6 papers
DIO: Refining Mutual Information and Causal Chain to Enhance Machine Abstract Reasoning Ability
Ruizhuo Song, Beiming Yuan
Despite deep learning's broad success, its abstract-reasoning bottleneck persists. We tackle Raven's Progressive Matrices (RPM), the benchmark for pattern, reasoning and problem-so…
Funny-Valen-Tine: Planning Solution Distribution Enhances Machine Abstract Reasoning Ability
Ruizhuo Song, Beiming Yuan
Visual abstract reasoning is core to image processing. We present Valen, a unified probability-highlighting baseline that excels on both RPM (progression) and Bongard-Logo (cluster…
Solving the Clustering Reasoning Problems by Modeling a Deep-Learning-Based Probabilistic Model
Ruizhuo Song, Beiming Yuan
Visual abstract reasoning problems pose significant challenges to the perception and cognition abilities of artificial intelligence algorithms, demanding deeper pattern recognition…
Johnny: Structuring Representation Space to Enhance Machine Abstract Reasoning Ability
Ruizhuo Song, Beiming Yuan
This paper thoroughly investigates the challenges of enhancing AI's abstract reasoning capabilities, with a particular focus on Raven's Progressive Matrices (RPM) tasks involving c…
D4C: Improving Negative Example Quality to Enhance Machine Abstract Reasoning Ability
Ruizhuo Song, Beiming Yuan
This paper is dedicated to addressing the challenge of enhancing the abstract reasoning capabilities of AI, particularly for tasks involving complex human concepts. We introduce Li…
Triple-CFN: Separating Concepts and Features Enhances Machine Abstract Reasoning Ability
Ruizhuo Song, Beiming Yuan
This paper introduces innovative frameworks for visual abstract reasoning, aiming to boost deep learning model performance. It emphasizes the importance of separating abstract conc…