Co-occurring keywords · papers mentioning both
Papers
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
NeurIPS 2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
ICLR 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
NeurIPS 2024
Simple Hierarchical Planning with Diffusion
ICLR 2024
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models
NAACL 2024
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
ICLR 2024
Spurious Feature Diversification Improves Out-of-distribution Generalization
ICLR 2024
Task-Oriented Hierarchical Object Decomposition for Visuomotor Control
CoRL 2024
Teaching Small Language Models Reasoning through Counterfactual Distillation
EMNLP 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
NeurIPS 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
ICML 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NeurIPS 2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
NeurIPS 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation
AAAI 2024
Towards Robust Learning to Optimize with Theoretical Guarantees
CVPR 2024
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
ICLR 2024
Transfer CLIP for Generalizable Image Denoising
CVPR 2024
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
NeurIPS 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
NeurIPS 2024
Understanding the Effects of RLHF on LLM Generalisation and Diversity
ICLR 2024
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data
AAAI 2024
Unraveling the Key Components of OOD Generalization via Diversification
ICLR 2024
Unveiling Project-Specific Bias in Neural Code Models
COLING 2024
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
NeurIPS 2024
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
NeurIPS 2024