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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Loss Functions
1162 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 3
2007: 4
2008: 3
2009: 5
2010: 7
2011: 11
2012: 11
2013: 8
2014: 15
2015: 18
2016: 16
2017: 30
2018: 57
2019: 124
2020: 120
2021: 165
2022: 140
2023: 174
2024: 111
2025: 106
2026: 32
Papers
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation
CVPR 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
NIPS 2024
A Computation-Aware Shape Loss Function for Point Cloud Completion
AAAI 2024
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
AAAI 2024
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract)
IJCAI 2024
Cardinality-Aware Set Prediction and Top-$k$ Classification
NIPS 2024
Uncertainty-Aware GAN for Single Image Super Resolution
AAAI 2024
Consistent Hierarchical Classification with A Generalized Metric
AISTATS 2024
Reducing Speech Distortion and Artifacts for Speech Enhancement by Loss Function
INTERSPEECH 2024
Mitigating Underfitting in Learning to Defer with Consistent Losses
AISTATS 2024
Scoring with Confidence? – Exploring High-confidence Scoring for Saving Manual Grading Effort
NAACL 2024
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
AAAI 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
AISTATS 2024
Surrogate Bayesian Networks for Approximating Evolutionary Games
AISTATS 2024
Improving Readability Assessment with Ordinal Log-Loss
NAACL 2024
Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
CVPR 2024
Non-contrastive sentence representations via self-supervision
NAACL 2024
TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed Text
NAACL 2024
Suppressing Uncertainty in Gaze Estimation
AAAI 2024
IR2: Information Regularization for Information Retrieval
COLING 2024
Distantly-Supervised Joint Extraction with Noise-Robust Learning
ACL 2024
Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning
COLING 2024
Evaluating Generative Language Models in Information Extraction as Subjective Question Correction
COLING 2024
Sequence Reducible Holdout Loss for Language Model Pretraining
COLING 2024
Soft metrics for evaluation with disagreements: an assessment
COLING 2024
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