Rahul Duggal | DeepAI

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∙ 08/30/2023

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

Our research aims to unify existing works' diverging opinions on how arc...

0 Shengyun Peng, et al. ∙

∙ 01/08/2023

RobArch: Designing Robust Architectures against Adversarial Attacks

Adversarial Training is the most effective approach for improving the ro...

0 Shengyun Peng, et al. ∙

∙ 09/30/2022

IMB-NAS: Neural Architecture Search for Imbalanced Datasets

Class imbalance is a ubiquitous phenomenon occurring in real world data ...

0 Rahul Duggal, et al. ∙

∙ 09/27/2022

Towards Regression-Free Neural Networks for Diverse Compute Platforms

With the shift towards on-device deep learning, ensuring a consistent be...

0 Rahul Duggal, et al. ∙

∙ 03/30/2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training

Deep neural networks (DNNs) have been widely used for decision making, p...

5 Haekyu Park, et al. ∙

∙ 08/29/2021

NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks

Existing research on making sense of deep neural networks often focuses ...

26 Haekyu Park, et al. ∙

∙ 05/13/2021

Compatibility-aware Heterogeneous Visual Search

We tackle the problem of visual search under resource constraints. Exist...

11 Rahul Duggal, et al. ∙

∙ 01/31/2021

MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software

Computer vision is playing an increasingly important role in automated m...

0 Scott Freitas, et al. ∙

∙ 06/22/2020

ELF: An Early-Exiting Framework for Long-Tailed Classification

The natural world often follows a long-tailed data distribution where on...

7 Rahul Duggal, et al. ∙

∙ 01/29/2020

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild

In recent years, significant attention has been devoted towards integrat...

116 Rahul Duggal, et al. ∙

∙ 11/19/2019

CUP: Cluster Pruning for Compressing Deep Neural Networks

We propose Cluster Pruning (CUP) for compressing and accelerating deep n...

0 Rahul Duggal, et al. ∙

∙ 02/18/2019

2017 Robotic Instrument Segmentation Challenge

In mainstream computer vision and machine learning, public datasets such...

14 Max Allan, et al. ∙

∙ 12/15/2016

Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network

Image-matched nonseparable wavelets can find potential use in many appli...

0 Naushad Ansari, et al. ∙

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