Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
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
Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models
ACL 2023
Patch-Level Gaze Distribution Prediction for Gaze Following
WACV 2023
On the Dynamics Under the Unhinged Loss and Beyond
JMLR 2023
What Can We Learn by Predicting Accuracy?
WACV 2023
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs
WACV 2023
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
ACL 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration
ICML 2023
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier
WACV 2023
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
ACL 2023
On Regularization and Inference with Label Constraints
ICML 2023
Implicit Jacobian regularization weighted with impurity of probability output
ICML 2023
On Tilted Losses in Machine Learning: Theory and Applications
JMLR 2023
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
ICML 2023
Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification
JMLR 2023
Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration
ACL 2023
Chride at SemEval-2023 Task 10: Fine-tuned Deberta-V3 on Detection of Online Sexism with Hierarchical Loss
SEMEVAL 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
ICML 2023
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
ICML 2023
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration
AAAI 2023
Dual Focal Loss for Calibration
ICML 2023
On the inconsistency of separable losses for structured prediction
EACL 2023
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
NIPS 2023
Spurious Valleys and Clustering Behavior of Neural Networks
ICML 2023
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
ICML 2023
Optimal Strategies for Reject Option Classifiers
JMLR 2023
<
1
…
13
14
15
…
47
>