Stars
75
Forks
12
Language
Python
Last Updated
Mar 22, 2024
Similar Repos
Repo | Language | Stars | Description | Updated At |
---|---|---|---|---|
Python | 26 | [AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717 | Jul 12, 2022 | |
Python | 28 | [AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation" https://arxiv.org/abs/2012.06995 | Jul 13, 2022 | |
Python | 8 | Implementation of Adverserial Discriminative Domain Adaptation from https://arxiv.org/abs/1702.05464 | May 05, 2021 | |
Python | 83 | Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762) | Jul 28, 2022 | |
Python | 68 | ICML 2022 https://arxiv.org/abs/2205.15508 | Oct 08, 2022 | |
Python | 14 | Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch | Apr 21, 2023 | |
Python | 31 | [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339 | Aug 13, 2022 | |
None | 2 | A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440) | Mar 20, 2023 | |
Python | 811 | A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440) | Oct 11, 2022 | |
Python | 13 | Implementation of CVPR 2022 paper "Learning Distinctive Margin toward Active Domain Adaptation” | Jul 11, 2022 | |
Python | 2 | Pytorch Implementation of MAS-LR, a Continual Learning approach for importance driven incremental domain learning. https://arxiv.org/abs/2005.00079 | Sep 08, 2022 | |
Python | 51 | [CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for … | Aug 12, 2022 | |
Python | 3 | Active Adversarial Domain Adaptation | Jun 22, 2022 | |
None | 4 | Code for ICLR2022 Decoupled Adaptation for Cross-Domain Object Detection (D-adapt) https://arxiv.org/abs/2110.02578 | Jul 05, 2022 | |
None | 3 | Code for CVPR 2021 Regressive Domain Adaptation for Unsupervised Keypoint Detection (RegDA) https://arxiv.org/abs/2103.06175 | Sep 03, 2022 | |
Python | 27 | Official Implementation of Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation https://arxiv.org/abs/2105.05013 | Jun 29, 2022 | |
Python | 9 | Learning algorithm described in "A New PAC-Bayesian Perspective on Domain Adaptation" (see http://arxiv.org/abs/1506.04573) | Jan 01, 2021 | |
Python | 19 | [ACMMM 2020] Code release for "Simultaneous Semantic Alignment Network for Heterogenous Domain Adaptation" https://arxiv.org/abs/2008.01677 | May 16, 2022 | |
Python | 19 | Simple reimplementation of Maximum Density Divergence for Unsupervised Domain Adaptation (https://arxiv.org/abs/2004.12615) in PyTorch Lightning | Apr 29, 2023 | |
Python | 9 | Official Implementation of paper https://arxiv.org/abs/1801.02612 | Sep 21, 2022 | |
Jupyter Notebook | 531 | Official Implementation of Paella https://arxiv.org/abs/2211.07292v1 | Apr 24, 2023 | |
Python | 42 | Official implementation of AdaMML. https://arxiv.org/abs/2105.05165. | Aug 01, 2022 | |
Python | 136 | Official implementation of CrossViT. https://arxiv.org/abs/2103.14899 | Aug 04, 2022 | |
Jupyter Notebook | 22 | Official implementation of https://arxiv.org/abs/2105.08655 paper | Sep 23, 2022 | |
Jupyter Notebook | 11 | Official implementation of https://arxiv.org/abs/2108.11554 paper | May 08, 2022 | |
Python | 15 | Code for "Learning Unitary Operators with Help From u(n)", AAAI-17. (https://arxiv.org/abs/1607.04903) | Apr 14, 2023 | |
Python | 2641 | The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of … | Aug 12, 2022 | |
Jupyter Notebook | 16 | [NOT OFFICIAL VERSION] Communication Algorithms via Deep Learning. Paper: https://arxiv.org/abs/1805.09317 | Aug 13, 2022 | |
Python | 46 | Official repository of our paper: https://arxiv.org/abs/2010.15366 | Sep 22, 2022 | |
Jupyter Notebook | 87 | CVPR 2022 - official implementation for "Long-Tailed Recognition via Weight Balancing" https://arxiv.org/abs/2203.14197 | Apr 24, 2023 | |
Python | 18 | CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883 | Feb 19, 2022 | |
Python | 36 | ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341 | Apr 25, 2023 | |
Python | 28 | EMNLP 2022: Differentiable Data Augmentation for Contrastive Sentence Representation Learning. https://arxiv.org/abs/2210.16536 | Apr 06, 2023 | |
Python | 115 | PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529 | Oct 17, 2022 | |
Python | 17 | NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790 | Sep 19, 2022 | |
Python | 18 | "Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning"(https://arxiv.org/abs/2103.17258) | Jul 05, 2022 | |
Python | 2 | https://arxiv.org/abs/2003.10120 | Feb 03, 2021 | |
Python | 3 | https://arxiv.org/abs/2201.06499 | May 23, 2022 | |
None | 16 | https://arxiv.org/abs/2010.14660 | May 02, 2022 | |
Python | 122 | https://arxiv.org/abs/1904.01941 | Oct 16, 2022 | |
Jupyter Notebook | 125 | https://arxiv.org/abs/2107.12518 | Aug 31, 2022 | |
Python | 37 | https://arxiv.org/abs/1706.04972 | Sep 24, 2022 | |
Python | 65 | https://arxiv.org/abs/2005.10497 | Sep 11, 2022 | |
Python | 21 | https://arxiv.org/abs/2009.01561 | Oct 10, 2022 | |
None | 16 | https://arxiv.org/abs/2102.11439 | Jul 22, 2022 | |
Jupyter Notebook | 21 | https://arxiv.org/abs/1707.00836 | Nov 18, 2021 | |
Python | 32 | https://arxiv.org/abs/2104.13464 | Sep 15, 2022 | |
Jupyter Notebook | 10 | https://arxiv.org/abs/2006.04992 | Oct 07, 2022 | |
Python | 16 | https://arxiv.org/abs/1711.05101 | Aug 02, 2022 | |
Python | 5 | https://arxiv.org/abs/1606.00704 | Jan 13, 2021 |