Sciweavers

78
Voted
AAAI
2015
10 years 6 days ago
Sampling Representative Users from Large Social Networks
Jie Tang, Chenhui Zhang, Keke Cai, Li Zhang, Zhong...
96
Voted
AAAI
2015
10 years 6 days ago
Marginalized Denoising for Link Prediction and Multi-Label Learning
Link prediction and multi-label learning on graphs are two important but challenging machine learning problems that have broad applications in diverse fields. Not only are the tw...
Zheng Chen, Minmin Chen, Kilian Q. Weinberger, Wei...
78
Voted
AAAI
2015
10 years 6 days ago
Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision
We present a probabilistic framework for learning pairwise similarities between objects belonging to different modalities, such as drugs and proteins, or text and images. Our fram...
Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin
84
Voted
AAAI
2015
10 years 6 days ago
VELDA: Relating an Image Tweet's Text and Images
Image tweets are becoming a prevalent form of social media, but little is known about their content – textual and visual – and the relationship between the two mediums. Our an...
Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Ye...
77
Voted
AAAI
2015
10 years 6 days ago
Incentives for Subjective Evaluations with Private Beliefs
The modern web critically depends on aggregation of information from self-interested agents, for example opinion polls, product ratings, or crowdsourcing. We consider a setting wh...
Goran Radanovic, Boi Faltings
125
Voted
AAAI
2015
10 years 6 days ago
Are Features Equally Representative? A Feature-Centric Recommendation
Typically a user prefers an item (e.g., a movie) because she likes certain features of the item (e.g., director, genre, producer). This observation motivates us to consider a feat...
Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Ji...
89
Voted
AAAI
2015
10 years 6 days ago
Strong Bounds Consistencies and Their Application to Linear Constraints
We propose two local consistencies that extend bounds consistency (BC) by simultaneously considering combinations of constraints as opposed to single constraints. We prove that th...
Christian Bessiere, Anastasia Paparrizou, Kostas S...
83
Voted
AAAI
2015
10 years 6 days ago
On the Role of Canonicity in Knowledge Compilation
Knowledge compilation is a powerful reasoning paradigm with many applications across AI and computer science more broadly. We consider the problem of bottom-up compilation of know...
Guy Van den Broeck, Adnan Darwiche
92
Voted
AAAI
2015
10 years 6 days ago
UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning
Layered learning is a hierarchical machine learning paradigm that enables learning of complex behaviors by incrementally learning a series of sub-behaviors. A key feature of layer...
Patrick MacAlpine, Mike Depinet, Peter Stone
83
Voted
AAAI
2015
10 years 6 days ago
Planned Protest Modeling in News and Social Media
Civil unrest (protests, strikes, and “occupy” events) is a common occurrence in both democracies and authoritarian regimes. The study of civil unrest is a key topic for politi...
Sathappan Muthiah, Bert Huang, Jaime Arredondo, Da...