feature learning

SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection ICCV 2023 Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network ICCV 2023 Self-supervision through Random Segments with Autoregressive Coding (RandSAC) ICLR 2023 Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification CVPR 2023 Simplicity Bias in 1-Hidden Layer Neural Networks NeurIPS 2023 Spectral Evolution and Invariance in Linear-width Neural Networks NeurIPS 2023 Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet ICCV 2023 Stubborn Lexical Bias in Data and Models ACL 2023 Style Projected Clustering for Domain Generalized Semantic Segmentation CVPR 2023 Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG IJCAI 2023 Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction ACL 2023 The Benefits of Mixup for Feature Learning ICML 2023 The Curious Case of Benign Memorization ICLR 2023 The Power of Contrast for Feature Learning: A Theoretical Analysis JMLR 2023 Token Contrast for Weakly-Supervised Semantic Segmentation CVPR 2023 Towards Better Decision Forests: Forest Alternating Optimization CVPR 2023 Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities NeurIPS 2023 Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks ICLR 2023 Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency ACML 2023 Two-Way Multi-Label Loss CVPR 2023 Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection CVPR 2023 Understanding and Improving Feature Learning for Out-of-Distribution Generalization NeurIPS 2023 Understanding and Improving Features Learned in Deep Functional Maps CVPR 2023 Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023 Understanding Representation Learnability of Nonlinear Self-Supervised Learning AAAI 2023