Loss Functions

Seesaw Loss for Long-Tailed Instance Segmentation CVPR 2021 Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints IJCAI 2021 Shape From Semantic Segmentation via the Geometric Renyi Divergence WACV 2021 Sharpness-aware Minimization for Efficiently Improving Generalization ICLR 2021 Simpson's Bias in NLP Training AAAI 2021 Smoothing and Shrinking the Sparse Seq2Seq Search Space NAACL 2021 Soft Calibration Objectives for Neural Networks NeurIPS 2021 Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition ICCV 2021 Speech Enhancement with Topology-Enhanced Generative Adversarial Networks (GANs) Interspeech 2021 Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021 Surrogate Regret Bounds for Polyhedral Losses NeurIPS 2021 The Earth Mover’s Pinball Loss: Quantiles for Histogram-Valued Regression ICML 2021 The Spatially-Correlative Loss for Various Image Translation Tasks CVPR 2021 Tilting the playing field: Dynamical loss functions for machine learning ICML 2021 Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples NeurIPS 2021 Towards Learning Spatially Discriminative Feature Representations ICCV 2021 Towards Robustness of Deep Neural Networks via Regularization ICCV 2021 Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021 Training Over-parameterized Models with Non-decomposable Objectives NeurIPS 2021 Transferable Semantic Augmentation for Domain Adaptation CVPR 2021 Uncertainty-Driven Loss for Single Image Super-Resolution NeurIPS 2021 Understanding Decoupled and Early Weight Decay AAAI 2021 Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding ACL 2021 Using Question Answering Rewards to Improve Abstractive Summarization EMNLP 2021 VarifocalNet: An IoU-Aware Dense Object Detector CVPR 2021