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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

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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

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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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