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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
Uncertainty-Aware GAN for Single Image Super Resolution
AAAI 2024
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
AAAI 2024
Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models
ACL 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
AISTATS 2024
Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization
AAAI 2024
Scoring with Confidence? – Exploring High-confidence Scoring for Saving Manual Grading Effort
NAACL 2024
TueSents at SemEval-2024 Task 8: Predicting the Shift from Human Authorship to Machine-generated Output in a Mixed Text
NAACL 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
AAAI 2024
Instruction Tuning With Loss Over Instructions
NIPS 2024
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract)
AAAI 2024
ROUGE-K: Do Your Summaries Have Keywords?
NAACL 2024
The Role of n-gram Smoothing in the Age of Neural Networks
NAACL 2024
Improving Readability Assessment with Ordinal Log-Loss
NAACL 2024
Geometric-Averaged Preference Optimization for Soft Preference Labels
NIPS 2024
Non-contrastive sentence representations via self-supervision
NAACL 2024
Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning
COLING 2024
Learning with Fitzpatrick Losses
NIPS 2024
IR2: Information Regularization for Information Retrieval
COLING 2024
Misalignment-Robust Frequency Distribution Loss for Image Transformation
CVPR 2024
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
NIPS 2024
Soft metrics for evaluation with disagreements: an assessment
COLING 2024
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract)
IJCAI 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint)
IJCAI 2024
Label Confidence Weighted Learning for Target-level Sentence Simplification
EMNLP 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
NIPS 2024
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