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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

On Self-Distilling Graph Neural Network IJCAI 2021
Graph-Free Knowledge Distillation for Graph Neural Networks IJCAI 2021
Factorization-Aware Training of Transformers for Natural Language Understanding on the Edge INTERSPEECH 2021
Knowledge Distillation for Singing Voice Detection INTERSPEECH 2021
Against Membership Inference Attack: Pruning is All You Need IJCAI 2021
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation IJCAI 2021
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks IJCAI 2021
Uncertainty-aware Binary Neural Networks IJCAI 2021
Distilling Object Detectors via Decoupled Features CVPR 2021
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks CVPR 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 2021
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow MIDL 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020
Variational Bayesian Quantization ICML 2020
DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020
T-Basis: a Compact Representation for Neural Networks ICML 2020
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020
Understanding Generalization in Deep Learning via Tensor Methods AISTATS 2020
Bayesian Sparsification of Deep C-valued Networks ICML 2020
Up or Down? Adaptive Rounding for Post-Training Quantization ICML 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks IJCAI 2020
Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution IJCAI 2020
Channel Pruning via Automatic Structure Search IJCAI 2020