conftrace_

loss function

462 papers

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Co-occurring keywords

neural network (6616) deep neural network (1803) object detection (2762) neural network optimization (1293) class imbalance (555) convolutional neural network (4226) semantic segmentation (3186) multi-label classification (1009) deep learning (2118) gradient descent (1144)

Papers

A More Accurate Internal Language Model Score Estimation for the Hybrid Autoregressive Transducer INTERSPEECH 2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation NIPS 2023
Optimal Sketching Bounds for Sparse Linear Regression AISTATS 2023
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks CVPR 2023
Two-Way Multi-Label Loss CVPR 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks ICCV 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration ICCV 2023
Implicit variance regularization in non-contrastive SSL NIPS 2023
UniFace: Unified Cross-Entropy Loss for Deep Face Recognition ICCV 2023
Weighted Von Mises Distribution-based Loss Function for Real-time STFT Phase Reconstruction Using DNN INTERSPEECH 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels NIPS 2023
Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification JMLR 2023
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection CVPR 2023
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild AAAI 2023
Active Negative Loss Functions for Learning with Noisy Labels NIPS 2023
On the inconsistency of separable losses for structured prediction EACL 2023
Chride at SemEval-2023 Task 10: Fine-tuned Deberta-V3 on Detection of Online Sexism with Hierarchical Loss SEMEVAL 2023
Achievement-Based Training Progress Balancing for Multi-Task Learning ICCV 2023
TCE: A Test-Based Approach to Measuring Calibration Error UAI 2023
Consistent Complementary-Label Learning via Order-Preserving Losses AISTATS 2023
Curriculum Temperature for Knowledge Distillation AAAI 2023
What Can We Learn by Predicting Accuracy? WACV 2023
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023
Distortion and Uncertainty Aware Loss for Panoramic Depth Completion ICML 2023
Correlation Loss: Enforcing Correlation between Classification and Localization AAAI 2023