SOTAVerified

Relational Reasoning

The goal of Relational Reasoning is to figure out the relationships among different entities, such as image pixels, words or sentences, human skeletons or interactive moving agents.

Source: Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network

Papers

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Showing 381–390 of 483 papers

TitleStatusHype
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement—0
Dilated DenseNets for Relational Reasoning—0
Discriminative Gaifman Models—0
Distilling Structured Knowledge for Text-Based Relational Reasoning—0
Distributed Associative Memory Network with Association Reinforcing Loss—0
Does Entity Abstraction Help Generative Transformers Reason?—0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
Domain-Liftability of Relational Marginal Polytopes—0
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data—0
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified