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Model Compression

1,718 papers

Papers per year

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128
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Papers

FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NIPS 2021
Demystifying and Generalizing BinaryConnect NIPS 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation NIPS 2021
Channel Permutations for N:M Sparsity NIPS 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification NIPS 2021
Instance-Conditional Knowledge Distillation for Object Detection NIPS 2021
Post-Training Sparsity-Aware Quantization NIPS 2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NIPS 2021
Only Train Once: A One-Shot Neural Network Training And Pruning Framework NIPS 2021
Boost Neural Networks by Checkpoints NIPS 2021
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks NIPS 2021
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NIPS 2021
Training Neural Networks with Fixed Sparse Masks NIPS 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks NIPS 2021
Learning Frequency Domain Approximation for Binary Neural Networks NIPS 2021
The Elastic Lottery Ticket Hypothesis NIPS 2021
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design AAAI 2021
SA-BNN: State-Aware Binary Neural Network AAAI 2021
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks AAAI 2021
DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch AAAI 2021
Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model AAAI 2021
Simple and Effective Stochastic Neural Networks AAAI 2021
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks AAAI 2021
Robust Model Compression Using Deep Hypotheses AAAI 2021
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks AAAI 2021