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Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
v1v2 (latest)

Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

Findings (Findings), 2022
20 December 2022
Martha Lewis
Nihal V. Nayak
Peilin Yu
Qinan Yu
Jack Merullo
Stephen H. Bach
Ellie Pavlick
    VLMOCLCoGe
ArXiv (abs)PDFHTML

Papers citing "Does CLIP Bind Concepts? Probing Compositionality in Large Image Models"

14 / 64 papers shown
Title
Generalized People Diversity: Learning a Human Perception-Aligned
  Diversity Representation for People Images
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People ImagesConference on Fairness, Accountability and Transparency (FAccT), 2024
Hansa Srinivasan
Candice Schumann
Aradhana Sinha
David Madras
Gbolahan O. Olanubi
Alex Beutel
Susanna Ricco
Jilin Chen
209
6
0
25 Jan 2024
Grounded learning for compositional vector semantics
Grounded learning for compositional vector semantics
Martha Lewis
CoGe
171
1
0
10 Jan 2024
FoMo Rewards: Can we cast foundation models as reward functions?
FoMo Rewards: Can we cast foundation models as reward functions?
Ekdeep Singh Lubana
Johann Brehmer
P. D. Haan
Taco S. Cohen
OffRLLRM
199
4
0
06 Dec 2023
Compositional Capabilities of Autoregressive Transformers: A Study on
  Synthetic, Interpretable Tasks
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable TasksInternational Conference on Machine Learning (ICML), 2023
Rahul Ramesh
Ekdeep Singh Lubana
Mikail Khona
Robert P. Dick
Hidenori Tanaka
CoGe
253
13
0
21 Nov 2023
SelfEval: Leveraging the discriminative nature of generative models for
  evaluation
SelfEval: Leveraging the discriminative nature of generative models for evaluation
Sai Saketh Rambhatla
Ishan Misra
EGVM
149
6
0
17 Nov 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic TaskNeural Information Processing Systems (NeurIPS), 2023
Maya Okawa
Ekdeep Singh Lubana
Robert P. Dick
Hidenori Tanaka
CoGeDiffM
425
81
0
13 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling
  Vision-Language Models
Visual Data-Type Understanding does not emerge from Scaling Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Vishaal Udandarao
Max F. Burg
Samuel Albanie
Matthias Bethge
VLM
258
11
0
12 Oct 2023
Goal Representations for Instruction Following: A Semi-Supervised
  Language Interface to Control
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to ControlConference on Robot Learning (CoRL), 2023
Vivek Myers
Andre Wang He
Kuan Fang
Homer Walke
Philippe Hansen-Estruch
Ching-An Cheng
Mihai Jalobeanu
Andrey Kolobov
Anca Dragan
Sergey Levine
LM&Ro
356
38
0
30 Jun 2023
Are Diffusion Models Vision-And-Language Reasoners?
Are Diffusion Models Vision-And-Language Reasoners?Neural Information Processing Systems (NeurIPS), 2023
Benno Krojer
Elinor Poole-Dayan
Vikram S. Voleti
Christopher Pal
Siva Reddy
416
17
0
25 May 2023
Prompting Language-Informed Distribution for Compositional Zero-Shot
  Learning
Prompting Language-Informed Distribution for Compositional Zero-Shot LearningEuropean Conference on Computer Vision (ECCV), 2023
Wentao Bao
Lichang Chen
Heng-Chiao Huang
Yu Kong
CoGeVLM
297
33
0
23 May 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Text-to-Image Diffusion Models are Zero-Shot ClassifiersNeural Information Processing Systems (NeurIPS), 2023
Kevin Clark
P. Jaini
DiffMVLM
316
146
0
27 Mar 2023
ConceptFusion: Open-set Multimodal 3D Mapping
ConceptFusion: Open-set Multimodal 3D Mapping
Krishna Murthy Jatavallabhula
Ali Kuwajerwala
Qiao Gu
Mohd. Omama
Tao Chen
...
Celso Miguel de Melo
Madhava Krishna
Liam Paull
Florian Shkurti
Antonio Torralba
506
311
0
14 Feb 2023
When are Lemons Purple? The Concept Association Bias of Vision-Language
  Models
When are Lemons Purple? The Concept Association Bias of Vision-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yutaro Yamada
Yingtian Tang
Yoyo Zhang
Ilker Yildirim
CoGe
233
21
0
22 Dec 2022
Mathematical Foundations for a Compositional Distributional Model of
  Meaning
Mathematical Foundations for a Compositional Distributional Model of Meaning
B. Coecke
M. Sadrzadeh
S. Clark
CoGe
328
591
0
23 Mar 2010
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