| DepGraph: Towards Any Structural Pruning | Jan 30, 2023 | Network PruningNeural Network Compression | CodeCode Available | 4 | 5 |
| Data-Free Learning of Student Networks | Apr 2, 2019 | Neural Network Compression | CodeCode Available | 2 | 5 |
| Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design | May 2, 2024 | Model CompressionNeural Network Compression | CodeCode Available | 2 | 5 |
| Neural Network Compression Framework for fast model inference | Feb 20, 2020 | BinarizationCPU | CodeCode Available | 2 | 5 |
| A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations | Aug 13, 2023 | Adversarial RobustnessNetwork Pruning | CodeCode Available | 2 | 5 |
| Quantisation and Pruning for Neural Network Compression and Regularisation | Jan 14, 2020 | Network PruningNeural Network Compression | CodeCode Available | 1 | 5 |
| Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems | Oct 1, 2019 | Edge-computingImage Classification | CodeCode Available | 1 | 5 |
| CHIP: CHannel Independence-based Pruning for Compact Neural Networks | Oct 26, 2021 | Neural Network Compression | CodeCode Available | 1 | 5 |
| Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction | Feb 1, 2022 | Neural Network CompressionQuantization | CodeCode Available | 1 | 5 |
| ZeroQ: A Novel Zero Shot Quantization Framework | Jan 1, 2020 | Data Free QuantizationModel Compression | CodeCode Available | 1 | 5 |
| Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better | Jun 16, 2021 | Deep LearningInformation Retrieval | CodeCode Available | 1 | 5 |
| SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers | Apr 8, 2023 | Neural Network CompressionQuantization | CodeCode Available | 1 | 5 |
| PD-Quant: Post-Training Quantization based on Prediction Difference Metric | Dec 14, 2022 | Neural Network CompressionQuantization | CodeCode Available | 1 | 5 |
| Learning Filter Basis for Convolutional Neural Network Compression | Aug 23, 2019 | General Classificationimage-classification | CodeCode Available | 1 | 5 |
| FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation | Feb 15, 2021 | Model CompressionNeural Network Compression | CodeCode Available | 1 | 5 |
| The continuous categorical: a novel simplex-valued exponential family | Feb 20, 2020 | Neural Network CompressionTransfer Learning | CodeCode Available | 1 | 5 |
| T-Basis: a Compact Representation for Neural Networks | Jul 13, 2020 | Neural Network CompressionTensor Networks | CodeCode Available | 1 | 5 |
| Neural network compression via learnable wavelet transforms | Apr 20, 2020 | Data CompressionNeural Network Compression | CodeCode Available | 1 | 5 |
| WoodFisher: Efficient Second-Order Approximation for Neural Network Compression | Apr 29, 2020 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems | Nov 20, 2020 | Edge-computingimage-classification | CodeCode Available | 1 | 5 |
| Prune Your Model Before Distill It | Sep 30, 2021 | Knowledge Distillationmodel | CodeCode Available | 1 | 5 |
| Spectral Tensor Train Parameterization of Deep Learning Layers | Mar 7, 2021 | Deep Learningimage-classification | CodeCode Available | 1 | 5 |
| REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild | Jan 29, 2020 | EEGElectroencephalogram (EEG) | CodeCode Available | 1 | 5 |
| SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks | Jul 21, 2022 | Neural Network Compression | CodeCode Available | 1 | 5 |
| NeRV: Neural Representations for Videos | Oct 26, 2021 | DenoisingNeural Network Compression | CodeCode Available | 1 | 5 |
| Towards Meta-Pruning via Optimal Transport | Feb 12, 2024 | Neural Network Compression | CodeCode Available | 1 | 5 |
| Wavelet Feature Maps Compression for Image-to-Image CNNs | May 24, 2022 | Depth EstimationNeural Network Compression | CodeCode Available | 1 | 5 |
| Robustness and Transferability of Universal Attacks on Compressed Models | Dec 10, 2020 | Neural Network CompressionQuantization | CodeCode Available | 1 | 5 |
| Neural Network Compression of ACAS Xu Early Prototype is Unsafe: Closed-Loop Verification through Quantized State Backreachability | Jan 17, 2022 | Collision AvoidanceNeural Network Compression | CodeCode Available | 0 | 5 |
| Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression | Dec 5, 2020 | Knowledge DistillationNeural Network Compression | CodeCode Available | 0 | 5 |
| Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks | Sep 19, 2018 | CPUGPU | CodeCode Available | 0 | 5 |
| Certified Neural Approximations of Nonlinear Dynamics | May 21, 2025 | Neural Network Compression | CodeCode Available | 0 | 5 |
| MUSCO: Multi-Stage Compression of neural networks | Mar 24, 2019 | Neural Network Compression | CodeCode Available | 0 | 5 |
| Causal-DFQ: Causality Guided Data-free Network Quantization | Sep 24, 2023 | Data Free QuantizationNeural Network Compression | CodeCode Available | 0 | 5 |
| Magnitude and Similarity based Variable Rate Filter Pruning for Efficient Convolution Neural Networks | Dec 27, 2022 | Network PruningNeural Network Compression | CodeCode Available | 0 | 5 |
| DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks | Jul 27, 2019 | Neural Network CompressionQuantization | CodeCode Available | 0 | 5 |
| Learning Sparse Networks Using Targeted Dropout | May 31, 2019 | Network PruningNeural Network Compression | CodeCode Available | 0 | 5 |
| Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters | Sep 30, 2018 | Neural Network CompressionQuantization | CodeCode Available | 0 | 5 |
| Neural Network Compression Using Higher-Order Statistics and AuxiliaryReconstruction Losses | Jun 15, 2020 | Neural Network Compression | CodeCode Available | 0 | 5 |
| Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression | Jul 9, 2021 | Efficient Neural NetworkMatrix Factorization / Decomposition | CodeCode Available | 0 | 5 |
| Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD | Jun 13, 2023 | Neural Network Compression | CodeCode Available | 0 | 5 |
| Efficient Neural Network Compression | Nov 30, 2018 | CPUEfficient Neural Network | CodeCode Available | 0 | 5 |
| Improving Neural Network Quantization without Retraining using Outlier Channel Splitting | Jan 28, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Few Sample Knowledge Distillation for Efficient Network Compression | Dec 5, 2018 | Knowledge DistillationNetwork Pruning | CodeCode Available | 0 | 5 |
| Forward and Backward Information Retention for Accurate Binary Neural Networks | Sep 24, 2019 | BinarizationNeural Network Compression | CodeCode Available | 0 | 5 |
| COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning | Jun 25, 2019 | Model CompressionNeural Network Compression | CodeCode Available | 0 | 5 |
| Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations | Jul 3, 2021 | BinarizationClassification with Binary Weight Network | CodeCode Available | 0 | 5 |
| Deep convolutional neural network compression via coupled tensor decomposition | Nov 16, 2020 | Image ReconstructionNeural Network Compression | CodeCode Available | 0 | 5 |
| Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach | Oct 14, 2019 | Neural Network CompressionQuantization | CodeCode Available | 0 | 5 |
| Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks | Jun 7, 2021 | Generalization BoundsNeural Network Compression | CodeCode Available | 0 | 5 |
