https://github.com/deepsense-ai/unblackboxing_webinar
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Papers with Code 아카이브
Interpretability Techniques for Deep Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 14
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dtanoglidis/DeepShadows
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/eclique/keras-gradcam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/emanuel-metzenthin/lime-for-time
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
https://github.com/fcUalberta/UAlberta-Multimedia-Masters-Program-Interpretable-AI-Part_1_2
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/fitushar/3D-Grad-CAM
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/foundation-model-research/DiffLens
Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
https://github.com/frgfm/torch-cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/ftorres11/saliencysense
RISE: Randomized Input Sampling for Explanation of Black-box Models
https://github.com/g8a9/ferret
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/gablabc/shap
https://github.com/galdeia/iirsbenchmark
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
https://github.com/garygsw/smooth-taylor
https://github.com/gshashank84/CheXNet
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/hannamw/eap-ig
https://github.com/hieu2906090/deep-learning-in-js
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
https://github.com/hs2k/pytorch-smoothgrad
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/hysts/pytorch_D-RISE
RISE: Randomized Input Sampling for Explanation of Black-box Models
https://github.com/iancovert/shapley-regression
https://github.com/idiap/fullgrad-saliency
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/isaaccasm/GradCAM-keras
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/ismailuddin/gradcam-tensorflow-2
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/itanvir/gradcam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/jacobgil/keras-grad-cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/jacobgil/pytorch-grad-cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/janhavi-giri/Explainable_ML_Classifier_LIME
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
https://github.com/jankrepl/mildlyoverfitted
https://github.com/jannik-brinkmann/multilingual-features
CausalGym: Benchmarking causal interpretability methods on linguistic tasks
https://github.com/jemilc/shap
https://github.com/jmvuilla/classification
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/jordan-bird/synthetic-fruit-image-generator
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/kalelpark/Mixture-of-Granularity-Specific-Experts-for-Fine-Grained-Categorization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/karandesaiii/CheXNet
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/kazuto1011/grad-cam-pytorch
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/kjczarne/eager_gradcam_tf
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/koren-v/Interpret
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.