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out-of-distribution generalization

408 papers

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Also known as

OOD GENERALIZATION

Co-occurring keywords

domain generalization (1522) distribution shift (722) representation learning (6206) spurious correlation (279) causal inference (1630) large language model (13587) graph neural network (3962) domain adaptation (4595) transfer learning (5449) data augmentation (3052)

Papers

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization AAAI 2024
Enhancing Distributional Stability among Sub-populations AISTATS 2024
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models CVPR 2024
It Ain’t That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models IJCAI 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NIPS 2024
Towards Robust Learning to Optimize with Theoretical Guarantees CVPR 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. NIPS 2024
Rethinking the Evaluation Protocol of Domain Generalization CVPR 2024
Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning CVPR 2024
A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024
GDA: Generalized Diffusion for Robust Test-time Adaptation CVPR 2024
Transfer CLIP for Generalizable Image Denoising CVPR 2024
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad NIPS 2024
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization NIPS 2024
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models NAACL 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NIPS 2024
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks EMNLP 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NIPS 2024
Learning to Reweight for Generalizable Graph Neural Network AAAI 2024
AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NIPS 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization AAAI 2024
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024