Stars
21
Forks
5
Language
Python
Last Updated
Aug 23, 2022
Similar Repos
Repo | Language | Stars | Description | Updated At |
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None | 5 | Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm | Apr 09, 2023 | |
Python | 14 | Towards a Unified View on Visual Parameter-Efficient Transfer Learning | May 04, 2023 | |
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Python | 28 | Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information. | Aug 08, 2022 | |
Jupyter Notebook | 2 | An implementation of the paper MetricGAN (ICML 2019) in pytorch with some changes. | Jul 06, 2022 | |
Python | 22 | Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021 | Aug 12, 2022 | |
Python | 13 | Codes and datasets for our ICASSP2023 paper, Evaluating parameter-efficient transfer learning approaches on SURE benchmark … | Apr 05, 2023 | |
Jupyter Notebook | 15 | Code for reproducing the experiments of the ICML 2019 paper "Robust Learning from Untrusted Sources" | Sep 16, 2022 | |
Python | 13 | PyTorch implementation of ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter … | Feb 21, 2022 | |
Python | 25 | Progressive Transfer Learning for Person Re-identification published on IJCAI-2019 | Jul 06, 2022 | |
Python | 62 | This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning. | Apr 06, 2023 | |
Python | 4 | Our EMNLP 2022 paper on VIP-Based Prompting for Parameter-Efficient Learning | Mar 24, 2023 | |
Jupyter Notebook | 52 | Transfer Learning for NLP Tasks | Aug 18, 2022 | |
Python | 143 | PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning" | May 24, 2023 | |
Python | 8 | [ICML 2023] Parameter-Level Soft-Masking for Continual Learning | Oct 12, 2023 | |
Python | 5 | Implementation of various parameter efficient methods. | Mar 25, 2022 | |
HTML | 4 | Unsupervised and Transfer Learning Workshop at ICML 2011 | May 08, 2023 | |
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Python | 35 | Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019) | Jul 14, 2022 | |
Python | 46 | Collection of Tools and Papers related to Adapters (aka Parameter-Efficient Transfer Learning/ Fine-Tuning) | Apr 25, 2023 | |
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Python | 27 | Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers" | May 13, 2023 | |
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Python | 102 | CompILE: Compositional Imitation Learning and Execution (ICML 2019) | Oct 14, 2022 | |
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Python | 142 | Pytorch implementation of the CVPR 2019 paper Dense Intrinsic Appearance Flow for Human Pose Transfer. | May 27, 2023 | |
Python | 1195 | Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 … | Aug 11, 2022 | |
Python | 167 | Code for ICML 2019 paper "Simple Black-box Adversarial Attacks" | Apr 30, 2023 | |
Jupyter Notebook | 5 | Code for the paper “Characterizing Well-behaved vs. Pathological Deep Neural Networks“ published in 36th International … | May 06, 2023 | |
Python | 5 | Source code for the AAAI 2023 paper "Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding" | Mar 20, 2023 | |
Python | 183 | Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient … | Jul 26, 2022 | |
Python | 22 | official code implementation for the paper "Towards General and Efficient Active Learning" | Apr 07, 2023 | |
Python | 9 | Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks … | Apr 07, 2023 | |
Python | 57 | DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs' | May 20, 2023 | |
MATLAB | 16 | Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019. | Oct 31, 2022 | |
Jupyter Notebook | 3 | Transfer Learning and Hyper Parameter Tuning using MobileNet-v2 | Mar 04, 2023 | |
Python | 41 | Code released for CVPR 2019 paper "Learning to Transfer Examples for Partial Domain Adaptation" | Feb 17, 2022 | |
None | 21 | Learning Tableau 2019, published by Packt | May 26, 2022 | |
Jupyter Notebook | 112 | Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning" | Apr 24, 2023 | |
Python | 43 | Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning" | Apr 20, 2023 | |
Python | 705 | Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 … | Jun 05, 2022 | |
Python | 53 | Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019. | Jun 15, 2022 | |
Python | 55 | Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019) | May 03, 2023 |