Papers with Code 아카이브

Out-of-Distribution Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/czgdp1807/pTrustIntervalsOOD

공식 코드

Probabilistic Trust Intervals for Out of Distribution Detection

https://github.com/d-ailin/ssprobing

공식 코드

Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness

https://github.com/daintlab/confidence-aware-learning

공식 코드

Confidence-Aware Learning for Deep Neural Networks

https://github.com/daintlab/unknown-detection-benchmarks

공식 코드

A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks

https://github.com/davidberend/FairnessMatters

공식 코드

Fair and accurate age prediction using distribution aware data curation and augmentation

https://github.com/deeplearning-wisc/MOOD

공식 코드

MOOD: Multi-level Out-of-distribution Detection

https://github.com/deeplearning-wisc/cider

공식 코드

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

https://github.com/deeplearning-wisc/dice

공식 코드

DICE: Leveraging Sparsification for Out-of-Distribution Detection

https://github.com/deeplearning-wisc/gradnorm_ood

공식 코드

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

https://github.com/deeplearning-wisc/id_label

공식 코드

When and How Does In-Distribution Label Help Out-of-Distribution Detection?

https://github.com/deeplearning-wisc/knn-ood

공식 코드

Out-of-Distribution Detection with Deep Nearest Neighbors

https://github.com/deeplearning-wisc/large_scale_ood

공식 코드

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

https://github.com/deeplearning-wisc/mcm

공식 코드

Delving into Out-of-Distribution Detection with Vision-Language Representations

https://github.com/deeplearning-wisc/npos

공식 코드

Non-Parametric Outlier Synthesis

https://github.com/deeplearning-wisc/poem

공식 코드

POEM: Out-of-Distribution Detection with Posterior Sampling

https://github.com/deeplearning-wisc/react

공식 코드

ReAct: Out-of-distribution Detection With Rectified Activations

https://github.com/deeplearning-wisc/sal

공식 코드

How Does Unlabeled Data Provably Help Out-of-Distribution Detection?

https://github.com/deeplearning-wisc/spurious_ood

공식 코드

On the Impact of Spurious Correlation for Out-of-distribution Detection

https://github.com/delicious-ai/ddpn

공식 코드

Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks

https://github.com/devd1092/ood-skin-lesion

공식 코드

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

https://github.com/dgshin21/rna

공식 코드

Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning

https://github.com/dheeraj7596/selfood

공식 코드

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank

https://github.com/djo1996/Bayesian_Continual_Learning_And_Forgetting

공식 코드

Bayesian continual learning and forgetting in neural networks

https://github.com/dlmacedo/distinction-maximization-loss

공식 코드

Distinction Maximization Loss: Efficiently Improving Out-of-Distribution Detection and Uncertainty Estimation by Replacing the Loss and Calibrating

https://github.com/dlmacedo/entropic-out-of-distribution-detection

공식 코드

Isotropy Maximization Loss and Entropic Score: Accurate, Fast, Efficient, Scalable, and Turnkey Neural Networks Out-of-Distribution Detection Based on The Principle of Maximum Entropy

https://github.com/dlotfi/medoodflow

공식 코드

Enhancing Out-of-Distribution Detection in Medical Imaging with Normalizing Flows

https://github.com/dmadras/local-ensembles

공식 코드

Detecting Underspecification with Local Ensembles

https://github.com/donalee/DeepMCDD

공식 코드

Multi-Class Data Description for Out-of-distribution Detection

https://github.com/donghao51/multiood

공식 코드

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities

https://github.com/draym28/degem

공식 코드

Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs

https://github.com/eaaguilart/cedl

공식 코드

Continual Evidential Deep Learning for Out-of-Distribution Detection

https://github.com/edadaltocg/detectors

공식 코드

Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection

https://github.com/edadaltocg/igeood

공식 코드

Igeood: An Information Geometry Approach to Out-of-Distribution Detection

https://github.com/edadaltocg/ood-trajectory-projection

공식 코드

A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection

https://github.com/ee1s/goodat

공식 코드

GOODAT: Towards Test-time Graph Out-of-Distribution Detection

https://github.com/eerdil/task_agnostic_ood

공식 코드

Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation

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