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Neural Network Optimization

903 papers

Papers per year

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9
127
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Papers

Orthogonal Gradient Descent for Continual Learning AISTATS 2020
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks CVPR 2020
SGAS: Sequential Greedy Architecture Search CVPR 2020
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning CVPR 2020
ReSprop: Reuse Sparsified Backpropagation CVPR 2020
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing CVPR 2020
Towards Unified INT8 Training for Convolutional Neural Network CVPR 2020
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation CVPR 2020
Continual Learning With Extended Kronecker-Factored Approximate Curvature CVPR 2020
Augment Your Batch: Improving Generalization Through Instance Repetition CVPR 2020
Cogradient Descent for Bilinear Optimization CVPR 2020
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation CVPR 2020
Controllable Orthogonalization in Training DNNs CVPR 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020
Learning Dynamic Routing for Semantic Segmentation CVPR 2020
Learning to Optimize Non-Rigid Tracking CVPR 2020
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs CVPR 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives CVPR 2020
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization CVPR 2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks CVPR 2020
Filter Grafting for Deep Neural Networks CVPR 2020
An Investigation Into the Stochasticity of Batch Whitening CVPR 2020
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector CVPR 2020