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Out-of-Distribution Detection

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하위 태스크: 0
평가표: 53
보존된 평가 기록: 269

Detect out-of-distribution or anomalous examples.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ShannonAI/kfolden-ood-detection

공식 코드

$k$Folden: $k$-Fold Ensemble for Out-Of-Distribution Detection

https://github.com/Sharath-girish/openworld-gan

공식 코드

Towards Discovery and Attribution of Open-world GAN Generated Images

https://github.com/ShenzhiYang2000/NODESAFE-Bounded-and-Uniform-Energy-based-Out-of-distribution-Detection-for-Graphs

공식 코드

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs

https://github.com/Sushil-Thapa/Abstention-OoD

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An Effective Baseline for Robustness to Distributional Shift

https://github.com/TienjinHuang/UGTs-LoG

공식 코드

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets

https://github.com/UmarKhalidcs/RODD

공식 코드

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection

https://github.com/VLL-HD/FrEIA

공식 코드

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification

https://github.com/VMBoehm/PAE

공식 코드

Probabilistic Autoencoder

https://github.com/Vastlab/SSFiOWL

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Self-Supervised Features Improve Open-World Learning

https://github.com/VectorInstitute/gram-ood-detection

공식 코드

Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices

https://github.com/WNJXYK/DeCoOp

공식 코드

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection

https://github.com/X1AOX1A/SeTAR

공식 코드

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation

https://github.com/XavierXiao/Likelihood-Regret

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Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder

https://github.com/a-vzer/waveletflowpytorch

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Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows

https://github.com/aangelopoulos/conformal-prediction

공식 코드

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

https://github.com/adaptivemotorcontrollab/aros

공식 코드

Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings

https://github.com/ahsanMah/msma

공식 코드

Multiscale Score Matching for Out-of-Distribution Detection

https://github.com/aidan-curtis/goflow

공식 코드

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills

https://github.com/aiml-ifi/openset-imagenet

공식 코드

Large-Scale Open-Set Classification Protocols for ImageNet

https://github.com/aitor-martinez-seras/ood_on_snns

공식 코드

A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks

https://github.com/alainjungo/ipcai23-iioct-ood

공식 코드

Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery

https://github.com/alessandro-canevaro/KAN-OOD

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Advancing Out-of-Distribution Detection via Local Neuroplasticity

https://github.com/alibaba/catex

공식 코드

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions

https://github.com/alibaba/imood

공식 코드

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution

https://github.com/alinlab/CSI

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CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances

https://github.com/alsace08/ood-math-reasoning

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Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning

https://github.com/alvinzhuyx/cdrl

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Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood

https://github.com/amazon-research/dse

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Learning Dialogue Representations from Consecutive Utterances

https://github.com/amazon-research/long-tailed-ood-detection

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Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition

https://github.com/andrespollano/neural_nets-tda

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Detecting out-of-distribution text using topological features of transformer-based language models

https://github.com/andrijazz/ash

공식 코드

Extremely Simple Activation Shaping for Out-of-Distribution Detection

https://github.com/andrijazz/lts

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Logit Scaling for Out-of-Distribution Detection

https://github.com/anonymous-author-sub/seeable

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SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes

https://github.com/anonymousoodauthor/abet

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Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy

https://github.com/antoinedemathelin/maxwent-expe

공식 코드

Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization

https://github.com/antonbaumann/mimo-unet

공식 코드

Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.