Image Classification

Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule ACML 2022 Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation NeurIPS 2022 Learning with Domain Knowledge to Develop Justifiable Convolutional Networks ACML 2022 Margin Calibration for Long-Tailed Visual Recognition ACML 2022 Free Lunch for Few-shot Learning: Distribution Calibration ICLR 2021 Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study ICLR 2021 Hotels-50K: A Global Hotel Recognition Dataset AAAI 2019 Classification-Driven Dynamic Image Enhancement CVPR 2018 Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers ICLR 2018 Dilated Residual Networks CVPR 2017 Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation NeurIPS 2015 Deep Multiple Instance Learning for Image Classification and Auto-Annotation CVPR 2015 Deep Representations and Codes for Image Auto-Annotation NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008