Stars
33
Forks
2
Language
Python
Last Updated
May 26, 2024
Similar Repos
| Repo | Language | Stars | Description | Updated At |
|---|---|---|---|---|
| Python | 773 | Code for the paper "Exploration by Random Network Distillation" | Aug 07, 2022 | |
| Python | 2 | Code for the paper "Exploration by Random Network Distillation" | Oct 11, 2020 | |
| Julia | 6 | Modular random feature approximation in Julia | Oct 04, 2022 | |
| Lua | 392 | Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" … | Jun 12, 2022 | |
| Lua | 4 | Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" … | May 03, 2020 | |
| None | 2 | Code for "Dataset Distillation Fixes Dataset Reconstruction Attacks" | Dec 14, 2023 | |
| None | 16 | The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023) | Apr 10, 2023 | |
| Python | 21 | The code of IEEE TMI paper Efficient Medical Image Segmentation Based on Knowledge Distillation | Jun 07, 2022 | |
| Python | 292 | Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories" | Apr 23, 2023 | |
| Python | 42 | Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022) | Apr 27, 2023 | |
| Python | 14 | Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks" | Jul 06, 2022 | |
| Python | 3 | Source code for paper: Importance Adaptive Policy Distillation | Sep 22, 2022 | |
| Python | 8 | The official implementation for paper: Improving Knowledge Distillation via Regularizing Feature Norm and Direction | Jul 13, 2023 | |
| Python | 118 | ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution | May 21, 2023 | |
| Matlab | 5 | Experiments using the Fast Eigenspace Approximation using Random Signals (FEARS) method. | Jan 21, 2021 | |
| Python | 18 | Code for the paper Sample Efficient Grasp Learning Using Equivariant Models | Feb 28, 2023 | |
| Python | 26 | Source code and dataset for the paper "" | Feb 27, 2023 | |
| Jupyter Notebook | 5 | Official Code for the paper: "Composite Feature Selection using Deep Ensembles" | Mar 27, 2023 | |
| Python | 43 | PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022. | Mar 28, 2023 | |
| Python | 41 | This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), … | Jul 24, 2022 | |
| Python | 11 | The official code to reproduce results from the NACCL2019 paper: White-to-Black: Efficient Distillation of Black-Box … | Apr 15, 2023 | |
| Python | 6 | Efficient Dataset Loading Using TensorFlow Dataset API | Jul 10, 2020 | |
| None | 8 | [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”. | Mar 11, 2023 | |
| Python | 2 | Data and code for the CausalNLI dataset paper | May 18, 2023 | |
| HTML | 5 | The code for the survey paper of feature extraction | Oct 25, 2023 | |
| None | 7 | Code for Paper "Self-Distillation from the Last Mini-Batch for Consistency Regularization" | Apr 25, 2022 | |
| Jupyter Notebook | 3 | Official code for the paper "Domain Generalization for Crop Segmentation with Knowledge Distillation"" | May 05, 2023 | |
| Python | 18 | Code for paper 'Data-Efficient FineTuning' | Apr 14, 2023 | |
| Python | 76 | Code and pretrained models for paper: Data-Free Adversarial Distillation | Nov 22, 2022 | |
| Python | 3 | Official implementation of the paper "Enhancing Low Resolution Face Recognition with Feature Similarity Knowledge Distillation"" | Apr 30, 2023 | |
| Python | 44 | An efficient approximation for tree edit-distance. | Jun 16, 2022 | |
| Python | 14 | Code for the ICLR'22 paper "Improving Non-Autoregressive Translation Models Without Distillation" | Apr 13, 2023 | |
| Python | 3 | Official code for the paper - Boosting Adversarial Robustness using Feature Level Stochastic Smoothing | Jan 01, 2022 | |
| Python | 5 | Code repository for our paper presenting the L3D dataset. | May 31, 2022 | |
| Python | 2 | Official code repository for the BigIssue dataset and paper. | Jul 25, 2022 | |
| Python | 4 | Code for EACL'23 paper "Udapter: Efficient Domain Adaptation Using Adapters" | Mar 24, 2023 | |
| Jupyter Notebook | 2 | Using Random Forest Regressor with the boston dataset | Mar 01, 2022 | |
| Python | 7 | The dataset and code for paper: TheoremQA: A Theorem-driven Question Answering dataset | May 22, 2023 | |
| Python | 35 | Code for the paper: "Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM" | Mar 30, 2023 | |
| Python | 11 | Code for the EMNLP2020 long paper "Lifelong Language Knowledge Distillation" https://arxiv.org/abs/2010.02123 | Feb 23, 2023 | |
| Python | 2 | Code for paper titled "MiniDisc: Minimal Distillation Schedule for Language Model Compression" | Aug 07, 2023 | |
| C++ | 9 | Code for DNN feature map compression paper | Mar 16, 2021 | |
| Python | 2 | Code for the paper "Easy Variational Inference for Categorical Models via an Independent Binary Approximation" | Apr 17, 2023 | |
| Python | 8 | Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding" | Feb 07, 2023 | |
| Jupyter Notebook | 5 | Code accompanying a paper on data-driven polynomial ridge approximation | Apr 19, 2022 | |
| MATLAB | 34 | code for the paper "ZoomOut: Spectral Upsampling for Efficient Shape Correspondence" | Apr 25, 2023 | |
| Python | 3 | Source code for the paper, "Efficient Augmentation for Imbalanced Deep Learning." | Oct 12, 2023 | |
| Python | 153 | Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised … | Jul 31, 2022 | |
| Python | 15 | Low precision random Fourier features for kernel approximation | Feb 20, 2022 | |
| Python | 3 | PyTorch implementation of the paper: CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing. | Mar 25, 2023 |