A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
☆44Sep 22, 2022Updated 3 years ago
Alternatives and similar repositories for distinction-maximization-loss
Users that are interested in distinction-maximization-loss are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Pe…☆79Sep 22, 2022Updated 3 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
- source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"☆325Oct 1, 2023Updated 2 years ago
- ☆71Dec 19, 2018Updated 7 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆42Sep 28, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Dec 17, 2022Updated 3 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆37Mar 22, 2021Updated 5 years ago
- Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation☆27Jan 31, 2021Updated 5 years ago
- Official code for the paper: "Metadata Archaeology"☆19May 10, 2023Updated 3 years ago
- A PyTorch implementation of "Self-Supervised GNN that Jointly Learns to Augment" or "Jointly Learnable Data Augmentations for Self-Superv…☆13Dec 13, 2021Updated 4 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆102Jun 28, 2021Updated 5 years ago
- [ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition☆36Feb 1, 2023Updated 3 years ago
- Floral Diffusion is a custom diffusion model trained by jags using a DD 5.6 version☆26Jul 27, 2022Updated 4 years ago
- SAM + CLIP + DIFFUSION for image to edit objects in images using plain text☆14Apr 14, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for training on Imagenet to SOTA results using PyTorch☆13Aug 22, 2026Updated 3 weeks ago
- ☆12Dec 20, 2020Updated 5 years ago
- An implementation of "Subspace Representations for Soft Set Operations and Sentence Similarities" (NAACL 2024)☆10May 31, 2024Updated 2 years ago
- ☆32Oct 20, 2022Updated 3 years ago
- Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)☆98Jul 23, 2021Updated 5 years ago
- Code for research paper "Learning a Neural Network based Representation for Open Set Recognition" M. Hassen, P. K. Chan☆26Jun 14, 2020Updated 6 years ago
- ☆11Sep 11, 2022Updated 4 years ago
- ☆13Feb 14, 2022Updated 4 years ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Oct 5, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆34Nov 22, 2022Updated 3 years ago
- A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.☆15Dec 14, 2022Updated 3 years ago
- Visual Clustering: Clustering Plotted Data by Image Segmentation☆25Feb 25, 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
- Code and experiments for the adversarial detection paper☆21Jun 11, 2021Updated 5 years ago
- Official Pytorch implementation of ACIDS, ECCV 2020 "Learning to Cluster under Domain Shift"☆15Dec 10, 2020Updated 5 years ago
- [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization☆64Dec 30, 2022Updated 3 years ago
- Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)☆25Oct 20, 2023Updated 2 years ago
- Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…☆20Sep 30, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 3 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Jul 19, 2023Updated 3 years ago
- Design space subset estimation using Bayesian algorithm execution with sklearn GP models☆25Nov 3, 2024Updated last year
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Aug 22, 2022Updated 4 years ago
- Fast and simple stream processing of files in tar files, useful for deep learning, big data, and many other applications.