Jimmy Ba
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
7
Active years
2015–2024
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text. | Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, Jimmy Ba |
| 2024 | ICLR | Identifying the Risks of LM Agents with an LM-Emulated Sandbox. | Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto |
| 2024 | ICML | The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. | Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks |
| 2023 | ACL | Residual Prompt Tuning: improving prompt tuning with residual reparameterization. | Anastasia Razdaibiedina, Yuning Mao, Madian Khabsa, Mike Lewis, Rui Hou, Jimmy Ba, Amjad Almahairi |
| 2023 | AIED | Decomposed Prompting to Answer Questions on a Course Discussion Board. | Brandon Jaipersaud, Paul Zhang, Jimmy Ba, Andrew Petersen, Lisa Zhang, Michael R. Zhang |
| 2023 | ICLR | Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve. | Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Baker Grosse |
| 2023 | ICLR | Large Language Models are Human-Level Prompt Engineers. | Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba |
| 2023 | ICML | TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation. | Zhaoyan Liu, Nol Vouitsis, Satya Krishna Gorti, Jimmy Ba, Gabriel Loaiza-Ganem |
| 2023 | ITiCSE | Classifying Course Discussion Board Questions using LLMs. | Paul Zhang, Brandon Jaipersaud, Jimmy Ba, Andrew Petersen, Lisa Zhang, Michael R. Zhang |
| 2022 | ICLR | Understanding the Variance Collapse of SVGD in High Dimensions. | Jimmy Ba, Murat A. Erdogdu, Marzyeh Ghassemi, Shengyang Sun, Taiji Suzuki, Denny Wu, Tianzong Zhang |
| 2021 | ICLR | When does preconditioning help or hurt generalization? | Shun-ichi Amari, Jimmy Ba, Roger Baker Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu |
| 2021 | ICLR | Mastering Atari with Discrete World Models. | Danijar Hafner, Timothy P. Lillicrap, Mohammad Norouzi, Jimmy Ba |
| 2021 | ICLR | Planning from Pixels using Inverse Dynamics Models. | Keiran Paster, Sheila A. McIlraith, Jimmy Ba |
| 2021 | ICLR | INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving. | Yuhuai Wu, Albert Q. Jiang, Jimmy Ba, Roger Baker Grosse |
| 2021 | ICML | Efficient Statistical Tests: A Neural Tangent Kernel Approach. | Sheng Jia, Ehsan Nezhadarya, Yuhuai Wu, Jimmy Ba |
| 2021 | ICML | LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning. | Yuhuai Wu, Markus N. Rabe, Wenda Li, Jimmy Ba, Roger B. Grosse, Christian Szegedy |
| 2020 | AISTATS | An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise. | Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba |
| 2020 | ICLR | Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint. | Jimmy Ba, Murat A. Erdogdu, Taiji Suzuki, Denny Wu, Tianzong Zhang |
| 2020 | ICLR | Dream to Control: Learning Behaviors by Latent Imagination. | Danijar Hafner, Timothy P. Lillicrap, Jimmy Ba, Mohammad Norouzi |
| 2020 | ICLR | An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. | Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba |
| 2020 | ICLR | Exploring Model-based Planning with Policy Networks. | Tingwu Wang, Jimmy Ba |
| 2020 | ICLR | On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach. | Yuanhao Wang, Guodong Zhang, Jimmy Ba |
| 2020 | ICLR | BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning. | Yeming Wen, Dustin Tran, Jimmy Ba |
| 2020 | ICML | Improving Transformer Optimization Through Better Initialization. | Xiao Shi Huang, Felipe Prez, Jimmy Ba, Maksims Volkovs |
| 2020 | ICML | Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning. | Silviu Pitis, Harris Chan, Stephen Zhao, Bradly C. Stadie, Jimmy Ba |
| 2020 | UAI | Learning Intrinsic Rewards as a Bi-Level Optimization Problem. | Bradly C. Stadie, Lunjun Zhang, Jimmy Ba |
| 2019 | ICLR | DOM-Q-NET: Grounded RL on Structured Language. | Sheng Jia, Jamie Kiros, Jimmy Ba |
| 2019 | ICLR | Neural Graph Evolution: Towards Efficient Automatic Robot Design. | Tingwu Wang, Yuhao Zhou, Sanja Fidler, Jimmy Ba |
| 2018 | ICLR | Kronecker-factored Curvature Approximations for Recurrent Neural Networks. | James Martens, Jimmy Ba, Matt Johnson |
| 2018 | ICLR | NerveNet: Learning Structured Policy with Graph Neural Networks. | Tingwu Wang, Renjie Liao, Jimmy Ba, Sanja Fidler |
| 2018 | ICLR | Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches. | Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger B. Grosse |
| 2017 | ICLR | Distributed Second-Order Optimization using Kronecker-Factored Approximations. | Jimmy Ba, Roger B. Grosse, James Martens |
| 2015 | ICML | Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. | Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio |