Papers

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machine learning Oct 02 Learn the Directions, Normalize the Gains: Post-Training Normalization for LoRA by Zailong Tian, Yanzhe Chen, Zhuoheng Han, Houfeng Wang, Lizi Liao machine learning Oct 01 Semifactual Credit-Augmented Policy Optimization by Junshu Pan, Zhizhang Fu, Shulin Huang, Yiran Ding, Zifan Cheng, Wenqi Shao, Qiaosheng Zhang, Yue Zhang machine learning Oct 01 Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text by Dulhan Jayalath, Oiwi Parker Jones machine learning Oct 01 Scaling Laws for Looped Mixture of Experts by Yanbei Chen, Anirudh Goyal, Raghuraman Krishnamoorthi machine learning Oct 01 Compression Footprints as Security Signals for Model-Poisoning Defense in Federated Learning by Sachi Shome, William Eiers machine learning Oct 01 Looped Diffusion Transformer by Yong Xien Chng, Tianyi Chen, Wenwen Tong, Haiwen Diao, Zhongang Cai, Lei Yang, Ziwei Liu, Lewei Lu, Dahua Lin, Gao Huang machine learning Sep 30 Cropland PAtteRNS: Parallel Dimensional Attention Networks and Attention to Dataset Disparity for Crop Segmentation in Satellite Imagery Time Series Data by Joseph Metcalfe, Sara Sharifzadeh, Fabio Caraffini machine learning Sep 30 Breakdown of Local Denoising as Semantic Speciation by Guangkuo Liu, Mert Okyay, Yifan F. Zhang, Fangjun Hu, Rahul Nandkishore, Xun Gao machine learning Sep 30 LeapQuant: Efficient Linear Attention with Accurate Recurrent State Quantization by Yi Pan, Haocheng Xi, Kan Zhu, Xingyang Li, Yibo Wu, Mayank Mishra, Hongtao Zhang, William X.Zheng, Baris Kasikci, Song Han, Kurt Keutzer, Rishabh Iyer, Ion Stoica machine learning Sep 30 Pretraining Latent Information Feedback Transformers with Teacher Supervision by Dor Tirosh, Ido Amos, Mor Geva