Loss Functions

von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning ICCV 2021 Why Do Better Loss Functions Lead to Less Transferable Features? NeurIPS 2021 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks AAAI 2020 A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences Interspeech 2020 Adversarial Lipschitz Regularization ICLR 2020 Agnostic Learning with Multiple Objectives NeurIPS 2020 Aligned Cross Entropy for Non-Autoregressive Machine Translation ICML 2020 All your loss are belong to Bayes NeurIPS 2020 An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay NeurIPS 2020 A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection NeurIPS 2020 Attribute Noise Robust Binary Classification (Student Abstract) AAAI 2020 Augmenting NLP models using Latent Feature Interpolations COLING 2020 AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses AAAI 2020 Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives MIDL 2020 Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020 Calibrating Deep Neural Networks using Focal Loss NeurIPS 2020 Can Cross Entropy Loss Be Robust to Label Noise? IJCAI 2020 Cascading Convolutional Color Constancy AAAI 2020 CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation ACL 2020 Circle Loss: A Unified Perspective of Pair Similarity Optimization CVPR 2020 Class-Weighted Classification: Trade-offs and Robust Approaches ICML 2020 Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization CVPR 2020 Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images MIDL 2020 Confidence-Aware Learning for Deep Neural Networks ICML 2020 Confidence Measure for Speech-to-Concept End-to-End Spoken Language Understanding Interspeech 2020