Yann Dubois

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Single Facility

Information Bottleneck

Lossy Compression

Stochastic Process

Top Venues

Publications

Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
Learning to (Learn at Test Time): RNNs with Expressive Hidden States. CoRR (2024)
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox. ICLR (2024)
Yann Dubois, Balázs Galambosi, Percy Liang, Tatsunori B. Hashimoto
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators. CoRR (2024)
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
Identifying the Risks of LM Agents with an LM-Emulated Sandbox. CoRR (2023)
Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
Learning Instance-Specific Augmentations by Capturing Local Invariances. ICML (2023)
Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. CoRR (2023)
Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
Is a Caption Worth a Thousand Images? A Study on Representation Learning. ICLR (2023)
Yann Dubois, Tatsunori Hashimoto, Percy Liang
Evaluating Self-Supervised Learning via Risk Decomposition. CoRR (2023)
Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. NeurIPS (2023)
Yann Dubois, Tatsunori Hashimoto, Percy Liang
Evaluating Self-Supervised Learning via Risk Decomposition. ICML (2023)
Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning. CoRR (2022)
Yangjun Ruan, Yann Dubois, Chris J. Maddison
Optimal Representations for Covariate Shift. ICLR (2022)
Yangjun Ruan, Yann Dubois, Chris J. Maddison
Optimal Representations for Covariate Shift. CoRR (2022)
Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim
Learning Instance-Specific Data Augmentations. CoRR (2022)
Yann Dubois, Tatsunori Hashimoto, Stefano Ermon, Percy Liang
Improving Self-Supervised Learning by Characterizing Idealized Representations. CoRR (2022)
Yann Dubois, Stefano Ermon, Tatsunori B. Hashimoto, Percy Liang
Improving Self-Supervised Learning by Characterizing Idealized Representations. NeurIPS (2022)
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison
Lossy Compression for Lossless Prediction. CoRR (2021)
Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison
Lossy Compression for Lossless Prediction. NeurIPS (2021)
Yann Dubois, Douwe Kiela, David J. Schwab, Ramakrishna Vedantam
Learning Optimal Representations with the Decodable Information Bottleneck. NeurIPS (2020)
Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni
Location Attention for Extrapolation to Longer Sequences. ACL (2020)
Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. CoRR (2020)
Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
Convolutional Conditional Neural Processes. ICLR (2020)
Andrew Y. K. Foong, Wessel Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. NeurIPS (2020)
Yann Dubois, Douwe Kiela, David J. Schwab, Ramakrishna Vedantam
Learning Optimal Representations with the Decodable Information Bottleneck. CoRR (2020)
Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
Convolutional Conditional Neural Processes. CoRR (2019)
Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni
Location Attention for Extrapolation to Longer Sequences. CoRR (2019)
Thibault Arloing, Yann Dubois, Stéphane Ducasse, Damien Cassou
Pillar: A Versatile and Extensible Lightweight Markup Language. IWST (2016)