Loss Functions

Continual Learning for Multi-Dialect Acoustic Models Interspeech 2020 Convex Calibrated Surrogates for the Multi-Label F-Measure ICML 2020 Curvature-corrected learning dynamics in deep neural networks ICML 2020 Deep Hierarchical Classification for Category Prediction in E-commerce System ACL 2020 DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures ICLR 2020 Deep Learning on Small Datasets without Pre-Training using Cosine Loss WACV 2020 Deep Smoothing of the Implied Volatility Surface NeurIPS 2020 Dice Loss for Data-imbalanced NLP Tasks ACL 2020 Discount Factor as a Regularizer in Reinforcement Learning ICML 2020 Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression AAAI 2020 Distributionally Robust Neural Networks ICLR 2020 Does label smoothing mitigate label noise? ICML 2020 Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training ACL 2020 Do We Need Zero Training Loss After Achieving Zero Training Error? ICML 2020 DR Loss: Improving Object Detection by Distributional Ranking CVPR 2020 Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion NeurIPS 2020 Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition Interspeech 2020 Equalization Loss for Long-Tailed Object Recognition CVPR 2020 Escaping the Gravitational Pull of Softmax NeurIPS 2020 Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020 Exploring Question-Specific Rewards for Generating Deep Questions COLING 2020 F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering EMNLP 2020 Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks AAAI 2020 Focal Loss for Punctuation Prediction Interspeech 2020 From Predictions to Decisions: Using Lookahead Regularization NeurIPS 2020