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Loss Functions

1162 directly classified papers

Papers per year

Papers

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
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks CVPR 2023
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice ICML 2023
Regression with Sensor Data Containing Incomplete Observations ICML 2023
Local and Global Logit Adjustments for Long-Tailed Learning ICCV 2023
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023
Cut your Losses with Squentropy ICML 2023
Class Adaptive Network Calibration CVPR 2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification ICML 2023
Balanced Energy Regularization Loss for Out-of-Distribution Detection CVPR 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning NIPS 2023
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm CVPR 2023
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon ICML 2023
Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection CVPR 2023
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision CVPR 2023
Focal Training and Tagger Decouple for Grammatical Error Correction ACL 2023
Ada$^2$NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning ACML 2023
Domain Generalization via Rationale Invariance ICCV 2023
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation CVPR 2023
Look-back Decoding for Open-Ended Text Generation EMNLP 2023
Contrastive Learning and Reward Smoothing for Deep Portfolio Management IJCAI 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels NIPS 2023
Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy? EMNLP 2023