UW CSE AI Program ranked 6th best nationally by US News in 2010

UW CSE Faculty member Pedro Domingos is named AAAI Fellow

UW CSE Postdoc Vibhav Gogate and Faculty member Pedro Domingos win several categories at the 2010 UAI Approximate Inference Challenge

The AI group in the UW Department of Computer Science welcomes two new faculty, who deepen the group's expertise

An ideal observer model for identifying the reference frame of objects Joseph L. Austerweil, Abram L. Friesen and Thomas L. Griffiths

Interactive 3D Modeling of Indoor Environments with a Consumer Depth Camera Hao Du, Peter Henry, Xiaofeng Ren, Marvin Cheng, Dan B Goldman, Steven Seitz and Dieter Fox   Project:  RGB-D Mapping: Using Depth Cameras for Dense 3D Mapping

A Scalable Tree-based Approach for Joint Object and Pose Recognition Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox   Project:  RGB-D Object Recognition and Detection

Artificial Intelligence for Artificial Artificial Intelligence Peng Dai, Mausam and Daniel S. Weld   Project:  Decision-Theoretic Control for Crowdsourced Workflows, Scalable Probabilistic Planning

Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models Chloé Kiddon and Pedro Domingos   Project:  Machine Reading, Alchemy, Statistical Relational Learning

Effective End-User Interaction with Machine Learning Saleema Amershi, James Fogarty, Ashish Kapoor and Desney Tan

Human Intelligence Needs Artificial Intelligence Daniel S. Weld, Mausam and Peng Dai   Project:  Decision-Theoretic Control for Crowdsourced Workflows, Scalable Probabilistic Planning, Intelligent Interfaces

Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera Albert S. Huang, Abraham Bachrach, Peter Henry, Michael Krainin, Daniel Maturana and Dieter Fox   Project:  RGB-D Mapping: Using Depth Cameras for Dense 3D Mapping

Gaze Following as Goal Inference: A Bayesian Model Abram L. Friesen and Rajesh Rao

A Hierarchical Architecture for Adaptive Brain-Computer Interfacing Mike Chung, Willy Cheung, Reinhold Scherer and Rajesh Rao   Project:  Neural Systems

Human-Guided Machine Learning for Fast and Accurate Network Alarm Triage Saleema Amershi, Bongshin Lee, Ashish Kapoor, Ratul Mahajan and Blaine Christian

Open Information Extraction: the Second Generation Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland and Mausam   Project:  Open Information Extraction

Using Multiple Models to Understand Data Kayur Patel, Steven M Drucker, James Fogarty, Ashish Kapoor and Desney Tan

Bootstrapping Semantic Parsers from Conversations Yoav Artzi and Luke S. Zettlemoyer

Data-Driven Response Generation in Social Media Alan Ritter, Colin Cherry and Bill Dolan

Identifying Relations for Open Information Extraction Anthony Fader, Stephen Soderland and Oren Etzioni   Project:  Open Information Extraction   Downloads:  [Data]

Named Entity Recognition in Tweets: An Experimental Study Alan Ritter, Sam Clark, Mausam and Oren Etzioni

Heuristic Search for Generalized Stochastic Shortest Path MDPs Andrey Kolobov, Mausam, Daniel S. Weld and Hector Geffner   Project:  Scalable Probabilistic Planning

A Class of Submodular Functions for Document Summarization Hui Lin and Jeff A Bilmes

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations Raphael Hoffmann, Xiao Ling, Luke S. Zettlemoyer and Daniel S. Weld   Project:  Machine Reading

Question Detection In Spoken Conversations Using Textual Conversations Anna Margolis and Mari Ostendorf

Word Alignment Via Submodular Maximization Over Matroids Hui Lin and Jeff A Bilmes

An Analysis of Open Information Extraction based on Semantic Role Labeling Janara Christensen, Mausam, Stephen Soderland and Oren Etzioni

Object Recognition with Hierarchical Kernel Descriptors Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox   Project:  RGB-D Object Recognition and Detection

A Large-Scale Hierarchical Multi-View RGB-D Object Dataset Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox   Project:  RGB-D Object Recognition and Detection

Autonomous Generation of Complete 3D Object Models Using Next Best View Manipulation Planning Michael Krainin, Brian Curless and Dieter Fox   Project:  Robotic In-Hand 3D Object Modeling

Gambit: A Robust Chess-Playing Robotic System Cynthia Matuszek, Brian Mayton, Roberto Aimi, Marc P Deisenroth, Liefeng Bo and Dieter Fox   Project:  Robot Game Playing, Mobile Robotics & State Estimation Lab

Sparse Distance Learning for Object Recognition Combining RGB and Depth Information Kevin Lai, Liefeng Bo, Xiaofeng Ren and Dieter Fox    Best Vision Paper Award   Project:  RGB-D Object Recognition and Detection

Toward Object Discovery and Modeling via 3-D Scene Comparison Evan Herbst, Peter Henry, Xiaofeng Ren and Dieter Fox   Project:  3-D Object Discovery Using Motion   Downloads:  [Slides]

Manipulator and Object Tracking for In-Hand 3D Object Modeling Michael Krainin, Peter Henry, Xiaofeng Ren and Dieter Fox   Project:  Robotic In-Hand 3D Object Modeling

Approximation by Quantization Vibhav Gogate and Pedro Domingos   Project:  Machine Reading, Alchemy, Statistical Relational Learning

Probabilistic Theorem Proving Vibhav Gogate and Pedro Domingos   Project:  Machine Reading, Alchemy, Statistical Relational Learning

Sum-Product Networks: A New Deep Architecture Hoifung Poon and Pedro Domingos    Best Paper Award   Project:  Machine Reading, Alchemy, Statistical Relational Learning, Large-Scale Machine Learning

Depth Kernel Descriptors for Object Recognition Liefeng Bo, Xiaofeng Ren and Dieter Fox   Project:  RGB-D Object Recognition and Detection

RGB-D Object Discovery Via Multi-Scene Analysis Evan Herbst, Xiaofeng Ren and Dieter Fox   Project:  3-D Object Discovery Using Motion   Downloads:  [Slides]

More publications...