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Methodology
← Optimization & Theory
Deep Learning
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Optimization & Theory
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Neural Network Optimization
902 directly classified papers
Papers per year
2007: 1
2009: 1
2010: 2
2011: 1
2012: 3
2013: 4
2014: 1
2015: 9
2016: 14
2017: 20
2018: 30
2019: 66
2020: 127
2021: 106
2022: 117
2023: 106
2024: 190
2025: 100
2026: 4
Papers
Towards Unified INT8 Training for Convolutional Neural Network
CVPR 2020
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning
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
Augment Your Batch: Improving Generalization Through Instance Repetition
CVPR 2020
Controllable Orthogonalization in Training DNNs
CVPR 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy
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
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector
CVPR 2020
Rethinking Performance Estimation in Neural Architecture Search
CVPR 2020
EcoNAS: Finding Proxies for Economical Neural Architecture Search
CVPR 2020
DSNAS: Direct Neural Architecture Search Without Parameter Retraining
CVPR 2020
Densely Connected Search Space for More Flexible Neural Architecture Search
CVPR 2020
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
CVPR 2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
CVPR 2020
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints
CVPR 2020
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
CVPR 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
CVPR 2020
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition
CVPR 2020
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
CVPR 2020
Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract)
AAAI 2020
Quantization Aware Training with Absolute-Cosine Regularization for Automatic Speech Recognition
INTERSPEECH 2020
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