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Language in a Bottle: Language Model Guided Concept Bottlenecks for
  Interpretable Image Classification

Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification

21 November 2022
Yue Yang
Artemis Panagopoulou
Shenghao Zhou
Daniel Jin
Chris Callison-Burch
Mark Yatskar
ArXivPDFHTML

Papers citing "Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification"

50 / 173 papers shown
Title
Tree of Attributes Prompt Learning for Vision-Language Models
Tree of Attributes Prompt Learning for Vision-Language Models
Tong Ding
Wanhua Li
Zhongqi Miao
Hanspeter Pfister
VLM
52
1
0
15 Oct 2024
MiRAGeNews: Multimodal Realistic AI-Generated News Detection
MiRAGeNews: Multimodal Realistic AI-Generated News Detection
Runsheng Huang
Liam Dugan
Y. Yang
Chris Callison-Burch
31
3
0
11 Oct 2024
Semantic Token Reweighting for Interpretable and Controllable Text
  Embeddings in CLIP
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP
Eunji Kim
Kyuhong Shim
Simyung Chang
Sungroh Yoon
CLIP
23
0
0
11 Oct 2024
Enforcing Interpretability in Time Series Transformers: A Concept
  Bottleneck Framework
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework
Angela van Sprang
Erman Acar
Willem Zuidema
AI4TS
33
1
0
08 Oct 2024
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large
  Language Models via Deciphering Attention Causality
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
Guanyu Zhou
Yibo Yan
Xin Zou
Kun Wang
Aiwei Liu
Xuming Hu
38
7
0
07 Oct 2024
Variational Language Concepts for Interpreting Foundation Language
  Models
Variational Language Concepts for Interpreting Foundation Language Models
Hengyi Wang
Shiwei Tan
Zhiqing Hong
Desheng Zhang
Hao Wang
27
3
0
04 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New
  Outlooks
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
23
3
0
03 Oct 2024
Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval
Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval
Yabing Wang
Le Wang
Qiang-feng Zhou
Zhibin Wang
Hao Li
Gang Hua
Wei Tang
33
7
0
30 Sep 2024
Image-guided topic modeling for interpretable privacy classification
Image-guided topic modeling for interpretable privacy classification
Alina Elena Baia
Andrea Cavallaro
32
0
0
27 Sep 2024
Explanation Bottleneck Models
Explanation Bottleneck Models
Shinýa Yamaguchi
Kosuke Nishida
LRM
BDL
44
1
0
26 Sep 2024
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong
Heng Wang
Dan Klein
Jacob Steinhardt
35
6
0
13 Sep 2024
Unraveling Text Generation in LLMs: A Stochastic Differential Equation
  Approach
Unraveling Text Generation in LLMs: A Stochastic Differential Equation Approach
Yukun Zhang
DiffM
19
0
0
17 Aug 2024
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary
  Concepts
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
Andong Tan
Fengtao Zhou
Hao Chen
VLM
24
3
0
05 Aug 2024
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and
  Accurate Diagnosis
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis
T. Chowdhury
Vu Minh Hieu Phan
Kewen Liao
Minh Nguyen Nhat To
Yutong Xie
A. Hengel
Johan W. Verjans
Zhibin Liao
14
1
0
04 Aug 2024
XAI meets LLMs: A Survey of the Relation between Explainable AI and
  Large Language Models
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models
Erik Cambria
Lorenzo Malandri
Fabio Mercorio
Navid Nobani
Andrea Seveso
48
11
0
21 Jul 2024
DEPICT: Diffusion-Enabled Permutation Importance for Image
  Classification Tasks
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
Sarah Jabbour
Gregory Kondas
Ella Kazerooni
Michael Sjoding
David Fouhey
Jenna Wiens
FAtt
DiffM
32
1
0
19 Jul 2024
LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction
LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction
Penghui Du
Yu Wang
Yifan Sun
Luting Wang
Yue Liao
Gang Zhang
Errui Ding
Yan Wang
Jingdong Wang
Si Liu
VLM
ObjD
33
1
0
16 Jul 2024
Open Vocabulary Multi-Label Video Classification
Open Vocabulary Multi-Label Video Classification
Rohit Gupta
Mamshad Nayeem Rizve
Jayakrishnan Unnikrishnan
Ashish Tawari
Son Tran
Mubarak Shah
Benjamin Z. Yao
Trishul M. Chilimbi
VLM
62
1
0
12 Jul 2024
Constructing Concept-based Models to Mitigate Spurious Correlations with
  Minimal Human Effort
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
Jeeyung Kim
Ze Wang
Qiang Qiu
38
1
0
12 Jul 2024
Concept Bottleneck Models Without Predefined Concepts
Concept Bottleneck Models Without Predefined Concepts
Simon Schrodi
Julian Schur
Max Argus
Thomas Brox
28
9
0
04 Jul 2024
Extracting and Encoding: Leveraging Large Language Models and Medical
  Knowledge to Enhance Radiological Text Representation
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
Pablo Messina
René Vidal
Denis Parra
Álvaro Soto
Vladimir Araujo
MedIm
56
2
0
02 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh
Quentin Bouniot
Pavlo Mozharovskyi
A. Newson
Florence dÁlché-Buc
SSL
53
1
0
01 Jul 2024
Evidential Concept Embedding Models: Towards Reliable Concept
  Explanations for Skin Disease Diagnosis
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
Yibo Gao
Zheyao Gao
Xin Gao
Yuanye Liu
Bomin Wang
Xiahai Zhuang
26
1
0
27 Jun 2024
Towards Compositionality in Concept Learning
Towards Compositionality in Concept Learning
Adam Stein
Aaditya Naik
Yinjun Wu
Mayur Naik
Eric Wong
CoGe
37
2
0
26 Jun 2024
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory
Yukun Zhang
Qi Dong
34
0
0
23 Jun 2024
Reading Is Believing: Revisiting Language Bottleneck Models for Image
  Classification
Reading Is Believing: Revisiting Language Bottleneck Models for Image Classification
Honori Udo
Takafumi Koshinaka
VLM
32
0
0
22 Jun 2024
Self-supervised Interpretable Concept-based Models for Text
  Classification
Self-supervised Interpretable Concept-based Models for Text Classification
Francesco De Santis
Philippe Bich
Gabriele Ciravegna
Pietro Barbiero
Danilo Giordano
Tania Cerquitelli
26
0
0
20 Jun 2024
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations
  for Vision Foundation Models
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
Hengyi Wang
Shiwei Tan
Hao Wang
BDL
27
6
0
18 Jun 2024
Neural Concept Binder
Neural Concept Binder
Wolfgang Stammer
Antonia Wüst
David Steinmann
Kristian Kersting
OCL
29
4
0
14 Jun 2024
Conceptual Learning via Embedding Approximations for Reinforcing
  Interpretability and Transparency
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
Maor Dikter
Tsachi Blau
Chaim Baskin
33
0
0
13 Jun 2024
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery
Kam Woh Ng
Xiatian Zhu
Yi-Zhe Song
Tao Xiang
33
2
0
12 Jun 2024
Aligning Human Knowledge with Visual Concepts Towards Explainable
  Medical Image Classification
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification
Yunhe Gao
Difei Gu
Mu Zhou
Dimitris N. Metaxas
30
4
0
08 Jun 2024
PaCE: Parsimonious Concept Engineering for Large Language Models
PaCE: Parsimonious Concept Engineering for Large Language Models
Jinqi Luo
Tianjiao Ding
Kwan Ho Ryan Chan
D. Thaker
Aditya Chattopadhyay
Chris Callison-Burch
René Vidal
CVBM
35
7
0
06 Jun 2024
Exploiting LMM-based knowledge for image classification tasks
Exploiting LMM-based knowledge for image classification tasks
Maria Tzelepi
Vasileios Mezaris
VLM
30
3
0
05 Jun 2024
I Bet You Did Not Mean That: Testing Semantic Importance via Betting
I Bet You Did Not Mean That: Testing Semantic Importance via Betting
Jacopo Teneggi
Jeremias Sulam
FAtt
23
1
0
29 May 2024
LLM-based Hierarchical Concept Decomposition for Interpretable
  Fine-Grained Image Classification
LLM-based Hierarchical Concept Decomposition for Interpretable Fine-Grained Image Classification
Renyi Qu
Mark Yatskar
24
1
0
29 May 2024
Crafting Interpretable Embeddings by Asking LLMs Questions
Crafting Interpretable Embeddings by Asking LLMs Questions
Vinamra Benara
Chandan Singh
John X. Morris
Richard Antonello
Ion Stoica
Alexander G. Huth
Jianfeng Gao
19
5
0
26 May 2024
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection
Yuwei Niu
Shuo He
Qi Wei
Feng Liu
Lei Feng
AAML
33
1
0
24 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image
  Analysis
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
43
3
0
23 May 2024
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data
  Efficiency and Robustness in Mammography
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
Shantanu Ghosh
Clare B. Poynton
Shyam Visweswaran
Kayhan Batmanghelich
VLM
32
8
0
20 May 2024
Incorporating Clinical Guidelines through Adapting Multi-modal Large
  Language Model for Prostate Cancer PI-RADS Scoring
Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
Tiantian Zhang
Manxi Lin
Hongda Guo
Xiaofan Zhang
Ka Fung Peter Chiu
Aasa Feragen
Qi Dou
29
1
0
14 May 2024
Can Better Text Semantics in Prompt Tuning Improve VLM Generalization?
Can Better Text Semantics in Prompt Tuning Improve VLM Generalization?
Hari Chandana Kuchibhotla
Sai Srinivas Kancheti
Abbavaram Gowtham Reddy
Vineeth N. Balasubramanian
VLM
29
0
0
13 May 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models
Navigating the Future of Federated Recommendation Systems with Foundation Models
Zhiwei Li
Guodong Long
Chunxu Zhang
Honglei Zhang
Jing Jiang
Chengqi Zhang
105
0
0
12 May 2024
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
Nithish Muthuchamy Selvaraj
Xiaobao Guo
Bingquan Shen
A. Kong
Alex C. Kot
VLM
37
0
0
03 May 2024
Improving Intervention Efficacy via Concept Realignment in Concept
  Bottleneck Models
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Nishad Singhi
Jae Myung Kim
Karsten Roth
Zeynep Akata
38
1
0
02 May 2024
Leveraging Cross-Modal Neighbor Representation for Improved CLIP
  Classification
Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
Chao Yi
Lu Ren
De-Chuan Zhan
Han-Jia Ye
CLIP
VLM
18
5
0
27 Apr 2024
Embracing Diversity: Interpretable Zero-shot classification beyond one
  vector per class
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class
Mazda Moayeri
Michael G. Rabbat
Mark Ibrahim
Diane Bouchacourt
VLM
41
1
0
25 Apr 2024
A Multimodal Automated Interpretability Agent
A Multimodal Automated Interpretability Agent
Tamar Rott Shaham
Sarah Schwettmann
Franklin Wang
Achyuta Rajaram
Evan Hernandez
Jacob Andreas
Antonio Torralba
26
17
0
22 Apr 2024
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts
Yuan Zang
Tian Yun
Hao Tan
Trung Bui
Chen Sun
VLM
CoGe
45
9
0
19 Apr 2024
Incremental Residual Concept Bottleneck Models
Incremental Residual Concept Bottleneck Models
Chenming Shang
Shiji Zhou
Hengyuan Zhang
Xinzhe Ni
Yujiu Yang
Yuwang Wang
29
14
0
13 Apr 2024
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