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conftrace_

generalization

150 papers

Papers

Harmonizing Generalization and Personalization in Federated Prompt Learning ICML 2024 Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition ICML 2024 How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? ICML 2024 How Graph Neural Networks Learn: Lessons from Training Dynamics ICML 2024 How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers ICML 2024 Improving Neural Logic Machines via Failure Reflection ICML 2024 In-Context Reinforcement Learning for Variable Action Spaces ICML 2024 Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning ICML 2024 INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer ICML 2024 Is Mamba Capable of In-Context Learning? AutoML 2024 LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies ICML 2024 Learning to Intervene on Concept Bottlenecks ICML 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets ICML 2024 LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views ICML 2024 ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data CoRL 2024 MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance ICML 2024 Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks ICML 2024 Non-rigid Relative Placement through 3D Dense Diffusion CoRL 2024 On Statistical Learning Theory for Distributional Inputs ICML 2024 PAPM: A Physics-aware Proxy Model for Process Systems ICML 2024 Perfect Alignment May be Poisonous to Graph Contrastive Learning ICML 2024 Position: Compositional Generative Modeling: A Single Model is Not All You Need ICML 2024 Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining ICML 2024 Position: Future Directions in the Theory of Graph Machine Learning ICML 2024 Prediction-powered Generalization of Causal Inferences ICML 2024