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A Maximal Correlation Approach to Imposing Fairness in Machine Learning

Dec 30, 2020
Joshua Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory Wornell, Leonid Karlinsky, Rogerio Feris

* 9 Pages 4 Figures 

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Learning from Lexical Perturbations for Consistent Visual Question Answering

Dec 23, 2020
Spencer Whitehead, Hui Wu, Yi Ren Fung, Heng Ji, Rogerio Feris, Kate Saenko

* 14 pages, 8 figures 

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Fine-grained Angular Contrastive Learning with Coarse Labels

Dec 07, 2020
Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogerio Feris, Raja Giryes, Leonid Karlinsky


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Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation

Dec 06, 2020
Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das


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Large Scale Neural Architecture Search with Polyharmonic Splines

Nov 20, 2020
Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David Kung, Rogerio Feris, Bishwaranjan Bhattacharjee


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Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition

Oct 23, 2020
Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogerio Feris, John Cohn, Aude Oliva, Quanfu Fan

* Codes and models are available on https://github.com/IBM/action-recognition-pytorch 

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OnlineAugment: Online Data Augmentation with Less Domain Knowledge

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

* ECCV2020 

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We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos

Aug 12, 2020
Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva

* European Conference on Computer Vision (ECCV) 2020, accepted 

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Mitigating Dataset Imbalance via Joint Generation and Classification

Aug 12, 2020
Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogerio Feris, Abir Das

* Accepted in ECCV2020 Workshop on Imbalance Problems in Computer Vision (IPCV) 

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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


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NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search

Jun 23, 2020
Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David Kung, Rogerio Feris, Bishwaranjan Bhattacharjee

* 19 pages, 19 Figures, 6 Tables 

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AVLnet: Learning Audio-Visual Language Representations from Instructional Videos

Jun 16, 2020
Andrew Rouditchenko, Angie Boggust, David Harwath, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Rogerio Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James Glass


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Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

Apr 22, 2020
Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerio Feris, Jinjun Xiong, Wen-mei Hwu, Thomas S. Huang, Honghui Shi

* CVPR 2020 

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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


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

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


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A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning

Dec 16, 2019
Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogerio Feris


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MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification

Dec 03, 2019
Sivan Doveh, Eli Schwartz, Chao Xue, Rogerio Feris, Alex Bronstein, Raja Giryes, Leonid Karlinsky


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AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

Nov 27, 2019
Ximeng Sun, Rameswar Panda, Rogerio Feris


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Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding

Nov 04, 2019
Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogerio Feris, Aude Oliva


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Baby steps towards few-shot learning with multiple semantics

Jun 05, 2019
Eli Schwartz, Leonid Karlinsky, Rogerio Feris, Raja Giryes, Alex M. Bronstein


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The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback

May 30, 2019
Xiaoxiao Guo, Hui Wu, Yupeng Gao, Steven Rennie, Rogerio Feris


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LaSO: Label-Set Operations networks for multi-label few-shot learning

Feb 26, 2019
Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein


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Depthwise Convolution is All You Need for Learning Multiple Visual Domains

Feb 19, 2019
Yunhui Guo, Yandong Li, Rogerio Feris, Liqiang Wang, Tajana Rosing


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SpotTune: Transfer Learning through Adaptive Fine-tuning

Nov 21, 2018
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogerio Feris


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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 

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