feature learning

Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise Suppression CVPR 2025 PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model AAAI 2025 QCS:Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition AAAI 2025 Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons AISTATS 2025 R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection ICLR 2025 Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds CVPR 2025 Relaxed Rotational Equivariance via G-Biases in Vision AAAI 2025 Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning ICCV 2025 Rethinking Word Similarity: Semantic Similarity through Classification Confusion NAACL 2025 Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination AAAI 2025 Robust Feature Learning for Multi-Index Models in High Dimensions ICLR 2025 Rotation-Equivariant Self-Supervised Method in Image Denoising CVPR 2025 Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection ICCV 2025 SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds CVPR 2025 ScaleMatch: Multi-scale Consistency Enhancement for Semi-supervised Semantic Segmentation AAAI 2025 SLVR: Super-Light Visual Reconstruction via Blueprint Controllable Convolutions and Exploring Feature Diversity Representation CVPR 2025 Sparse autoencoders reveal selective remapping of visual concepts during adaptation ICLR 2025 Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model AAAI 2025 Structured IB: Improving Information Bottleneck with Structured Feature Learning AAAI 2025 Superpose Task-specific Features for Model Merging EMNLP 2025 Tensor Network Based Feature Learning Model AISTATS 2025 Tensor Network-Constrained Kernel Machines as Gaussian Processes AISTATS 2025 The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning JMLR 2025 The Importance of Being Lazy: Scaling Limits of Continual Learning ICML 2025 The Optimization Landscape of SGD Across the Feature Learning Strength ICLR 2025