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Model Compression

1503 directly classified papers

Papers per year

Papers

Analyzing Redundancy in Pretrained Transformer Models EMNLP 2020
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation EMNLP 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020
On-device Structured and Context Partitioned Projection Networks ACL 2019
Normalization Helps Training of Quantized LSTM NIPS 2019
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization NIPS 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks NIPS 2019
CondConv: Conditionally Parameterized Convolutions for Efficient Inference NIPS 2019
Double Quantization for Communication-Efficient Distributed Optimization NIPS 2019
Knowledge Extraction with No Observable Data NIPS 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NIPS 2019
Overcoming Multi-model Forgetting ICML 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019
On the Downstream Performance of Compressed Word Embeddings NIPS 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers NIPS 2019
Unifying Heterogeneous Classifiers With Distillation CVPR 2019
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification CVPR 2019
Quantization Networks CVPR 2019
Fully Learnable Group Convolution for Acceleration of Deep Neural Networks CVPR 2019
Structured Pruning of Neural Networks With Budget-Aware Regularization CVPR 2019
MonoForest framework for tree ensemble analysis NIPS 2019
C3AE: Exploring the Limits of Compact Model for Age Estimation CVPR 2019
Importance Estimation for Neural Network Pruning CVPR 2019
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019
Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019