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 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
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14May 23, 2021Updated 5 years ago
- ☆13Jun 7, 2020Updated 6 years ago
- source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"☆326Oct 1, 2023Updated 2 years ago
- ☆71Dec 19, 2018Updated 7 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.
- ☆21Apr 6, 2021Updated 5 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Sep 28, 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☆26Jan 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
- Self-Supervised Domain Adaptation with Consistency Training☆20Oct 28, 2020Updated 5 years ago
- Floral Diffusion is a custom diffusion model trained by jags using a DD 5.6 version☆26Jul 27, 2022Updated 3 years ago
- This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutio…☆61Jul 16, 2022Updated 4 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.
- Learning Transferable Parameters for Unsupervised Domain Adaptation☆16Aug 11, 2021Updated 4 years ago
- ☆11Dec 20, 2020Updated 5 years ago
- ☆32Oct 20, 2022Updated 3 years ago
- Learning Placeholders for Open-Set Recognition (CVPR'21 Oral)☆98Jul 23, 2021Updated 4 years ago
- ☆11Sep 11, 2022Updated 3 years ago
- 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
- Predicting Out-of-Distribution Error with the Projection Norm☆19Jul 27, 2022Updated 3 years ago
- Visual Clustering: Clustering Plotted Data by Image Segmentation☆25Feb 25, 2025Updated last year
- 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 released for our TIP 2021 paper "Adversarial Domain Adaptation with Prototype-based Normalized Output Conditioner"☆15May 24, 2023Updated 3 years ago
- 📱🖥 Basic UI: Mobile + Web☆13Nov 22, 2017Updated 8 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
- Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)☆24Oct 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
- 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
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Aug 22, 2022Updated 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.
- Fast and simple stream processing of files in tar files, useful for deep learning, big data, and many other applications.☆138Dec 10, 2023Updated 2 years ago
- RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP☆254Feb 6, 2023Updated 3 years ago
- A Two Stage Adaptation Network (TSAN) for remote sensing images classification under single-source-mixed-multiple-target domain adaptatio…☆16Jan 11, 2023Updated 3 years ago
- Codes for our CVPR 2021 paper "Deep Compositional Metric Learning"☆21Aug 23, 2021Updated 4 years ago
- Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".☆22Jun 12, 2023Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Nov 7, 2021Updated 4 years ago
- SuperpixelGridMasks is an approach for sensor-based data augmentation towards image classification tasks and so on.☆14Jan 18, 2023Updated 3 years ago