ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.11114
  4. Cited By
Natural Language Descriptions of Deep Visual Features

Natural Language Descriptions of Deep Visual Features

26 January 2022
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
    MILM
ArXivPDFHTML

Papers citing "Natural Language Descriptions of Deep Visual Features"

30 / 30 papers shown
Title
Effective Skill Unlearning through Intervention and Abstention
Effective Skill Unlearning through Intervention and Abstention
Yongce Li
Chung-En Sun
Tsui-Wei Weng
MU
149
0
0
27 Mar 2025
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
Jiuding Sun
Jing Huang
Sidharth Baskaran
Karel DÓosterlinck
Christopher Potts
Michael Sklar
Atticus Geiger
AI4CE
68
0
0
13 Mar 2025
Discovering Influential Neuron Path in Vision Transformers
Discovering Influential Neuron Path in Vision Transformers
Yifan Wang
Yifei Liu
Yingdong Shi
C. Li
Anqi Pang
Sibei Yang
Jingyi Yu
Kan Ren
ViT
69
0
0
12 Mar 2025
LaVCa: LLM-assisted Visual Cortex Captioning
LaVCa: LLM-assisted Visual Cortex Captioning
Takuya Matsuyama
Shinji Nishimoto
Yu Takagi
58
0
0
20 Feb 2025
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
Adam Wojciechowski
Mateusz Lango
Ondrej Dusek
FAtt
41
0
0
30 Jul 2024
AND: Audio Network Dissection for Interpreting Deep Acoustic Models
AND: Audio Network Dissection for Interpreting Deep Acoustic Models
Tung-Yu Wu
Yu-Xiang Lin
Tsui-Wei Weng
50
1
0
24 Jun 2024
Interpreting the Second-Order Effects of Neurons in CLIP
Interpreting the Second-Order Effects of Neurons in CLIP
Yossi Gandelsman
Alexei A. Efros
Jacob Steinhardt
MILM
56
16
0
06 Jun 2024
Linear Explanations for Individual Neurons
Linear Explanations for Individual Neurons
Tuomas P. Oikarinen
Tsui-Wei Weng
FAtt
MILM
31
5
0
10 May 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
31
17
0
22 Apr 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI Audits
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
34
78
0
25 Jan 2024
MAMI: Multi-Attentional Mutual-Information for Long Sequence Neuron
  Captioning
MAMI: Multi-Attentional Mutual-Information for Long Sequence Neuron Captioning
Alfirsa Damasyifa Fauzulhaq
Wahyu Parwitayasa
Joseph A. Sugihdharma
M. F. Ridhani
N. Yudistira
28
0
0
05 Jan 2024
Describing Differences in Image Sets with Natural Language
Describing Differences in Image Sets with Natural Language
Lisa Dunlap
Yuhui Zhang
Xiaohan Wang
Ruiqi Zhong
Trevor Darrell
Jacob Steinhardt
Joseph E. Gonzalez
Serena Yeung-Levy
CoGe
VLM
32
30
0
05 Dec 2023
Labeling Neural Representations with Inverse Recognition
Labeling Neural Representations with Inverse Recognition
Kirill Bykov
Laura Kopf
Shinichi Nakajima
Marius Kloft
Marina M.-C. Höhne
BDL
21
15
0
22 Nov 2023
The Importance of Prompt Tuning for Automated Neuron Explanations
The Importance of Prompt Tuning for Automated Neuron Explanations
Justin Lee
Tuomas P. Oikarinen
Arjun Chatha
Keng-Chi Chang
Yilan Chen
Tsui-Wei Weng
LRM
22
5
0
09 Oct 2023
Towards Best Practices of Activation Patching in Language Models:
  Metrics and Methods
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang
Neel Nanda
LLMSV
30
97
0
27 Sep 2023
DeViL: Decoding Vision features into Language
DeViL: Decoding Vision features into Language
Meghal Dani
Isabel Rio-Torto
Stephan Alaniz
Zeynep Akata
VLM
40
7
0
04 Sep 2023
Identifying Interpretable Subspaces in Image Representations
Identifying Interpretable Subspaces in Image Representations
N. Kalibhat
S. Bhardwaj
Bayan Bruss
Hamed Firooz
Maziar Sanjabi
S. Feizi
FAtt
37
26
0
20 Jul 2023
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin-Xia Yu
Jianfeng Gao
MILM
26
46
0
17 May 2023
Goal Driven Discovery of Distributional Differences via Language
  Descriptions
Goal Driven Discovery of Distributional Differences via Language Descriptions
Ruiqi Zhong
Peter Zhang
Steve Li
Jinwoo Ahn
Dan Klein
Jacob Steinhardt
39
48
0
28 Feb 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
40
30
0
26 Jan 2023
Does Localization Inform Editing? Surprising Differences in
  Causality-Based Localization vs. Knowledge Editing in Language Models
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
Peter Hase
Mohit Bansal
Been Kim
Asma Ghandeharioun
MILM
34
167
0
10 Jan 2023
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
Yue Yang
Artemis Panagopoulou
Shenghao Zhou
Daniel Jin
Chris Callison-Burch
Mark Yatskar
40
211
0
21 Nov 2022
Changes from Classical Statistics to Modern Statistics and Data Science
Changes from Classical Statistics to Modern Statistics and Data Science
Kai Zhang
Shan-Yu Liu
M. Xiong
28
0
0
30 Oct 2022
Auditing Visualizations: Transparency Methods Struggle to Detect
  Anomalous Behavior
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior
Jean-Stanislas Denain
Jacob Steinhardt
AAML
33
7
0
27 Jun 2022
Measuring Self-Supervised Representation Quality for Downstream
  Classification using Discriminative Features
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features
N. Kalibhat
Kanika Narang
Hamed Firooz
Maziar Sanjabi
S. Feizi
SSL
31
7
0
03 Mar 2022
Describing Differences between Text Distributions with Natural Language
Describing Differences between Text Distributions with Natural Language
Ruiqi Zhong
Charles Burton Snell
Dan Klein
Jacob Steinhardt
VLM
124
42
0
28 Jan 2022
Robust Feature-Level Adversaries are Interpretability Tools
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper
Max Nadeau
Dylan Hadfield-Menell
Gabriel Kreiman
AAML
42
27
0
07 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
255
620
0
04 Dec 2018
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
253
1,827
0
18 Aug 2016
1