feature learning

Enhanced Feature Learning with Normalized Knowledge Distillation for Audio Tagging Interspeech 2024 EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost IJCAI 2024 Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization NeurIPS 2024 Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis EMNLP 2024 Exploring Pose-Aware Human-Object Interaction via Hybrid Learning CVPR 2024 Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NeurIPS 2024 Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction CVPR 2024 Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM CVPR 2024 Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ICLR 2024 Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NeurIPS 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024 Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition IJCAI 2024 Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NeurIPS 2024 FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation WACV 2024 Frequency Shuffling and Enhancement for Open Set Recognition AAAI 2024 Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks ACL 2024 Generalizing CNNs to graphs with learnable neighborhood quantization NeurIPS 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NeurIPS 2024 Gradient Reweighting: Towards Imbalanced Class-Incremental Learning CVPR 2024 Graph Neural Networks Need Cluster-Normalize-Activate Modules NeurIPS 2024 Grokking as a First Order Phase Transition in Two Layer Networks ICLR 2024 Grokking as the transition from lazy to rich training dynamics ICLR 2024 Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining AAAI 2024 Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame NeurIPS 2024 Harnessing Edge Information for Improved Robustness in Vision Transformers AAAI 2024