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

Learning Active Contour Models for Medical Image Segmentation CVPR 2019
Complementary-Label Learning for Arbitrary Losses and Models ICML 2019
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition AAAI 2019
The Level Weighted Structural Similarity Loss: A Step Away from MSE AAAI 2019
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer AAAI 2019
Focus Is All You Need: Loss Functions for Event-Based Vision CVPR 2019
Supervised User Ranking in Signed Social Networks AAAI 2019
A General and Adaptive Robust Loss Function CVPR 2019
Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation ICCV 2019
Deep Speaker Embedding Extraction with Channel-Wise Feature Responses and Additive Supervision Softmax Loss Function INTERSPEECH 2019
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning CVPR 2019
Aggregation Cross-Entropy for Sequence Recognition CVPR 2019
A Strong and Robust Baseline for Text-Image Matching ACL 2019
VoiceID Loss: Speech Enhancement for Speaker Verification INTERSPEECH 2019
Topology-Preserving Deep Image Segmentation NIPS 2019
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification ACML 2019
Toward a Characterization of Loss Functions for Distribution Learning NIPS 2019
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation ICCV 2019
Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty ICCV 2019
Optimizing the F-Measure for Threshold-Free Salient Object Detection ICCV 2019
CFSNet: Toward a Controllable Feature Space for Image Restoration ICCV 2019
On Single Source Robustness in Deep Fusion Models NIPS 2019
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing ICML 2019
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise NIPS 2019