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

When Are Solutions Connected in Deep Networks? NIPS 2021
Hessian Eigenspectra of More Realistic Nonlinear Models NIPS 2021
Leveraged Weighted Loss for Partial Label Learning ICML 2021
On UMAP's True Loss Function NIPS 2021
The ensmallen library for flexible numerical optimization JMLR 2021
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation ICML 2021
Instance-adaptive training with noise-robust losses against noisy labels EMNLP 2021
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution EMNLP 2021
Smoothing and Shrinking the Sparse Seq2Seq Search Space NAACL 2021
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions AAAI 2021
Lower-Bounded Proper Losses for Weakly Supervised Classification ICML 2021
Layer-Wise Searching for 1-Bit Detectors CVPR 2021
MTAdam: Automatic Balancing of Multiple Training Loss Terms EMNLP 2021
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation AAAI 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions ICML 2021
Deep Low-Contrast Image Enhancement using Structure Tensor Representation AAAI 2021
Shape From Semantic Segmentation via the Geometric Renyi Divergence WACV 2021
Disentangled Contour Learning for Quadrilateral Text Detection WACV 2021
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities IJCAI 2021
Searching Parameterized AP Loss for Object Detection NIPS 2021
Addressing Class Imbalance in Federated Learning AAAI 2021
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression NIPS 2021
Data Augmentation for Text Generation Without Any Augmented Data IJCNLP 2021
Rank & Sort Loss for Object Detection and Instance Segmentation ICCV 2021
A Second-Order Approach to Learning With Instance-Dependent Label Noise CVPR 2021