[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
☆18Jul 7, 2023Updated 3 years ago
Alternatives and similar repositories for Unleashing-Mask
Users that are interested in Unleashing-Mask are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 3 years ago
- ☆26Mar 17, 2023Updated 3 years ago
- ☆16May 25, 2022Updated 4 years ago
- A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-di…☆18Nov 26, 2022Updated 3 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Feb 17, 2022Updated 4 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆43Jul 18, 2025Updated last year
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆42Sep 28, 2022Updated 4 years ago
- Experiments for "A Closer Look at In-Context Learning under Distribution Shifts"☆17May 29, 2023Updated 3 years ago
- This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.☆23Sep 2, 2022Updated 4 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆86Jul 27, 2023Updated 3 years ago
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆15Nov 27, 2023Updated 2 years ago
- Analyzing Stock Movements using Markov Chains and Monte Carlo Simulation☆11Dec 25, 2016Updated 9 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [DALI 2022] "Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study" by Gregory Holste, Song Wang, Ziyu Jian…☆36Sep 30, 2022Updated 4 years ago
- [arXiv:2510.06261] "AlphaApollo: A System for Deep Agentic Reasoning"☆51Aug 21, 2026Updated last month
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Jul 28, 2021Updated 5 years ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆17Feb 27, 2025Updated last year
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆14Oct 12, 2023Updated 3 years ago
- This repo provides a demo for the ICML 2023 paper "Moderately Distributional Exploration for Domain Generalization" on the PACS dataset.☆15Jun 5, 2023Updated 3 years ago
- Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"☆10Jan 22, 2024Updated 2 years ago
- [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…☆29Dec 30, 2021Updated 4 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆26Apr 12, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆22Feb 20, 2022Updated 4 years ago
- ☆14Jul 17, 2025Updated last year
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆21Nov 10, 2023Updated 2 years ago
- ☆23Jun 15, 2022Updated 4 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29May 27, 2025Updated last year
- ☆12Jan 17, 2024Updated 2 years ago
- source code for ICLR'23 paper "Non-parametric Outlier Synthesis"☆52Oct 1, 2023Updated 3 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆66Aug 13, 2023Updated 3 years ago
- ☆24Jun 28, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Implementation of ''VPUFormer: Visual Prompt Unified Transformer for Interactive Image Segmentation''☆15Sep 16, 2025Updated last year
- Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)☆19Jun 12, 2024Updated 2 years ago
- The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)☆30Jun 27, 2023Updated 3 years ago
- Code for Debiasing Vision-Language Models via Biased Prompts☆60May 16, 2023Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated 2 years ago
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆21Sep 11, 2025Updated last year
- This is the code for our paper: "Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition", which is under review.☆11Oct 22, 2023Updated 2 years ago