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Fast Efficient Hyperparameter Tuning for Policy Gradient Methods
Supratik Paul, Vitaly Kurin, Shimon Whiteson
Neural Information Processing Systems http://nips.cc/
Scaling provable adversarial defenses
Eric Wong, Frank Schmidt, Jan Hendrik Metzen, J. Zico Kolter
Neural Information Processing Systems http://nips.cc/
PyramidCLIP: HierarchicalFeatureAlignmentfor Vision-languageModelPretraining AnonymousAuthor(s) Affiliation Address email
Zhuang, K. Li, H. Cheng, X. Guo, F. Huang, R. Ji, and X. Sun, "Disco: Remedy213 self-supervised learning on lightweight models with distilled contrastive learning,"arXiv preprint214 arXiv:2104.09124,2021.215
Improved Algorithms for Collaborative PAC Learning
Neural Information Processing Systems http://nips.cc/
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
Even in large language models, negative transfer problems may still exist.
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
Even in large language models, negative transfer problems may still exist.
Playing hard exploration games by watching YouTube
Yusuf Aytar, Tobias Pfaff, David Budden, Thomas Paine, Ziyu Wang, Nando de Freitas
Deep reinforcement learning methods traditionally struggle withtaskswhere environment rewards are particularly sparse.
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD Xiaoyi Dong
The Large Vision-Language Model (L VLM) field has seen significant advancements, yet its progression has been hindered by challenges in comprehending fine-grained visual content due to limited resolution.
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
Fredrik Lindsten, Jouni Helske, Matti Vihola
Neural Information Processing Systems http://nips.cc/