Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency

13 June 2024

Papers citing "Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency"

48 / 48 papers shown

Title
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning Andrei Semenov Vladimir Ivanov Aleksandr Beznosikov Alexander Gasnikov 60 6 0 04 Apr 2024
On the Concept Trustworthiness in Concept Bottleneck Models Qihan Huang Mingli Song Jingwen Hu Haofei Zhang Yong Wang Mingli Song 74 11 0 21 Mar 2024
CEIR: Concept-based Explainable Image Representation Learning Yan Cui Shuhong Liu Liuzhuozheng Li Zhiyuan Yuan SSL VLM 46 3 0 17 Dec 2023
CLIP-QDA: An Explainable Concept Bottleneck Model Rémi Kazmierczak Eloise Berthier Goran Frehse Gianni Franchi 52 7 0 30 Nov 2023
Interpreting Pretrained Language Models via Concept Bottlenecks Zhen Tan Lu Cheng Song Wang Yuan Bo Wenlin Yao Huan Liu LRM 68 24 0 08 Nov 2023
Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification In-Ho Kim Jongha Kim Joon-Young Choi Hyunwoo J. Kim 49 14 0 23 Aug 2023
Learning Concise and Descriptive Attributes for Visual Recognition Andy Yan Yu Wang Yiwu Zhong Chengyu Dong Zexue He Yujie Lu William Wang Jingbo Shang Julian McAuley VLM 92 63 0 07 Aug 2023
GIST: Generating Image-Specific Text for Fine-grained Object Classification Kathleen M. Lewis Emily Mu Adrian Dalca John Guttag VLM 41 7 0 21 Jul 2023
Text Descriptions are Compressive and Invariant Representations for Visual Learning Zhili Feng Anna Bair J. Zico Kolter VLM 48 6 0 10 Jul 2023
DesCo: Learning Object Recognition with Rich Language Descriptions Liunian Harold Li Zi-Yi Dou Nanyun Peng Kai-Wei Chang ObjD VLM 62 22 0 24 Jun 2023
Probabilistic Concept Bottleneck Models Eunji Kim Dahuin Jung Sangha Park Siwon Kim Sung-Hoon Yoon 121 70 0 02 Jun 2023
Label-Free Concept Bottleneck Models Tuomas P. Oikarinen Subhro Das Lam M. Nguyen Tsui-Wei Weng 86 177 0 12 Apr 2023
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering Yushi Hu Benlin Liu Jungo Kasai Yizhong Wang Mari Ostendorf Ranjay Krishna Noah A. Smith EGVM 65 237 0 21 Mar 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.5K 14,631 0 15 Mar 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 1.5K 13,420 0 27 Feb 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 429 4,563 0 30 Jan 2023
Interactive Concept Bottleneck Models Kushal Chauhan Rishabh Tiwari Jan Freyberg Pradeep Shenoy Krishnamurthy Dvijotham 58 55 0 14 Dec 2022
Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions J. Lockhart Daniele Magazzeni Manuela Veloso 32 4 0 21 Nov 2022
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification Yue Yang Artemis Panagopoulou Shenghao Zhou Daniel Jin Chris Callison-Burch Mark Yatskar 116 232 0 21 Nov 2022
Visual Classification via Description from Large Language Models Sachit Menon Carl Vondrick VLM 64 302 0 13 Oct 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 96 86 0 20 May 2022
All You May Need for VQA are Image Captions Soravit Changpinyo Doron Kukliansky Idan Szpektor Xi Chen Nan Ding Radu Soricut 61 73 0 04 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac Jeff Donahue Pauline Luc Antoine Miech Iain Barr ... Mikolaj Binkowski Ricardo Barreira Oriol Vinyals Andrew Zisserman Karen Simonyan MLLM VLM 418 3,585 0 29 Apr 2022
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks Fawaz Sammani Tanmoy Mukherjee Nikos Deligiannis MILM ELM LRM 101 68 0 09 Mar 2022
Concept Bottleneck Model with Additional Unsupervised Concepts Yoshihide Sawada Keigo Nakamura SSL 64 73 0 03 Feb 2022
LaMDA: Language Models for Dialog Applications R. Thoppilan Daniel De Freitas Jamie Hall Noam M. Shazeer Apoorv Kulshreshtha ... Blaise Aguera-Arcas Claire Cui M. Croak Ed H. Chi Quoc Le ALM 137 1,600 0 20 Jan 2022
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,731 0 26 Feb 2021
Neural Prototype Trees for Interpretable Fine-grained Image Recognition Meike Nauta Ron van Bree C. Seifert 148 269 0 03 Dec 2020
On Explaining Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 79 88 0 21 Oct 2020
Concept Bottleneck Models Pang Wei Koh Thao Nguyen Y. S. Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang 99 828 0 09 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 658 18,276 0 19 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 826 42,332 0 28 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 446 10,591 0 17 Feb 2020
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Mehdi Neshat Zifan Wang Bradley Alexander Fan Yang Zijian Zhang Sirui Ding Markus Wagner Xia Hu FAtt 93 1,074 0 03 Oct 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu Dhruv Batra Devi Parikh Stefan Lee SSL VLM 231 3,693 0 06 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,954 0 12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 115 418 0 17 May 2019
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park Lisa Anne Hendricks Zeynep Akata Anna Rohrbach Bernt Schiele Trevor Darrell Marcus Rohrbach 78 422 0 15 Feb 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 112 2,306 0 30 Oct 2017
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation S. Tan R. Caruana Giles Hooker Yin Lou MLAU 106 186 0 17 Oct 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,879 0 10 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 321 20,070 0 07 Oct 2016
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller Wojciech Samek FAtt 77 462 0 04 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,326 0 14 Dec 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,197 0 21 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,005 0 12 Mar 2015