conftrace_

out-of-distribution generalization

408 papers

Explore in graph

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

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach AAAI 2024
Exploring Compositional Generalization of Large Language Models NAACL 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad NIPS 2024
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning CVPR 2024
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography NIPS 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NIPS 2024
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains AAAI 2024
Aligning Language Models to Explicitly Handle Ambiguity EMNLP 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance NIPS 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NIPS 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NIPS 2024
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification CVPR 2024
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination NIPS 2024
Mind the Label Shift of Augmentation-Based Graph OOD Generalization CVPR 2023
HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models ACL 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization AAAI 2023
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction ICCV 2023
Provably Invariant Learning without Domain Information ICML 2023
PAC Generalization via Invariant Representations ICML 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal ICML 2023