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All Explained Papers · cs.LG

1727 papers in cs.LG. Page 9 of 87. ← Back to home

• arXiv:2310.00166 · cs.AI+1 · submitted 2023-09-29 · explained 2026-08-19
  Motif: Intrinsic Motivation from Artificial Intelligence Feedback
  Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, et al.
• arXiv:2307.08691 · cs.LG · submitted 2023-07-17 · explained 2026-08-19
  FlashAttention-2:
  Tri Dao
• arXiv:2305.17390 · cs.CL+4 · submitted 2023-05-27 · explained 2026-08-19
  SWIFT SAGE: A Generative Agent with
  Bill Yuchen Lin, Yicheng Fu, Karina Yang, et al.
• arXiv:2303.00001 · cs.LG+2 · submitted 2023-02-27 · explained 2026-08-19
  Reward Design with Language Models
  Minae Kwon, Sang Michael Xie, Kalesha Bullard, et al.
• arXiv:2302.11552 · cs.LG+3 · submitted 2023-02-22 · explained 2026-08-19
  Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
  Yilun Du, Conor Durkan, Robin Strudel, et al.
• arXiv:2302.06692 · cs.LG+2 · submitted 2023-02-13 · explained 2026-08-19
  Guiding Pretraining in Reinforcement Learning with Large Language Models
  Yuqing Du, Olivia Watkins, Zihan Wang, et al.
• arXiv:2302.02662 · cs.LG · submitted 2023-02-06 · explained 2026-08-19
  Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
  Thomas Carta, Clément Romac, Thomas Wolf, et al.
• arXiv:2207.05608 · cs.RO+4 · submitted 2022-07-12 · explained 2026-08-19
  Embodied Reasoning through Planning with Language Models
  Wenlong Huang, Fei Xia, Ted Xiao, et al.
• arXiv:2207.01780 · cs.LG+2 · submitted 2022-07-05 · explained 2026-08-19
  Pretrained Models and Deep Reinforcement Learning
  Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.
• arXiv:2205.14135 · cs.LG · submitted 2022-05-27 · explained 2026-08-19
  FlashAttention: Fast and Memory-Efficient Exact Attention
  Tri Dao, Daniel Y. Fu, Stefano Ermon, et al.
• arXiv:2204.01691 · cs.RO+2 · submitted 2022-04-04 · explained 2026-08-19
  Do As I Can, Not As I Say: Language in Robotic Affordances
  Michael Ahn, Anthony Brohan, Noah Brown, et al.
• arXiv:2105.05233 · cs.LG+3 · submitted 2021-05-11 · explained 2026-08-19
  Diffusion Models Beat GANs on Image Synthesis
  Prafulla Dhariwal, Alex Nichol
• arXiv:2005.02357 · cs.CV+1 · submitted 2020-05-05 · explained 2026-08-19
  Sub-Image Anomaly Detection with Deep Pyramid Correspondences
  Niv Cohen, Yedid Hoshen
• arXiv:2001.02908 · eess.SP+1 · submitted 2020-01-09 · explained 2026-08-19
  Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
  Mingxing Xu, Wenrui Dai, Chunmiao Liu, et al.
• arXiv:1906.07343 · cs.LG+3 · submitted 2019-06-18 · explained 2026-08-19
  Language as an Abstraction for Hierarchical Deep Reinforcement Learning
  Yiding Jiang, Shixiang Gu, Kevin Murphy, et al.
• arXiv:1906.02994 · stat.ML+1 · submitted 2019-06-07 · explained 2026-08-19
  Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality
  Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, et al.
• arXiv:1810.08575 · cs.LG+2 · submitted 2018-10-19 · explained 2026-08-19
  Supervising strong learners amplifying weak experts
  Paul Christiano, Buck Shlegeris, Dario Amodei
• arXiv:1806.07366 · cs.LG+2 · submitted 2018-06-19 · explained 2026-08-19
  Neural Ordinary Differential Equations
  Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, et al.
• arXiv:1805.00899 · stat.ML+1 · submitted 2018-05-02 · explained 2026-08-19
  AI safety via debate
  Geoffrey Irving, Paul Christiano, Dario Amodei
• arXiv:1611.01796 · cs.LG+1 · submitted 2016-11-06 · explained 2026-08-19
  Modular Multitask Reinforcement Learning with Policy Sketches
  Jacob Andreas, Dan Klein, Sergey Levine