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Loss Functions

1162 directly classified papers

Papers per year

Papers

RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023
On the choice of Perception Loss Function for Learned Video Compression NIPS 2023
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023
UniFace: Unified Cross-Entropy Loss for Deep Face Recognition ICCV 2023
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse IJCAI 2023
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection CVPR 2023
Order-preserving Consistency Regularization for Domain Adaptation and Generalization ICCV 2023
Domain Generalization via Rationale Invariance ICCV 2023
NeRF-MS: Neural Radiance Fields with Multi-Sequence ICCV 2023
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union NIPS 2023
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization IJCAI 2023
A step towards understanding why classification helps regression ICCV 2023
Look-back Decoding for Open-Ended Text Generation EMNLP 2023
SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection ACL 2023
What Can We Learn by Predicting Accuracy? WACV 2023
Contrastive Learning and Reward Smoothing for Deep Portfolio Management IJCAI 2023
Model Calibration in Dense Classification with Adaptive Label Perturbation ICCV 2023
SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation SEMEVAL 2023
Knowledge Intensive Learning of Cutset Networks UAI 2023
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields ICCV 2023
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation CVPR 2023
Improving Robustness with Adaptive Weight Decay NIPS 2023
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? ICML 2022
Being Properly Improper ICML 2022