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Positive-Congruent Training: Towards Regression-Free Model Updates

Nov 20, 2020
Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto


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Spectral Embedding of Graph Networks

Sep 30, 2020
Shay Deutsch, Stefano Soatto


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Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations

Sep 21, 2020
Alex Wong, Mukund Mundhra, Stefano Soatto


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Predicting Training Time Without Training

Aug 28, 2020
Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


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Time-Supervised Primary Object Segmentation

Aug 16, 2020
Yanchao Yang, Brian Lai, Stefano Soatto


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Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance

Jul 28, 2020
Alexander Schperberg, Kenny Chen, Stephanie Tsuei, Michael Jewett, Joshua Hooks, Stefano Soatto, Ankur Mehta, Dennis Hong

* Accepted to the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA. First two authors contributed equally. For supplementary video, see https://www.youtube.com/watch?v=td4K55Tj-U8 

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Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

Jun 15, 2020
Tong He, John Collomosse, Hailin Jin, Stefano Soatto


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Targeted Adversarial Perturbations for Monocular Depth Prediction

Jun 12, 2020
Alex Wong, Safa Cicek, Stefano Soatto


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Stochastic batch size for adaptive regularization in deep network optimization

Apr 14, 2020
Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong


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FDA: Fourier Domain Adaptation for Semantic Segmentation

Apr 11, 2020
Yanchao Yang, Stefano Soatto


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Learning to Manipulate Individual Objects in an Image

Apr 11, 2020
Yanchao Yang, Yutong Chen, Stefano Soatto


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Phase Consistent Ecological Domain Adaptation

Apr 10, 2020
Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, Stefano Soatto


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Towards Backward-Compatible Representation Learning

Mar 29, 2020
Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto

* Accepted to CVPR 2020 as oral 

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Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

Mar 16, 2020
Aditya Golatkar, Alessandro Achille, Stefano Soatto


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Rethinking the Hyperparameters for Fine-tuning

Feb 19, 2020
Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

* Published as a conference paper at ICLR 2020 

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Continual Universal Object Detection

Feb 13, 2020
Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


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Incremental Learning for Metric-Based Meta-Learners

Feb 11, 2020
Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


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LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning

Dec 06, 2019
Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto


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Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks

Nov 25, 2019
Aditya Golatkar, Alessandro Achille, Stefano Soatto


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Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Neural Networks

Nov 12, 2019
Aditya Golatkar, Alessandro Achille, Stefano Soatto


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Meta-Q-Learning

Sep 30, 2019
Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola


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A Baseline for Few-Shot Image Classification

Sep 06, 2019
Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto


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Toward Understanding Catastrophic Forgetting in Continual Learning

Aug 02, 2019
Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto


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Where is the Information in a Deep Neural Network?

Jun 04, 2019
Alessandro Achille, Stefano Soatto


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Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence

May 30, 2019
Aditya Golatkar, Alessandro Achille, Stefano Soatto


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Unsupervised Domain Adaptation via Regularized Conditional Alignment

May 26, 2019
Safa Cicek, Stefano Soatto


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