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| Robustness and Transferability of Universal Attacks on Compressed Models | Dec 10, 2020 | Neural Network CompressionQuantization | 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 |
| Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems | Oct 1, 2019 | Edge-computingImage Classification | CodeCode Available | 1 | 5 |
| The continuous categorical: a novel simplex-valued exponential family | Feb 20, 2020 | Neural Network CompressionTransfer Learning | CodeCode Available | 1 | 5 |
| SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers | Apr 8, 2023 | Neural Network CompressionQuantization | 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 |
| FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation | Feb 15, 2021 | Model CompressionNeural Network Compression | CodeCode Available | 1 | 5 |
| Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations | Jul 3, 2021 | BinarizationClassification with Binary Weight Network | CodeCode Available | 0 | 5 |
| Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks | Sep 19, 2018 | CPUGPU | CodeCode Available | 0 | 5 |
