Optimization
17,731 papers
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Papers
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
ICLR 2019
Gradient Harmonized Single-Stage Detector
AAAI 2019
Graph Reduction with Spectral and Cut Guarantees
JMLR 2019
Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros
AISTATS 2019
Greedy Layerwise Learning Can Scale To ImageNet
ICML 2019
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints
AAAI 2019
Greedy Sampling for Approximate Clustering in the Presence of Outliers
NeurIPS 2019
Guaranteed Matrix Completion Under Multiple Linear Transformations
CVPR 2019
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
ICCV 2019
Guided evolutionary strategies: augmenting random search with surrogate gradients
ICML 2019
HAD-Tübingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization
SemEval 2019
Hamiltonian descent for composite objectives
NeurIPS 2019
Harmonic Beamformers for Non-Intrusive Speech Intelligibility Prediction
Interspeech 2019
Heavy-ball Algorithms Always Escape Saddle Points
IJCAI 2019
Heuristic Authorship Obfuscation
ACL 2019
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction
IJCAI 2019
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost
ICCV 2019
Hierarchical Optimal Transport for Multimodal Distribution Alignment
NeurIPS 2019
High-Dimensional Optimization in Adaptive Random Subspaces
NeurIPS 2019
Hint-Based Training for Non-Autoregressive Machine Translation
EMNLP 2019
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching
ICCV 2019
HMLasso: Lasso with High Missing Rate
IJCAI 2019
How degenerate is the parametrization of neural networks with the ReLU activation function?
NeurIPS 2019
How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?
AAAI 2019
How Hard Is the Manipulative Design of Scoring Systems?
IJCAI 2019