out-of-distribution generalization

On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization AAAI 2023 Out-of-Distribution Generalization by Neural-Symbolic Joint Training AAAI 2023 Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 PAC Generalization via Invariant Representations ICML 2023 Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization ICLR 2023 PGrad: Learning Principal Gradients For Domain Generalization ICLR 2023 PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales ICLR 2023 Prompting GPT-3 To Be Reliable ICLR 2023 Provably Invariant Learning without Domain Information ICML 2023 Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization EACL 2023 ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction EMNLP 2023 Rethinking Masked Language Modeling for Chinese Spelling Correction ACL 2023 Reusable Slotwise Mechanisms NeurIPS 2023 RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization NeurIPS 2023 Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023 Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features NeurIPS 2023 SurfsUP: Learning Fluid Simulation for Novel Surfaces ICCV 2023 Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples NeurIPS 2023 Test-time Adaptation with Slot-Centric Models ICML 2023 Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization ICML 2023 The Tunnel Effect: Building Data Representations in Deep Neural Networks NeurIPS 2023 Topology-aware Robust Optimization for Out-of-Distribution Generalization ICLR 2023 Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View EMNLP 2023 Towards Constituting Mathematical Structures for Learning to Optimize ICML 2023