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07/20/2023
Mitigating Voter Attribute Bias for Fair Opinion Aggregation
The aggregation of multiple opinions plays a crucial role in decision-ma...
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02/25/2023
Mitigating Observation Biases in Crowdsourced Label Aggregation
Crowdsourcing has been widely used to efficiently obtain labeled dataset...
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02/08/2023
Multiview Representation Learning from Crowdsourced Triplet Comparisons
Crowdsourcing has been used to collect data at scale in numerous fields....
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06/04/2022
Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios
Evaluation of intervention in a multi-agent system, e.g., when humans sh...
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12/15/2021
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
Intelligent Tutoring Systems have become critically important in future ...
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06/27/2021
Crowdsourcing Evaluation of Saliency-based XAI Methods
Understanding the reasons behind the predictions made by deep neural net...
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06/11/2021
Inter-domain Multi-relational Link Prediction
Multi-relational graph is a ubiquitous and important data structure, all...
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02/19/2021
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections
Extracting coherent patterns is one of the standard approaches towards u...
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02/08/2021
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference
Crowd movement guidance has been a fascinating problem in various fields...
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05/21/2020
Succinct Trit-array Trie for Scalable Trajectory Similarity Search
Massive datasets of spatial trajectories representing the mobility of a ...
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02/08/2018
Imitation networks: Few-shot learning of neural networks from scratch
In this paper, we propose imitation networks, a simple but effective met...
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03/22/2016