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20082026
most citedTen Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

168 citations

Showing 2023Show all

8 papers · 1 filter

eess.IV2023

Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning

Debanjali Bhattacharya, Neelam Sinha, Yashwanth R. +1

This study proposes a new approach that investigates differences in topological characteristics of visual networks, which are constructed using fMRI BOLD time-series corresponding…

cs.LG2023★ 168 cited

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

Tanujit Chakraborty, Ujjwal Reddy K S, Shraddha M. Naik +2

Since their inception in 2014, Generative Adversarial Networks (GANs) have rapidly emerged as powerful tools for generating realistic and diverse data across various domains, inclu…

cs.CR2023★ 56 cited

An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity

Deepika Saxena, Ishu Gupta, Rishabh Gupta +2

Cloud virtualization technology, ingrained with physical resource sharing, prompts cybersecurity threats on users' virtual machines (VM)s due to the presence of inevitable vulnerab…

cs.LG2023★ 160 cited

3HAN: A Deep Neural Network for Fake News Detection

Sneha Singhania, Nigel Fernandez, Shrisha Rao

The rapid spread of fake news is a serious problem calling for AI solutions. We employ a deep learning based automated detector through a three level hierarchical attention network…

cs.LG2023★ 13 cited

Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model

Rahisha Thottolil, Uttam Kumar, Tanujit Chakraborty

The rapid urbanization trend in most developing countries including India is creating a plethora of civic concerns such as loss of green space, degradation of environmental health,…

cs.CL2023

CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation

Rahul Madhavan, Rishabh Garg, Kahini Wadhawan +1

We propose a method to control the attributes of Language Models (LMs) for the text generation task using Causal Average Treatment Effect (ATE) scores and counterfactual augmentati…

cs.MA2023★ 2 cited

A Communication-efficient Local Differentially Private Algorithm in Federated Optimization

Syed Eqbal Alam, Dhirendra Shukla, Shrisha Rao

Federated optimization, wherein several agents in a network collaborate with a central server to achieve optimal social cost over the network with no requirement for exchanging inf…

cs.CC2023★ 1 cited

Coloring a Dominating Set Without Conflicts: q-Subset Square Coloring

V P Abidha, Pradeesha Ashok, Avi Tomar +1

The \emph{Square Colouring} of a graph refers to colouring of vertices of a graph such that any two distinct vertices which are at distance at most two receive different colour…