loss function

Memoryless Sequences for General Losses JMLR 2020 Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection AAAI 2020 Moving in the Right Direction: A Regularization for Deep Metric Learning CVPR 2020 On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems Interspeech 2020 On Parameter Adaptation in Softmax-Based Cross-Entropy Loss for Improved Convergence Speed and Accuracy in DNN-Based Speaker Recognition Interspeech 2020 Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates ICML 2020 Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting EMNLP 2020 Robust Deep Ordinal Regression under Label Noise ACML 2020 Speech Emotion Recognition with Discriminative Feature Learning Interspeech 2020 Stochastic Loss Function AAAI 2020 SuperLoss: A Generic Loss for Robust Curriculum Learning NeurIPS 2020 Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction EMNLP 2020 Using a Penalty-based Loss Re-estimation Method to Improve Implicit Discourse Relation Classification COLING 2020 A General and Adaptive Robust Loss Function CVPR 2019 Aggregation Cross-Entropy for Sequence Recognition CVPR 2019 Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty ICCV 2019 A Strong and Robust Baseline for Text-Image Matching ACL 2019 A Walkthrough for the Principle of Logit Separation IJCAI 2019 Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019 Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019 BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019 CFSNet: Toward a Controllable Feature Space for Image Restoration ICCV 2019 Class-Balanced Loss Based on Effective Number of Samples CVPR 2019 Complementary-Label Learning for Arbitrary Losses and Models ICML 2019 Conservative Wasserstein Training for Pose Estimation ICCV 2019