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Loss Functions

1162 directly classified papers

Papers per year

Papers

Image-to-Image Translation with Multi-Path Consistency Regularization IJCAI 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning IJCAI 2019
A General and Adaptive Robust Loss Function CVPR 2019
Rethinking Loss Design for Large-scale 3D Shape Retrieval IJCAI 2019
Optimizing the F-Measure for Threshold-Free Salient Object Detection ICCV 2019
A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing EMNLP 2019
Experimenting with Power Divergences for Language Modeling EMNLP 2019
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning CVPR 2019
Describing Like Humans: On Diversity in Image Captioning CVPR 2019
Lossless or Quantized Boosting with Integer Arithmetic ICML 2019
Learning Neural Networks with Adaptive Regularization NIPS 2019
Toward a Characterization of Loss Functions for Distribution Learning NIPS 2019
Quality Aware Generative Adversarial Networks NIPS 2019
Learning With Average Precision: Training Image Retrieval With a Listwise Loss ICCV 2019
Theoretically Principled Trade-off between Robustness and Accuracy ICML 2019
Learning with Bad Training Data via Iterative Trimmed Loss Minimization ICML 2019
Regularization in directable environments with application to Tetris ICML 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment ICML 2019
Dropout as a Structured Shrinkage Prior ICML 2019
DTeam @ VarDial 2019: Ensemble based on skip-gram and triplet loss neural networks for Moldavian vs. Romanian cross-dialect topic identification NAACL 2019
Identifying and Reducing Gender Bias in Word-Level Language Models NAACL 2019
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning EMNLP 2019
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets MIDL 2019
Wasserstein of Wasserstein Loss for Learning Generative Models ICML 2019
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition AAAI 2019