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

Data Augmentations for Improved (Large) Language Model Generalization NIPS 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023
Understanding and Improving Feature Learning for Out-of-Distribution Generalization NIPS 2023
Learning Invariant Molecular Representation in Latent Discrete Space NIPS 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization NIPS 2023
DynaDojo: An Extensible Platform for Benchmarking Scaling in Dynamical System Identification NIPS 2023
Neural Algorithmic Reasoning Without Intermediate Supervision NIPS 2023
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples NIPS 2023
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features NIPS 2023
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization NIPS 2023
Improving the robustness of NLI models with minimax training ACL 2023
Rethinking Masked Language Modeling for Chinese Spelling Correction ACL 2023
Improving Generalization With Domain Convex Game CVPR 2023
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models CVPR 2023
Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View EMNLP 2023
On the Adversarial Robustness of Out-of-distribution Generalization Models NIPS 2023
Neural Image Compression: Generalization, Robustness, and Spectral Biases NIPS 2023
Reusable Slotwise Mechanisms NIPS 2023
Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects NIPS 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization NIPS 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection ICML 2023
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters ICCV 2023
An Empirical Study on the Language Modal in Visual Question Answering IJCAI 2023
Learning Conditional Generative Models for Phase Retrieval JMLR 2023
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals EMNLP 2022