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Model Compression

1928 directly classified papers

Papers per year

Papers

Playing Atari with Six Neurons (Extended Abstract) IJCAI 2020
On the Sparsity of Neural Machine Translation Models EMNLP 2020
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers EMNLP 2020
Bayesian Sparsification of Deep C-valued Networks ICML 2020
Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach CVPR 2020
Heterogeneous Knowledge Distillation Using Information Flow Modeling CVPR 2020
Multi-Dimensional Pruning: A Unified Framework for Model Compression CVPR 2020
T-Basis: a Compact Representation for Neural Networks ICML 2020
InstaNAS: Instance-Aware Neural Architecture Search AAAI 2020
DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020
HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization CVPR 2020
PENNI: Pruned Kernel Sharing for Efficient CNN Inference ICML 2020
GhostNet: More Features From Cheap Operations CVPR 2020
Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020
Forward and Backward Information Retention for Accurate Binary Neural Networks CVPR 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020
Variational Bayesian Quantization ICML 2020
BiDet: An Efficient Binarized Object Detector CVPR 2020
AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020
Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020
The Knowledge Within: Methods for Data-Free Model Compression CVPR 2020