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All Explained Papers · cs.LG

167 papers in cs.LG. Page 2 of 9. ← Back to home

• arXiv:2107.07511 · cs.LG+4 · submitted 2021-07-15 · explained 2026-05-20
  A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
  Anastasios N. Angelopoulos, Stephen Bates
• arXiv:2106.12059 · cs.LG+1 · submitted 2021-06-22 · explained 2026-05-20
  Stochastic Batch Acquisition: Simple Baseline for Deep Active Learning
  Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, et al.
• arXiv:2012.05208 · cs.NE+2 · submitted 2020-12-09 · explained 2026-05-20
  On the Binding Problem in Artificial Neural Networks
  Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
• arXiv:2009.03300 · cs.CY+3 · submitted 2020-09-07 · explained 2026-05-20
  Measuring Massive Multitask Understanding
  Dan Hendrycks, Collin Burns, Steven Basart, et al.
• arXiv:2003.00534 · cs.LG+2 · submitted 2020-03-01 · explained 2026-05-20
  Provably Efficient Safe Exploration Primal-Dual Policy Optimization
  Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, et al.
• arXiv:1904.12843 · cs.LG+3 · submitted 2019-04-29 · explained 2026-05-20
  Adversarial Training for Free!
  Ali Shafahi, Mahyar Najibi, Amin Ghiasi, et al.
• arXiv:1901.11390 · cs.CV+2 · submitted 2019-01-22 · explained 2026-05-20
  MONet: Unsupervised Scene Decomposition and Representation
  Christopher P. Burgess, Loic Matthey, Nicholas Watters, et al.
• arXiv:1804.11271 · stat.ML+1 · submitted 2018-04-30 · explained 2026-05-20
  Gaussian Process Behaviour in Wide Deep Neural Networks
  Alexander G. de G. Matthews, Mark Rowland, Jiri Hron, et al.
• arXiv:1803.10122 · cs.LG+1 · submitted 2018-03-27 · explained 2026-05-20
  World Models
  David Ha, Jürgen Schmidhuber
• arXiv:1707.03904 · cs.CL+2 · submitted 2017-07-12 · explained 2026-05-20
  Quasar: Datasets for Question Answering by and Reading
  Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen
• arXiv:1607.06450 · stat.ML+1 · submitted 2016-07-21 · explained 2026-05-20
  Layer Normalization
  Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton
• arXiv:1503.02531 · stat.ML+2 · submitted 2015-03-09 · explained 2026-05-20
  Distilling the Knowledge in a Neural Network
  Geoffrey Hinton, Oriol Vinyals, Jeff Dean
• arXiv:2605.14087 · cs.CL+1 · submitted 2026-05-13 · explained 2026-05-20
  Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study
  Mokshit Surana, Archit Rathod, Akshaj Satishkumar
• arXiv:2605.14366 · cs.CL+1 · submitted 2026-05-14 · explained 2026-05-20
  Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax
  Zeli Su, Ziyin Zhang, Zhou Liu, et al.
• arXiv:2605.14747 · cs.CL+3 · submitted 2026-05-14 · explained 2026-05-20
  Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining
  Weimin Xiong, Shuhao Gu, Bowen Ye, et al.
• arXiv:2605.14749 · cs.CL+2 · submitted 2026-05-14 · explained 2026-05-20
  Non-linear Interventions on Large Language Models
  Sangwoo Kim
• arXiv:2605.15077 · cs.CL+2 · submitted 2026-05-14 · explained 2026-05-17
  Concurrency without Model Changes: Future-based Asynchronous Function Calling for LLMs
  Guangyu Feng, Huanzhi Mao, Prabal Dutta, et al.
• arXiv:2605.15156 · cs.CL+2 · submitted 2026-05-14 · explained 2026-05-17
  MeMo: Memory as a Model
  Ryan Wei Heng Quek, Sanghyuk Lee, Alfred Wei Lun Leong, et al.
• arXiv:2605.15168 · cs.CL+3 · submitted 2026-05-14 · explained 2026-05-17
  Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment
  Sayantan Kumar, Shahriar Noroozizadeh, Juyong Kim, et al.
• arXiv:2605.14764 · cs.LG+1 · submitted 2026-05-14 · explained 2026-05-17
  Compositional Sparsity as an Inductive Bias for Neural Architecture Design
  Hongyu Lin, Antonio Briola, Yuanrong Wang, et al.