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Neural Network Compression

Papers

Showing 76–100 of 193 papers

TitleStatusHype
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition—0
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study—0
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression—0
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data—0
Data-Driven Low-Rank Neural Network Compression—0
HEMP: High-order Entropy Minimization for neural network comPression—0
Joint Matrix Decomposition for Deep Convolutional Neural Networks CompressionCode0
Exact Backpropagation in Binary Weighted Networks with Group Weight TransformationsCode0
Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner—0
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and BetterCode1
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression—0
Heavy Tails in SGD and Compressibility of Overparametrized Neural NetworksCode0
Towards Compact CNNs via Collaborative CompressionCode0
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis—0
Spectral Tensor Train Parameterization of Deep Learning LayersCode1
Scaling Up Exact Neural Network Compression by ReLU StabilityCode0
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware TransformationCode1
Neural Network Compression for Noisy Storage Devices—0
UMEC: Unified model and embedding compression for efficient recommendation systems—0
Sparse matrix products for neural network compression—0
Efficient CNN-LSTM based Image Captioning using Neural Network CompressionCode0
Robustness and Transferability of Universal Attacks on Compressed ModelsCode1
Parallel Blockwise Knowledge Distillation for Deep Neural Network CompressionCode0
Multi-head Knowledge Distillation for Model Compression—0
torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation—0
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