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Optimization

1638 directly classified papers

Papers per year

Papers

Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models AISTATS 2018
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation ACL 2018
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks ICML 2018
Frank-Wolfe with Subsampling Oracle ICML 2018
A PID Controller Approach for Stochastic Optimization of Deep Networks CVPR 2018
Single-Channel Dereverberation Using Direct MMSE Optimization and Bidirectional LSTM Networks INTERSPEECH 2018
ADMM and Accelerated ADMM as Continuous Dynamical Systems ICML 2018
Data-Dependent Stability of Stochastic Gradient Descent ICML 2018
Scalable Dense Non-Rigid Structure-From-Motion: A Grassmannian Perspective CVPR 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari IJCAI 2018
Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network CVPR 2018
On the Relative Expressiveness of Bayesian and Neural Networks PGM 2018
Decorrelated Batch Normalization CVPR 2018
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing CVPR 2018
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning CVPR 2018
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling CVPR 2018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients ICML 2018
DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018
Exploring Recombination for Efficient Decoding of Neural Machine Translation EMNLP 2018
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation EMNLP 2018
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking CVPR 2018
Learning Globally Optimized Object Detector via Policy Gradient CVPR 2018
“Learning-Compression” Algorithms for Neural Net Pruning CVPR 2018
Boosting Adversarial Attacks With Momentum CVPR 2018
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018