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Attribute Diversity Determines the Systematicity Gap in VQA
v1v2 (latest)

Attribute Diversity Determines the Systematicity Gap in VQA

15 November 2023
Ian Berlot-Attwell
Kumar Krishna Agrawal
A. M. Carrell
Yash Sharma
Naomi Saphra
ArXiv (abs)PDFHTML

Papers citing "Attribute Diversity Determines the Systematicity Gap in VQA"

20 / 20 papers shown
Title
Diverse Demonstrations Improve In-context Compositional Generalization
Diverse Demonstrations Improve In-context Compositional Generalization
Itay Levy
Ben Bogin
Jonathan Berant
87
146
0
13 Dec 2022
Mutual Exclusivity Training and Primitive Augmentation to Induce
  Compositionality
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality
Yichen Jiang
Xiang Zhou
Joey Tianyi Zhou
75
10
0
28 Nov 2022
Measuring and Narrowing the Compositionality Gap in Language Models
Measuring and Narrowing the Compositionality Gap in Language Models
Ofir Press
Muru Zhang
Sewon Min
Ludwig Schmidt
Noah A. Smith
M. Lewis
ReLMKELMLRM
202
643
0
07 Oct 2022
Revisiting the Compositional Generalization Abilities of Neural Sequence
  Models
Revisiting the Compositional Generalization Abilities of Neural Sequence Models
Arkil Patel
S. Bhattamishra
Phil Blunsom
Navin Goyal
BDLCoGe
71
32
0
14 Mar 2022
The Neural Data Router: Adaptive Control Flow in Transformers Improves
  Systematic Generalization
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
AI4CE
104
57
0
14 Oct 2021
COVR: A test-bed for Visually Grounded Compositional Generalization with
  real images
COVR: A test-bed for Visually Grounded Compositional Generalization with real images
Ben Bogin
Shivanshu Gupta
Matt Gardner
Jonathan Berant
CoGe
83
29
0
22 Sep 2021
Finding needles in a haystack: Sampling Structurally-diverse Training
  Sets from Synthetic Data for Compositional Generalization
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
I. Oren
Jonathan Herzig
Jonathan Berant
73
31
0
06 Sep 2021
Separating Skills and Concepts for Novel Visual Question Answering
Separating Skills and Concepts for Novel Visual Question Answering
Spencer Whitehead
Hui Wu
Heng Ji
Rogerio Feris
Kate Saenko
CoGe
92
34
0
19 Jul 2021
On the Value of Out-of-Distribution Testing: An Example of Goodhart's
  Law
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
Damien Teney
Kushal Kafle
Robik Shrestha
Ehsan Abbasnejad
Christopher Kanan
Anton Van Den Hengel
OODDOOD
85
147
0
19 May 2020
LXMERT: Learning Cross-Modality Encoder Representations from
  Transformers
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Hao Hao Tan
Joey Tianyi Zhou
VLMMLLM
252
2,493
0
20 Aug 2019
Learning by Abstraction: The Neural State Machine
Learning by Abstraction: The Neural State Machine
Drew A. Hudson
Christopher D. Manning
NAIOCL
110
260
0
09 Jul 2019
Explainable and Explicit Visual Reasoning over Scene Graphs
Explainable and Explicit Visual Reasoning over Scene Graphs
Jiaxin Shi
Hanwang Zhang
Juan-Zi Li
OCL
202
234
0
05 Dec 2018
A Corpus for Reasoning About Natural Language Grounded in Photographs
A Corpus for Reasoning About Natural Language Grounded in Photographs
Alane Suhr
Stephanie Zhou
Ally Zhang
Iris Zhang
Huajun Bai
Yoav Artzi
LRM
108
608
0
01 Nov 2018
Datasheets for Datasets
Datasheets for Datasets
Timnit Gebru
Jamie Morgenstern
Briana Vecchione
Jennifer Wortman Vaughan
Hanna M. Wallach
Hal Daumé
Kate Crawford
292
2,201
0
23 Mar 2018
FiLM: Visual Reasoning with a General Conditioning Layer
FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez
Florian Strub
H. D. Vries
Vincent Dumoulin
Aaron Courville
FAttAIMatOffRLAI4CE
372
2,236
0
22 Sep 2017
Inferring and Executing Programs for Visual Reasoning
Inferring and Executing Programs for Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Judy Hoffman
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
NAI
97
545
0
10 May 2017
Learning to Reason: End-to-End Module Networks for Visual Question
  Answering
Learning to Reason: End-to-End Module Networks for Visual Question Answering
Ronghang Hu
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Kate Saenko
KELMGNNReLMLRM
131
579
0
18 Apr 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
319
2,391
0
20 Dec 2016
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
355
3,273
0
02 Dec 2016
Neural Module Networks
Neural Module Networks
Jacob Andreas
Marcus Rohrbach
Trevor Darrell
Dan Klein
CoGe
139
1,077
0
09 Nov 2015
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