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Model Compression

1,952 papers

Papers per year

6
114
489
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Papers

Winning the Lottery with Continuous Sparsification NIPS 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NIPS 2020
Lipschitz-Certifiable Training with a Tight Outer Bound NIPS 2020
Pruning Filter in Filter NIPS 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks NIPS 2020
HYDRA: Pruning Adversarially Robust Neural Networks NIPS 2020
A Study on Encodings for Neural Architecture Search NIPS 2020
Movement Pruning: Adaptive Sparsity by Fine-Tuning NIPS 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot NIPS 2020
Position-based Scaled Gradient for Model Quantization and Pruning NIPS 2020
Model Fusion via Optimal Transport NIPS 2020
Passport-aware Normalization for Deep Model Protection NIPS 2020
Protecting Geolocation Privacy of Photo Collections AAAI 2020
Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020
InstaNAS: Instance-Aware Neural Architecture Search AAAI 2020
RTN: Reparameterized Ternary Network AAAI 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020
Light Multi-Segment Activation for Model Compression AAAI 2020
Channel Pruning Guided by Classification Loss and Feature Importance AAAI 2020
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning AAAI 2020
Sparsity-Inducing Binarized Neural Networks AAAI 2020
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time ACL 2020
Balancing Cost and Benefit with Tied-Multi Transformers ACL 2020