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Loss Functions

1162 directly classified papers

Papers per year

Papers

Complementary-Contradictory Feature Regularization Against Multimodal Overfitting WACV 2024
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift AAAI 2024
Improving Readability Assessment with Ordinal Log-Loss NAACL 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024
Non-contrastive sentence representations via self-supervision NAACL 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NIPS 2024
Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification CVPR 2024
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation CVPR 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NIPS 2024
ROUGE-K: Do Your Summaries Have Keywords? NAACL 2024
Misalignment-Robust Frequency Distribution Loss for Image Transformation CVPR 2024
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo WACV 2024
TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed Text NAACL 2024
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NIPS 2024
Distantly-Supervised Joint Extraction with Noise-Robust Learning ACL 2024
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NIPS 2024
Make Continual Learning Stronger via C-Flat NIPS 2024
Decoupled Kullback-Leibler Divergence Loss NIPS 2024
Rethinking Loss Functions for Fact Verification EACL 2024
The Role of n-gram Smoothing in the Age of Neural Networks NAACL 2024
Scoring with Confidence? – Exploring High-confidence Scoring for Saving Manual Grading Effort NAACL 2024
More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation EMNLP 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NIPS 2024
Soft metrics for evaluation with disagreements: an assessment COLING 2024
Expert load matters: operating networks at high accuracy and low manual effort NIPS 2023