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

Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent AAAI 2020
Channel Pruning Guided by Classification Loss and Feature Importance AAAI 2020
Training-Time-Friendly Network for Real-Time Object Detection AAAI 2020
VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract) AAAI 2020
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020
Fixed-Point Back-Propagation Training CVPR 2020
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference CVPR 2020
Alleviation of Gradient Exploding in GANs: Fake Can Be Real CVPR 2020
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks CVPR 2020
Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization CVPR 2020
Multi-Dimensional Pruning: A Unified Framework for Model Compression CVPR 2020
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation CVPR 2020
Controllable Orthogonalization in Training DNNs CVPR 2020
Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines CVPR 2020
On the Regularization Properties of Structured Dropout CVPR 2020
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization CVPR 2020
Butterfly Transform: An Efficient FFT Based Neural Architecture Design CVPR 2020
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio CVPR 2020
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis ICML 2020
Up or Down? Adaptive Rounding for Post-Training Quantization ICML 2020
Taylor Expansion Policy Optimization ICML 2020
Revisiting Representation Degeneration Problem in Language Modeling EMNLP 2020