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A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs


May 05, 2021
Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska


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Backdoor Attacks on the DNN Interpretation System


Dec 03, 2020
Shihong Fang, Anna Choromanska


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Continual learning with direction-constrained optimization


Nov 25, 2020
Yunfei Teng, Anna Choromanska, Murray Campbell


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SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions


Nov 03, 2020
Jing Wang, Anna Choromanska


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Multi-modal Experts Network for Autonomous Driving


Sep 18, 2020
Shihong Fang, Anna Choromanska

* 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 6439-6445 
* Published at the International Conference on Robotics and Automation (ICRA), 2020 

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Wasserstein Reinforcement Learning


Jun 19, 2019
Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromanski, Michael I. Jordan


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LdSM: Logarithm-depth Streaming Multi-label Decision Trees


Jun 03, 2019
Maryam Majzoubi, Anna Choromanska


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Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models


May 24, 2019
Yunfei Teng, Wenbo Gao, Francois Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller


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Skin Lesion Segmentation and Classification with Deep Learning System


Feb 16, 2019
Devansh Bisla, Anna Choromanska, Jennifer A. Stein, David Polsky, Russell Berman


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Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy


Nov 12, 2018
Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami

* Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) 

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Beyond Backprop: Online Alternating Minimization with Auxiliary Variables


Oct 24, 2018
Anna Choromanska, Sadhana Kumaravel, Ronny Luss, Irina Rish, Brian Kingsbury, Mattia Rigotti, Paolo DiAchille, Viatcheslav Gurev, Ravi Tejwani, Djallel Bouneffouf

* First four authors contributed equally to this work: A.C. - theory, manuscript, S.K. - code, experiments, R.L. - algorithm, experiments, I.R. - algorithm, manuscript 

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VisualBackProp for learning using privileged information with CNNs


May 24, 2018
Devansh Bisla, Anna Choromanska


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A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI


Apr 11, 2018
Shervin Minaee, Yao Wang, Anna Choromanska, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W Lui

* arXiv admin note: text overlap with arXiv:1710.06824 

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LSALSA: efficient sparse coding in single and multiple dictionary settings


Feb 13, 2018
Benjamin Cowen, Apoorva Nandini Saridena, Anna Choromanska


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Invertible Autoencoder for domain adaptation


Feb 10, 2018
Yunfei Teng, Anna Choromanska, Mariusz Bojarski


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VisualBackProp: efficient visualization of CNNs


May 19, 2017
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry Jackel, Urs Muller, Karol Zieba


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Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car


Apr 25, 2017
Mariusz Bojarski, Philip Yeres, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Lawrence Jackel, Urs Muller


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Entropy-SGD: Biasing Gradient Descent Into Wide Valleys


Apr 21, 2017
Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer Chayes, Levent Sagun, Riccardo Zecchina

* ICLR '17 

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Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation


Mar 02, 2017
Yacine Jernite, Anna Choromanska, David Sontag


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Structured adaptive and random spinners for fast machine learning computations


Nov 26, 2016
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cedric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tamas Sarlos, Jamal Atif

* arXiv admin note: substantial text overlap with arXiv:1605.09046 

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Binary embeddings with structured hashed projections


Jul 01, 2016
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun

* arXiv admin note: text overlap with arXiv:1505.03190 

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On the boosting ability of top-down decision tree learning algorithm for multiclass classification


May 17, 2016
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski


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Logarithmic Time Online Multiclass prediction


Nov 14, 2015
Anna Choromanska, John Langford


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Deep learning with Elastic Averaging SGD


Oct 25, 2015
Sixin Zhang, Anna Choromanska, Yann LeCun

* NIPS2015 camera-ready version 

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Differentially- and non-differentially-private random decision trees


Feb 05, 2015
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Yann LeCun


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The Loss Surfaces of Multilayer Networks


Jan 21, 2015
Anna Choromanska, Mikael Henaff, Michael Mathieu, Gérard Ben Arous, Yann LeCun


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Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering


Oct 26, 2014
Apoorv Agarwal, Anna Choromanska, Krzysztof Choromanski


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