Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)
☆32Oct 25, 2020Updated 5 years ago
Alternatives and similar repositories for lookahead_pruning
Users that are interested in lookahead_pruning are comparing it to the libraries listed below
Sorting:
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Oct 22, 2019Updated 6 years ago
- Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)☆25May 14, 2019Updated 6 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 5 years ago
- Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)☆25Aug 13, 2020Updated 5 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Mar 2, 2024Updated 2 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Feb 15, 2023Updated 3 years ago
- ☆69Mar 4, 2020Updated 5 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Feb 18, 2020Updated 6 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆64Jan 17, 2026Updated last month
- Codes for "Learning bounds for risk-sensitive learning," NeurIPS 2020 (or see arXiv 2006.08138)☆11Oct 15, 2020Updated 5 years ago
- ☆39Jul 6, 2023Updated 2 years ago
- ☆24Dec 4, 2020Updated 5 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Nov 28, 2020Updated 5 years ago
- bilevel_augment is a ServiceNow Research project that was started at Element AI.☆27Jun 23, 2022Updated 3 years ago
- Active attention in classification networks that is optimised at the time of model training.☆11Nov 9, 2018Updated 7 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Aug 28, 2023Updated 2 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 4 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Jul 15, 2021Updated 4 years ago
- ☆12Jul 7, 2021Updated 4 years ago
- Code for "Fast Sparse ConvNets" CVPR2020 submissions☆12Nov 20, 2019Updated 6 years ago
- This repository shows how to efficiently process variable-length sequences in TensorFlow.☆14Apr 26, 2022Updated 3 years ago
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆32May 21, 2023Updated 2 years ago
- ☆13Jan 8, 2020Updated 6 years ago
- Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.☆12Aug 15, 2019Updated 6 years ago
- Graph Knowledge Distillation☆13Mar 6, 2020Updated 5 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Jan 3, 2022Updated 4 years ago
- Repository for conditional transport☆15Jan 12, 2022Updated 4 years ago
- Reproducibility challenge project for a candidate paper of ICLR2018: Incremental Learning through Deep Adaption☆14Dec 20, 2017Updated 8 years ago
- This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off☆13May 30, 2019Updated 6 years ago
- ☆15Dec 9, 2018Updated 7 years ago
- ☆33Jun 3, 2021Updated 4 years ago
- Source code for 'Knowledge Distillation via Instance Relationship Graph'☆30Jun 13, 2019Updated 6 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Oct 25, 2019Updated 6 years ago
- Code for "Self-Distillation as Instance-Specific Label Smoothing"☆16Oct 22, 2020Updated 5 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆35Jun 29, 2023Updated 2 years ago
- ☆14Mar 5, 2021Updated 4 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 4 years ago
- ☆15May 11, 2019Updated 6 years ago
- AutoML framework balancing performance and complexity☆15May 9, 2021Updated 4 years ago