Loss Functions

Learning to Rank for Plausible Plausibility ACL 2019 Learning With Average Precision: Training Image Retrieval With a Listwise Loss ICCV 2019 Learning with Bad Training Data via Iterative Trimmed Loss Minimization ICML 2019 Learning with Non-Convex Truncated Losses by SGD UAI 2019 Libra R-CNN: Towards Balanced Learning for Object Detection CVPR 2019 Locating Objects Without Bounding Boxes CVPR 2019 Lossless or Quantized Boosting with Integer Arithmetic ICML 2019 Multi-Observation Regression AISTATS 2019 Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning CVPR 2019 Noise-Tolerant Paradigm for Training Face Recognition CNNs CVPR 2019 On Symmetric Losses for Learning from Corrupted Labels ICML 2019 Optimization of False Acceptance/Rejection Rates and Decision Threshold for End-to-End Text-Dependent Speaker Verification Systems Interspeech 2019 Optimizing a Speaker Embedding Extractor Through Backend-Driven Regularization Interspeech 2019 Optimizing the F-Measure for Threshold-Free Salient Object Detection ICCV 2019 Ordinal Triplet Loss: Investigating Sleepiness Detection from Speech Interspeech 2019 Phase-Aware Speech Enhancement with Deep Complex U-Net ICLR 2019 Quality Aware Generative Adversarial Networks NeurIPS 2019 Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function ACL 2019 Region Mutual Information Loss for Semantic Segmentation NeurIPS 2019 RegularFace: Deep Face Recognition via Exclusive Regularization CVPR 2019 Regularization in directable environments with application to Tetris ICML 2019 Regularized Gradient Boosting NeurIPS 2019 Regularizing Model-Based Planning with Energy-Based Models CoRL 2019 Rethinking Loss Design for Large-scale 3D Shape Retrieval IJCAI 2019 Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function AAAI 2019