generalizability

Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach ICML 2025 FIC-TSC: Learning Time Series Classification with Fisher Information Constraint ICML 2025 Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization ICML 2025 Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning MLHC 2025 MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility ICLR 2025 On the Robustness of Reward Models for Language Model Alignment ICML 2025 Origin Identification for Text-Guided Image-to-Image Diffusion Models ICML 2025 Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation ICML 2025 VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data ICML 2025 Volume-Aware Distance for Robust Similarity Learning ICML 2025 Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer ICML 2025 Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment ICML 2024 An Explicit Frame Construction for Normalizing 3D Point Clouds ICML 2024 Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective CoRL 2024 DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training ICML 2024 DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images ICML 2024 EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving CoRL 2024 Graph Neural PDE Solvers with Conservation and Similarity-Equivariance ICML 2024 MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis ICML 2024