feature space

2D-Shapley: A Framework for Fragmented Data Valuation ICML 2023 AdaptiveMix: Improving GAN Training via Feature Space Shrinkage CVPR 2023 Adversarial Alignment for Source Free Object Detection AAAI 2023 An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023 AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification ICCV 2023 A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning ICCV 2023 A Unified Framework for Robustness on Diverse Sampling Errors ICCV 2023 Balancing Logit Variation for Long-Tailed Semantic Segmentation CVPR 2023 Beam Search Optimized Batch Bayesian Active Learning AAAI 2023 Boosting Text Augmentation via Hybrid Instance Filtering Framework ACL 2023 Closed Boundary Learning for Classification Tasks with the Universum Class EMNLP 2023 Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study ICCV 2023 Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning AAAI 2023 Data Selection for Language Models via Importance Resampling NeurIPS 2023 Decoupling MaxLogit for Out-of-Distribution Detection CVPR 2023 Deep Deterministic Uncertainty: A New Simple Baseline CVPR 2023 Delving into Motion-Aware Matching for Monocular 3D Object Tracking ICCV 2023 Demystifying Randomly Initialized Networks for Evaluating Generative Models AAAI 2023 Diffusion Model as Representation Learner ICCV 2023 Feature Expansion for Graph Neural Networks ICML 2023 Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness AAAI 2023 FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction CVPR 2023 Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation CVPR 2023 Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection ICML 2023 Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup CVPR 2023