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Neural Network Optimization

3648 directly classified papers

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Papers

Convergence of Adversarial Training in Overparametrized Neural Networks NIPS 2019
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation NIPS 2019
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions NIPS 2019
On the convergence of single-call stochastic extra-gradient methods NIPS 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent NIPS 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks NIPS 2019
Initialization of ReLUs for Dynamical Isometry NIPS 2019
Fine-grained Optimization of Deep Neural Networks NIPS 2019
Non-Autoregressive Machine Translation with Auxiliary Regularization AAAI 2019
Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification ICCV 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks NIPS 2019
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NIPS 2019
DATA: Differentiable ArchiTecture Approximation NIPS 2019
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection NIPS 2019
Show Your Work: Improved Reporting of Experimental Results EMNLP 2019
Splitting Steepest Descent for Growing Neural Architectures NIPS 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks NIPS 2019
Backprop with Approximate Activations for Memory-efficient Network Training NIPS 2019
Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks NIPS 2019
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks ICCV 2019
Fast and Practical Neural Architecture Search ICCV 2019
Continual and Multi-Task Architecture Search ACL 2019
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation ACL 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NIPS 2019
Neural Temporal-Difference Learning Converges to Global Optima NIPS 2019