
-
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
A recent state-of-the-art neural open information extraction (OpenIE) sy...
read it
-
Joint Spatio-Textual Reasoning for Answering Tourism Questions
Our goal is to answer real-world tourism questions that seek Points-of-I...
read it
-
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Recent research has proposed neural architectures for solving combinator...
read it
-
ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis
A robot working in a physical environment (like home or factory) needs t...
read it
-
IMoJIE: Iterative Memory-Based Joint Open Information Extraction
While traditional systems for Open Information Extraction were statistic...
read it
-
Knowledge Base Completion: Baseline strikes back (Again)
Knowledge Base Completion has been a very active area recently, where mu...
read it
-
Knowledge Base Inference for Regular Expression Queries
Two common types of tasks on Knowledge Bases have been studied – single ...
read it
-
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
Pooling-based recurrent neural architectures consistently outperform the...
read it
-
Unsupervised Learning of KB Queries in Task Oriented Dialogs
Task-oriented dialog (TOD) systems converse with users to accomplish a s...
read it
-
A Simple Yet Strong Pipeline for HotpotQA
State-of-the-art models for multi-hop question answering typically augme...
read it
-
Generalized Neural Policies for Relational MDPs
A Relational Markov Decision Process (RMDP) is a first-order representat...
read it
-
Large Scale Question Answering using Tourism Data
Real world question answering can be significantly more complex than wha...
read it
-
Size Independent Neural Transfer for RDDL Planning
Neural planners for RDDL MDPs produce deep reactive policies in an offli...
read it
-
Transfer of Deep Reactive Policies for MDP Planning
Domain-independent probabilistic planners input an MDP description in a ...
read it
-
Block-Value Symmetries in Probabilistic Graphical Models
Several lifted inference algorithms for probabilistic graphical models f...
read it
-
Hierarchical Pointer Memory Network for Task Oriented Dialogue
We observe that end-to-end memory networks (MN) trained for task-oriente...
read it
-
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Lifted inference algorithms commonly exploit symmetries in a probabilist...
read it
-
Coarse-to-Fine Lifted MAP Inference in Computer Vision
There is a vast body of theoretical research on lifted inference in prob...
read it
-
Joint Matrix-Tensor Factorization for Knowledge Base Inference
While several matrix factorization (MF) and tensor factorization (TF) mo...
read it
-
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing
We present Octopus, an AI agent to jointly balance three conflicting tas...
read it
-
Contextual Symmetries in Probabilistic Graphical Models
An important approach for efficient inference in probabilistic graphical...
read it
-
Topological Value Iteration Algorithms
Value iteration is a powerful yet inefficient algorithm for Markov decis...
read it
-
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains
We consider the problem of optimal planning in stochastic domains with r...
read it
-
A Theory of Goal-Oriented MDPs with Dead Ends
Stochastic Shortest Path (SSP) MDPs is a problem class widely studied in...
read it
-
Crowdsourcing Control: Moving Beyond Multiple Choice
To ensure quality results from crowdsourced tasks, requesters often aggr...
read it