out-of-distribution generalization

Enhancing Distributional Stability among Sub-populations AISTATS 2024 Ensemble Pruning for Out-of-distribution Generalization ICML 2024 Exploring Compositional Generalization of Large Language Models NAACL 2024 Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification CVPR 2024 GDA: Generalized Diffusion for Robust Test-time Adaptation CVPR 2024 GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NeurIPS 2024 Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024 Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization NeurIPS 2024 How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad NeurIPS 2024 HYPO: Hyperspherical Out-Of-Distribution Generalization ICLR 2024 Improving Domain Generalization with Domain Relations ICLR 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NeurIPS 2024 Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR 2024 Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective NeurIPS 2024 In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax NAACL 2024 Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NeurIPS 2024 InstructEdit: Instruction-Based Knowledge Editing for Large Language Models IJCAI 2024 Invariant Random Forest: Tree-Based Model Solution for OOD Generalization AAAI 2024 Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks EMNLP 2024 Is Programming by Example Solved by LLMs? NeurIPS 2024 It Ain’t That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models IJCAI 2024 Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024 Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks NeurIPS 2024 Learning to Reweight for Generalizable Graph Neural Network AAAI 2024 Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification CVPR 2024