Neural Network Optimization
1,004 papers
Papers per year
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1
2
1
3
5
2
13
16
20
33
78
132
115
124
118
197
123
20
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Papers
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise
AISTATS 2020
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs
CVPR 2020
An Investigation Into the Stochasticity of Batch Whitening
CVPR 2020
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints
CVPR 2020
Architecture Search of Dynamic Cells for Semantic Video Segmentation
WACV 2020
Attentive Pooling with Learnable Norms for Text Representation
ACL 2020
Augment Your Batch: Improving Generalization Through Instance Repetition
CVPR 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
ICML 2020
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture
AAAI 2020
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method
NeurIPS 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
AAAI 2020
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector
CVPR 2020
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks
AAAI 2020
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation
CVPR 2020
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
CVPR 2020
Channel Pruning Guided by Classification Loss and Feature Importance
AAAI 2020
Cogradient Descent for Bilinear Optimization
CVPR 2020
Confidence-Aware Learning for Deep Neural Networks
ICML 2020
Continual Learning With Extended Kronecker-Factored Approximate Curvature
CVPR 2020
Controllable Orthogonalization in Training DNNs
CVPR 2020
Curriculum Learning by Dynamic Instance Hardness
NeurIPS 2020
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks
AAAI 2020
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
NeurIPS 2020
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution
AAAI 2020
Densely Connected Search Space for More Flexible Neural Architecture Search
CVPR 2020