out-of-distribution generalization

Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs WACV 2024 Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains AAAI 2024 Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift ICLR 2024 Mitigating Shortcuts in Language Models with Soft Label Encoding COLING 2024 Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024 N-agent Ad Hoc Teamwork NeurIPS 2024 Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization NeurIPS 2024 On the generalization capacity of neural networks during generic multimodal reasoning ICLR 2024 On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024 On the Universal Truthfulness Hyperplane Inside LLMs EMNLP 2024 Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024 Out-of-distribution generalisation in spoken language understanding Interspeech 2024 Out-of-Variable Generalisation for Discriminative Models ICLR 2024 Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization ICLR 2024 PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning ACL 2024 Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials COLING 2024 PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF AAAI 2024 Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE ICML 2024 Real-Fake: Effective Training Data Synthesis Through Distribution Matching ICLR 2024 Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning CVPR 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NeurIPS 2024 Rethinking the Evaluation Protocol of Domain Generalization CVPR 2024 Robust Fine-tuning of Zero-shot Models via Variance Reduction NeurIPS 2024