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Loss Functions

1162 directly classified papers

Papers per year

Papers

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
Implicit Training of Inference Network Models for Structured Prediction UAI 2023
SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection ACL 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
Dual Focal Loss for Calibration ICML 2023
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection CVPR 2023
PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module ACL 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
FAIRER: Fairness as Decision Rationale Alignment ICML 2023
Smoothly Giving up: Robustness for Simple Models AISTATS 2023
Proper Losses for Discrete Generative Models ICML 2023
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training ICML 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice ICML 2023
Contrastive Learning and Reward Smoothing for Deep Portfolio Management IJCAI 2023
Weighted Von Mises Distribution-based Loss Function for Real-time STFT Phase Reconstruction Using DNN INTERSPEECH 2023
UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition NIPS 2023
Regression with Sensor Data Containing Incomplete Observations ICML 2023