Anna Choromanska

Anna Choromanska

New York University

H-index: 24

North America-United States

About Anna Choromanska

Anna Choromanska, With an exceptional h-index of 24 and a recent h-index of 21 (since 2020), a distinguished researcher at New York University, specializes in the field of machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models

Automatic document classification via transformers for regulations compliance management in large utility companies

ERASE-Net: Efficient segmentation networks for automotive radar signals

DNN patching: progressive fixing and augmenting the functionalities of DNNs for autonomous vehicles

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization

TAME: Task Agnostic Continual Learning using Multiple Experts

Backdoor attacks on the DNN interpretation system

Low-pass filtering sgd for recovering flat optima in the deep learning optimization landscape

Anna Choromanska Information

University

Position

___

Citations(all)

5134

Citations(since 2020)

3802

Cited By

2984

hIndex(all)

24

hIndex(since 2020)

21

i10Index(all)

36

i10Index(since 2020)

34

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Anna Choromanska Skills & Research Interests

machine learning

Top articles of Anna Choromanska

Title

Journal

Author(s)

Publication Date

GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models

Tolga Dimlioglu

Anna Choromanska

2024/4/18

Automatic document classification via transformers for regulations compliance management in large utility companies

Neural Computing and Applications

Tolga Dimlioglu

Jing Wang

Devansh Bisla

Anna Choromanska

Simon Odie

...

2023/8

ERASE-Net: Efficient segmentation networks for automotive radar signals

Shihong Fang

Haoran Zhu

Devansh Bisla

Anna Choromanska

Satish Ravindran

...

2023/5/29

DNN patching: progressive fixing and augmenting the functionalities of DNNs for autonomous vehicles

IEEE Robotics and Automation Letters

Apoorva Nandini Saridena

Anna Choromanska

2022/1/25

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization

Yunfei Teng

Anna Choromanska

Murray Campbell

Songtao Lu

Parikshit Ram

...

2022

TAME: Task Agnostic Continual Learning using Multiple Experts

arXiv preprint arXiv:2210.03869

Haoran Zhu

Maryam Majzoubi

Arihant Jain

Anna Choromanska

2022/10/8

Backdoor attacks on the DNN interpretation system

Proceedings of the AAAI Conference on Artificial Intelligence

Shihong Fang

Anna Choromanska

2022/6/28

Low-pass filtering sgd for recovering flat optima in the deep learning optimization landscape

Devansh Bisla

Jing Wang

Anna Choromanska

2022/5/3

AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop

arXiv preprint arXiv:2111.15317

Yunfei Teng

Jing Wang

Anna Choromanska

2021/11/30

A theoretical-empirical approach to estimating sample complexity of dnns

Devansh Bisla

Apoorva Nandini Saridena

Anna Choromanska

2021

Learning-based real-time process-aware anomaly monitoring for assured autonomy

IEEE Transactions on Intelligent Vehicles

Naman Patel

Apoorva Nandini Saridena

Anna Choromanska

Prashanth Krishnamurthy

Farshad Khorrami

2020/5/25

Learning to score behaviors for guided policy optimization

Aldo Pacchiano

Jack Parker-Holder

Yunhao Tang

Krzysztof Choromanski

Anna Choromanska

...

2020/11/21

SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions

NeurIPS OPT

Jing Wang

Anna Choromanska

2020/11/3

Ldsm: Logarithm-depth streaming multi-label decision trees

Maryam Majzoubi

Anna Choromanska

2020/6/3

Continual learning with direction-constrained optimization

NeurIPS Workshop on Meta-Learning

Yunfei Teng

Anna Choromanska

Murray Campbell

2020/11/25

Multi-modal experts network for autonomous driving

Shihong Fang

Anna Choromanska

2020/5/31

Approximating Ground State Energies and Wave Functions of Physical Systems with Neural Networks

Cesar Lema

Anna Choromanska

2020/11/21

See List of Professors in Anna Choromanska University(New York University)