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Loss Functions

1162 directly classified papers

Papers per year

Papers

A Consistent and Differentiable Lp Canonical Calibration Error Estimator NIPS 2022
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons ACML 2022
Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization ACML 2022
SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information CVPR 2022
Novel Ensemble Diversification Methods for Open-Set Scenarios WACV 2022
Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers NIPS 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NIPS 2022
Ahmed and Khalil at NADI 2022: Transfer Learning and Addressing Class Imbalance for Arabic Dialect Identification and Sentiment Analysis EMNLP 2022
AdaFocal: Calibration-aware Adaptive Focal Loss NIPS 2022
Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers ACL 2022
Towards Consistency in Adversarial Classification NIPS 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective NIPS 2022
Adjusting the Precision-Recall Trade-Off with Align-and-Predict Decoding for Grammatical Error Correction ACL 2022
Adaptive Weighted Discriminator for Training Generative Adversarial Networks CVPR 2021
Training Over-parameterized Models with Non-decomposable Objectives NIPS 2021
Multi-level Distance Regularization for Deep Metric Learning AAAI 2021
Diversifying Dialog Generation via Adaptive Label Smoothing ACL 2021
Why Do Better Loss Functions Lead to Less Transferable Features? NIPS 2021
Learning to Predict Trustworthiness with Steep Slope Loss NIPS 2021
GAN Vocoder: Multi-Resolution Discriminator Is All You Need INTERSPEECH 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NIPS 2021
Rank & Sort Loss for Object Detection and Instance Segmentation ICCV 2021
Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification EMNLP 2021
Error-Sensitive Evaluation for Ordinal Target Variables EMNLP 2021
Log-Likelihood-Ratio Cost Function as Objective Loss for Speaker Verification Systems INTERSPEECH 2021