Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for John Canny

What's The Latest? A Question-driven News Chatbot

May 12, 2021
Philippe Laban, John Canny, Marti A. Hearst

* ACL Demos (2020) 380-387 
* ACL2020 Demo Track, 8 pages, 5 figures 

  Access Paper or Ask Questions

The Summary Loop: Learning to Write Abstractive Summaries Without Examples

May 11, 2021
Philippe Laban, Andrew Hsi, John Canny, Marti A. Hearst

* Association for Computational Linguistics (2020) 5135-5150 
* ACL2020, 16 pages, 9 figures 

  Access Paper or Ask Questions

Active Learning for Video Description With Cluster-Regularized Ensemble Ranking

Jul 29, 2020
David M. Chan, Sudheendra Vijayanarasimhan, David A. Ross, John Canny

  Access Paper or Ask Questions

Predictive Information Accelerates Learning in RL

Jul 24, 2020
Kuang-Huei Lee, Ian Fischer, Anthony Liu, Yijie Guo, Honglak Lee, John Canny, Sergio Guadarrama

  Access Paper or Ask Questions

A Dataset and Benchmarks for Multimedia Social Analysis

Jun 05, 2020
Bofan Xue, David Chan, John Canny

* Published as a workshop paper at "Multimodality Learning" (CVPR 2020) 

  Access Paper or Ask Questions

Scones: Towards Conversational Authoring of Sketches

May 12, 2020
Forrest Huang, Eldon Schoop, David Ha, John Canny

* Long Paper, IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces 

  Access Paper or Ask Questions

Exploring Exploration: Comparing Children with RL Agents in Unified Environments

May 06, 2020
Eliza Kosoy, Jasmine Collins, David M. Chan, Jessica B. Hamrick, Sandy Huang, Alison Gopnik, John Canny

* Published as a workshop paper at "Bridging AI and Cognitive Science" (ICLR 2020) 

  Access Paper or Ask Questions

Measuring the Reliability of Reinforcement Learning Algorithms

Dec 10, 2019
Stephanie C. Y. Chan, Sam Fishman, John Canny, Anoop Korattikara, Sergio Guadarrama

* Accepted at the Workshop on Deep Reinforcement Learning at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

  Access Paper or Ask Questions

Grounding Human-to-Vehicle Advice for Self-driving Vehicles

Nov 16, 2019
Jinkyu Kim, Teruhisa Misu, Yi-Ting Chen, Ashish Tawari, John Canny

* IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019 

  Access Paper or Ask Questions

ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations

Oct 26, 2019
Daniel Seita, David Chan, Roshan Rao, Chen Tang, Mandi Zhao, John Canny

* Deep Reinforcement Learning Workshop at NeurIPS 2019 

  Access Paper or Ask Questions

Deep Imitation Learning of Sequential Fabric Smoothing Policies

Sep 23, 2019
Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John Canny, Ken Goldberg

* Supplementary material is available at 

  Access Paper or Ask Questions

Evaluating Protein Transfer Learning with TAPE

Jun 19, 2019
Roshan Rao, Nicholas Bhattacharya, Neil Thomas, Yan Duan, Xi Chen, John Canny, Pieter Abbeel, Yun S. Song

* 20 pages, 4 figures 

  Access Paper or Ask Questions

Risk Averse Robust Adversarial Reinforcement Learning

Mar 31, 2019
Xinlei Pan, Daniel Seita, Yang Gao, John Canny

* ICRA 2019 

  Access Paper or Ask Questions

Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention

Mar 24, 2019
Ye Xia, Jinkyu Kim, John Canny, Karl Zipser, David Whitney

  Access Paper or Ask Questions

Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric

Oct 10, 2018
Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John Canny, Ken Goldberg

* Under review. Expanded and revised version of arXiv:1711.02525 Project website at 

  Access Paper or Ask Questions

Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data

Aug 26, 2018
Xinlei Pan, Sung-Li Chiang, John Canny

  Access Paper or Ask Questions

Textual Explanations for Self-Driving Vehicles

Jul 30, 2018
Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, Zeynep Akata

* European Conference on Computer Vision (ECCV), 2018 
* Accepted to ECCV 2018 

  Access Paper or Ask Questions

Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure

Feb 24, 2018
Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John Canny, Ken Goldberg

* Code, data, and videos are available at Final version for ICRA 2018 

  Access Paper or Ask Questions

An Efficient Minibatch Acceptance Test for Metropolis-Hastings

Jul 09, 2017
Daniel Seita, Xinlei Pan, Haoyu Chen, John Canny

* Final version for UAI 2017 

  Access Paper or Ask Questions

General models for rational cameras and the case of two-slit projections

Apr 11, 2017
Matthew Trager, Bernd Sturmfels, John Canny, Martial Hebert, Jean Ponce

* 9 pages + supplementary material 

  Access Paper or Ask Questions

Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention

Mar 30, 2017
Jinkyu Kim, John Canny

  Access Paper or Ask Questions

Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks

Nov 19, 2015
Daniel Seita, Haoyu Chen, John Canny

  Access Paper or Ask Questions

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation

Sep 18, 2014
Huasha Zhao, Biye Jiang, John Canny

* 10 pages, 5 figures 

  Access Paper or Ask Questions

Sparse Allreduce: Efficient Scalable Communication for Power-Law Data

Dec 11, 2013
Huasha Zhao, John Canny

  Access Paper or Ask Questions