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Last Updated
Feb 27, 2023
Similar Repos
| Repo | Language | Stars | Description | Updated At |
|---|---|---|---|---|
| Python | 42 | Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters" | Oct 02, 2022 | |
| Python | 12 | Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020). | Jun 03, 2022 | |
| Python | 29 | Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning" | May 22, 2022 | |
| Python | 68 | Code for the paper "Meta-Q-Learning"( ICLR 2020) | Aug 12, 2022 | |
| Python | 32 | (NeurIPS 2020) Meta-Consolidation for Continual Learning | May 09, 2022 | |
| Python | 102 | Graph meta learning via local subgraphs (NeurIPS 2020) | Mar 02, 2023 | |
| Jupyter Notebook | 2 | Demo code for NeurIPS 2020 paper. | Oct 16, 2022 | |
| Python | 37 | Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020) | Apr 14, 2023 | |
| Python | 29 | The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on … | Jun 28, 2022 | |
| Python | 2 | Source code of NeurIPS'21 paper: Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach | Nov 09, 2022 | |
| Python | 34 | Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning" | Jun 17, 2022 | |
| Python | 76 | Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning" | May 20, 2023 | |
| Python | 56 | Supplemental code for our NeurIPS 2020 paper. | May 26, 2023 | |
| Python | 202 | The source code of NeurIPS 2020 paper "CogLTX: Applying BERT to Long Texts" | Sep 09, 2022 | |
| Jupyter Notebook | 5 | Code for the NeurIPS 2020 paper "Unbalanced Sobolev Descent" | Apr 19, 2021 | |
| Python | 18 | Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" | Apr 23, 2023 | |
| Python | 4 | This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning … | Feb 01, 2022 | |
| Python | 61 | Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations" | Jul 30, 2022 | |
| Python | 619 | Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization" | Aug 26, 2022 | |
| Jupyter Notebook | 5 | Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data" | Jan 14, 2023 | |
| Python | 19 | Code release for NeurIPS 2020 paper "Stochastic Normalization" | Jun 28, 2022 | |
| Python | 6 | Code for experiments in SAGE paper (NeurIPS 2020) | Mar 19, 2022 | |
| Python | 153 | Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised … | Jul 31, 2022 | |
| Python | 13 | Code for our paper "Auxiliary Task Reweighting for Minimum-data Learning" (NeurIPS 2020) | Mar 28, 2023 | |
| Julia | 6 | Code for paper: Learning an Optimally Reduced Formulation of OPF through Meta-Optimization | Mar 03, 2022 | |
| Python | 573 | Code for the paper "Meta-Learning Shared Hierarchies" | Aug 12, 2022 | |
| Python | 21 | Source code for NeurIPS 2022 paper SoLar | May 27, 2023 | |
| Jupyter Notebook | 58 | Source code for the examples accompanying the paper "Learning convex optimization control policies." | Jun 28, 2022 | |
| Python | 15 | Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning" | Apr 22, 2023 | |
| Python | 6 | Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder" | Sep 23, 2021 | |
| Python | 10 | Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder" | Jul 19, 2022 | |
| Python | 25 | The source code of the ECCV 2018 paper: Fine-Grained Visual Categorization using Meta-Learning Optimization with … | Dec 29, 2021 | |
| Python | 4 | Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting. | Sep 01, 2021 | |
| Python | 184 | Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting. | Apr 21, 2023 | |
| Python | 67 | (NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper | Feb 11, 2023 | |
| Python | 4 | Source code for the NeurIPS 2022 paper "Deep Combinatorial Aggregation" | Nov 21, 2022 | |
| Python | 91 | Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020. | Jul 15, 2022 | |
| Python | 11 | The source code of EMNLP 2020 accepted paper. | Mar 05, 2023 | |
| Jupyter Notebook | 10 | Source code for the paper "Learning Numeral Embeddings" accepted by EMNLP-findings 2020 | Apr 02, 2023 | |
| Jupyter Notebook | 4 | Code supporting the paper Adversarial Attacks on Contextual Bandits accepted at Neurips 2020. | Nov 06, 2021 | |
| Python | 22 | Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds". | Feb 06, 2023 | |
| Python | 38 | Source code for ICLR 2020 paper: "Learning to Guide Random Search" | Oct 22, 2021 | |
| Python | 18 | Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and … | Mar 25, 2023 | |
| Python | 5 | Code for the NeurIPS'21 paper "Rectangular Flows for Manifold Learning" | Nov 25, 2022 | |
| Python | 59 | The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems' | Jun 25, 2022 | |
| None | 3 | Starter kit for the black box optimization challenge at Neurips 2020 | Dec 12, 2020 | |
| Python | 15 | Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning" | Apr 24, 2023 | |
| Python | 37 | PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020) | Apr 18, 2023 | |
| Jupyter Notebook | 5 | Code for the paper: Discovering Weight Initializers with Meta-Learning | Mar 21, 2022 | |
| JavaScript | 928 | Code for the paper "On First-Order Meta-Learning Algorithms" | Aug 10, 2022 |