research
∙
08/29/2023
TaskLAMA: Probing the Complex Task Understanding of Language Models
Structured Complex Task Decomposition (SCTD) is the problem of breaking ...
share
research
∙
06/13/2023
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
Automated reasoning with unstructured natural text is a key requirement ...
research
∙
04/05/2023
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information
Graph data is used in a wide range of applications, while analyzing grap...
research
∙
02/11/2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
Standard empirical risk minimization (ERM) training can produce deep neu...
research
∙
12/08/2021
Artificial Intelligence Powered Mobile Networks: From Cognition to Decision
Mobile networks (MN) are anticipated to provide unprecedented opportunit...
research
∙
12/24/2020
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
AlphaStar, the AI that reaches GrandMaster level in StarCraft II, is a r...
research
∙
10/12/2020
Large Scale Product Graph Construction for Recommendation in E-commerce
Building a recommendation system that serves billions of users on daily ...
research
∙
04/24/2020
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
Nowadays, recommender systems (RSes) are becoming increasingly important...
research
∙
04/22/2020
Alleviating the recommendation bias via rank aggregation
The primary goal of a recommender system is often known as "helping user...
research
∙
06/27/2019
User Validation of Recommendation Serendipity Metrics
Though it has been recognized that recommending serendipitous (i.e., sur...
research
∙
02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
research
∙
01/07/2019
Blind Motion Deblurring with Cycle Generative Adversarial Networks
Blind motion deblurring is one of the most basic and challenging problem...
research
∙
03/29/2017
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Many artificial intelligence (AI) applications often require multiple in...
research
∙
02/22/2013
On the performance of a hybrid genetic algorithm in dynamic environments
The ability to track the optimum of dynamic environments is important in...
research
∙
02/21/2013
