Model Compression
1,896 papers
Papers per year
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2
7
10
28
56
85
201
187
223
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348
437
83
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Papers
Finding trainable sparse networks through Neural Tangent Transfer
ICML 2020
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression
ACML 2020
Forward and Backward Information Retention for Accurate Binary Neural Networks
CVPR 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
AAAI 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
NeurIPS 2020
Frequency Domain Compact 3D Convolutional Neural Networks
CVPR 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
CVPR 2020
GhostNet: More Features From Cheap Operations
CVPR 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
ICML 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
CVPR 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks
AAAI 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
NeurIPS 2020
Heterogeneous Knowledge Distillation Using Information Flow Modeling
CVPR 2020
Hierarchical Knowledge Squeezed Adversarial Network Compression
AAAI 2020
High Performance Natural Language Processing
EMNLP 2020
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface
AAAI 2020
HRank: Filter Pruning Using High-Rank Feature Map
CVPR 2020
Improved Knowledge Distillation via Teacher Assistant
AAAI 2020
Incremental Multi-Domain Learning with Network Latent Tensor Factorization
AAAI 2020
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning
AAAI 2020
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
AAAI 2020
InstaNAS: Instance-Aware Neural Architecture Search
AAAI 2020
Inter-Region Affinity Distillation for Road Marking Segmentation
CVPR 2020
Iterative Compression of End-to-End ASR Model Using AutoML
Interspeech 2020
Kernel Based Progressive Distillation for Adder Neural Networks
NeurIPS 2020