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Loss Functions

1162 directly classified papers

Papers per year

Papers

Differentiable Top-k Classification Learning ICML 2022
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection CVPR 2022
C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022
Agnostic Learnability of Halfspaces via Logistic Loss ICML 2022
Active Boundary Loss for Semantic Segmentation AAAI 2022
Loss Function Learning for Domain Generalization by Implicit Gradient ICML 2022
AdaFocal: Calibration-aware Adaptive Focal Loss NIPS 2022
YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic SEMEVAL 2022
Polygon-to-Polygon Distance Loss for Rotated Object Detection AAAI 2022
Towards Consistency in Adversarial Classification NIPS 2022
Perceptual Consistency in Video Segmentation WACV 2022
Low-Degree Multicalibration COLT 2022
Novel Ensemble Diversification Methods for Open-Set Scenarios WACV 2022
Label noise (stochastic) gradient descent implicitly solves the Lasso for quadratic parametrisation COLT 2022
Enhancing Classifier Conservativeness and Robustness by Polynomiality CVPR 2022
Calibrating Deep Neural Networks by Pairwise Constraints CVPR 2022
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks CVPR 2022
Learnable Adaptive Cosine Estimator (LACE) for Image Classification WACV 2022
Learning sparse representations of preferences within Choquet expected utility theory UAI 2022
Neuro-symbolic entropy regularization UAI 2022
AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification CVPR 2022
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias IJCAI 2022
The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration CVPR 2022
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons ACML 2022
AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks CVPR 2022