Kelvin Xu

43 papers A* 11C 1Journal 24Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models.
ICML
Marwa Abdulhai, Isadora White, Charlie Victor Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine
2025 A* conf
Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning.
ICLR
Charlie Victor Snell, Jaehoon Lee, Kelvin Xu, Aviral Kumar
2024 J jnl
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.
Trans. Mach. Learn. Res.
Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T. Parisi, Abhishek Kumar, Alexander A. Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel
2024 — conf
ContMulti-objective Optimization Model for Momentum Change Based on Genetic Algorithm.
ICIC (1)
Shuo Zhang, Ziqi Kong, Kelvin Xu, Guangxiao Shi, Zixiao Kong, Xia Li, Jinjin Zan
2024 J jnl
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.
CoRR
Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahare Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay V. Ramasesh, Quoc Le, Ed H. Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska
2024 J jnl
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.
CoRR
Charlie Snell, Jaehoon Lee, Kelvin Xu, Aviral Kumar
2024 A* conf
Small-scale proxies for large-scale Transformer training instabilities.
ICLR
Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie E. Everett, Alexander A. Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
2024 J jnl
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability.
CoRR
Jiri Hron, Laura Culp, Gamaleldin F. Elsayed, Rosanne Liu, Ben Adlam, Maxwell L. Bileschi, Bernd Bohnet, JD Co-Reyes, Noah Fiedel, C. Daniel Freeman, Izzeddin Gur, Kathleen Kenealy, Jaehoon Lee, Peter J. Liu, Gaurav Mishra, Igor Mordatch, Azade Nova, Roman Novak, Aaron Parisi, Jeffrey Pennington, Alex Rizkowsky, Isabelle Simpson, Hanie Sedghi, Jascha Sohl-Dickstein, Kevin Swersky, Sharad Vikram, Tris Warkentin, Lechao Xiao, Kelvin Xu, Jasper Snoek, Simon Kornblith
2023 J jnl
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.
CoRR
Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron Parisi, Abhishek Kumar, Alex Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin F. Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel
2023 A* conf
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance.
ICRA
Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine
2023 J jnl
Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?
CoRR
C. Daniel Freeman, Laura Culp, Aaron Parisi, Maxwell L. Bileschi, Gamaleldin F. Elsayed, Alex Rizkowsky, Isabelle Simpson, Alex Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Igor Mordatch, Izzeddin Gur, Jaehoon Lee, John D. Co-Reyes, Jeffrey Pennington, Kelvin Xu, Kevin Swersky, Kshiteej Mahajan, Lechao Xiao, Rosanne Liu, Simon Kornblith, Noah Constant, Peter J. Liu, Roman Novak, Yundi Qian, Noah Fiedel, Jascha Sohl-Dickstein
2023 J jnl
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models.
CoRR
Marwa Abdulhai, Isadora White, Charlie Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine
2023 J jnl
Small-scale proxies for large-scale Transformer training instabilities.
CoRR
Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie Everett, Alex Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
2022 A* conf
Autonomous Reinforcement Learning: Formalism and Benchmarking.
ICLR
Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn
2022 J jnl
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance.
CoRR
Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine
2022 — —
Towards Adaptive, Continual Embodied Agents
Kelvin Xu
2021 J jnl
Autonomous Reinforcement Learning: Formalism and Benchmarking.
CoRR
Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn
2021 A* conf
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention.
ICRA
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine
2021 J jnl
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention.
CoRR
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine
2020 A* conf
Continual Learning of Control Primitives : Skill Discovery via Reset-Games.
NeurIPS
Kelvin Xu, Siddharth Verma, Chelsea Finn, Sergey Levine
2020 J jnl
Continual Learning of Control Primitives: Skill Discovery via Reset-Games.
CoRR
Kelvin Xu, Siddharth Verma, Chelsea Finn, Sergey Levine
2020 A* conf
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.
ICLR
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2019 A* conf
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning.
ICML
Kelvin Xu, Ellis Ratner, Anca D. Dragan, Sergey Levine, Chelsea Finn
2019 J jnl
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.
CoRR
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
2019 C conf
Privacy-Preserving Fall Detection with Deep Learning on mmWave Radar Signal.
VCIP
Yangfan Sun, Renlong Hang, Zhu Li, Mouqing Jin, Kelvin Xu
2018 J jnl
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning.
CoRR
Kelvin Xu, Ellis Ratner, Anca D. Dragan, Sergey Levine, Chelsea Finn
2018 A* conf
Probabilistic Model-Agnostic Meta-Learning.
NeurIPS
Chelsea Finn, Kelvin Xu, Sergey Levine
2018 J jnl
Probabilistic Model-Agnostic Meta-Learning.
CoRR
Chelsea Finn, Kelvin Xu, Sergey Levine
2018 — conf
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control.
ICLR (Poster)
Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans
2017 — conf
An Actor-Critic Algorithm for Sequence Prediction.
ICLR (Poster)
Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2017 — conf
Bridging the Gap Between Value and Policy Based Reinforcement Learning.
NIPS
Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans
2017 J jnl
Bridging the Gap Between Value and Policy Based Reinforcement Learning.
CoRR
Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans
2017 J jnl
On integrating a language model into neural machine translation.
Comput. Speech Lang.
Çaglar Gülçehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Yoshua Bengio
2017 J jnl
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control.
CoRR
Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans
2017 — conf
Unsupervised Perceptual Rewards for Imitation Learning.
ICLR (Workshop)
Pierre Sermanet, Kelvin Xu, Sergey Levine
2017 — conf
Unsupervised Perceptual Rewards for Imitation Learning.
Robotics: Science and Systems
Pierre Sermanet, Kelvin Xu, Sergey Levine
2016 J jnl
An Actor-Critic Algorithm for Sequence Prediction.
CoRR
Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2016 J jnl
Theano: A Python framework for fast computation of mathematical expressions.
CoRR
Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
2016 J jnl
Unsupervised Perceptual Rewards for Imitation Learning.
CoRR
Pierre Sermanet, Kelvin Xu, Sergey Levine
2015 J jnl
A Controller Recognizer Framework: How necessary is recognition for control?
CoRR
Marcin Moczulski, Kelvin Xu, Aaron C. Courville, Kyunghyun Cho
2015 J jnl
On Using Monolingual Corpora in Neural Machine Translation.
CoRR
Çaglar Gülçehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loïc Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, Yoshua Bengio
2015 A* conf
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
ICML
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio
2015 J jnl
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
CoRR
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio