deeplearning-wisc Goto Github PK
Type: Organization
Bio: CS Research Group led by Prof. Sharon Li
Type: Organization
Bio: CS Research Group led by Prof. Sharon Li
PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"
source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
source code for ICML'24 paper "When and how does in-distribution label help out-of-distribution detection?"
Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"
Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"
Official Implementation of AAAI 2023 paper "Distributionally Robust Optimization with Probabilistic Groups"
Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"
source code for ICLR'24 paper "How does unlabeled data provably help OOD detection?"
source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"
Official Implementation of AAAI 2024 "How to Overcome Curse-of-Dimensionality for OOD Detection?" paper
Code for NeurIPS 2023 paper "A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning"
source code for CVPR'22 paper "Unknown-Aware Object Detection: Learning What You Don’t Know from Videos in the Wild"
source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.