Loss Functions

Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021 Learning from Complementary Labels via Partial-Output Consistency Regularization IJCAI 2021 Learning from Noisy Labels with Complementary Loss Functions AAAI 2021 Learning Generalized Intersection Over Union for Dense Pixelwise Prediction ICML 2021 Learning to Predict Trustworthiness with Steep Slope Loss NeurIPS 2021 Leveraged Weighted Loss for Partial Label Learning ICML 2021 LocalGAN: Modeling Local Distributions for Adversarial Response Generation JMLR 2021 Log-Likelihood-Ratio Cost Function as Objective Loss for Speaker Verification Systems Interspeech 2021 Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search ICLR 2021 Low-Delay Speech Enhancement Using Perceptually Motivated Target and Loss Interspeech 2021 Lower-Bounded Proper Losses for Weakly Supervised Classification ICML 2021 MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection SemEval 2021 Misclassification Risk and Uncertainty Quantification in Deep Classifiers WACV 2021 Mixed Cross Entropy Loss for Neural Machine Translation ICML 2021 Motion Forecasting with Unlikelihood Training in Continuous Space CoRL 2021 MTAdam: Automatic Balancing of Multiple Training Loss Terms EMNLP 2021 Multi-level Distance Regularization for Deep Metric Learning AAAI 2021 Multi-Loss Weighting With Coefficient of Variations WACV 2021 Mutual Supervision for Dense Object Detection ICCV 2021 Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification EMNLP 2021 On Biasing Transformer Attention Towards Monotonicity NAACL 2021 One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021 On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective CVPR 2021 On Learning Text Style Transfer with Direct Rewards NAACL 2021 On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer Interspeech 2021