| Efficient CNN-LSTM based Image Captioning using Neural Network Compression | Dec 17, 2020 | DecoderImage Captioning | CodeCode Available | 0 |
| Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks | Jun 7, 2021 | Generalization BoundsNeural Network Compression | CodeCode Available | 0 |
| Dirichlet Pruning for Neural Network Compression | Nov 10, 2020 | Neural Network CompressionVariational Inference | CodeCode Available | 0 |
| 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 |
| Differentiable Fine-grained Quantization for Deep Neural Network Compression | Oct 20, 2018 | Neural Network CompressionQuantization | CodeCode Available | 0 |
| Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD | Jun 13, 2023 | Neural Network Compression | CodeCode Available | 0 |
| Improving Neural Network Quantization without Retraining using Outlier Channel Splitting | Jan 28, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
| Forward and Backward Information Retention for Accurate Binary Neural Networks | Sep 24, 2019 | BinarizationNeural Network Compression | CodeCode Available | 0 |
| A Closer Look at Structured Pruning for Neural Network Compression | Oct 10, 2018 | Network PruningNeural Network Compression | CodeCode Available | 0 |
| Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression | Jul 9, 2021 | Efficient Neural NetworkMatrix Factorization / Decomposition | CodeCode Available | 0 |
| Few Sample Knowledge Distillation for Efficient Network Compression | Dec 5, 2018 | Knowledge DistillationNetwork Pruning | CodeCode Available | 0 |
| Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models | Sep 26, 2024 | Neural Network CompressionQuantization | CodeCode Available | 0 |
| Focused Quantization for Sparse CNNs | Mar 7, 2019 | Model CompressionNeural Network Compression | CodeCode Available | 0 |
| DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression | Jan 26, 2019 | Network PruningNeural Network Compression | CodeCode Available | 0 |
| Learning Sparse Networks Using Targeted Dropout | May 31, 2019 | Network PruningNeural Network Compression | CodeCode Available | 0 |
| Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach | Oct 14, 2019 | Neural Network CompressionQuantization | CodeCode Available | 0 |
| Teacher-Class Network: A Neural Network Compression Mechanism | Apr 7, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks | Sep 19, 2018 | CPUGPU | CodeCode Available | 0 |
| Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression | May 25, 2023 | Multi-Task LearningNeural Network Compression | CodeCode Available | 0 |
| Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation | Oct 6, 2020 | Bayesian Optimizationglobal-optimization | CodeCode Available | 0 |
| Magnitude and Similarity based Variable Rate Filter Pruning for Efficient Convolution Neural Networks | Dec 27, 2022 | Network PruningNeural Network Compression | CodeCode Available | 0 |
| Efficient Neural Network Compression | Nov 30, 2018 | CPUEfficient Neural Network | CodeCode Available | 0 |
| Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters | Sep 30, 2018 | Neural Network CompressionQuantization | CodeCode Available | 0 |
| Deep Neural Network Compression with Single and Multiple Level Quantization | Mar 6, 2018 | Neural Network CompressionQuantization | CodeCode Available | 0 |
| Revisiting Random Channel Pruning for Neural Network Compression | May 11, 2022 | Neural Network Compression | CodeCode Available | 0 |
| Deep Neural Network Compression for Image Classification and Object Detection | Oct 7, 2019 | ClassificationClustering | CodeCode Available | 0 |
| Weightless: Lossy Weight Encoding For Deep Neural Network Compression | Nov 13, 2017 | Model CompressionNeural Network Compression | CodeCode Available | 0 |
| Scaling Up Exact Neural Network Compression by ReLU Stability | Feb 15, 2021 | Neural Network Compression | CodeCode Available | 0 |
| XNOR-Net++: Improved Binary Neural Networks | Sep 30, 2019 | BinarizationClassification with Binary Neural Network | CodeCode Available | 0 |
| Certified Neural Approximations of Nonlinear Dynamics | May 21, 2025 | Neural Network Compression | CodeCode Available | 0 |
| Similarity-Preserving Knowledge Distillation | Jul 23, 2019 | Knowledge DistillationNeural Network Compression | CodeCode Available | 0 |
| ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model | Dec 5, 2018 | Neural Network Compressionregression | CodeCode Available | 0 |
| torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation | Nov 25, 2020 | Image ClassificationInstance Segmentation | CodeCode Available | 0 |
| Soft Weight-Sharing for Neural Network Compression | Feb 13, 2017 | Neural Network CompressionQuantization | CodeCode Available | 0 |
| Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation | Oct 19, 2021 | Knowledge DistillationNeural Network Compression | CodeCode Available | 0 |
| spred: Solving L_1 Penalty with SGD | Oct 3, 2022 | Inductive BiasNeural Network Compression | CodeCode Available | 0 |
| Towards Compact CNNs via Collaborative Compression | May 24, 2021 | Neural Network CompressionTensor Decomposition | CodeCode Available | 0 |
| Deep convolutional neural network compression via coupled tensor decomposition | Nov 16, 2020 | Image ReconstructionNeural Network Compression | CodeCode Available | 0 |
| Diversity Networks: Neural Network Compression Using Determinantal Point Processes | Nov 16, 2015 | DiversityNeural Network Compression | CodeCode Available | 0 |
| DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks | Jul 27, 2019 | Neural Network CompressionQuantization | CodeCode Available | 0 |
| Neural Network Compression Using Higher-Order Statistics and AuxiliaryReconstruction Losses | Jun 15, 2020 | Neural Network Compression | CodeCode Available | 0 |
| Causal-DFQ: Causality Guided Data-free Network Quantization | Sep 24, 2023 | Data Free QuantizationNeural Network Compression | CodeCode Available | 0 |
| StrassenNets: Deep Learning with a Multiplication Budget | Dec 11, 2017 | Deep Learningimage-classification | CodeCode Available | 0 |