cross-entropy loss

From Label Smoothing to Label Relaxation AAAI 2021 Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning NeurIPS 2021 Gradient Starvation: A Learning Proclivity in Neural Networks NeurIPS 2021 Learning with Instance Bundles for Reading Comprehension EMNLP 2021 Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries ICML 2021 Mixed Cross Entropy Loss for Neural Machine Translation ICML 2021 On Success and Simplicity: A Second Look at Transferable Targeted Attacks NeurIPS 2021 On the distribution of penultimate activations of classification networks UAI 2021 Orthogonal Projection Loss ICCV 2021 Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training NeurIPS 2021 Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU ICCV 2021 Self-Supervised Curriculum Learning for Spelling Error Correction EMNLP 2021 Soft Calibration Objectives for Neural Networks NeurIPS 2021 Structured Denoising Diffusion Models in Discrete State-Spaces NeurIPS 2021 Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning ICLR 2021 Tilting the playing field: Dynamical loss functions for machine learning ICML 2021 Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective NeurIPS 2021 Transferable Semantic Augmentation for Domain Adaptation CVPR 2021 TTCB System Description to a Shared Task on Implicit and Underspecified Language 2021 ACL 2021 A Baseline for Few-Shot Image Classification ICLR 2020 Aligned Cross Entropy for Non-Autoregressive Machine Translation ICML 2020 An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos AAAI 2020 Calibrating Deep Neural Networks using Focal Loss NeurIPS 2020 Can Cross Entropy Loss Be Robust to Label Noise? IJCAI 2020 Can gradient clipping mitigate label noise? ICLR 2020