loss function

A Second-Order Approach to Learning With Instance-Dependent Label Noise CVPR 2021 A Systematic Evaluation of Object Detection Networks for Scientific Plots AAAI 2021 AutoBalance: Optimized Loss Functions for Imbalanced Data NeurIPS 2021 Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation ICLR 2021 Auxiliary Learning by Implicit Differentiation ICLR 2021 Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks AAAI 2021 Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution EMNLP 2021 Bias Loss for Mobile Neural Networks ICCV 2021 Classification vs regression in overparameterized regimes: Does the loss function matter? JMLR 2021 DAM: Discrepancy Alignment Metric for Face Recognition ICCV 2021 Data Augmentation for Text Generation Without Any Augmented Data ACL 2021 Deep Low-Contrast Image Enhancement using Structure Tensor Representation AAAI 2021 Delving Into Localization Errors for Monocular 3D Object Detection CVPR 2021 Discrimination-Aware Mechanism for Fine-Grained Representation Learning CVPR 2021 Disentangled Contour Learning for Quadrilateral Text Detection WACV 2021 Distributional Robustness Loss for Long-Tail Learning ICCV 2021 Do Different Deep Metric Learning Losses Lead to Similar Learned Features? ICCV 2021 DropLoss for Long-Tail Instance Segmentation AAAI 2021 Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection CVPR 2021 EVALUATION OF NEURAL ARCHITECTURES TRAINED WITH SQUARE LOSS VS CROSS-ENTROPY IN CLASSIFICATION TASKS ICLR 2021 Extreme Memorization via Scale of Initialization ICLR 2021 Funnel Deep Complex U-Net for Phase-Aware Speech Enhancement Interspeech 2021 Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels NeurIPS 2021 Hessian Eigenspectra of More Realistic Nonlinear Models NeurIPS 2021 Hierarchical Class-Based Curriculum Loss IJCAI 2021