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Model Compression

1,718 papers

Papers per year

2
4
128
453
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Papers

DENSE: Data-Free One-Shot Federated Learning NIPS 2022
Deep Model Reassembly NIPS 2022
Is Integer Arithmetic Enough for Deep Learning Training? NIPS 2022
Sparse Probabilistic Circuits via Pruning and Growing NIPS 2022
Differentially Private Model Compression NIPS 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NIPS 2022
Accelerating Sparse Convolution with Column Vector-Wise Sparsity NIPS 2022
Get More at Once: Alternating Sparse Training with Gradient Correction NIPS 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization NIPS 2022
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation NIPS 2022
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NIPS 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm NIPS 2022
Random Normalization Aggregation for Adversarial Defense NIPS 2022
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model NIPS 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks NIPS 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance NIPS 2022
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise NIPS 2022
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training NIPS 2022
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning AAAI 2022
Towards Light-Weight and Real-Time Line Segment Detection AAAI 2022
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition AAAI 2022
Elastic-Link for Binarized Neural Networks AAAI 2022
Defending against Model Stealing via Verifying Embedded External Features AAAI 2022
Equal Bits: Enforcing Equally Distributed Binary Network Weights AAAI 2022
Safe Distillation Box AAAI 2022