| DepGraph: Towards Any Structural Pruning | Jan 30, 2023 | Network PruningNeural Network Compression | CodeCode Available | 4 |
| A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations | Aug 13, 2023 | Adversarial RobustnessNetwork Pruning | CodeCode Available | 2 |
| Data-Free Learning of Student Networks | Apr 2, 2019 | Neural Network Compression | CodeCode Available | 2 |
| 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 |
| Neural Network Compression Framework for fast model inference | Feb 20, 2020 | BinarizationCPU | CodeCode Available | 2 |
| T-Basis: a Compact Representation for Neural Networks | Jul 13, 2020 | Neural Network CompressionTensor Networks | CodeCode Available | 1 |
| SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers | Apr 8, 2023 | Neural Network CompressionQuantization | CodeCode Available | 1 |
| Neural network compression via learnable wavelet transforms | Apr 20, 2020 | Data CompressionNeural Network Compression | CodeCode Available | 1 |
| PD-Quant: Post-Training Quantization based on Prediction Difference Metric | Dec 14, 2022 | Neural Network CompressionQuantization | CodeCode Available | 1 |
| Learning Filter Basis for Convolutional Neural Network Compression | Aug 23, 2019 | General Classificationimage-classification | CodeCode Available | 1 |
| Spectral Tensor Train Parameterization of Deep Learning Layers | Mar 7, 2021 | Deep Learningimage-classification | CodeCode Available | 1 |
| SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks | Jul 21, 2022 | Neural Network Compression | CodeCode Available | 1 |
| Prune Your Model Before Distill It | Sep 30, 2021 | Knowledge Distillationmodel | CodeCode Available | 1 |
| The continuous categorical: a novel simplex-valued exponential family | Feb 20, 2020 | Neural Network CompressionTransfer Learning | CodeCode Available | 1 |
| Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better | Jun 16, 2021 | Deep LearningInformation Retrieval | CodeCode Available | 1 |
| FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation | Feb 15, 2021 | Model CompressionNeural Network Compression | CodeCode Available | 1 |
| Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems | Oct 1, 2019 | Edge-computingImage Classification | CodeCode Available | 1 |
| Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction | Feb 1, 2022 | Neural Network CompressionQuantization | CodeCode Available | 1 |
| CHIP: CHannel Independence-based Pruning for Compact Neural Networks | Oct 26, 2021 | Neural Network Compression | CodeCode Available | 1 |
| Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems | Nov 20, 2020 | Edge-computingimage-classification | CodeCode Available | 1 |
| NeRV: Neural Representations for Videos | Oct 26, 2021 | DenoisingNeural Network Compression | CodeCode Available | 1 |
| Quantisation and Pruning for Neural Network Compression and Regularisation | Jan 14, 2020 | Network PruningNeural Network Compression | CodeCode Available | 1 |
| REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild | Jan 29, 2020 | EEGElectroencephalogram (EEG) | CodeCode Available | 1 |
| Robustness and Transferability of Universal Attacks on Compressed Models | Dec 10, 2020 | Neural Network CompressionQuantization | CodeCode Available | 1 |
| Towards Meta-Pruning via Optimal Transport | Feb 12, 2024 | Neural Network Compression | CodeCode Available | 1 |
