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model compression

3283 papers

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MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

Towards Unified INT8 Training for Convolutional Neural Network CVPR 2020
Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020
Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks CVPR 2020
SCOP: Scientific Control for Reliable Neural Network Pruning NIPS 2020
Position-based Scaled Gradient for Model Quantization and Pruning NIPS 2020
Neuron Merging: Compensating for Pruned Neurons NIPS 2020
FleXOR: Trainable Fractional Quantization NIPS 2020
ShiftAddNet: A Hardware-Inspired Deep Network NIPS 2020
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NIPS 2020
Robust Quantization: One Model to Rule Them All NIPS 2020
Bayesian Bits: Unifying Quantization and Pruning NIPS 2020
Rotated Binary Neural Network NIPS 2020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts NIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NIPS 2020
Kernel Based Progressive Distillation for Adder Neural Networks NIPS 2020
CompRess: Self-Supervised Learning by Compressing Representations NIPS 2020
HYDRA: Pruning Adversarially Robust Neural Networks NIPS 2020
Top-KAST: Top-K Always Sparse Training NIPS 2020
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher NIPS 2020
Model Fusion via Optimal Transport NIPS 2020
Passport-aware Normalization for Deep Model Protection NIPS 2020
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks NIPS 2020
Searching for Low-Bit Weights in Quantized Neural Networks NIPS 2020
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization NIPS 2019