Optimization
1,960 papers
Papers per year
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2
4
2
3
4
8
25
19
28
34
44
82
125
160
195
201
234
394
302
89
'10
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Papers
Fast Texture Synthesis via Pseudo Optimizer
CVPR 2020
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
AISTATS 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching
ICML 2020
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
ICML 2020
Finding the Optimal Vocabulary Size for Neural Machine Translation
EMNLP 2020
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
AAAI 2020
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
CVPR 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
ICML 2020
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
AISTATS 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
CVPR 2020
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
ICML 2020
Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines
CVPR 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
NeurIPS 2020
Hierarchically Robust Representation Learning
CVPR 2020
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface
AAAI 2020
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
ICML 2020
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
NeurIPS 2020
ILFO: Adversarial Attack on Adaptive Neural Networks
CVPR 2020
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process
COLT 2020
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation
EMNLP 2020
Inefficiency of K-FAC for Large Batch Size Training
AAAI 2020
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
AAAI 2020
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
NeurIPS 2020
Intelligent Image Collection: Building the Optimal Dataset
WACV 2020
Joint Texture and Geometry Optimization for RGB-D Reconstruction
CVPR 2020