Loss Functions
1,220 papers
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Papers
Neuron-level Structured Pruning using Polarization Regularizer
NeurIPS 2020
Normalized Loss Functions for Deep Learning with Noisy Labels
ICML 2020
Obtaining Adjustable Regularization for Free via Iterate Averaging
ICML 2020
On Long-Tailed Phenomena in Neural Machine Translation
EMNLP 2020
On Losses for Modern Language Models
EMNLP 2020
On Parameter Adaptation in Softmax-Based Cross-Entropy Loss for Improved Convergence Speed and Accuracy in DNN-Based Speaker Recognition
Interspeech 2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
AAAI 2020
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains
AAAI 2020
Parameterized Rate-Distortion Stochastic Encoder
ICML 2020
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
ICML 2020
Photon: A Robust Cross-Domain Text-to-SQL System
ACL 2020
Piecewise linear activations substantially shape the loss surfaces of neural networks
ICLR 2020
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss
Interspeech 2020
Posterior Calibrated Training on Sentence Classification Tasks
ACL 2020
Prime Sample Attention in Object Detection
CVPR 2020
Proxy Anchor Loss for Deep Metric Learning
CVPR 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting
EMNLP 2020
Regularization via Structural Label Smoothing
AISTATS 2020
Regularizing activations in neural networks via distribution matching with the Wasserstein metric
ICLR 2020
Regularizing Class-Wise Predictions via Self-Knowledge Distillation
CVPR 2020
Regularizing CNN Transfer Learning With Randomised Regression
CVPR 2020
Rescuing neural spike train models from bad MLE
NeurIPS 2020
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
ICLR 2020
Revisiting Knowledge Distillation via Label Smoothing Regularization
CVPR 2020
Re-Weighted Interval Loss for Handling Data Imbalance Problem of End-to-End Keyword Spotting
Interspeech 2020