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Model Compression

1674 directly classified papers

Papers per year

Papers

Pruning from Scratch AAAI 2020
Sparsity-Inducing Binarized Neural Networks AAAI 2020
Efficient Residual Dense Block Search for Image Super-Resolution AAAI 2020
Hierarchical Knowledge Squeezed Adversarial Network Compression AAAI 2020
Channel Pruning Guided by Classification Loss and Feature Importance AAAI 2020
Binarized Neural Architecture Search AAAI 2020
Incremental Multi-Domain Learning with Network Latent Tensor Factorization AAAI 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020
AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture AAAI 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks AAAI 2020
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data AAAI 2020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NIPS 2020
SCOP: Scientific Control for Reliable Neural Network Pruning NIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NIPS 2020
Winning the Lottery with Continuous Sparsification NIPS 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NIPS 2020
Kernel Based Progressive Distillation for Adder Neural Networks NIPS 2020
Calibrating CNNs for Lifelong Learning NIPS 2020
Sparse Weight Activation Training NIPS 2020
Pruning Filter in Filter NIPS 2020
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search NIPS 2020
Super Sparse Convolutional Neural Networks AAAI 2019
Network Recasting: A Universal Method for Network Architecture Transformation AAAI 2019
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression AAAI 2019
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval AAAI 2019