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Last Updated
Feb 29, 2024
Similar Repos
| Repo | Language | Stars | Description | Updated At |
|---|---|---|---|---|
| Python | 68 | Code for the paper "Meta-Q-Learning"( ICLR 2020) | Aug 12, 2022 | |
| Python | 6 | Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models | Feb 03, 2023 | |
| Python | 49 | Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future | May 30, 2022 | |
| Jupyter Notebook | 10 | Code repository complementing the ICLR 2021 paper "Unsupervised Object Keypoint Learning using Local Spatial Predictability" … | Nov 06, 2022 | |
| Python | 346 | PyTorch code for ICLR 2021 paper Unbiased Teacher for Semi-Supervised Object Detection | Aug 03, 2022 | |
| Python | 2 | Code for paper "Learning Meta Representation for Agents in Multi-Agent Reinforcement Learning". | Nov 27, 2023 | |
| Python | 16 | :test_tube: Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021) | Apr 15, 2022 | |
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| Jupyter Notebook | 5 | Code for the paper: Discovering Weight Initializers with Meta-Learning | Mar 21, 2022 | |
| Python | 573 | Code for the paper "Meta-Learning Shared Hierarchies" | Aug 12, 2022 | |
| Python | 25 | Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022) | Apr 15, 2023 | |
| Python | 53 | (TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning | Sep 22, 2022 | |
| Python | 9 | Code for the ICLR 2019 paper "Learning to Represent Edits" | Oct 26, 2021 | |
| Python | 3 | Source code for ICLR 2022 paper "Meta Discovery: Learning to Discover Novel Classes given Very … | May 31, 2022 | |
| Python | 32 | Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading". | Jul 16, 2022 | |
| Python | 92 | Code for the ICLR 2021 paper "A Distributional Approach to Controlled Text Generation" | Jul 25, 2022 | |
| Python | 34 | Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search" | Aug 18, 2022 | |
| Python | 6 | Code for the paper 'Learning from Imperfect Demonstrations from Agents with Varying Dynamics' | May 06, 2022 | |
| Python | 24 | Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021. | Aug 07, 2021 | |
| Python | 94 | The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper] | Aug 11, 2022 | |
| Python | 30 | Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021] | Mar 09, 2023 | |
| JavaScript | 928 | Code for the paper "On First-Order Meta-Learning Algorithms" | Aug 10, 2022 | |
| Python | 9 | Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning" | Mar 18, 2022 | |
| Python | 102 | Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotlight) | May 01, 2023 | |
| Python | 65 | [ICLR 2021] Zero-shot Synthesis with Group-Supervised Learning | Apr 13, 2023 | |
| Python | 105 | code for ICCV19 paper "Deep Meta Metric Learning" | Mar 08, 2023 | |
| Python | 26 | Code for the paper Learning Visible Connectivity Dynamics for Cloth Smoothing | Aug 11, 2022 | |
| Python | 44 | Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322) | Aug 09, 2022 | |
| Python | 42 | Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters" | Oct 02, 2022 | |
| Python | 18 | Source Code for paper "Learning from Explanations with Neural Execution Tree", ICLR 2020 | Mar 27, 2022 | |
| Jupyter Notebook | 2 | Code released for the paper "Meta-learning Control Variates: Variance Reduction with Limited Data" | Apr 09, 2023 | |
| Python | 6 | Code accompanying the ICLR 2021 paper "ResNet After All? Neural ODEs and Their Numerical Solution" | Jul 05, 2022 | |
| Python | 3 | Code for the ICLR'21 paper "C-Learning: Horizon-Aware Cumulative Accessibility Estimation" | Sep 24, 2021 | |
| None | 283 | ICCV 2021 paper with code | Jul 25, 2022 | |
| Python | 22 | Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding" | Sep 08, 2022 | |
| Python | 19 | Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies> | Nov 02, 2022 | |
| Python | 38 | Source code for ICLR 2020 paper: "Learning to Guide Random Search" | Oct 22, 2021 | |
| Python | 142 | Code example for the ICLR 2018 oral paper | Mar 31, 2023 | |
| Jupyter Notebook | 9 | Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function | Feb 21, 2023 | |
| TeX | 4 | Repository of ICLR 2021 paper "Calibration tests beyond classification" | Oct 25, 2022 | |
| MATLAB | 3 | Meta repository for data and code associated with the Burleyson et al. 2021 paper in … | Sep 21, 2023 | |
| Python | 22 | Code repository for the paper "Meta-Learning via Classifier(-free) Diffusion Guidance" | Apr 17, 2023 | |
| Jupyter Notebook | 2 | Code for the paper "Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments" | Aug 20, 2023 | |
| Python | 35 | Code for the paper "Marginalized Average Attentional Network for Weakly-Supervised Learning" (ICLR 2019) | Aug 25, 2022 | |
| Python | 3 | Code and Data for the paper: Multi-level Protein Structure Pre-training with Prompt Learning [ICLR 2023] | Jun 12, 2023 | |
| Python | 52 | This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks". | Feb 21, 2023 | |
| Python | 37 | Code for WACV 2021 Paper "Meta Module Network for Compositional Visual Reasoning" | Mar 27, 2023 | |
| Python | 29 | Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning" | May 22, 2022 | |
| Python | 104 | [ICLR 2021] Concept Learners for Few-Shot Learning | Apr 02, 2023 | |
| Python | 17 | Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021 | Sep 05, 2022 |