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neural network training

309 papers

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Also known as

DNN NNT

Co-occurring keywords

neural network (6616) neural network optimization (1293) stochastic gradient descent (1088) gradient descent (1143) model compression (3283) deep neural network (1801) stochastic optimization (1060) deep learning (2111) batch normalization (222) non-convex optimization (546)

Papers

Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization ICML 2020
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks ICML 2020
Adaptive Convolutional ReLUs AAAI 2020
Stochastic Loss Function AAAI 2020
Distributed Stochastic Gradient Descent with Event-Triggered Communication AAAI 2020
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract) AAAI 2020
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training AISTATS 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
On the Regularization Properties of Structured Dropout CVPR 2020
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics NIPS 2020
Decoupled Greedy Learning of CNNs ICML 2020
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion ICML 2020
Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer IJCAI 2020
Deep F-Measure Maximization for End-to-End Speech Understanding INTERSPEECH 2020
Learning to Generate 3D Training Data Through Hybrid Gradient CVPR 2020
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts NIPS 2020
Coded Sequential Matrix Multiplication For Straggler Mitigation NIPS 2020
Curriculum Learning by Dynamic Instance Hardness NIPS 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking NIPS 2020
On Warm-Starting Neural Network Training NIPS 2020
The HSIC Bottleneck: Deep Learning without Back-Propagation AAAI 2020
Region Normalization for Image Inpainting AAAI 2020
NeuReduce: Reducing Mixed Boolean-Arithmetic Expressions by Recurrent Neural Network EMNLP 2020
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NIPS 2020
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification NIPS 2020