Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modellingby Gang Dang, Dianhui WangFirst submitted to…
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learningby Chengsong Huang, Langlin Huang,…
VideoAgent: Self-Improving Video Generationby Achint Soni, Sreyas Venkataraman, Abhranil Chandra, Sebastian Fischmeister, Percy Liang, Bo…
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Modelsby Fei Wang, Li…
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shiftby Yanru Sun, Zongxia Xie,…
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defenseby Rui Min, Zeyu Qin, Nevin…
Symmetry Discovery for Different Data Typesby Lexiang Hu, Yikang Li, Zhouchen LinFirst submitted to arxiv…
Towards characterizing the value of edge embeddings in Graph Neural Networksby Dhruv Rohatgi, Tanya Marwah,…
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoningby Yan Scholten, Stephan GünnemannFirst…
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Recordsby…