← Optimization & Theory
Machine Learning › Optimization & Theory ›

Loss Functions

1162 directly classified papers

Papers per year

Papers

Funnel Deep Complex U-Net for Phase-Aware Speech Enhancement INTERSPEECH 2021
Improving Classifier Confidence using Lossy Label-Invariant Transformations AISTATS 2021
CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement CVPR 2021
Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints IJCAI 2021
A Tutorial on Evaluation Metrics used in Natural Language Generation NAACL 2021
An Alternative Probabilistic Interpretation of the Huber Loss CVPR 2021
IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection SEMEVAL 2021
MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection SEMEVAL 2021
Learning from Complementary Labels via Partial-Output Consistency Regularization IJCAI 2021
Label Confusion Learning to Enhance Text Classification Models AAAI 2021
Learning Constraints and Descriptive Segmentation for Subevent Detection EMNLP 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels NIPS 2021
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning NIPS 2021
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract) AAAI 2021
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation ACL 2021
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective CVPR 2021
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning EACL 2021
Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021
Semi-Supervised Text Classification with Balanced Deep Representation Distributions IJCNLP 2021
A Cognitive Regularizer for Language Modeling IJCNLP 2021
Boosted CVaR Classification NIPS 2021
Surrogate Regret Bounds for Polyhedral Losses NIPS 2021
Addressing Class Imbalance in Federated Learning AAAI 2021
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study IJCAI 2021
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ACL 2021