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

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
It Is Likely That Your Loss Should be a Likelihood

Jul 12, 2020
Mark Hamilton, Evan Shelhamer, William T. Freeman


  Access Paper or Ask Questions

Fully Test-time Adaptation by Entropy Minimization

Jun 18, 2020
Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, Trevor Darrell


  Access Paper or Ask Questions

Dynamic Scale Inference by Entropy Minimization

Aug 08, 2019
Dequan Wang, Evan Shelhamer, Bruno Olshausen, Trevor Darrell


  Access Paper or Ask Questions

Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields

Apr 25, 2019
Evan Shelhamer, Dequan Wang, Trevor Darrell


  Access Paper or Ask Questions

Infinite Mixture Prototypes for Few-Shot Learning

Feb 12, 2019
Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum


  Access Paper or Ask Questions

Few-Shot Segmentation Propagation with Guided Networks

May 25, 2018
Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alexei A. Efros, Sergey Levine


  Access Paper or Ask Questions

Zero-Shot Visual Imitation

Apr 23, 2018
Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell

* Oral presentation at ICLR 2018. Website at https://pathak22.github.io/zeroshot-imitation/ 

  Access Paper or Ask Questions

Deep Layer Aggregation

Jan 04, 2018
Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell


  Access Paper or Ask Questions

Loss is its own Reward: Self-Supervision for Reinforcement Learning

Mar 09, 2017
Evan Shelhamer, Parsa Mahmoudieh, Max Argus, Trevor Darrell


  Access Paper or Ask Questions

Clockwork Convnets for Video Semantic Segmentation

Aug 11, 2016
Evan Shelhamer, Kate Rakelly, Judy Hoffman, Trevor Darrell


  Access Paper or Ask Questions

Fully Convolutional Networks for Semantic Segmentation

May 20, 2016
Evan Shelhamer, Jonathan Long, Trevor Darrell

* to appear in PAMI (accepted May, 2016); journal edition of arXiv:1411.4038 

  Access Paper or Ask Questions

Fine-grained pose prediction, normalization, and recognition

Nov 22, 2015
Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell


  Access Paper or Ask Questions

Fully Convolutional Multi-Class Multiple Instance Learning

Apr 15, 2015
Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell

* in ICLR 2015 

  Access Paper or Ask Questions

cuDNN: Efficient Primitives for Deep Learning

Dec 18, 2014
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer


  Access Paper or Ask Questions

Caffe: Convolutional Architecture for Fast Feature Embedding

Jun 20, 2014
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

* Tech report for the Caffe software at http://github.com/BVLC/Caffe/ 

  Access Paper or Ask Questions