Papers
Deep, long-form breakdowns of recent research in AI, machine learning, security & programming languages.
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Continual Concept Personalization in Diffusion Models via Residual-Space Adaptation
by Yuzhi Liu, Enis Simsar, Giulia Lanzillotta, Thomas Hofmann
Text-to-Image Generative Modeling Without Language Pretraining
by Keshigeyan Chandrasegaran, Yue Zhao, Armin W. Thomas, Ehsan Adeli, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, Michael Poli
Reinforcement Learning with Visually Attributable On-Policy Self-Distillation
by Shiao Xie, Siyu Chen, Jianwei Lv, Xiandong Li, Yujin Wang
WeAct: Dynamic Weight Switching as Agent Actions
by Rui Shi, Xunjian Yin, Jiacheng Sang, Zichuan Liu, Shuyan Zhou
Rethinking the design space of Vanilla Pixel Diffusion Transformers
by Soumik Mukhopadhyay, Long Mai, Abhinav Shrivastava, Aniruddha Mahapatra
Waiting Buys Exactly Two Moments: Endogenous Identification in Prediction-Driven Allocation
by Rama AlHamidi, Rasul Khanbayov, Erchin Serpedin, Hasan Kurban
Learning Personalized Memory Gating from Delayed One-Sided Feedback
by Kaixuan Ji, Zixiang Chen, Wenting Zhao, Cheng Qian, Heng Wang, Weizhi Zhang, Jielin Qiu, Liangwei Yang, Quanquan Gu, Silvio Savarese, Shelby Heinecke, Huan Wang
CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning
by Tianmeng Hu, Biao Luo, Ke Li
Explainable Machine Learning Analysis of Temperature Effects on Mechanical Strength of Fiber-Reinforced High-Performance Concrete
by Jagaran Chakma, Zhiguang Zhou, Badhan Chakma, Priyanta Chakma
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