loss function

Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions ICML 2021 Prevent the Language Model from being Overconfident in Neural Machine Translation ACL 2021 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021 Rank & Sort Loss for Object Detection and Instance Segmentation ICCV 2021 Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss ICML 2021 Searching for Robustness: Loss Learning for Noisy Classification Tasks ICCV 2021 Searching Parameterized AP Loss for Object Detection NeurIPS 2021 Seesaw Loss for Long-Tailed Instance Segmentation CVPR 2021 Shape From Semantic Segmentation via the Geometric Renyi Divergence WACV 2021 Simpson's Bias in NLP Training AAAI 2021 Smoothing and Shrinking the Sparse Seq2Seq Search Space NAACL 2021 Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021 The ensmallen library for flexible numerical optimization JMLR 2021 TTCB System Description to a Shared Task on Implicit and Underspecified Language 2021 ACL 2021 Uncertainty-Driven Loss for Single Image Super-Resolution NeurIPS 2021 Understanding and Simplifying Perceptual Distances CVPR 2021 VarifocalNet: An IoU-Aware Dense Object Detector CVPR 2021 When Are Solutions Connected in Deep Networks? NeurIPS 2021 Why Do Better Loss Functions Lead to Less Transferable Features? NeurIPS 2021 A Context-Aware Loss Function for Action Spotting in Soccer Videos CVPR 2020 Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020 A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings JMLR 2020 A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model 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