Loss Functions

Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024 Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization AAAI 2024 Mitigating Underfitting in Learning to Defer with Consistent Losses AISTATS 2024 More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation EMNLP 2024 Multi-Label Learning with Stronger Consistency Guarantees NeurIPS 2024 Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms NeurIPS 2024 Non-contrastive sentence representations via self-supervision NAACL 2024 Omnipredictors for regression and the approximate rank of convex functions COLT 2024 On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization EACL 2024 On the Limitations of Temperature Scaling for Distributions with Overlaps ICLR 2024 Ordinal Classification With Distance Regularization for Robust Brain Age Prediction WACV 2024 PCIC at SMM4H 2024: Enhancing Reddit Post Classification on Social Anxiety Using Transformer Models and Advanced Loss Functions ACL 2024 PCICUNAM at WASSA 2024: Cross-lingual Emotion Detection Task with Hierarchical Classification and Weighted Loss Functions ACL 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NeurIPS 2024 Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models ICLR 2024 Post-Hoc Reversal: Are We Selecting Models Prematurely? NeurIPS 2024 Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms ALT 2024 PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation NeurIPS 2024 RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses CVPR 2024 Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer NeurIPS 2024 Reducing Speech Distortion and Artifacts for Speech Enhancement by Loss Function Interspeech 2024 Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction ACL 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 Rethinking Loss Functions for Fact Verification EACL 2024 Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NeurIPS 2024