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
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion

Oct 14, 2020
Ankur Goswami, Akshata Bhat, Hadar Ohana, Theodoros Rekatsinas

* 14 pages, 5 figures, Accepted to Findings of EMNLP 2020 

  Access Paper or Ask Questions

Principal Component Networks: Parameter Reduction Early in Training

Jun 23, 2020
Roger Waleffe, Theodoros Rekatsinas


  Access Paper or Ask Questions

Record fusion: A learning approach

Jun 18, 2020
Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F. Ilyas, Theodoros Rekatsinas

* 18 pages, 9 figures 

  Access Paper or Ask Questions

An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation

Jun 09, 2020
Deepan Das, Haley Massa, Abhimanyu Kulkarni, Theodoros Rekatsinas


  Access Paper or Ask Questions

Picket: Self-supervised Data Diagnostics for ML Pipelines

Jun 08, 2020
Zifan Liu, Zhechun Zhou, Theodoros Rekatsinas

* 14 pages, 10 figures 

  Access Paper or Ask Questions

Robust Mean Estimation under Coordinate-level Corruption

Feb 10, 2020
Zifan Liu, Jongho Park, Nils Palumbo, Theodoros Rekatsinas, Christos Tzamos

* 16 pages, 3 figures 

  Access Paper or Ask Questions

Fine-Grained Object Detection over Scientific Document Images with Region Embeddings

Oct 30, 2019
Ankur Goswami, Joshua McGrath, Shanan Peters, Theodoros Rekatsinas


  Access Paper or Ask Questions

Approximate Inference in Structured Instances with Noisy Categorical Observations

Jul 06, 2019
Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas

* UAI 2019, 33 pages 

  Access Paper or Ask Questions

Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models

May 30, 2019
Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha


  Access Paper or Ask Questions

Learning Functional Dependencies with Sparse Regression

May 04, 2019
Zhihan Guo, Theodoros Rekatsinas


  Access Paper or Ask Questions

SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


  Access Paper or Ask Questions

Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss

May 31, 2013
Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor


  Access Paper or Ask Questions