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Neural Network Compression

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Showing 51–100 of 193 papers

TitleStatusHype
Deep Neural Network Compression with Single and Multiple Level QuantizationCode0
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy CompressionCode0
MUSCO: Multi-Stage Compression of neural networksCode0
Parallel Blockwise Knowledge Distillation for Deep Neural Network CompressionCode0
Heavy Tails in SGD and Compressibility of Overparametrized Neural NetworksCode0
A Closer Look at Structured Pruning for Neural Network CompressionCode0
Differentiable Fine-grained Quantization for Deep Neural Network CompressionCode0
Causal-DFQ: Causality Guided Data-free Network QuantizationCode0
Dirichlet Pruning for Neural Network CompressionCode0
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGDCode0
Improving Neural Network Quantization without Retraining using Outlier Channel SplittingCode0
Revisiting Random Channel Pruning for Neural Network CompressionCode0
Forward and Backward Information Retention for Accurate Binary Neural NetworksCode0
Scaling Up Exact Neural Network Compression by ReLU StabilityCode0
Joint Matrix Decomposition for Deep Convolutional Neural Networks CompressionCode0
Few Sample Knowledge Distillation for Efficient Network CompressionCode0
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior ModelsCode0
Soft Weight-Sharing for Neural Network CompressionCode0
spred: Solving L_1 Penalty with SGDCode0
Certified Neural Approximations of Nonlinear DynamicsCode0
Learning Sparse Networks Using Targeted DropoutCode0
StrassenNets: Deep Learning with a Multiplication BudgetCode0
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based ApproachCode0
Characterising Across-Stack Optimisations for Deep Convolutional Neural NetworksCode0
Neural gradients are near-lognormal: improved quantized and sparse training—0
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction—0
Neural Network Compression for Noisy Storage Devices—0
Neural Network Compression for Reinforcement Learning Tasks—0
Neural Network Compression using Binarization and Few Full-Precision Weights—0
Neural Network Compression using Transform Coding and Clustering—0
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning—0
Neural Network Compression Via Sparse Optimization—0
Noisy Neural Network Compression for Analog Storage Devices—0
Online Multi-target regression trees with stacked leaf models—0
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression—0
Quantization Aware Factorization for Deep Neural Network Compression—0
Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study—0
Quantized Sparse Weight Decomposition for Neural Network Compression—0
Quantum Neural Network Compression—0
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression—0
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization—0
SCANN: Synthesis of Compact and Accurate Neural Networks—0
Semi-tensor Product-based TensorDecomposition for Neural Network Compression—0
Similarity-Preserving Knowledge Distillation—0
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations—0
Sparse matrix products for neural network compression—0
SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field—0
Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix—0
Survey on Computer Vision Techniques for Internet-of-Things Devices—0
Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks—0
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