NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization

31 March 2021

Papers citing "NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization"

41 / 41 papers shown

Title
Pixel-level Certified Explanations via Randomized Smoothing Alaa Anani Tobias Lorenz Mario Fritz Bernt Schiele FAtt AAML 41 0 0 18 Jun 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 184 3 0 28 Jan 2025
Learning local discrete features in explainable-by-design convolutional neural networks Pantelis I. Kaplanoglou Konstantinos Diamantaras FAtt 99 1 0 31 Oct 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 262 0 0 10 Oct 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 87 3 0 16 Jul 2024
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 72 1 0 08 Jun 2024
How Video Meetings Change Your Expression Sumit Sarin Utkarsh Mall Purva Tendulkar Carl Vondrick CVBM 93 0 0 03 Jun 2024
Towards Explaining Hypercomplex Neural Networks Eleonora Lopez Eleonora Grassucci D. Capriotti Danilo Comminiello 98 3 0 26 Mar 2024
Explainable Transformer Prototypes for Medical Diagnoses Ugur Demir Debesh Jha Zheyu Zhang Elif Keles Bradley Allen Aggelos K. Katsaggelos Ulas Bagci MedIm 35 3 0 11 Mar 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 296 3 0 28 Dec 2023
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives Rojina Kashefi Leili Barekatain Mohammad Sabokrou Fatemeh Aghaeipoor ViT 105 10 0 12 Nov 2023
Greedy PIG: Adaptive Integrated Gradients Kyriakos Axiotis Sami Abu-El-Haija Lin Chen Matthew Fahrbach Gang Fu FAtt 60 0 0 10 Nov 2023
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 128 13 0 02 Oct 2023
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring Florent Forest Hugo Porta D. Tuia Olga Fink 85 11 0 20 Sep 2023
On Model Explanations with Transferable Neural Pathways Xinmiao Lin Wentao Bao Qi Yu Yu Kong 37 0 0 18 Sep 2023
Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach Guillaume Jeanneret Loïc Simon Frédéric Jurie DiffM 95 13 0 14 Sep 2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition Robert van der Klis Stephan Alaniz Massimiliano Mancini C. Dantas Dino Ienco Zeynep Akata Diego Marcos 84 12 0 06 Sep 2023
DeViL: Decoding Vision features into Language Meghal Dani Isabel Rio-Torto Stephan Alaniz Zeynep Akata VLM 75 8 0 04 Sep 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 81 34 0 11 Aug 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? Susu Sun Lisa M. Koch Christian F. Baumgartner 84 16 0 23 Jul 2023
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Moritz D Boehle Navdeeppal Singh Mario Fritz Bernt Schiele 157 27 0 19 Jun 2023
Probabilistic Concept Bottleneck Models Eunji Kim Dahuin Jung Sangha Park Siwon Kim Sung-Hoon Yoon 143 72 0 02 Jun 2023
Towards credible visual model interpretation with path attribution Naveed Akhtar Muhammad A. A. K. Jalwana FAtt 141 5 0 23 May 2023
Better Understanding Differences in Attribution Methods via Systematic Evaluations Sukrut Rao Moritz D Boehle Bernt Schiele XAI 93 4 0 21 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 102 29 0 17 Mar 2023
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 98 17 0 01 Mar 2023
Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay Kwan Ho Ryan Chan B. Haeffele D. Geman René Vidal DRL 106 14 0 06 Feb 2023
Neural Insights for Digital Marketing Content Design F. Kong Yuan Li Houssam Nassif Tanner Fiez Ricardo Henao Shreya Chakrabarti 3DV 58 12 0 02 Feb 2023
Holistically Explainable Vision Transformers Moritz D Boehle Mario Fritz Bernt Schiele ViT 95 9 0 20 Jan 2023
Evaluating Feature Attribution Methods for Electrocardiogram J. Suh Jimyeong Kim Euna Jung Wonjong Rhee FAtt 45 2 0 23 Nov 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 99 115 0 02 Oct 2022
Interpretable by Design: Learning Predictors by Composing Interpretable Queries Aditya Chattopadhyay Stewart Slocum B. Haeffele René Vidal D. Geman 111 24 0 03 Jul 2022
Towards Better Understanding Attribution Methods Sukrut Rao Moritz Bohle Bernt Schiele XAI 89 33 0 20 May 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 105 86 0 20 May 2022
Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention Yu Yang Seung Wook Kim Jungseock Joo FAtt 61 17 0 10 Apr 2022
Diffusion Models for Counterfactual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 118 59 0 29 Mar 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts Ying-Shuai Wanga Yunxia Liua Licong Dongc Xuzhou Wua Huabin Zhangb Qiongyu Yed Desheng Sunc Xiaobo Zhoue Kehong Yuan 59 0 0 19 Jan 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 161 119 0 06 Dec 2021
Optimising for Interpretability: Convolutional Dynamic Alignment Networks Moritz D Boehle Mario Fritz Bernt Schiele 19 2 0 27 Sep 2021
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection Jens Bayer David Munch Michael Arens 3DPC 66 4 0 26 Aug 2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets Muhammed Muzammul Xi Li ObjD 96 11 0 16 Jul 2021