The International Conference on Learning Representations (ICLR) 2022 is being hosted virtually from April 25th - April 29th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford!

List of Accepted Papers

Authors: Archit Sharma*, Kelvin Xu*, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn
Contact: architsh@stanford.edu
Links: Paper | Website
Keywords: reinforcement learning, continual learning, reset-free reinforcement learning

Authors: Weixin Liang, James Zou
Contact: wxliang@stanford.edu
Links: Paper | Video | Website
Keywords: benchmark dataset, distribution shift, out-of-domain generalization

Authors: Sang Michael Xie, Aditi Raghunathan, Percy Liang, Tengyu Ma
Contact: xie@cs.stanford.edu
Links: Paper | Video
Keywords: gpt-3, in-context learning, pretraining, few-shot learning

Authors: Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
Contact: xikunz2@cs.stanford.edu
Award nominations: Spotlight
Links: Paper | Website
Keywords: knowledge graph, question answering, language model, commonsense reasoning, graph neural networks, biomedical qa

Authors: Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
Contact: eric.mitchell@cs.stanford.edu
Links: Paper | Website
Keywords: model editing; meta-learning; language models; continual learning; temporal generalization

Authors: Kyle Hsu, Moo Jin Kim, Rafael Rafailov, Jiajun Wu, Chelsea Finn
Contact: kylehsu@cs.stanford.edu
Award nominations: Oral Presentation
Links: Paper | Website
Keywords: reinforcement learning, observation space, out-of-distribution generalization, visuomotor control, robotics, manipulation

Authors: Qi Li*, Kaichun Mo*, Yanchao Yang, Hang Zhao, Leonidas J. Guibas
Contact: kaichun@cs.stanford.edu
Links: Paper
Keywords: embodied ai, 3d scene graph, interactive perception

Authors: Ruihai Wu*, Yan Zhao*, Kaichun Mo*, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong
Contact: kaichun@cs.stanford.edu
Links: Paper | Video | Website
Keywords: visual affordance learning, robotic manipulation, 3d perception, interactive perception

Authors: Rose E Wang, Esin Durmus, Noah Goodman, Tatsunori Hashimoto
Contact: rewang@stanford.edu
Award nominations: Oral Presentation
Links: Paper | Video | Website
Keywords: contrastive learning, language modeling, stochastic processes

Authors: Agrim Gupta, Linxi Fan, Surya Ganguli, Li Fei-Fei
Contact: agrim@stanford.edu
Links: Paper | Video | Website
Keywords: rl, modular robots, transformers

Authors: Ananya Kumar
Contact: ananya@cs.stanford.edu
Award nominations: Oral Presentation
Links: Paper
Keywords: fine-tuning theory, transfer learning theory, fine-tuning, distribution shift, implicit regularization

Authors: Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger
Contact: virajm@cs.cmu.edu, neiswanger@cs.stanford.edu
Links: Paper
Keywords: reinforcement learning, model-based reinforcement learning, mbrl, bayesian optimal experimental design, boed, bax

Authors: Sabri Eyuboglu*, Maya Varma*, Khaled Saab*, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Contact: {eyuboglu,mvarma2,ksaab}@stanford.edu
Award nominations: Oral Presentation
Links: Paper | Blog Post | Website
Keywords: robustness, subgroup analysis, error analysis, multimodal, slice discovery

Authors: Tri Dao, Beidi Chen, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré
Contact: trid@stanford.edu
Award nominations: Spotlight
Links: Paper | Blog Post
Keywords: sparse training, butterfly matrices

Authors: Ashwin Paranjape, Omar Khattab, Christopher Potts, Matei Zaharia, Christopher D Manning
Contact: ashwinp@cs.stanford.edu
Links: Paper
Keywords: retrieval, generation, retrieval-augmented generation, open-ended generation, informative conversations, free-form qa, posterior distribution, elbo

Authors: Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu
Contact: koven@cs.stanford.edu
Links: Paper | Video | Website
Keywords: object-centric representation, unsupervised, 3d object discovery

Authors: Albert Gu, Karan Goel, Christopher Ré
Contact: albertgu@stanford.edu
Award nominations: Outstanding Paper Honorable Mention
Links: Paper | Blog Post | Video
Keywords: hippo

Authors: Brett W. Larsen, Stanislav Fort, Nic Becker, Surya Ganguli
Contact: bwlarsen@stanford.edu
Links: Paper
Keywords: loss landscape, high-dimensional geometry, random hyperplanes, optimization

Authors: Lingjiao Chen, Matei Zaharia, James Zou
Contact: lingjiao@stanford.edu
Links: Paper | Website
Keywords: mlaas, performance shifts, ml systems

We look forward to seeing you at ICLR 2022!