
NonCount Symmetries in Boolean & MultiValued Prob. Graphical Models
Lifted inference algorithms commonly exploit symmetries in a probabilist...
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Joint MatrixTensor Factorization for Knowledge Base Inference
While several matrix factorization (MF) and tensor factorization (TF) mo...
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CoarsetoFine Lifted MAP Inference in Computer Vision
There is a vast body of theoretical research on lifted inference in prob...
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Contextual Symmetries in Probabilistic Graphical Models
An important approach for efficient inference in probabilistic graphical...
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Topological Value Iteration Algorithms
Value iteration is a powerful yet inefficient algorithm for Markov decis...
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A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains
We consider the problem of optimal planning in stochastic domains with r...
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A Theory of GoalOriented MDPs with Dead Ends
Stochastic Shortest Path (SSP) MDPs is a problem class widely studied in...
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Crowdsourcing Control: Moving Beyond Multiple Choice
To ensure quality results from crowdsourced tasks, requesters often aggr...
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Octopus: A Framework for CostQualityTime Optimization in Crowdsourcing
We present Octopus, an AI agent to jointly balance three conflicting tas...
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Hierarchical Pointer Memory Network for Task Oriented Dialogue
We observe that endtoend memory networks (MN) trained for taskoriente...
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BlockValue Symmetries in Probabilistic Graphical Models
Several lifted inference algorithms for probabilistic graphical models f...
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Transfer of Deep Reactive Policies for MDP Planning
Domainindependent probabilistic planners input an MDP description in a ...
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Size Independent Neural Transfer for RDDL Planning
Neural planners for RDDL MDPs produce deep reactive policies in an offli...
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Large Scale Question Answering using Tourism Data
Real world question answering can be significantly more complex than wha...
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Generalized Neural Policies for Relational MDPs
A Relational Markov Decision Process (RMDP) is a firstorder representat...
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A Simple Yet Strong Pipeline for HotpotQA
Stateoftheart models for multihop question answering typically augme...
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Why and when should you pool? Analyzing Pooling in Recurrent Architectures
Poolingbased recurrent neural architectures consistently outperform the...
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Knowledge Base Inference for Regular Expression Queries
Two common types of tasks on Knowledge Bases have been studied – single ...
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Unsupervised Learning of KB Queries in Task Oriented Dialogs
Taskoriented dialog (TOD) systems converse with users to accomplish a s...
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Knowledge Base Completion: Baseline strikes back (Again)
Knowledge Base Completion has been a very active area recently, where mu...
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IMoJIE: Iterative MemoryBased Joint Open Information Extraction
While traditional systems for Open Information Extraction were statistic...
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