Image Classification

Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales NeurIPS 2022 Learning with convolution and pooling operations in kernel methods NeurIPS 2022 Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations ICLR 2022 Less Is More: Pay Less Attention in Vision Transformers AAAI 2022 LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout NeurIPS 2022 Margin Calibration for Long-Tailed Visual Recognition ACML 2022 MCMAE: Masked Convolution Meets Masked Autoencoders NeurIPS 2022 Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers AAAI 2022 Moving Window Regression: A Novel Approach to Ordinal Regression CVPR 2022 Multi-Label Iterated Learning for Image Classification With Label Ambiguity CVPR 2022 MViTv2: Improved Multiscale Vision Transformers for Classification and Detection CVPR 2022 Nested Collaborative Learning for Long-Tailed Visual Recognition CVPR 2022 NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition CVPR 2022 OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression NeurIPS 2022 Peripheral Vision Transformer NeurIPS 2022 Personalized Image Aesthetics Assessment With Rich Attributes CVPR 2022 Phase Collapse in Neural Networks ICLR 2022 Relational Proxies: Emergent Relationships as Fine-Grained Discriminators NeurIPS 2022 Relaxing Equivariance Constraints with Non-stationary Continuous Filters NeurIPS 2022 Revisiting Sparse Convolutional Model for Visual Recognition NeurIPS 2022 ReX: An Efficient Approach to Reducing Memory Cost in Image Classification AAAI 2022 Semi-supervised Vision Transformers at Scale NeurIPS 2022 Sketching based Representations for Robust Image Classification with Provable Guarantees NeurIPS 2022 Sparse MLP for Image Recognition: Is Self-Attention Really Necessary? AAAI 2022 Sparse Winning Tickets are Data-Efficient Image Recognizers NeurIPS 2022