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Methodology
← 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
Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder
INTERSPEECH 2021
Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification
SEMEVAL 2021
Soft Calibration Objectives for Neural Networks
NIPS 2021
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
ACL 2021
Uncertainty-Driven Loss for Single Image Super-Resolution
NIPS 2021
Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification
EMNLP 2021
Error-Sensitive Evaluation for Ordinal Target Variables
EMNLP 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
NIPS 2021
Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences
AAAI 2021
Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation
AAAI 2021
From Label Smoothing to Label Relaxation
AAAI 2021
Simpson's Bias in NLP Training
AAAI 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract)
AAAI 2021
MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection
IJCNLP 2021
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
NIPS 2021
On the interplay between data structure and loss function in classification problems
NIPS 2021
Exploring Distantly-Labeled Rationales in Neural Network Models
ACL 2021
Multi-Loss Weighting With Coefficient of Variations
WACV 2021
Generic Perceptual Loss for Modeling Structured Output Dependencies
CVPR 2021
Shape From Semantic Segmentation via the Geometric Renyi Divergence
WACV 2021
Enhanced Regularizers for Attributional Robustness
AAAI 2021
Understanding Decoupled and Early Weight Decay
AAAI 2021
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
AAAI 2021
A Cognitive Regularizer for Language Modeling
ACL 2021
Mutual Supervision for Dense Object Detection
ICCV 2021
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