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2012.01944
Cited By
Multi-Label Contrastive Learning for Abstract Visual Reasoning
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
3 December 2020
Mikolaj Malkiñski
Jacek Mańdziuk
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Papers citing
"Multi-Label Contrastive Learning for Abstract Visual Reasoning"
22 / 22 papers shown
Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems
Szymon Pawlonka
Mikołaj Małkiński
Jacek Mańdziuk
178
4
0
16 Aug 2025
Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Mikołaj Małkiński
Jacek Mańdziuk
254
1
0
19 May 2025
GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
International Conference on Learning Representations (ICLR), 2025
Kalliopi Basioti
Pritish Sahu
Qingze Tony Liu
Zihao Xu
Hao Wang
Vladimir Pavlovic
325
0
0
30 Mar 2025
Multi-level Supervised Contrastive Learning
Naghmeh Ghanooni
Barbod Pajoum
Harshit Rawal
Sophie Fellenz
Vo Nguyen Le Duy
Marius Kloft
550
2
0
04 Feb 2025
Learning Visual Abstract Reasoning through Dual-Stream Networks
AAAI Conference on Artificial Intelligence (AAAI), 2024
Kai Zhao
Chang Xu
Bailu Si
371
9
0
29 Nov 2024
A Unified View of Abstract Visual Reasoning Problems
Mikołaj Małkiński
Jacek Mańdziuk
208
1
0
16 Jun 2024
Computer User Interface Understanding. A New Dataset and a Learning Framework
Andrés Munoz
Daniel Borrajo
218
0
0
15 Mar 2024
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning
Quan Do
Thomas M Morin
Chantal E. Stern
Michael Hasselmo
118
0
0
08 Mar 2024
Learning Label Hierarchy with Supervised Contrastive Learning
Ruixue Lian
W. Sethares
Junjie Hu
248
4
0
31 Jan 2024
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
AAAI Conference on Artificial Intelligence (AAAI), 2023
Mikolaj Malkiñski
Jacek Mańdziuk
216
10
0
15 Dec 2023
Learning Abstract Visual Reasoning via Task Decomposition: A Case Study in Raven Progressive Matrices
International Journal of Applied Mathematics and Computer Sciences (JAMCS), 2023
Jakub M. Kwiatkowski
K. Krawiec
184
2
0
12 Aug 2023
End-to-End Supervised Multilabel Contrastive Learning
A. Sajedi
Samir Khaki
Konstantinos N. Plataniotis
Mahdi S. Hosseini
SSL
210
7
0
08 Jul 2023
Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations
International Conference on Computational Semantics (IWCS), 2023
Sadaf Ghaffari
Nikhil Krishnaswamy
219
12
0
23 May 2023
A Region-Prompted Adapter Tuning for Visual Abductive Reasoning
ACM Multimedia (ACM MM), 2023
Hao Zhang
Yeo Keat Ee
Basura Fernando
VLM
471
3
0
18 Mar 2023
Coarse-to-Fine Contrastive Learning on Graphs
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Peiyao Zhao
Yuangang Pan
Xin Li
Xu Chen
Ivor W. Tsang
L. Liao
SSL
218
5
0
13 Dec 2022
An Effective Deployment of Contrastive Learning in Multi-label Text Classification
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Hongyan Wu
Guanqiu Qin
G. Wang
Aimin Yang
Dong-ping Zhou
328
36
0
01 Dec 2022
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels
Zhongchen Ma
Lisha Li
Qi-rong Mao
Songcan Chen
227
4
0
03 Sep 2022
Evaluating Understanding on Conceptual Abstraction Benchmarks
Victor Vikram Odouard
Melanie Mitchell
ELM
210
17
0
28 Jun 2022
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
Computer Vision and Pattern Recognition (CVPR), 2022
Shu Zhen Zhang
Ran Xu
Caiming Xiong
Chetan Ramaiah
SSL
193
108
0
27 Apr 2022
A Review of Emerging Research Directions in Abstract Visual Reasoning
Information Fusion (Inf. Fusion), 2022
Mikolaj Malkiñski
Jacek Mańdziuk
366
49
0
21 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices
ACM Computing Surveys (ACM CSUR), 2022
Mikolaj Malkiñski
Jacek Mańdziuk
529
55
0
28 Jan 2022
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Junwen Bai
Shufeng Kong
Daniel Schwalbe-Koda
SSL
DRL
326
46
0
02 Dec 2021
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