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Optimization

1638 directly classified papers

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Papers

Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
Distributed Stochastic Gradient Descent with Event-Triggered Communication AAAI 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks ICML 2020
The EOS Decision and Length Extrapolation EMNLP 2020
Finding the Optimal Vocabulary Size for Neural Machine Translation EMNLP 2020
Self-Paced Learning for Neural Machine Translation EMNLP 2020
Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020
Sparsity-Inducing Binarized Neural Networks AAAI 2020
Pruning from Scratch AAAI 2020
Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract) AAAI 2020
Bounding the expected run-time of nonconvex optimization with early stopping UAI 2020
Hierarchically Robust Representation Learning CVPR 2020
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization CVPR 2020
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees L4DC 2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm L4DC 2020
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020
ScopeFlow: Dynamic Scene Scoping for Optical Flow CVPR 2020
An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario AACL 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression CVPR 2020
An Investigation Into the Stochasticity of Batch Whitening CVPR 2020
KungFu: Making Training in Distributed Machine Learning Adaptive OSDI 2020
A Tensor Compiler for Unified Machine Learning Prediction Serving OSDI 2020
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks OSDI 2020