Application Areas

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources NeurIPS 2023 Out-of-Distribution Detection via Frequency-Regularized Generative Models WACV 2023 Out-of-distribution Detection with Implicit Outlier Transformation ICLR 2023 Out-of-Distribution Generalization by Neural-Symbolic Joint Training AAAI 2023 Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 Out-of-distribution Representation Learning for Time Series Classification ICLR 2023 Out-of-Domain Robustness via Targeted Augmentations ICML 2023 OvarNet: Towards Open-Vocabulary Object Attribute Recognition CVPR 2023 Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions AAAI 2023 Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay AAAI 2023 Overcoming Language Priors for Visual Question Answering via Loss Rebalancing Label and Global Context UAI 2023 Overcoming Simplicity Bias in Deep Networks using a Feature Sieve ICML 2023 Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability CVPR 2023 Over-Training with Mixup May Hurt Generalization ICLR 2023 Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews EMNLP 2023 Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles ACL 2023 Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients’ Active Diagnoses and Problems from Electronic Health Record Progress Notes ACL 2023 Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization ACL 2023 Overwriting Pretrained Bias with Finetuning Data ICCV 2023 PAC Generalization via Invariant Representations ICML 2023 PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile NeurIPS 2023 PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation ICCV 2023 PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels ICCV 2023 PAD-Net: An Efficient Framework for Dynamic Networks ACL 2023