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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"

23 / 173 papers shown
Title
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream
  Tasks
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks
Denis Coquenet
Clément Rambour
Emanuele Dalsasso
Nicolas Thome
MLLM
CLIP
VLM
19
1
0
13 Jul 2023
Text Descriptions are Compressive and Invariant Representations for
  Visual Learning
Text Descriptions are Compressive and Invariant Representations for Visual Learning
Zhili Feng
Anna Bair
J. Zico Kolter
VLM
22
6
0
10 Jul 2023
DesCo: Learning Object Recognition with Rich Language Descriptions
DesCo: Learning Object Recognition with Rich Language Descriptions
Liunian Harold Li
Zi-Yi Dou
Nanyun Peng
Kai-Wei Chang
ObjD
VLM
19
20
0
24 Jun 2023
In-Context Impersonation Reveals Large Language Models' Strengths and
  Biases
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Leonard Salewski
Stephan Alaniz
Isabel Rio-Torto
Eric Schulz
Zeynep Akata
22
148
0
24 May 2023
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual
  Question Answering
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering
Xingyu Fu
Ben Zhou
Sihao Chen
Mark Yatskar
Dan Roth
LRM
26
0
0
24 May 2023
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based
  Text-to-Image Generation by Selection
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection
Shyamgopal Karthik
Karsten Roth
Massimiliano Mancini
Zeynep Akata
24
20
0
22 May 2023
Learning Interpretable Style Embeddings via Prompting LLMs
Learning Interpretable Style Embeddings via Prompting LLMs
Ajay Patel
D. Rao
Ansh Kothary
Kathleen McKeown
Chris Callison-Burch
27
23
0
22 May 2023
HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with
  Cross-person Memory Transformer
HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with Cross-person Memory Transformer
Y. Kim
Dong Won Lee
Paul Pu Liang
Sharifa Alghowinem
C. Breazeal
Hae Won Park
30
4
0
21 May 2023
Human Uncertainty in Concept-Based AI Systems
Human Uncertainty in Concept-Based AI Systems
Katherine M. Collins
Matthew Barker
M. Zarlenga
Naveen Raman
Umang Bhatt
M. Jamnik
Ilia Sucholutsky
Adrian Weller
Krishnamurthy Dvijotham
58
39
0
22 Mar 2023
Augmenting Interpretable Models with LLMs during Training
Augmenting Interpretable Models with LLMs during Training
Chandan Singh
Armin Askari
R. Caruana
Jianfeng Gao
23
37
0
23 Sep 2022
What does a platypus look like? Generating customized prompts for
  zero-shot image classification
What does a platypus look like? Generating customized prompts for zero-shot image classification
Sarah M Pratt
Ian Covert
Rosanne Liu
Ali Farhadi
VLM
121
212
0
07 Sep 2022
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
133
183
0
31 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
390
4,110
0
28 Jan 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
196
116
0
26 Jan 2022
Medical Visual Question Answering: A Survey
Medical Visual Question Answering: A Survey
Zhihong Lin
Donghao Zhang
Qingyi Tao
Danli Shi
Gholamreza Haffari
Qi Wu
M. He
Z. Ge
19
112
0
19 Nov 2021
Can Language Models be Biomedical Knowledge Bases?
Can Language Models be Biomedical Knowledge Bases?
Mujeen Sung
Jinhyuk Lee
Sean S. Yi
Minji Jeon
Sungdong Kim
Jaewoo Kang
AI4MH
112
105
0
15 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,249
0
02 Sep 2021
Revisiting Document Representations for Large-Scale Zero-Shot Learning
Revisiting Document Representations for Large-Scale Zero-Shot Learning
Jihyung Kil
Wei-Lun Chao
VLM
40
10
0
21 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
293
3,683
0
11 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,913
0
31 Dec 2020
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
137
656
0
28 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,584
0
21 Jan 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
406
2,576
0
03 Sep 2019
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