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machine learning Oct 20 Reinforcement Learning with Visually Attributable On-Policy Self-Distillation by Shiao Xie, Siyu Chen, Jianwei Lv, Xiandong Li, Yujin Wang machine learning Oct 20 WeAct: Dynamic Weight Switching as Agent Actions by Rui Shi, Xunjian Yin, Jiacheng Sang, Zichuan Liu, Shuyan Zhou machine learning Oct 19 Rethinking the design space of Vanilla Pixel Diffusion Transformers by Soumik Mukhopadhyay, Long Mai, Abhinav Shrivastava, Aniruddha Mahapatra machine learning Oct 19 Waiting Buys Exactly Two Moments: Endogenous Identification in Prediction-Driven Allocation by Rama AlHamidi, Rasul Khanbayov, Erchin Serpedin, Hasan Kurban machine learning Oct 19 CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning by Tianmeng Hu, Biao Luo, Ke Li machine learning Oct 19 Steering beyond Language: Improving Multilingual Training-Free Text Embeddings via Paired-Residual Subspace Removal by Ailiang Lin, Zhuoyun Li, Yusong Wang, Keyu Mao, Kotaro Funakoshi, Manabu Okumura machine learning Oct 19 FuTransformer: FP8 prefill and INT4 decode for Llama-style inference on Hopper by Wei Wang machine learning Oct 19 The Collection of a Real-World, Large-Scale Dataset for Automated Skill Evaluation in Central Line Dressing Change by Ummey Tanin, Shannan K. Hamlin, Hsin-Mei Chen, Peizhu (Pam) Qian machine learning Oct 16 SoftCache: Adaptive Step Size Caching for Diffusion Transformers by Shimon Malnick, Nadav Orenstein, Ohad Fried, Shai Avidan machine learning Oct 16 PathFM: Fast Generative Forecasting of Multivariate Trajectories by Jiachen Yao, Xiyuan Zhang, Annan Yu, Boran Han, Abdul Fatir Ansari, Shuai Zhang, Michael Bohlke-Schneider, Bernie Wang