Loss Functions
1,220 papers
Papers per year
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Papers
Wasserstein of Wasserstein Loss for Learning Generative Models
ICML 2019
When does label smoothing help?
NeurIPS 2019
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping
CVPR 2018
A loss framework for calibrated anomaly detection
NeurIPS 2018
Angular Softmax for Short-Duration Text-independent Speaker Verification
Interspeech 2018
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB
CVPR 2018
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
CVPR 2018
BLEU is Not Suitable for the Evaluation of Text Simplification
EMNLP 2018
CENTEMENT at SemEval-2018 Task 1: Classification of Tweets using Multiple Thresholds with Self-correction and Weighted Conditional Probabilities
SemEval 2018
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval
IJCAI 2018
Characters or Morphemes: How to Represent Words?
ACL 2018
Connectionist Temporal Classification with Maximum Entropy Regularization
NeurIPS 2018
Convex Elicitation of Continuous Properties
NeurIPS 2018
Correcting Length Bias in Neural Machine Translation
EMNLP 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition
CVPR 2018
DA-IICT/IIITV System for Low Resource Speech Recognition Challenge 2018
Interspeech 2018
Deformation Aware Image Compression
CVPR 2018
Edit Probability for Scene Text Recognition
CVPR 2018
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
JMLR 2018
Efficient Optimization for Rank-Based Loss Functions
CVPR 2018
Energy-Based Hindsight Experience Prioritization
CoRL 2018
Ensemble Soft-Margin Softmax Loss for Image Classification
IJCAI 2018
Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement
Interspeech 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
NeurIPS 2018
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
EMNLP 2018