Marc G Bellemare<\/i><\/b>, <i>Aaron Courville<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=DEGjDDV22pI\">Dichotomy of Control: Separating What You Can Control from What You Cannot<\/a><br \/>\n<br \/><b><i><br \/>\nSherry Yang<\/i><\/b>, <b><i>Dale Schuurmans<\/i><\/b>, <i>Pieter Abbeel<\/i>, <b><i>Ofir Nachum<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=7JsGYvjE88d\">Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search<\/a><br \/>\n<br \/><i><br \/>\nMicha\u0142 Zawalski<\/i>, <i>Micha\u0142 Tyrolski<\/i>, <i>Konrad Czechowski<\/i>, <i>Tomasz Odrzyg\u00f3\u017ad\u017a<\/i>, <i>Damian Stachura<\/i>, <i>Piotr Piekos<\/i>, <b><i>Yuhuai Wu<\/i><\/b>, <i>\u0141ukasz Kucinski<\/i>, <i>Piotr Mi\u0142os<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=rvsbw2YthH_\">The Trade-Off Between Universality and Label Efficiency of Representations from Contrastive Learning<\/a><br \/>\n<br \/><i><br \/>\nZhenmei Shi<\/i>, <i>Jiefeng Chen<\/i>, <i>Kunyang Li<\/i>, <i>Jayaram Raghuram<\/i>, <b><i>Xi Wu<\/i><\/b>, <i>Yingyu Liang<\/i>, <i>Somesh Jha<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=yHY9NbQJ5BP\">Sparsity-Constrained Optimal Transport<\/a><br \/>\n<br \/><i><br \/>\nTianlin Liu<\/i>*, <b><i>Joan Puigcerver<\/i><\/b>, <b><i>Mathieu Blondel<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=xSsW2Am-ukZ\">Unmasking the Lottery Ticket Hypothesis: What&#8217;s Encoded in a Winning Ticket&#8217;s Mask?<\/a><br \/>\n<br \/><i><br \/>\nMansheej Paul<\/i>, <i>Feng Chen<\/i>, <i>Brett W. Larsen<\/i>, <i>Jonathan Frankle<\/i>, <i>Surya Ganguli<\/i>, <b><i>Gintare Karolina Dziugaite<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=SJ0Lde3tRL\">Extreme Q-Learning: MaxEnt RL without Entropy<\/a><br \/>\n<br \/><i><br \/>\nDivyansh Garg<\/i>, <i>Joey Hejna<\/i>, <b><i>Matthieu Geist,<\/i><\/b> <i>Stefano Ermon<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=SMa9EAovKMC\">Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs<\/a><br \/>\n<br \/><i><br \/>\nAlbert Qiaochu Jiang<\/i>, <i>Sean Welleck<\/i>, <b><i>Jin Peng Zhou<\/i><\/b>, <i>Timothee Lacroix<\/i>, <i>Jiacheng Liu<\/i>, <i>Wenda Li<\/i>, <i>Mateja Jamnik<\/i>, <i>Guillaume Lample<\/i>, <b><i>Yuhuai Wu<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=EKpMeEV0hOo\">SimPer: Simple Self-Supervised Learning of Periodic Targets<\/a><br \/>\n<br \/><i><br \/>\nYuzhe Yang<\/i>, <i>Xin Liu<\/i>, <i><b>Jiang Wu<\/b><\/i>, <i><b>Silviu Borac<\/b><\/i>, <i>Dina Katabi<\/i>, <b><i>Ming-Zher Poh<\/i><\/b>, <b><i>Daniel McDuff<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=G2Q2Mh3avow\">Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language<\/a><br \/>\n<br \/><b><i><br \/>\nAndy Zeng<\/i><\/b>, <b><i>Maria Attarian<\/i><\/b>, <b><i>Brian Ichter<\/i><\/b>, <b><i>Krzysztof Marcin Choromanski<\/i><\/b>, <b><i>Adrian Wong<\/i><\/b>, <b><i>Stefan Welker<\/i><\/b>, <b><i>Federico Tombari<\/i><\/b>, <b><i>Aveek Purohit<\/i><\/b>, <b><i>Michael S. Ryoo<\/i><\/b>, <b><i>Vikas Sindhwani<\/i><\/b>, <b><i>Johnny Lee<\/i><\/b>, <b><i>Vincent Vanhoucke<\/i><\/b>, <b><i>Pete Florence<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=0g0X4H8yN4I\">What Learning Algorithm Is In-Context Learning? Investigations with Linear Models<\/a><br \/>\n<br \/><i><br \/>\nEkin Akyurek<\/i>*, <b><i>Dale Schuurmans<\/i><\/b>, <i>Jacob Andreas<\/i>, <i>Tengyu Ma<\/i>*, <b><i>Denny Zhou<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=Peot1SFDX0\">Preference Transformer: Modeling Human Preferences Using Transformers for RL<\/a><br \/>\n<br \/><i><br \/>\nChangyeon Kim<\/i>, <i>Jongjin Park<\/i>, <i>Jinwoo Shin<\/i>, <i>Honglak Lee<\/i>, <i>Pieter Abbeel<\/i>, <b><i>Kimin Lee<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=QCrw0u9LQ7\">Iterative Patch Selection for High-Resolution Image Recognition<\/a><br \/>\n<br \/><i><br \/>\nBenjamin Bergner<\/i>, <i>Christoph Lippert<\/i>, <b><i>Aravindh Mahendran<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=MIMwy4kh9lf\">Open-Vocabulary Object Detection upon Frozen Vision and Language Models<\/a><br \/>\n<br \/><b><i><br \/>\nWeicheng Kuo<\/i><\/b>, <b><i>Yin Cui<\/i><\/b>, <b><i>Xiuye Gu<\/i><\/b>, <b><i>AJ Piergiovanni<\/i><\/b>, <i><b>Anelia Angelova<br \/>\n<\/b><\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=JLg5aHHv7j\">(Certified!!) Adversarial Robustness for Free!<\/a><br \/>\n<br \/><b><i><br \/>\nNicholas Carlini<\/i><\/b>, <b><i>Florian Tram\u00e9r<\/i><\/b>, <b><i>Krishnamurthy (Dj) Dvijotham<\/i><\/b>, <i>Leslie Rice<\/i>, <i>Mingjie Sun<\/i>, <i>J. Zico Kolter<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=gU5sJ6ZggcX\">REPAIR: REnormalizing Permuted Activations for Interpolation Repair<\/a><br \/>\n<br \/><i><br \/>\nKeller Jordan<\/i>, <b><i>Hanie Sedghi<\/i><\/b>, <i>Olga Saukh<\/i>, <i>Rahim Entezari<\/i>, <b><i>Behnam Neyshabur<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=VM8batVBWvg\">Discrete Predictor-Corrector Diffusion Models for Image Synthesis<\/a><br \/>\n<br \/><b><i><br \/>\nJos\u00e9 Lezama<\/i><\/b>, <b><i>Tim Salimans<\/i><\/b>, <b><i>Lu Jiang<\/i><\/b>, <i><b>Huiwen Chang<\/b><\/i>, <b><i>Jonathan Ho<\/i><\/b>, <b><i>Irfan Essa<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=zH9GcZ3ZGXu\">Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks<\/a><br \/>\n<br \/><b><i><br \/>\nSravanti Addepalli<\/i><\/b>, <b><i>Anshul Nasery<\/i><\/b>, <b><i>Praneeth Netrapalli<\/i><\/b>, <i>Venkatesh Babu R.<\/i>, <b><i>Prateek Jain<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=-CoNloheTs\">An Exact Poly-time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network<\/a><br \/>\n<br \/><b><i><br \/>\nAmit Daniely<\/i><\/b>, <i>Elad Granot<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=fR3wGCk-IXp\">Language Models Are Multilingual Chain-of-Thought Reasoners<\/a><br \/>\n<br \/><b><i><br \/>\nFreda Shi<\/i><\/b>, <b><i>Mirac Suzgun<\/i><\/b>, <b><i>Markus Freitag<\/i><\/b>, <b><i>Xuezhi Wang<\/i><\/b>, <i>Suraj Srivats<\/i>, <i>Soroush Vosoughi<\/i>, <b><i>Hyung Won Chung<\/i><\/b>, <b><i>Yi Tay<\/i><\/b>, <b><i>Sebastian Ruder<\/i><\/b>, <b><i>Denny Zhou<\/i><\/b>, <b><i>Dipanjan Das<\/i><\/b>, <b><i>Jason Wei<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=JxpBP1JM15-\">Scaling Forward Gradient with Local Losses<\/a><br \/>\n<br \/><i><br \/>\nMengye Ren<\/i>*, <b><i>Simon Kornblith<\/i><\/b>, <i>Renjie Liao<\/i>, <b><i>Geoffrey Hinton<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=DWn1TEb2fK\">Treeformer: Dense Gradient Trees for Efficient Attention Computation<\/a><br \/>\n<br \/><b><i><br \/>\nLovish Madaan<\/i><\/b>, <b><i>Srinadh Bhojanapalli<\/i><\/b>, <b><i>Himanshu Jain<\/i><\/b>, <b><i>Prateek Jain<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=NVZvalzCLg\">LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification<\/a><br \/>\n<br \/><i><br \/>\nSharath Girish<\/i>, <i>Kamal Gupta<\/i>, <b><i>Saurabh Singh<\/i><\/b>, <i>Abhinav Shrivastava<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=nG9RF9z1yy3\">DiffusER: Diffusion via Edit-Based Reconstruction<\/a><br \/>\n<br \/><b><i><br \/>\nMachel Reid<\/i><\/b>, <i>Vincent J. Hellendoorn<\/i>, <i>Graham Neubig<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=ORp91sAbzI\">Leveraging Unlabeled Data to Track Memorization<\/a><br \/>\n<br \/><i><br \/>\nMahsa Forouzesh<\/i>, <b><i>Hanie Sedghi<\/i><\/b>, <i>Patrick Thiran<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=4FBUihxz5nm\">A Mixture-of-Expert Approach to RL-Based Dialogue Management<\/a><br \/>\n<br \/><b><i><br \/>\nYinlam Chow<\/i><\/b>, <b><i>Aza Tulepbergenov<\/i><\/b>, <b><i>Ofir Nachum<\/i><\/b>, <b><i>Dhawal Gupta<\/i><\/b>, <b><i>Moonkyung Ryu<\/i><\/b>, <b><i>Mohammad Ghavamzadeh<\/i><\/b>, <b><i>Craig Boutilier<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=rSUCajhLsQ\">Easy Differentially Private Linear Regression<\/a><br \/>\n<br \/><b><i><br \/>\nKareem Amin<\/i><\/b>, <b><i>Matthew Joseph<\/i><\/b>, <b><i>Monica Ribero<\/i><\/b>, <b><i>Sergei Vassilvitskii<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=p0JSSa1AuV\">KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals<\/a><br \/>\n<br \/><i><br \/>\nSandeep Silwal<\/i>*, <b><i>Sara Ahmadian<\/i><\/b>, <b><i>Andrew Nystrom<\/i><\/b>, <b><i>Andrew McCallum<\/i><\/b>, <b><i>Deepak Ramachandran<\/i><\/b>, <b><i>Mehran Kazemi<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=sIoED-yPK9l\">Massively Scaling Heteroscedastic Classifiers<\/a><br \/>\n<br \/><b><i><br \/>\nMark Collier<\/i><\/b>, <b><i>Rodolphe Jenatton<\/i><\/b>, <b><i>Basil Mustafa<\/i><\/b>, <b><i>Neil Houlsby<\/i><\/b>, <b><i>Jesse Berent<\/i><\/b>, <b><i>Effrosyni Kokiopoulou<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=TJ2nxciYCk-\">The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers<\/a><br \/>\n<br \/><b><i><br \/>\nZonglin Li<\/i><\/b>, <b><i>Chong You<\/i><\/b>, <b><i>Srinadh Bhojanapalli<\/i><\/b>, <b><i>Daliang Li<\/i><\/b>, <b><i>Ankit Singh Rawat<\/i><\/b>, <b><i>Sashank J. Reddi<\/i><\/b>, <b><i>Ke Ye<\/i><\/b>, <b><i>Felix Chern<\/i><\/b>, <b><i>Felix Yu<\/i><\/b>, <b><i>Ruiqi Guo<\/i><\/b>, <b><i>Sanjiv Kumar<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=gJW8hSGBys8\">Compositional Semantic Parsing with Large Language Models<\/a><br \/>\n<br \/><b><i><br \/>\nAndrew Drozdov<\/i><\/b>, <b><i>Nathanael Scharli<\/i><\/b>, <b><i>Ekin Akyurek<\/i><\/b>, <b><i>Nathan Scales<\/i><\/b>, <b><i>Xinying Song<\/i><\/b>, <b><i>Xinyun Chen<\/i><\/b>, <b><i>Olivier Bousquet<\/i><\/b>, <b><i>Denny Zhou<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=ndYXTEL6cZz\">Extremely Simple Activation Shaping for Out-of-Distribution Detection<\/a><br \/>\n<br \/><i><br \/>\nAndrija Djurisic<\/i>, <i>Nebojsa Bozanic<\/i>, <i>Arjun Ashok<\/i>, <b><i>Rosanne Liu<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=5MkYIYCbva\">Long Range Language Modeling via Gated State Spaces<\/a><br \/>\n<br \/><b><i><br \/>\nHarsh Mehta<\/i><\/b>, <i>Ankit Gupta<\/i>, <i>Ashok Cutkosky<\/i>, <i>Behnam Neyshabur<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=sSt9fROSZRO\">Investigating Multi-task Pretraining and Generalization in Reinforcement Learning<\/a><br \/>\n<br \/><b><i><br \/>\nAdrien Ali Taiga<\/i><\/b>, <b><i>Rishabh Agarwal<\/i><\/b>, <b><i>Jesse Farebrother<\/i><\/b>, <i>Aaron Courville<\/i>, <b><i>Marc G. Bellemare<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=k9CF4h3muD\">Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets<\/a><br \/>\n<br \/><i><br \/>\nEdo Cohen-Karlik<\/i>, <i>Itamar Menuhin-Gruman<\/i>, <i>Raja Giryes<\/i>, <i>Nadav Cohen<\/i>, <b><i>Amir Globerson<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=CL-sVR9pvF\">Weighted Ensemble Self-Supervised Learning<\/a><br \/>\n<br \/><i><br \/>\nYangjun Ruan<\/i>*, <b><i>Saurabh Singh<\/i><\/b>, <b><i>Warren Morningstar<\/i><\/b>, <b><i>Alexander A. Alemi<\/i><\/b>, <b><i>Sergey Ioffe<\/i><\/b>, <b><i>Ian Fischer<\/i><\/b>, <b><i>Joshua V. Dillon<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=0qSOodKmJaN\">Calibrating Sequence Likelihood Improves Conditional Language Generation<\/a><br \/>\n<br \/><b><i><br \/>\nYao Zhao<\/i><\/b>, <b><i>Misha Khalman<\/i><\/b>, <b><i>Rishabh Joshi<\/i><\/b>, <b><i>Shashi Narayan<\/i><\/b>, <b><i>Mohammad Saleh<\/i><\/b>, <b><i>Peter J. Liu<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=OIe3kpwl40D\">SMART: Sentences as Basic Units for Text Evaluation<\/a><br \/>\n<br \/><b><i><br \/>\nReinald Kim Amplayo<\/i><\/b>, <b><i>Peter J. Liu<\/i><\/b>, <b><i>Yao Zhao<\/i><\/b>, <b><i>Shashi Narayan<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=9Nj_gNdvqYf\">Leveraging Importance Weights in Subset Selection<\/a><br \/>\n<br \/><b><i><br \/>\nGui Citovsky<\/i><\/b>, <b><i>Giulia DeSalvo<\/i><\/b>, <b><i>Sanjiv Kumar<\/i><\/b>, <b><i>Srikumar Ramalingam<\/i><\/b>, <b><i>Afshin Rostamizadeh<\/i><\/b>, <i>Yunjuan Wang<\/i>*\n<\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=oGDKSt9JrZi\">Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks<\/a><br \/>\n<br \/><i><b>Jesse Farebrother<\/b><\/i>, <b><i>Joshua Greaves<\/i><\/b>, <b><i>Rishabh Agarwal<\/i><\/b>, <i>Charline Le Lan<\/i>, <b><i>Ross Goroshin<\/i><\/b>, <b><i>Pablo Samuel Castro<\/i><\/b>, <b><i>Marc G. Bellemare<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=n70oyIlS4g\">An Extensible Multi-modal Multi-task Object Dataset with Materials<\/a><br \/>\n<br \/><i><br \/>\nTrevor Standley<\/i>, <i>Ruohan Gao<\/i>, <b><i>Dawn Chen<\/i><\/b>, <i>Jiajun Wu<\/i>, <i>Silvio Savarese<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=7bJizxLKrR\">Measuring Forgetting of Memorized Training Examples<\/a><br \/>\n<br \/><b><i><br \/>\nMatthew Jagielski<\/i><\/b>, <b><i>Om Thakkar<\/i><\/b>, <i>Florian Tram\u00e9r<\/i>, <b><i>Daphne Ippolito<\/i><\/b>, <b><i>Katherine Lee<\/i><\/b>, <b><i>Nicholas Carlini<\/i><\/b>, <i>Eric Wallace<\/i>, <b><i>Shuang Song<\/i><\/b>, <b><i>Abhradeep Thakurta<\/i><\/b>, <b><i>Nicolas Papernot<\/i><\/b>, <b><i>Chiyuan Zhang<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=wCFB37bzud4\">Bidirectional Language Models Are Also Few-Shot Learners<\/a><br \/>\n<br \/><i><br \/>\nAjay Patel<\/i>, <i>Bryan Li<\/i>, <i>Mohammad Sadegh Rasooli<\/i>, <b><i>Noah Constant<\/i><\/b>, <i>Colin Raffel<\/i>, <i>Chris Callison-Burch<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=xE-LtsE-xx\">Is Attention All That NeRF Needs?<\/a><br \/>\n<br \/><i><br \/>\nMukund Varma T.<\/i>, <i>Peihao Wang<\/i>, <i>Xuxi Chen<\/i>, <i>Tianlong Chen<\/i>, <b><i>Subhashini Venugopalan<\/i><\/b>,  <i>Zhangyang Wang<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=KfptQCEKVW4\">Automating Nearest Neighbor Search Configuration with Constrained Optimization<\/a><br \/>\n<br \/><b><i><br \/>\nPhilip Sun<\/i><\/b>, <b><i>Ruiqi Guo<\/i><\/b>, <b><i>Sanjiv Kumar<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=lLp-C5nTdJG\">Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions<\/a><br \/>\n<br \/><b><i><br \/>\nDavid Bieber<\/i><\/b>, <i>Rishab Goel<\/i>, <b><i>Daniel Zheng<\/i><\/b>, <b><i>Hugo Larochelle<\/i><\/b>, <b><i>Daniel Tarlow<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=gmwDKo-4cY\">Composing Ensembles of Pre-trained Models via Iterative Consensus<\/a><br \/>\n<br \/><i><br \/>\nShuang Li<\/i>, <i>Yilun Du<\/i>, <i>Joshua B. Tenenbaum<\/i>, <i>Antonio Torralba<\/i>, <b><i>Igor Mordatch<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=oztkQizr3kk\">\u039b-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection Among Cells<\/a><br \/>\n<br \/><i><br \/>\nSajad Movahedi<\/i>, <i>Melika Adabinejad<\/i>, <i>Ayyoob Imani<\/i>, <i>Arezou Keshavarz<\/i>, <b><i>Mostafa Dehghani<\/i><\/b>, <i>Azadeh Shakery<\/i>, <i>Babak N. Araabi<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=OjDkC57x5sz\">Blurring Diffusion Models<\/a><br \/>\n<br \/><b><i><br \/>\nEmiel Hoogeboom<\/i><\/b>, <b><i>Tim Salimans<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=bAMTaeqluh4\">Part-Based Models Improve Adversarial Robustness<\/a><br \/>\n<br \/><i><br \/>\nChawin Sitawarin<\/i>, <i>Kornrapat Pongmala<\/i>, <i>Yizheng Chen<\/i>, <b><i>Nicholas Carlini<\/i><\/b>, <i>David Wagner<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=z0_V5O9cmNw\">Learning in Temporally Structured Environments<\/a><br \/>\n<br \/><b><i><br \/>\nMatt Jones<\/i><\/b>, <b><i>Tyler R. Scott<\/i><\/b>, <b><i>Mengye Ren<\/i><\/b>, <b><i>Gamaleldin ElSayed<\/i><\/b>, <i><b>Katherine Hermann<\/b><\/i>, <b><i>David Mayo<\/i><\/b>, <b><i>Michael C. Mozer<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=TFbwV6I0VLg\">SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models<\/a><br \/>\n<br \/><i><br \/>\nZiyi Wu<\/i>, <i>Nikita Dvornik<\/i>, <b><i>Klaus Greff<\/i><\/b>, <b><i>Thomas Kipf<\/i><\/b>, <i>Animesh Garg<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=I29Kt0RwChs\">Robust Algorithms on Adaptive Inputs from Bounded Adversaries<\/a><br \/>\n<br \/><i><br \/>\nYeshwanth Cherapanamjeri<\/i>, <i>Sandeep Silwal<\/i>, <i>David P. Woodruff<\/i>, <i>Fred Zhang<\/i>, <b><i>Qiuyi (Richard) Zhang<\/i><\/b>, <i>Samson Zhou<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=EnrY5TOrbQ\">Agnostic Learning of General ReLU Activation Using Gradient Descent<\/a><br \/>\n<br \/><b><i><br \/>\nPranjal Awasthi<\/i><\/b>, <i>Alex Tang<\/i>, <i>Aravindan Vijayaraghavan<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=3itjR9QxFw\">Analog Bits: Generating Discrete Data Using Diffusion Models with Self-Conditioning<\/a><br \/>\n<br \/><b><i><br \/>\nTing Chen<\/i><\/b>, <b><i>Ruixiang Zhang<\/i><\/b>, <b><i>Geoffrey Hinton<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=lEkl0jdSb7B\">Any-Scale Balanced Samplers for Discrete Space<\/a><br \/>\n<br \/><i><br \/>\nHaoran Sun<\/i>*, <b><i>Bo Dai<\/i><\/b>, <b><i>Charles Sutton<\/i><\/b>, <b><i>Dale Schuurmans<\/i><\/b>, <b><i>Hanjun Dai<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=kPPVmUF6bM_\">Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation<\/a><br \/>\n<br \/><i><br \/>\nZiqi Wang<\/i>*, <b><i>Yuexin Wu<\/i><\/b>, <b><i>Frederick Liu<\/i><\/b>, <i>Daogao Liu<\/i>, <b><i>Le Hou<\/i><\/b>, <b><i>Hongkun Yu<\/i><\/b>, <b><i>Jing Li<\/i><\/b>, <i>Heng Ji<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=pOyi9KqE56b\">Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD<\/a><br \/>\n<br \/><i><br \/>\nKonstantinos E. Nikolakakis<\/i>, <i>Farzin Haddadpour<\/i>, <b><i>Amin Karbasi<\/i><\/b>, <i>Dionysios S. Kalogerias<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=Ha2MnQM9Ph\">Causal Estimation for Text Data with (Apparent) Overlap Violations<\/a><br \/>\n<br \/><i><br \/>\nLin Gui<\/i>, <b><i>Victor Veitch<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=AjC0KBjiMu\">Contrastive Learning Can Find an Optimal Basis for Approximately View-Invariant Functions<\/a><br \/>\n<br \/><b><i><br \/>\nDaniel D. Johnson<\/i><\/b>, <i>Ayoub El Hanchi<\/i>, <i>Chris J. Maddison<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=j1zQGmQQOX1\">Differentially Private Adaptive Optimization with Delayed Preconditioners<\/a><br \/>\n<br \/><i><br \/>\nTian Li<\/i>, <i>Manzil Zaheer<\/i>, <i>Ziyu Liu<\/i>, <b><i>Sashank Reddi<\/i><\/b>, <b><i>Brendan McMahan<\/i><\/b>, <i>Virginia Smith<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=3KUfbI9_DQE\">Distributionally Robust Post-hoc Classifiers Under Prior Shifts<\/a><br \/>\n<br \/><i><br \/>\nJiaheng Wei<\/i>*, <b><i>Harikrishna Narasimhan<\/i><\/b>, <b><i>Ehsan Amid<\/i><\/b>, <b><i>Wen-Sheng Chu<\/i><\/b>, <i>Yang Liu<\/i>, <b><i>Abhishek Kumar<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=ReDQ1OUQR0X\">Human Alignment of Neural Network Representations<\/a><br \/>\n<br \/><i><br \/>\nLukas Muttenthaler<\/i>, <i>Jonas Dippel<\/i>, <i>Lorenz Linhardt<\/i>, <i>Robert A. Vandermeulen<\/i>, <b><i>Simon Kornblith<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=JpbLyEI5EwW\">Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data<\/a><br \/>\n<br \/><i><br \/>\nSpencer Frei<\/i>, <i>Gal Vardi<\/i>, <b><i>Peter Bartlett<\/i><\/b>, <i>Nathan Srebro<\/i>, <i>Wei Hu<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=kUmdmHxK5N\">Koopman Neural Operator Forecaster for Time-Series with Temporal Distributional Shifts<\/a><br \/>\n<br \/><i><br \/>\nRui Wang<\/i>*, <b><i>Yihe Dong<\/i><\/b>, <b><i>Sercan \u00d6. Arik<\/i><\/b>, <i>Rose Yu<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=mQpmZVzXK1h\">Latent Variable Representation for Reinforcement Learning<\/a><br \/>\n<br \/><b><i><br \/>\nTongzheng Ren<\/i><\/b>, <i>Chenjun Xiao<\/i>, <b><i>Tianjun Zhang<\/i><\/b>, <b><i>Na Li<\/i><\/b>, <i>Zhaoran Wang<\/i>, <i>Sujay Sanghavi<\/i>, <b><i>Dale Schuurmans<\/i><\/b>, <b><i>Bo Dai<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=WZH7099tgfM\">Least-to-Most Prompting Enables Complex Reasoning in Large Language Models<\/a><br \/>\n<br \/><b><i><br \/>\nDenny Zhou<\/i><\/b>, <b><i>Nathanael Scharli<\/i><\/b>, <b><i>Le Hou<\/i><\/b>, <b><i>Jason Wei<\/i><\/b>, <b><i>Nathan Scales<\/i><\/b>, <b><i>Xuezhi Wang<\/i><\/b>, <b><i>Dale Schuurmans<\/i><\/b>, <b><i>Claire Cui<\/i><\/b>, <b><i>Olivier Bousquet<\/i><\/b>, <b><i>Quoc Le<\/i><\/b>, <b><i>Ed Chi<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=4rXMRuoJlai\">Mind&#8217;s Eye: Grounded Language Model Reasoning Through Simulation<\/a><br \/>\n<br \/><b><i><br \/>\nRuibo Liu<\/i><\/b>, <b><i>Jason Wei<\/i><\/b>, <b><i>Shixiang Shane Gu<\/i><\/b>, <i>Te-Yen Wu<\/i>, <i>Soroush Vosoughi<\/i>, <b><i>Claire Cui<\/i><\/b>, <b><i>Denny Zhou<\/i><\/b>, <b><i>Andrew M. Dai<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=H0HGljkxQFN\">MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models<\/a><br \/>\n<br \/><i><br \/>\nChenglin Yang<\/i>*, <b><i>Siyuan Qiao<\/i><\/b>, <i>Qihang Yu<\/i>, <i>Xiaoding Yuan<\/i>, <b><i>Yukun Zhu<\/i><\/b>, <i>Alan Yuille<\/i>, <b><i>Hartwig Adam<\/i><\/b>, <b><i>Liang-Chieh Chen<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=HtoA0oT30jC\">Novel View Synthesis with Diffusion Models<\/a><br \/>\n<br \/><b><i><br \/>\nDaniel Watson<\/i><\/b>, <b><i>William Chan<\/i><\/b>,<b><i>\u00a0Ricardo<\/i><\/b>\u00a0<b><i>Martin-Brualla<\/i><\/b>, <b><i>Jonathan Ho<\/i><\/b>, <b><i>Andrea Tagliasacchi<\/i><\/b>, <b><i>Mohammad Norouzi<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=fYzLpCsGZVf\">On Accelerated Perceptrons and Beyond<\/a><br \/>\n<br \/><i><br \/>\nGuanghui Wang<\/i>, <i>Rafael Hanashiro<\/i>, <i>Etash Guha<\/i>, <b><i>Jacob Abernethy<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=rJcLocAJpA6\">On Compositional Uncertainty Quantification for Seq2seq Graph Parsing<\/a><br \/>\n<br \/><i><br \/>\nZi Lin<\/i>*, <b><i>Du Phan<\/i><\/b>, <b><i>Panupong Pasupat<\/i><\/b>, <b><i>Jeremiah Liu<\/i><\/b>, <i>Jingbo Shang<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=jbIYfq4Tr-\">On the Robustness of Safe Reinforcement Learning Under Observational Perturbations<\/a><br \/>\n<br \/><i><br \/>\nZuxin Liu<\/i>, <i>Zijian Guo<\/i>, <i>Zhepeng Cen<\/i>, <i>Huan Zhang<\/i>, <b><i>Jie Tan<\/i><\/b>, <i>Bo Li<\/i>, <i>Ding Zhao<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=47KG_AvNqeZ\">Online Low Rank Matrix Completion<\/a><br \/>\n<br \/><b><i><br \/>\nPrateek Jain<\/i><\/b>, <b><i>Soumyabrata Pal<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=kJUS5nD0vPB\">Out-of-Distribution Detection and Selective Generation for Conditional Language Models<\/a><br \/>\n<br \/><b><i><br \/>\nJie Ren<\/i><\/b>, <i><b>Jiaming Luo<\/b><\/i>, <b><i>Yao Zhao<\/i><\/b>, <i>Kundan Krishna<\/i>*, <b><i>Mohammad Saleh<\/i><\/b>, <b><i>Balaji Lakshminarayanan<\/i><\/b>, <b><i>Peter J. Liu<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=mWVoBz4W0u\">PaLI: A Jointly-Scaled Multilingual Language-Image Model<\/a><br \/>\n<br \/><b><i><br \/>\nXi Chen<\/i><\/b>, <b><i>Xiao Wang<\/i><\/b>, <b><i>Soravit Changpinyo<\/i><\/b>, <b><i>AJ Piergiovanni<\/i><\/b>, <b><i>Piotr Padlewski<\/i><\/b>, <b><i>Daniel Salz<\/i><\/b>, <b><i>Sebastian Goodman<\/i><\/b>, <b><i>Adam Grycner<\/i><\/b>, <b><i>Basil Mustafa<\/i><\/b>, <b><i>Lucas Beyer<\/i><\/b>, <b><i>Alexander Kolesnikov<\/i><\/b>, <b><i>Joan Puigcerver<\/i><\/b>, <b><i>Nan Ding<\/i><\/b>, <b><i>Keran Rong<\/i><\/b>, <b><i>Hassan Akbari<\/i><\/b>, <b><i>Gaurav Mishra<\/i><\/b>, <b><i>Linting Xue<\/i><\/b>, <b><i>Ashish V. Thapliyal<\/i><\/b>, <b><i>James Bradbury<\/i><\/b>, <b><i>Weicheng Kuo<\/i><\/b>, <b><i>Mojtaba Seyedhosseini<\/i><\/b>, <b><i>Chao Jia<\/i><\/b>, <b><i>Burcu Karagol Ayan<\/i><\/b>, <b><i>Carlos Riquelme Ruiz<\/i><\/b>, <b><i>Andreas Peter Steiner<\/i><\/b>, <b><i>Anelia Angelova<\/i><\/b>, <b><i>Xiaohua Zhai<\/i><\/b>, <b><i>Neil Houlsby<\/i><\/b>, <b><i>Radu Soricut<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=vOEXS39nOF\">Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions<\/a><br \/>\n<br \/><b><i><br \/>\nRuben Villegas<\/i><\/b>, <b><i>Mohammad Babaeizadeh<\/i><\/b>, <b><i>Pieter-Jan Kindermans<\/i><\/b>, <b><i>Hernan Moraldo<\/i><\/b>, <b><i>Han Zhang<\/i><\/b>, <b><i>Mohammad Taghi Saffar<\/i><\/b>, <i>Santiago Castro<\/i>*, <i>Julius Kunze<\/i>*, <b><i>Dumitru Erhan<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=gmL46YMpu2J\">Promptagator: Few-Shot Dense Retrieval from 8 Examples<\/a><br \/>\n<br \/><b><i><br \/>\nZhuyun Dai<\/i><\/b>, <b><i>Vincent Y. Zhao<\/i><\/b>, <b><i>Ji Ma<\/i><\/b>, <b><i>Yi Luan<\/i><\/b>, <b><i>Jianmo Ni<\/i><\/b>, <b><i>Jing Lu<\/i><\/b>, <b><i>Anton Bakalov<\/i><\/b>, <b><i>Kelvin Guu<\/i><\/b>, <b><i>Keith B. Hall<\/i><\/b>, <b><i>Ming-Wei Chang<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=MofT9KEF0kw\">Pushing the Accuracy-Group Robustness Frontier with Introspective Self-Play<\/a><br \/>\n<br \/><b><i><br \/>\nJeremiah Zhe Liu<\/i><\/b>, <b><i>Krishnamurthy Dj Dvijotham<\/i><\/b>, <b><i>Jihyeon Lee<\/i><\/b>, <b><i>Quan Yuan<\/i><\/b>, <b><i>Balaji Lakshminarayanan<\/i><\/b>, <b><i>Deepak Ramachandran<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=XSEBx0iSjFQ\">Re-Imagen: Retrieval-Augmented Text-to-Image Generator<\/a><br \/>\n<brp><b><i><br \/>\nWenhu Chen<\/i><\/b>, <b><i>Hexiang Hu<\/i><\/b>, <b><i>Chitwan Saharia<\/i><\/b>, <b><i>William W. Cohen<br \/>\n<\/i><\/b><\/brp><\/p>\n<p>\n<a href=\"https:\/\/arxiv.org\/pdf\/2210.01296.pdf\">Recitation-Augmented Language Models<\/a><br \/>\n<br \/><b><i><br \/>\nZhiqing Sun<\/i><\/b>, <b><i>Xuezhi Wang<\/i><\/b>, <b><i>Yi Tay<\/i><\/b>, <i>Yiming Yang<\/i>, <b><i>Denny Zhou<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=h9O0wsmL-cT\">Regression with Label Differential Privacy<\/a><br \/>\n<br \/><b><i><br \/>\nBadih Ghazi<\/i><\/b>, <b><i>Pritish Kamath<\/i><\/b>, <b><i>Ravi Kumar<\/i><\/b>, <b><i>Ethan Leeman<\/i><\/b>, <b><i>Pasin Manurangsi<\/i><\/b>, <b><i>Avinash Varadarajan<\/i><\/b>, <b><i>Chiyuan Zhang<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=SNgLnzFQeiD\">Revisiting the Entropy Semiring for Neural Speech Recognition<\/a><br \/>\n<br \/><b><i><br \/>\nOscar Chang<\/i><\/b>, <b><i>Dongseong Hwang<\/i><\/b>, <b><i>Olivier Siohan<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=ALDM5SN2r7M\">Robust Active Distillation<\/a><br \/>\n<br \/><b><i><br \/>\nCenk Baykal<\/i><\/b>, <b><i>Khoa Trinh<\/i><\/b>, <b><i>Fotis Iliopoulos<\/i><\/b>, <b><i>Gaurav Menghani<\/i><\/b>, <b><i>Erik Vee<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=BYWWwSY2G5s\">Score-Based Continuous-Time Discrete Diffusion Models<\/a><br \/>\n<br \/><i><br \/>\nHaoran Sun<\/i>*, <b><i>Lijun Yu<\/i><\/b>, <b><i>Bo Dai<\/i><\/b>, <b><i>Dale Schuurmans<\/i><\/b>, <b><i>Hanjun Dai<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=1PL1NIMMrw\">Self-Consistency Improves Chain of Thought Reasoning in Language Models<\/a><br \/>\n<br \/><b><i><br \/>\nXuezhi Wang<\/i><\/b>, <b><i>Jason Wei<\/i><\/b>, <b><i>Dale Schuurmans<\/i><\/b>, <b><i>Quoc Le<\/i><\/b>, <b><i>Ed H. Chi<\/i><\/b>, <b><i>Sharan Narang<\/i><\/b>, <b><i>Aakanksha Chowdhery<\/i><\/b>, <b><i>Denny Zhou<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=Ubc74gTVo3\">Self-Supervision Through Random Segments with Autoregressive Coding (RandSAC)<\/a><br \/>\n<br \/><b><i><br \/>\nTianyu Hua<\/i><\/b>, <i>Yonglong Tian<\/i>, <i>Sucheng Ren<\/i>, <b><i>Michalis Raptis<\/i><\/b>, <i>Hang Zhao<\/i>, <i>Leonid Sigal<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=T-qVtA3pAxG\">Serving Graph Compression for Graph Neural Networks<\/a><br \/>\n<br \/><b><i><br \/>\nSi Si<\/i><\/b>, <b><i>Felix Yu<\/i><\/b>, <b><i>Ankit Singh Rawat<\/i><\/b>, <i>Cho-Jui Hsieh<\/i>, <b><i>Sanjiv Kumar<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=TTLLGx3eet\">Sequential Attention for Feature Selection<\/a><br \/>\n<br \/><i><br \/>\nTaisuke Yasuda<\/i>*, <b><i>MohammadHossein Bateni<\/i><\/b>, <b><i>Lin Chen<\/i><\/b>, <b><i>Matthew Fahrbach<\/i><\/b>, <b><i>Gang Fu<\/i><\/b>, <b><i>Vahab Mirrokni<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=T5nUQDrM4u\">Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints<\/a><br \/>\n<br \/><i><br \/>\nAran Komatsuzaki<\/i>*, <b><i>Joan Puigcerver<\/i><\/b>, <b><i>James Lee-Thorp<\/i><\/b>, <b><i>Carlos Riquelme<\/i><\/b>, <b><i>Basil Mustafa<\/i><\/b>, <b><i>Joshua Ainslie<\/i><\/b>, <b><i>Yi Tay<\/i><\/b>, <b><i>Mostafa Dehghani<\/i><\/b>, <b><i>Neil Houlsby<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=FBMLeaXpZN\">Spectral Decomposition Representation for Reinforcement Learning<\/a><br \/>\n<br \/><b><i><br \/>\nTongzheng Ren<\/i><\/b>, <b><i>Tianjun Zhang<\/i><\/b>, <b><i>Lisa Lee<\/i><\/b>, <i>Joseph Gonzalez<\/i>, <b><i>Dale Schuurmans<\/i><\/b>, <b><i>Bo Dai<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=9yE2xEj0BH7\">Spotlight: Mobile UI Understanding Using Vision-Language Models with a Focus<\/a>\u00a0(see <a href=\"https:\/\/ai.googleblog.com\/2023\/02\/a-vision-language-approach-for.html\">blog post<\/a>)<br \/><b><i><br \/>\nGang Li<\/i><\/b>, <b><i>Yang Li<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=8jU7wy7N7mA\">Supervision Complexity and Its Role in Knowledge Distillation<\/a><br \/>\n<br \/><i><br \/>\nHrayr Harutyunyan<\/i>*, <b><i>Ankit Singh Rawat<\/i><\/b>, <b><i>Aditya Krishna Menon<\/i><\/b>, <b><i>Seungyeon Kim<\/i><\/b>, <b><i>Sanjiv Kumar<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=GVSf7Z7DbYL\">Teacher Guided Training: An Efficient Framework for Knowledge Transfer<\/a><br \/>\n<br \/><i><br \/>\nManzil Zaheer<\/i>, <b><i>Ankit Singh Rawat<\/i><\/b>, <b><i>Seungyeon Kim<\/i><\/b>, <b><i>Chong You<\/i><\/b>, <b><i>Himanshu Jain<\/i><\/b>, <b><i>Andreas Veit<\/i><\/b>, <i>Rob Fergus<\/i>, <b><i>Sanjiv Kumar<br \/>\n<\/i><\/b><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=gSHyqBijPFO\">TEMPERA: Test-Time Prompt Editing via Reinforcement Learning<\/a><br \/>\n<br \/><i><br \/>\nTianjun Zhang<\/i>, <b><i>Xuezhi Wang<\/i><\/b>, <b><i>Denny Zhou<\/i><\/b>, <b><i>Dale Schuurmans<\/i><\/b>, <i>Joseph E. Gonzalez<br \/>\n<\/i><\/p>\n<p>\n<a href=\"https:\/\/openreview.net\/pdf?id=6ruVLB727MC\">UL2: Unifying Language Learning Paradigms<\/a><br \/>\n<br \/><b><i><br \/>\nYi Tay<\/i><\/b>, <b><i>Mostafa Dehghani<\/i><\/b>, <b><i>Vinh Q. Tran<\/i><\/b>, <b><i>Xavier Garcia<\/i><\/b>, <b><i>Jason Wei<\/i><\/b>, <b><i>Xuezhi Wang<\/i><\/b>, <b><i>Hyung Won Chung<\/i><\/b>, <b><i>Dara Bahri<\/i><\/b>, <b><i>Tal Schuster<\/i><\/b>, <b><i>Steven Zheng<\/i><\/b>, <b><i>Denny Zhou<\/i><\/b>, <b><i>Neil Houlsby<\/i><\/b>, <b><i>Donald Metzler<br \/>\n<\/i><\/b><\/p>\n<p><!--Footnotes--><\/p>\n<hr width=\"80%\"\/>\n<p>\n  * Work done while at Google<\/p>\n<\/div>\n<p>[ad_2]<br \/>\n<br \/><a href=\"http:\/\/ai.googleblog.com\/2023\/04\/google-at-iclr-2023.html\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] Posted by Catherine Armato, Program Manager, Google The Eleventh International Conference on Learning Representations (ICLR 2023) is<\/p>\n","protected":false},"author":2,"featured_media":529,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-528","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-google-ai"],"featured_image_urls":{"full":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02.jpg",1200,630,false],"thumbnail":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02-150x150.jpg",150,150,true],"medium":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02-300x158.jpg",300,158,true],"medium_large":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02-768x403.jpg",640,336,true],"large":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02-1024x538.jpg",640,336,true],"1536x1536":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02.jpg",1200,630,false],"2048x2048":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02.jpg",1200,630,false],"broadnews-featured":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02-1024x538.jpg",1024,538,true],"broadnews-large":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02-825x575.jpg",825,575,true],"broadnews-medium":["https:\/\/todaysainews.com\/wp-content\/uploads\/2023\/05\/Google-Rwanda-Logo-02-590x410.jpg",590,410,true]},"author_info":{"info":["Sanna"]},"category_info":"<a href=\"https:\/\/todaysainews.com\/index.php\/category\/google-ai\/\" rel=\"category tag\">Google AI<\/a>","tag_info":"Google AI","comment_count":"0","_links":{"self":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts\/528","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/comments?post=528"}],"version-history":[{"count":1,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts\/528\/revisions"}],"predecessor-version":[{"id":2808,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/posts\/528\/revisions\/2808"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/media\/529"}],"wp:attachment":[{"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/media?parent=528"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/categories?post=528"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/todaysainews.com\/index.php\/wp-json\/wp\/v2\/tags?post=528"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}