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2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track


Oct 25, 2021
Manoj Acharya, Christopher Kanan

* Published in SSLAD workshop at ICCV 2021 

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Disentangling Transfer and Interference in Multi-Domain Learning


Jul 16, 2021
Yipeng Zhang, Tyler L. Hayes, Christopher Kanan


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How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?


Jun 29, 2021
Bidur Khanal, Christopher Kanan


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Replay in Deep Learning: Current Approaches and Missing Biological Elements


Apr 01, 2021
Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan


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Avalanche: an End-to-End Library for Continual Learning


Apr 01, 2021
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

* Official Website: https://avalanche.continualai.org 

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An Investigation of Critical Issues in Bias Mitigation Techniques


Apr 01, 2021
Robik Shrestha, Kushal Kafle, Christopher Kanan


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Self-Supervised Training Enhances Online Continual Learning


Mar 25, 2021
Jhair Gallardo, Tyler L. Hayes, Christopher Kanan


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Selective Replay Enhances Learning in Online Continual Analogical Reasoning


Mar 06, 2021
Tyler L. Hayes, Christopher Kanan


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Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems


Mar 04, 2021
Usman Mahmood, Robik Shrestha, David D. B. Bates, Lorenzo Mannelli, Giuseppe Corrias, Yusuf Erdi, Christopher Kanan


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Improved Robustness to Open Set Inputs via Tempered Mixup


Sep 10, 2020
Ryne Roady, Tyler L. Hayes, Christopher Kanan

* Proceedings of the ECCV 2020 Workshop on Adversarial Robustness in the Real World 

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RODEO: Replay for Online Object Detection


Aug 14, 2020
Manoj Acharya, Tyler L. Hayes, Christopher Kanan

* Accepted for poster presentation at BMVC2020 

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On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law


May 19, 2020
Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel


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Do We Need Fully Connected Output Layers in Convolutional Networks?


Apr 29, 2020
Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan


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A negative case analysis of visual grounding methods for VQA


Apr 15, 2020
Robik Shrestha, Kushal Kafle, Christopher Kanan


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AeroRIT: A New Scene for Hyperspectral Image Analysis


Dec 17, 2019
Aneesh Rangnekar, Nilay Mokashi, Emmett Ientilucci, Christopher Kanan, Matthew J. Hoffman


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Towards calibrated and scalable uncertainty representations for neural networks


Dec 04, 2019
Nabeel Seedat, Christopher Kanan

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019): 4th workshop on Bayesian Deep Learning, Vancouver, Canada 

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Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?


Oct 30, 2019
Ryne Roady, Tyler L. Hayes, Ronald Kemker, Ayesha Gonzales, Christopher Kanan


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REMIND Your Neural Network to Prevent Catastrophic Forgetting


Oct 06, 2019
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan


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RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking


Oct 01, 2019
Aayush K. Chaudhary, Rakshit Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel Diaz, Jeff B. Pelz

* This model is the winning submission for OpenEDS Semantic Segmentation Challenge for Eye images https://research.fb.com/programs/openeds-challenge/. To appear in ICCVW 2019. ("Pre-trained models and source code are available https://bitbucket.org/eye-ush/ritnet/.") 

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Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis


Sep 04, 2019
Tyler L. Hayes, Christopher Kanan


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Answering Questions about Data Visualizations using Efficient Bimodal Fusion


Aug 05, 2019
Kushal Kafle, Robik Shrestha, Brian Price, Scott Cohen, Christopher Kanan


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Rethinking Continual Learning for Autonomous Agents and Robots


Jul 02, 2019
German I. Parisi, Christopher Kanan

* arXiv admin note: substantial text overlap with arXiv:1802.07569 

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Challenges and Prospects in Vision and Language Research


May 24, 2019
Kushal Kafle, Robik Shrestha, Christopher Kanan


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Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities


May 09, 2019
Rakshit Kothari, Zhizhuo Yang, Christopher Kanan, Reynold Bailey, Jeff Pelz, Gabriel Diaz

* 23 pages, 11 figures, 10 tables, Dataset can be found at http://www.cis.rit.edu/~rsk3900/ 

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VQD: Visual Query Detection in Natural Scenes


Apr 11, 2019
Manoj Acharya, Karan Jariwala, Christopher Kanan

* To appear in NAACL 2019 ( To download the dataset please go to http://www.manojacharya.com/

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