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
not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget

Sep 09, 2020
Seungwook Han, Akash Srivastava, Cole Hurwitz, Prasanna Sattigeri, David D. Cox


  Access Paper or Ask Questions

Optimizing Mode Connectivity via Neuron Alignment

Sep 05, 2020
N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai

* 24 pages, 9 figures, code available at https://github.com/IBM/NeuronAlignment 

  Access Paper or Ask Questions

OnlineAugment: Online Data Augmentation with Less Domain Knowledge

Aug 22, 2020
Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas

* ECCV2020 

  Access Paper or Ask Questions

AR-Net: Adaptive Frame Resolution for Efficient Action Recognition

Jul 31, 2020
Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris


  Access Paper or Ask Questions

Fair Data Integration

Jun 10, 2020
Sainyam Galhotra, Karthikeyan Shanmugam, Prasanna Sattigeri, Kush R. Varshney


  Access Paper or Ask Questions

Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models

Apr 27, 2020
Jayaraman J. Thiagarajan, Prasanna Sattigeri, Deepta Rajan, Bindya Venkatesh


  Access Paper or Ask Questions

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification

Mar 15, 2020
Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogerio Feris, Alexander Bronstein, Raja Giryes


  Access Paper or Ask Questions

TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification

Mar 14, 2020
Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky


  Access Paper or Ask Questions

Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration

Feb 11, 2020
Bindya Venkatesh, Jayaraman J. Thiagarajan, Kowshik Thopalli, Prasanna Sattigeri


  Access Paper or Ask Questions

Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies

Dec 05, 2019
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman


  Access Paper or Ask Questions

Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets

Oct 29, 2019
Newton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney

* NeurIPS 2019 Workshop on Fair ML for Health 

  Access Paper or Ask Questions

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Sep 14, 2019
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovińá, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang


  Access Paper or Ask Questions

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors

Sep 09, 2019
Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer


  Access Paper or Ask Questions

Generating Contrastive Explanations with Monotonic Attribute Functions

May 29, 2019
Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Karthikeyan Shanmugam, Chun-Chen Tu


  Access Paper or Ask Questions

Understanding Unequal Gender Classification Accuracy from Face Images

Nov 30, 2018
Vidya Muthukumar, Tejaswini Pedapati, Nalini Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney


  Access Paper or Ask Questions

Co-regularized Alignment for Unsupervised Domain Adaptation

Nov 13, 2018
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogerio Feris, William T. Freeman, Gregory Wornell

* NIPS 2018 accepted version 

  Access Paper or Ask Questions

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Oct 03, 2018
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang

* 20 pages 

  Access Paper or Ask Questions

Can Deep Clinical Models Handle Real-World Domain Shifts?

Sep 20, 2018
Jayaraman J. Thiagarajan, Deepta Rajan, Prasanna Sattigeri


  Access Paper or Ask Questions

Fairness GAN

May 24, 2018
Prasanna Sattigeri, Samuel C. Hoffman, Vijil Chenthamarakshan, Kush R. Varshney


  Access Paper or Ask Questions

Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference

Dec 05, 2017
Abhishek Kumar, Prasanna Sattigeri, P. Thomas Fletcher

* NIPS 2017 accepted version, including appendix 

  Access Paper or Ask Questions

Optimizing Kernel Machines using Deep Learning

Nov 15, 2017
Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias


  Access Paper or Ask Questions

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

Nov 07, 2017
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan

* added more related work 

  Access Paper or Ask Questions

A Deep Learning Approach To Multiple Kernel Fusion

Dec 28, 2016
Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Andreas Spanias


  Access Paper or Ask Questions

Robust Local Scaling using Conditional Quantiles of Graph Similarities

Dec 14, 2016
Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Bhavya Kailkhura


  Access Paper or Ask Questions

TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning

Nov 22, 2016
Jayaraman J. Thiagarajan, Bhavya Kailkhura, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

  Access Paper or Ask Questions

Understanding Innovation to Drive Sustainable Development

Jun 15, 2016
Prasanna Sattigeri, Aur√©lie Lozano, Aleksandra Mojsilovińá, Kush R. Varshney, Mahmoud Naghshineh

* presented at 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, New York, NY 

  Access Paper or Ask Questions

Ensemble Sparse Models for Image Analysis

Feb 27, 2013
Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias


  Access Paper or Ask Questions