Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2212.10537
Cited By
v1
v2 (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
VLM
OCL
CoGe
Re-assign community
ArXiv (abs)
PDF
HTML
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
Conference 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
Martha Lewis
CoGe
171
1
0
10 Jan 2024
FoMo Rewards: Can we cast foundation models as reward functions?
Ekdeep Singh Lubana
Johann Brehmer
P. D. Haan
Taco S. Cohen
OffRL
LRM
199
4
0
06 Dec 2023
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
International 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
Sai Saketh Rambhatla
Ishan Misra
EGVM
149
6
0
17 Nov 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Neural Information Processing Systems (NeurIPS), 2023
Maya Okawa
Ekdeep Singh Lubana
Robert P. Dick
Hidenori Tanaka
CoGe
DiffM
425
81
0
13 Oct 2023
Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models
International 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
Conference 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?
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
European Conference on Computer Vision (ECCV), 2023
Wentao Bao
Lichang Chen
Heng-Chiao Huang
Yu Kong
CoGe
VLM
297
33
0
23 May 2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers
Neural Information Processing Systems (NeurIPS), 2023
Kevin Clark
P. Jaini
DiffM
VLM
316
146
0
27 Mar 2023
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
Conference 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
B. Coecke
M. Sadrzadeh
S. Clark
CoGe
328
591
0
23 Mar 2010
Previous
1
2