ICLR 2023 Schedule

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In-Person Oral presentation / top 5% paper

Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD12 None

Efficient Conditionally Invariant Representation Learning

In Oral 3 Track 2: Deep Learning and representational learning

Roman Pogodin · Namrata Deka · Yazhe Li · Danica Sutherland · Victor Veitch · Arthur Gretton

In-Person Oral presentation / top 5% paper

Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD12 None

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction

In Oral 3 Track 2: Deep Learning and representational learning

David Klee · Ondrej Biza · Robert Platt · Robin Walters

In-Person Oral presentation / top 25% paper

Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD12 None

Omnigrok: Grokking Beyond Algorithmic Data

In Oral 3 Track 2: Deep Learning and representational learning

Ziming Liu · Eric Michaud · Max Tegmark

In-Person Oral presentation / top 25% paper

Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD12 None

Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers

In Oral 3 Track 2: Deep Learning and representational learning

Tianlong Chen · Zhenyu Zhang · AJAY JAISWAL · Shiwei Liu · Zhangyang Wang

In-Person Oral presentation / top 5% paper

Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD12 None

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

In Oral 3 Track 2: Deep Learning and representational learning

Juhan Bae · Michael Zhang · Michael Ruan · Duanyang Wang · So Hasegawa · Jimmy Ba · Roger Grosse

In-Person Oral presentation / top 25% paper

Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD12 None

Multi-lingual Evaluation of Code Generation Models

In Oral 3 Track 2: Deep Learning and representational learning

Ben Athiwaratkun · Sanjay Krishna Gouda · Zijian Wang · Xiaopeng Li · YUCHEN TIAN · Ming Tan · Wasi Ahmad · Shiqi Wang · Qing Sun · Mingyue Shang · Sujan Kumar Gonugondla · Hantian Ding · Varun Kumar · Nathan Fulton · Arash Farahani · Siddhartha Jain · Robert Giaquinto · Haifeng Qian · Murali Krishna Ramanathan · Ramesh Nallapati · Baishakhi Ray · Parminder Bhatia · Sudipta Sengupta · Dan Roth · Bing Xiang

In-Person Oral presentation / top 5% paper

Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD12 None

Rethinking the Expressive Power of GNNs via Graph Biconnectivity

In Oral 3 Track 2: Deep Learning and representational learning

Bohang Zhang · Shengjie Luo · Liwei Wang · Di He

In-Person Oral presentation / top 25% paper

Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD12 None

Hyperbolic Deep Reinforcement Learning

In Oral 3 Track 2: Deep Learning and representational learning

Edoardo Cetin · Benjamin Chamberlain · Michael Bronstein · Jonathan J Hunt