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Stratified Rule-Aware Network for Abstract Visual Reasoning

Stratified Rule-Aware Network for Abstract Visual Reasoning

17 February 2020
Sheng Hu
Yuqing Ma
Xianglong Liu
Yanlu Wei
Shihao Bai
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Papers citing "Stratified Rule-Aware Network for Abstract Visual Reasoning"

19 / 19 papers shown
Title
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
Hanchen Yang
Zishen Wan
Ritik Raj
Joongun Park
Ziwei Li
A. Samajdar
A. Raychowdhury
Tushar Krishna
31
0
0
27 Apr 2025
LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning
LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning
Tianshi Zheng
Jiayang Cheng
Chunyang Li
Haochen Shi
Ziyi Wang
Jiaxin Bai
Yangqiu Song
Ginny Wong
Simon See
LRM
48
3
0
16 Feb 2025
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning
Mikołaj Małkiński
Jacek Mańdziuk
39
1
0
16 Jun 2024
Attention as a Hypernetwork
Attention as a Hypernetwork
Simon Schug
Seijin Kobayashi
Yassir Akram
João Sacramento
Razvan Pascanu
GNN
37
3
0
09 Jun 2024
Abstracting Concept-Changing Rules for Solving Raven's Progressive
  Matrix Problems
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems
Fan Shi
Bin Li
Xiangyang Xue
LRM
39
9
0
15 Jul 2023
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Hikaru Shindo
Viktor Pfanschilling
Devendra Singh Dhami
Kristian Kersting
NAI
39
6
0
03 Jul 2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's
  Progressive Matrices
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
Jingyi Xu
Tushar Vaidya
Y. Blankenship
Saket Chandra
Zhangsheng Lai
Kai Fong Ernest Chong
48
8
0
21 Mar 2023
Learning to reason over visual objects
Learning to reason over visual objects
S. S. Mondal
Taylor Webb
Jonathan D. Cohen
OCL
35
29
0
03 Mar 2023
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias
  Boost Machine Abstract Reasoning Ability
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability
Qinglai Wei
Diancheng Chen
Beiming Yuan
34
10
0
26 Oct 2022
Multimodal Analogical Reasoning over Knowledge Graphs
Multimodal Analogical Reasoning over Knowledge Graphs
Ningyu Zhang
Lei Li
Xiang Chen
Xiaozhuan Liang
Shumin Deng
Huajun Chen
62
26
0
01 Oct 2022
Evaluating Understanding on Conceptual Abstraction Benchmarks
Evaluating Understanding on Conceptual Abstraction Benchmarks
Victor Vikram Odouard
Melanie Mitchell
ELM
30
14
0
28 Jun 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's
  Progressive Matrices
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices
Mikolaj Malkiñski
Jacek Mańdziuk
127
42
0
28 Jan 2022
Automatic Item Generation of Figural Analogy Problems: A Review and
  Outlook
Automatic Item Generation of Figural Analogy Problems: A Review and Outlook
Yu’an Yang
Deepayan Sanyal
Joel Michelson
James Ainooson
M. Kunda
25
5
0
20 Jan 2022
Logical Activation Functions: Logit-space equivalents of Probabilistic
  Boolean Operators
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
S. Lowe
Robert C. Earle
Jason dÉon
Thomas Trappenberg
Sageev Oore
23
1
0
22 Oct 2021
Unsupervised Abstract Reasoning for Raven's Problem Matrices
Unsupervised Abstract Reasoning for Raven's Problem Matrices
Tao Zhuo
Qian Huang
Mohan S. Kankanhalli
LRM
118
22
0
21 Sep 2021
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and
  Execution
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Chi Zhang
Baoxiong Jia
Song-Chun Zhu
Yixin Zhu
28
71
0
26 Mar 2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for
  Classification of Mass Lesions in Digital Mammography
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
A. Barnett
F. Schwartz
Chaofan Tao
Chaofan Chen
Yinhao Ren
J. Lo
Cynthia Rudin
36
133
0
23 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
31
20
0
06 Mar 2021
Scale-Localized Abstract Reasoning
Scale-Localized Abstract Reasoning
Yaniv Benny
Niv Pekar
Lior Wolf
28
61
0
20 Sep 2020
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