output
20082026
most citedA Survey on Visual Transformer

4.4k citations

Showing 2022 · cs.AIShow all

7 papers · 2 filters

cs.AI2022★ 5 cited

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks

Kai Xiong, Xiao Ding, Zhongyang Li +4

Causal chain reasoning (CCR) is an essential ability for many decision-making AI systems, which requires the model to build reliable causal chains by connecting causal pairs. Howev…

cs.AI2022★ 4 cited

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow

Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang +11

High-quality traffic flow generation is the core module in building simulators for autonomous driving. However, the majority of available simulators are incapable of replicating tr…

cs.AI2022★ 3 cited

Multi-Modal Experience Inspired AI Creation

Qian Cao, Xu Chen, Ruihua Song +3

AI creation, such as poem or lyrics generation, has attracted increasing attention from both industry and academic communities, with many promising models proposed in the past few…

cs.AI2022★ 8 cited

A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions

Jing Tan, Lars Braubach, Kai Jander +2

Manufacturing companies typically use sophisticated production planning systems optimizing production steps, often delivering near-optimal solutions. As a downside for delivering a…

cs.AI2022★ 26 cited

Machine Learning Methods in Solving the Boolean Satisfiability Problem

Wenxuan Guo, Junchi Yan, Hui-Ling Zhen +3

This paper reviews the recent literature on solving the Boolean satisfiability problem (SAT), an archetypal NP-complete problem, with the help of machine learning techniques. Despi…

cs.AI2022★ 49 cited

Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching

Zexi Li, Jiaxun Lu, Shuang Luo +6

In federated learning (FL), clients may have diverse objectives, and merging all clients' knowledge into one global model will cause negative transfer to local performance. Thus, c…