Loss Functions

RNN Architecture Learning with Sparse Regularization EMNLP 2019 Robust Bi-Tempered Logistic Loss Based on Bregman Divergences NeurIPS 2019 Robustness via Curvature Regularization, and Vice Versa CVPR 2019 Scene Parsing via Integrated Classification Model and Variance-Based Regularization CVPR 2019 Sentence-Wise Smooth Regularization for Sequence to Sequence Learning AAAI 2019 Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NeurIPS 2019 Single-Frame Regularization for Temporally Stable CNNs CVPR 2019 Speech Denoising with Deep Feature Losses Interspeech 2019 Stochastic Negative Mining for Learning with Large Output Spaces AISTATS 2019 Summary Level Training of Sentence Rewriting for Abstractive Summarization EMNLP 2019 Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019 T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition AAAI 2019 TexturePose: Supervising Human Mesh Estimation With Texture Consistency ICCV 2019 The Level Weighted Structural Similarity Loss: A Step Away from MSE AAAI 2019 Theoretically Principled Trade-off between Robustness and Accuracy ICML 2019 Three Mechanisms of Weight Decay Regularization ICLR 2019 Topology-Preserving Deep Image Segmentation NeurIPS 2019 Toward a Characterization of Loss Functions for Distribution Learning NeurIPS 2019 Towards Accurate One-Stage Object Detection With AP-Loss CVPR 2019 Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks NeurIPS 2019 Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer AAAI 2019 Two-temperature logistic regression based on the Tsallis divergence AISTATS 2019 Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer EMNLP 2019 Variance-based Regularization with Convex Objectives JMLR 2019 VoiceID Loss: Speech Enhancement for Speaker Verification Interspeech 2019