Loss Functions

Additive Phoneme-Aware Margin Softmax Loss for Language Recognition Interspeech 2021 Addressing Class Imbalance in Federated Learning AAAI 2021 Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup EMNLP 2021 Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification SemEval 2021 An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021 A regularization term for slide correlation reduction in whole slide image analysis with deep learning MIDL 2021 ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks ICML 2021 A Second-Order Approach to Learning With Instance-Dependent Label Noise CVPR 2021 ASR Posterior-Based Loss for Multi-Task End-to-End Speech Translation Interspeech 2021 A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation MIDL 2021 Asymmetric Loss for Multi-Label Classification ICCV 2021 Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021 A Tutorial on Evaluation Metrics used in Natural Language Generation NAACL 2021 AutoBalance: Optimized Loss Functions for Imbalanced Data NeurIPS 2021 Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation ICLR 2021 Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021 Bias Loss for Mobile Neural Networks ICCV 2021 Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ACL 2021 Boosted CVaR Classification NeurIPS 2021 Calibration and Consistency of Adversarial Surrogate Losses NeurIPS 2021 Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences AAAI 2021 Class Anchor Clustering: A Loss for Distance-Based Open Set Recognition WACV 2021 Classification with Rejection Based on Cost-sensitive Classification ICML 2021 Conditional Temporal Neural Processes with Covariance Loss ICML 2021 Consistent-Separable Feature Representation for Semantic Segmentation AAAI 2021