Loss Functions
1,220 papers
Papers per year
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Papers
Low-Degree Multicalibration
COLT 2022
Maximizing Ensemble Diversity in Deep Reinforcement Learning
ICLR 2022
Mitigating Neural Network Overconfidence with Logit Normalization
ICML 2022
Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification
UAI 2022
Multi-class AUC Optimization for Robust Small-footprint Keyword Spotting with Limited Training Data
Interspeech 2022
Multi-class Classification from Multiple Unlabeled
Datasets with Partial Risk Regularization
ACML 2022
Nearly Optimal Catoni’s M-estimator for Infinite Variance
ICML 2022
Neuro-symbolic entropy regularization
UAI 2022
Noisy Label Regularisation for Textual Regression
COLING 2022
Novel Ensemble Diversification Methods for Open-Set Scenarios
WACV 2022
On the Consistency of Max-Margin Losses
AISTATS 2022
On the detrimental effect of invariances in the likelihood for variational inference
NeurIPS 2022
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
NeurIPS 2022
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
ICLR 2022
On the Surrogate Gap between Contrastive and Supervised Losses
ICML 2022
Optimization of Deep Neural Network (DNN) Speech Coder Using a Multi Time Scale Perceptual Loss Function
Interspeech 2022
Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision Constraint
AISTATS 2022
PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions
SemEval 2022
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks
NeurIPS 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning
ICML 2022
Perceptual Consistency in Video Segmentation
WACV 2022
Phenomenology of Double Descent in Finite-Width Neural Networks
ICLR 2022
PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning
SemEval 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
NeurIPS 2022
Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers
ACL 2022