cross-entropy loss

On the Importance of Firth Bias Reduction in Few-Shot Classification ICLR 2022 Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation CVPR 2022 PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions ICLR 2022 Ranking-Constrained Learning with Rationales for Text Classification ACL 2022 Reconstructing Test Labels from Noisy Loss Functions AISTATS 2022 Resolving Training Biases via Influence-based Data Relabeling ICLR 2022 Scaling Laws for Neural Machine Translation ICLR 2022 Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes CVPR 2022 Test Time Adaptation via Conjugate Pseudo-labels NeurIPS 2022 Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias NeurIPS 2022 Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks AAAI 2022 YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic SemEval 2022 A Geometric Analysis of Neural Collapse with Unconstrained Features NeurIPS 2021 AutoBalance: Optimized Loss Functions for Imbalanced Data NeurIPS 2021 Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ACL 2021 Class Anchor Clustering: A Loss for Distance-Based Open Set Recognition WACV 2021 Consistent-Separable Feature Representation for Semantic Segmentation AAAI 2021 Contrastive Learning for Label Efficient Semantic Segmentation ICCV 2021 Data and Parameter Scaling Laws for Neural Machine Translation EMNLP 2021 Deep Neural Network Calibration for E2E Speech Recognition System Interspeech 2021 Disentangling Label Distribution for Long-Tailed Visual Recognition CVPR 2021 Dissecting Supervised Contrastive Learning ICML 2021 EVALUATION OF NEURAL ARCHITECTURES TRAINED WITH SQUARE LOSS VS CROSS-ENTROPY IN CLASSIFICATION TASKS ICLR 2021 Exploring Supervised and Unsupervised Rewards in Machine Translation EACL 2021 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021