📄 Paper Explainer

Recent Papers from arXiv

• arXiv:2606.03990
  Neuron Populations Exhibit Divergent Selectivity with Scale
  Amil Dravid, Yasaman Bahri, Alexei A. Efros, et al.
  Machine Learning (cs.LG); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
• arXiv:2606.03980
  Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill
  Tao Chen, Gangwei Jiang, Pengyu Cheng, et al.
  Machine Learning (cs.LG); Computation and Language (cs.CL)
• arXiv:2606.03979
  Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories
  Ali Behrouz, Farnoosh Hashemi, Vahab Mirrokni
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2606.03962
  Using Reward Uncertainty to Induce Diverse Behaviour in Reinforcement Learning
  Anthony GX-Chen, Ankit Anand, Gheorghe Comanici, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2606.03939
  FlashbackCL: Mitigating Temporal Forgetting in Federated Learning
  Mubarak A. Ojewale, Adriana E. Chis, Jorge M. Cortes-Mendoza, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Performance (cs.PF)
• arXiv:2606.03938
  q0: Primitives for Hyper-Epoch Pretraining
  Bishwas Mandal, Shmuel Berman, Akshay Vegesna, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2606.03936
  Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations
  Niccolò Perrone, Fanny Lehmann, Stefania Fresca, et al.
  Machine Learning (cs.LG); Geophysics (physics.geo-ph)
• arXiv:2606.03928
  Value-Aware Stochastic KV Cache Eviction for Reasoning Models
  Ting-Yun Chang, Harvey Yiyun Fu, Deqing Fu, et al.
  Machine Learning (cs.LG); Computation and Language (cs.CL)
• arXiv:2606.03927
  FFR: Forward-Forward Learning for Regression
  Xinyang Liu, Xuanyu Liang, Shiqi Ding, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2606.03923
  Contrastive Neural Algorithmic Reasoning for Graph Coloring
  Thien Le, Tianyu Zhao, Melanie Weber
  Machine Learning (cs.LG)
• arXiv:2606.03904
  MAdam: Metric-Aware Multi-Objective Adam
  Fengbei Liu, Rachit Saluja, Sunwoo Kwak, et al.
  Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
• arXiv:2606.03899
  Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
  Xianliang Li, Zihan Zhang, Weiyang Liu, et al.
  Machine Learning (cs.LG)
• arXiv:2606.03885
  Attribution via Distributional Paths for Information Revelation
  Kieran A. Murphy, Shameen Shrestha
  Machine Learning (cs.LG)
• arXiv:2606.03851
  Two-Action Apple Tasting with Switching Costs
  Tommaso Cesari, Roberto Colomboni
  Machine Learning (cs.LG)
• arXiv:2606.03843
  Re-Evaluating Continual Learning with Few-Shot Adaptation
  Amogh Inamdar, Matthew So, Vici Milenia, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2606.03839
  Text-attributed Graph Condensation via Text Selection and Attribute Matching
  Haowei Han, Yuxiang Wang, Guojia Wan, et al.
  Machine Learning (cs.LG)
• arXiv:2606.03831
  Online Learning with Gradient-Variation Interval Regret
  Yan-Feng Xie, Shuche Wang, Peng Zhao, et al.
  Machine Learning (cs.LG); Machine Learning (stat.ML)
• arXiv:2606.03825
  Dynamic Short Convolutions Improve Transformers
  Oliver Sieberling, Bharat Runwal, Rameswar Panda, et al.
  Machine Learning (cs.LG); Computation and Language (cs.CL)
• arXiv:2606.03821
  Finding Needles in the Haystack: Transductive Active Labeling in Ecology
  Rupa Kurinchi-Vendhan, Sara Beery
  Machine Learning (cs.LG)
• arXiv:2606.03819
  TreeFlash: Parallel AR-Approximation for Faster Speculative Decoding
  Peer Rheinboldt, Frédéric Berdoz, Roger Wattenhofer
  Machine Learning (cs.LG)
• arXiv:2606.03808
  PURGE: Projected Unlearning via Retain-Guided Erasure
  Vedant Jawandhia, Daksh Ahuja, Ghufran Alam Siddiqui, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)
• arXiv:2606.03804
  Easy-to-Use Shielding for Reinforcement Learning
  Stefan Pranger, Bettina Könighofer
  Machine Learning (cs.LG)
• arXiv:2606.03800
  Trading Human Curation for Synthetic Augmentation in RLVR
  Akshansh, Leonardo Rosa Rodrigues, Michael Korostelev, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2606.03794
  Limit Analysis of Graph Neural Networks with Wireless Conflict Graphs
  Romina Garcia Camargo, Zhiyang Wang, Alejandro Ribeiro
  Machine Learning (cs.LG); Signal Processing (eess.SP)
• arXiv:2606.03762
  Tool-Aware Optimization with Entropy Guidance for Efficient Agentic Reinforcement Learning
  Hongye Cao, Nuo Yan, Haoyuan Deng, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)