Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Searchby Max Liu, Chan-Hung Yu,…
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching…
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Predictionby Kai Zhao, Zuojie He,…
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphereby Hongwei Bran Li, Cheng Ouyang, Tamaz…
Multi-Level Additive Modeling for Structured Non-IID Federated Learningby Shutong Chen, Tianyi Zhou, Guodong Long, Jie…
Inaccurate Label Distribution Learning with Dependency Noiseby Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin GengFirst…
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Modelsby…
Causal-aware Graph Neural Architecture Search under Distribution Shiftsby Peiwen Li, Xin Wang, Zeyang Zhang, Yijian…
Exploring a Multimodal Fusion-based Deep Learning Network for Detecting Facial Palsyby Heng Yim Nicole Oo,…
Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulationby Itamar Zimerman, Ameen Ali, Lior…