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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

Intensity Correction and Standardization for Electron Microscopy Data MIDL 2021
Knowledge Evolution in Neural Networks CVPR 2021
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse AAAI 2021
An Empirical Study of Training Self-Supervised Vision Transformers ICCV 2021
Structural Credit Assignment in Neural Networks using Reinforcement Learning NIPS 2021
Faster Neural Network Training with Approximate Tensor Operations NIPS 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021
Modeling the Interaction Between Perception-Based and Production-Based Learning in Children’s Early Acquisition of Semantic Knowledge EMNLP 2021
The Energy and Carbon Footprint of Training End-to-End Speech Recognizers INTERSPEECH 2021
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks ICML 2021
Credit Assignment Through Broadcasting a Global Error Vector NIPS 2021
Training Neural Networks is ER-complete NIPS 2021
Adaptive Proximal Gradient Methods for Structured Neural Networks NIPS 2021
Introduction to Machine Learning with Robots and Playful Learning AAAI 2021
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay NIPS 2021
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives NIPS 2021
MTAdam: Automatic Balancing of Multiple Training Loss Terms EMNLP 2021
Distributed Deep Learning In Open Collaborations NIPS 2021
Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient AAAI 2021
Learning with Retrospection AAAI 2021
Exponential Graph is Provably Efficient for Decentralized Deep Training NIPS 2021
Knodle: Modular Weakly Supervised Learning with PyTorch IJCNLP 2021
Long Short-Term Sample Distillation AAAI 2020
On the Convergence of SARAH and Beyond AISTATS 2020