Network Dissection: Quantifying Interpretability of Deep Visual Representations

19 April 2017

Antonio Torralba

Papers citing "Network Dissection: Quantifying Interpretability of Deep Visual Representations"

50 / 842 papers shown

Improving Generalization of Image Captioning with Unsupervised Prompt Learning

Hongchen Wei

Zhenzhong Chen

VLM

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A Multidimensional Analysis of Social Biases in Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2023

Jannik Brinkmann

Paul Swoboda

Christian Bartelt

200

03 Aug 2023

Multimodal Neurons in Pretrained Text-Only Transformers

Antonio Torralba

266

03 Aug 2023

Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy

177

26 Jul 2023

Do humans and Convolutional Neural Networks attend to similar areas during scene classification: Effects of task and image typeApplied Sciences (Appl. Sci.), 2023

228

25 Jul 2023

Identifying Interpretable Subspaces in Image RepresentationsInternational Conference on Machine Learning (ICML), 2023

299

20 Jul 2023

The semantic landscape paradigm for neural networks

Shreyas Gokhale

304

18 Jul 2023

Uncovering Unique Concept Vectors through Latent Space Decomposition

243

13 Jul 2023

Scale Alone Does not Improve Mechanistic Interpretability in Vision ModelsNeural Information Processing Systems (NeurIPS), 2023

Roland S. Zimmermann

Thomas Klein

Wieland Brendel

283

11 Jul 2023

Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A SurveyIEEE Transactions on Intelligent Vehicles (TIV), 2023

Pranav Singh Chib

Pravendra Singh

350

221

10 Jul 2023

Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance

Shantanu Ghosh

Kayhan Batmanghelich

215

07 Jul 2023

AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation

Yunqing Zhao

Keshigeyan Chandrasegaran

459

04 Jul 2023

Rosetta Neurons: Mining the Common Units in a Model ZooIEEE International Conference on Computer Vision (ICCV), 2023

231

15 Jun 2023

On the Joint Interaction of Models, Data, and FeaturesInternational Conference on Learning Representations (ICLR), 2023

Yiding Jiang

Christina Baek

J. Zico Kolter

FedML

182

07 Jun 2023

Don't trust your eyes: on the (un)reliability of feature visualizationsInternational Conference on Machine Learning (ICML), 2023

Wieland Brendel

468

07 Jun 2023

Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research

Timo Freiesleben

Gunnar Konig

153

07 Jun 2023

(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Comprehensibility

Kacper Sokol

Julia E. Vogt

248

04 Jun 2023

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion PriorsNeural Information Processing Systems (NeurIPS), 2023

...

Tanishq Mathew Abraham

DiffM

419

191

29 May 2023

On the special role of class-selective neurons in early training

191

27 May 2023

Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

Felix Jimenez

Matthias Katzfuss

BDL UQCV

353

26 May 2023

On the Impact of Knowledge Distillation for Model InterpretabilityInternational Conference on Machine Learning (ICML), 2023

222

25 May 2023

Explaining black box text modules in natural language with language models

274

17 May 2023

Towards Visual Saliency Explanations of Face VerificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

Yuhang Lu

Zewei Xu

Touradj Ebrahimi

FAtt XAI CVBM

175

15 May 2023

Similarity of Neural Network Models: A Survey of Functional and Representational MeasuresACM Computing Surveys (ACM Comput. Surv.), 2023

555

108

10 May 2023

Towards the Characterization of Representations Learned via Capsule-based Network ArchitecturesNeurocomputing (Neurocomputing), 2023

Saja AL-Tawalbeh

José Oramas

220

09 May 2023

DBAT: Dynamic Backward Attention Transformer for Material Segmentation with Cross-Resolution Patches

Yuwen Heng

S. Dasmahapatra

Hansung Kim

216

06 May 2023

Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models

245

03 May 2023

Finding Neurons in a Haystack: Case Studies with Sparse Probing

533

289

02 May 2023

Discover and Cure: Concept-aware Mitigation of Spurious CorrelationInternational Conference on Machine Learning (ICML), 2023

Shirley Wu

Mert Yuksekgonul

Linjun Zhang

James Zou

349

01 May 2023

Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based
Comparison of Feature Spaces

179

30 Apr 2023

Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability

229

28 Apr 2023

Concept-Monitor: Understanding DNN training through individual neurons

Mohammad Ali Khan

Tuomas P. Oikarinen

Tsui-Wei Weng

232

26 Apr 2023

Learning Bottleneck Concepts in Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2023

253

20 Apr 2023

Disentangling Neuron Representations with Concept Vectors

176

19 Apr 2023

Exploring Incompatible Knowledge Transfer in Few-shot Image GenerationComputer Vision and Pattern Recognition (CVPR), 2023

242

15 Apr 2023

MLOps Spanning Whole Machine Learning Life Cycle: A Survey

...

167

13 Apr 2023

ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image ClassificationNeural Information Processing Systems (NeurIPS), 2023

Mohammad Reza Taesiri

337

11 Apr 2023

Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition

170

05 Apr 2023

MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera ConfigurationsSymposium on Networked Systems Design and Implementation (NSDI), 2023

244

04 Apr 2023

Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiersAAAI Conference on Artificial Intelligence (AAAI), 2023

Naveed Akhtar

M. Jalwana

FAtt AAML

165

31 Mar 2023

Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network

291

29 Mar 2023

UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs

202

27 Mar 2023

Analyzing Effects of Mixed Sample Data Augmentation on Model InterpretabilityNeural Networks (Neural Netw.), 2023

Soyoun Won

Sung-Ho Bae

Seong Tae Kim

221

26 Mar 2023

LINe: Out-of-Distribution Detection by Leveraging Important NeuronsComputer Vision and Pattern Recognition (CVPR), 2023

303

24 Mar 2023

Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail DataInternational Conference on Learning Representations (ICLR), 2023

Anna Kukleva

Moritz Bohle

Bernt Schiele

Hilde Kuehne

Christian Rupprecht

256

23 Mar 2023

Take 5: Interpretable Image Classification with a Handful of Features

285

23 Mar 2023

Unsupervised Interpretable Basis Extraction for Concept-Based Visual ExplanationsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023

Alexandros Doumanoglou

S. Asteriadis

D. Zarpalas

FAtt SSL

216

19 Mar 2023

DeepSeer: Interactive RNN Explanation and Debugging via State AbstractionInternational Conference on Human Factors in Computing Systems (CHI), 2023

202

02 Mar 2023

SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective

331

01 Mar 2023

Does a Neural Network Really Encode Symbolic Concepts?International Conference on Machine Learning (ICML), 2023

Mingjie Li

Quanshi Zhang

307

25 Feb 2023