conftrace_

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

Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning CVPR 2024
Can Biases in ImageNet Models Explain Generalization? CVPR 2024
A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments CVPR 2024
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NIPS 2024
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks EMNLP 2024
Teaching Small Language Models Reasoning through Counterfactual Distillation EMNLP 2024
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks NIPS 2024
A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models EACL 2024
Mitigating Shortcuts in Language Models with Soft Label Encoding COLING 2024
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts NIPS 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NIPS 2024
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning ACL 2024
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification CVPR 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024
Is Programming by Example Solved by LLMs? NIPS 2024
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification CVPR 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NIPS 2024
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination NIPS 2024
Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision IJCAI 2024
Debiasing Multimodal Sarcasm Detection with Contrastive Learning AAAI 2024
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains AAAI 2024
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data AAAI 2024