Stable Prediction with Model Misspecification and Agnostic Distribution Shift
☆26Apr 26, 2020Updated 6 years ago
Alternatives and similar repositories for Decorrelated-Weighted-Regression
Users that are interested in Decorrelated-Weighted-Regression are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Jun 6, 2024Updated 2 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆26Oct 22, 2023Updated 2 years ago
- Materials for the paper https://arxiv.org/pdf/2007.15036.pdf☆14Aug 3, 2020Updated 6 years ago
- Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack CVPR 2021☆15Mar 8, 2024Updated 2 years ago
- Code for the paper titled "Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks" (NeurIPS…☆11Jan 7, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆62Nov 17, 2020Updated 5 years ago
- ☆12Jul 17, 2023Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆90May 25, 2022Updated 4 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆27Feb 15, 2024Updated 2 years ago
- Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)☆20Mar 11, 2022Updated 4 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Oct 13, 2021Updated 4 years ago
- AAAI23-Directed Acyclic Graph Structure Learning from Dynamic Graphs☆12Nov 25, 2022Updated 3 years ago
- The official repository for TensorFlow 2.0 implementation of MetaTTE.☆10Mar 9, 2022Updated 4 years ago
- Code Library for Multi-sphere Particles. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2…☆16May 6, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- DGL implementation of some deep GNNs☆10Dec 6, 2020Updated 5 years ago
- ☆12Nov 28, 2015Updated 10 years ago
- [ECAI-2024] OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning☆16Jan 7, 2025Updated last year
- ☆11Oct 31, 2021Updated 4 years ago
- ☆15Feb 8, 2022Updated 4 years ago
- Code for the paper "Deep Joint Two-stream Wasserstein Auto-Encoder and Selective Attention Alignment for Unsupervised Domain Adaptation" …☆11Jun 7, 2019Updated 7 years ago
- A pytorch implementation of LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning(ICML 2019)☆12Nov 5, 2019Updated 6 years ago
- Chat offline with open-source LLMs like deepseek-r1, nemotron, qwen, llama and more all through a simple R package powered by Shiny and O…☆22Mar 12, 2025Updated last year
- code released for our TIP 2021 paper "Adversarial Domain Adaptation with Prototype-based Normalized Output Conditioner"☆15May 24, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official Pytorch implementation of ACIDS, ECCV 2020 "Learning to Cluster under Domain Shift"☆15Dec 10, 2020Updated 5 years ago
- Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch☆12Apr 8, 2021Updated 5 years ago
- Multi-fidelity regression with neural networks☆18Oct 29, 2025Updated 9 months ago
- ☆28Feb 12, 2023Updated 3 years ago
- A curated list of papers and resources on byte-based large language models (LLMs) — models that operate directly on raw bytes.☆15Jul 12, 2025Updated last year
- Source code for "Scalable Transformer for High Dimensional Multivariate Time Series Forecasting" (Accepted by CIKM-24)☆19Jan 13, 2025Updated last year
- Dual-Branch Meta-learning Network with Distribution Alignment for Face Anti-spoofing, Transactions on Information Forensics & Security☆17Jan 5, 2022Updated 4 years ago
- Results and software for our paper on structured epidemic modeling☆16Sep 21, 2022Updated 3 years ago
- AI IDS Application for IoT Dataset☆18Aug 26, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Repository for "Uncertainty Regularized Evidential Regression" published in AAAI 2024☆21Jun 30, 2024Updated 2 years ago
- explanation / demos of topology concepts☆14May 25, 2022Updated 4 years ago
- [NeurIPS 2024 Spotlight] Official Code of the paper "Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Foreca…☆16Dec 24, 2024Updated last year
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆29Jun 28, 2024Updated 2 years ago
- Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing, Pattern Recognition☆15Dec 12, 2021Updated 4 years ago
- Machine Learning for Healthcare 2018 - Reproducible Survival Prediction with SEER Cancer Data☆19Aug 6, 2018Updated 8 years ago
- Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.☆14Oct 23, 2020Updated 5 years ago