conftrace_

neural network optimization

1293 papers

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Co-occurring keywords

model compression (3302) neural network (6616) convolutional neural network (4226) gradient descent (1144) stochastic gradient descent (1091) efficient computing (781) deep neural network (1803) large language model (13587) knowledge distillation (3725) representation learning (6206)

Papers

Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019
ScratchDet: Training Single-Shot Object Detectors From Scratch CVPR 2019
Making Asynchronous Stochastic Gradient Descent Work for Transformers EMNLP 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks CVPR 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019
Learning Deep Transformer Models for Machine Translation ACL 2019
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression AAAI 2019
DiffChaser: Detecting Disagreements for Deep Neural Networks IJCAI 2019
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention IJCNLP 2019
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019
Super Sparse Convolutional Neural Networks AAAI 2019
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019
Two Tiered Distributed Training Algorithm for Acoustic Modeling INTERSPEECH 2019
An Improved Analysis of Training Over-parameterized Deep Neural Networks NIPS 2019
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise NIPS 2019
On Lazy Training in Differentiable Programming NIPS 2019
Acoustic Model Optimization Based on Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition INTERSPEECH 2019
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning INTERSPEECH 2019
Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks ICCV 2019
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks ICCV 2019
Adversarial Robustness vs. Model Compression, or Both? ICCV 2019
A Tour of Convolutional Networks Guided by Linear Interpreters ICCV 2019
Digging Into Self-Supervised Monocular Depth Estimation ICCV 2019
On the Efficacy of Knowledge Distillation ICCV 2019
BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019