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

168 citations

Showing 2024Show all

11 papers · 1 filter

physics.flu-dyn2024

Effect of time-dependent sinusoidal electric field on the onset of electroconvection in a viscoelastic fluid layer

C. Rudresha, C. Balaji, V. Vidya Shree +1

Time-periodic electric field modulation of a viscoelastic dielectric fluid layer heated from below and cooled from above is examined using an Oldroyd-B type liquid. On the basis of…

cs.AI2024

ScaleViz: Scaling Visualization Recommendation Models on Large Data

Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra +4

Automated visualization recommendations (vis-rec) help users to derive crucial insights from new datasets. Typically, such automated vis-rec models first calculate a large number o…

cs.LG2024★ 2 cited

Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model

Subhadip Nandi, Neeraj Agrawal

Few-Shot Cross-Domain NER is the process of leveraging knowledge from data-rich source domains to perform entity recognition on data scarce target domains. Most previous state-of-t…

cs.NE2024★ 3 cited

MC-QDSNN: Quantized Deep evolutionary SNN with Multi-Dendritic Compartment Neurons for Stress Detection using Physiological Signals

Ajay B S, Phani Pavan K, Madhav Rao

Long short-term memory (LSTM) has emerged as a definitive network for analyzing and inferring time series data. LSTM has the capability to extract spectral features and a mixture o…

cs.AI2024★ 3 cited

Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space

Rajesh Mangannavar, Gopalakrishnan Srinivasaraghavan

Among the many variants of RL, an important class of problems is where the state and action spaces are continuous -- autonomous robots, autonomous vehicles, optimal control are all…

cs.LG2024

Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models

Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar +1

Continual learning (CL) enables models to adapt to evolving data streams without catastrophic forgetting, a fundamental requirement for real-world AI systems. However, the current…

cs.LG2024★ 5 cited

Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention

Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra +3

Spatiotemporal forecasting of traffic flow data represents a typical problem in the field of machine learning, impacting urban traffic management systems. In general, spatiotempora…

cs.AR2024★ 6 cited

HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond

Stefan Abi-Karam, Rishov Sarkar, Allison Seigler +7

Machine learning (ML) techniques have been applied to high-level synthesis (HLS) flows for quality-of-result (QoR) prediction and design space exploration (DSE). Nevertheless, the…

q-bio.NC2024

Towards understanding the nature of direct functional connectivity in visual brain network

Debanjali Bhattacharya, Neelam Sinha

Recent advances in neuroimaging have enabled studies in functional connectivity (FC) of human brain, alongside investigation of the neuronal basis of cognition. One important FC st…

cs.CG2024

An Algorithm for Fast and Correct Computation of Reeb Spaces for PL Bivariate Fields

Amit Chattopadhyay, Yashwanth Ramamurthi, Osamu Saeki

The Reeb space is a fundamental data structure in computational topology that represents the fiber topology of a multi-field (or multiple scalar fields), extending the level set to…

cs.MA2024

An Identity Based Agent Model for Value Alignment

Karthik Sama, Janvi Chhabra, Arpitha Srivatsha Malavalli +2

Social identities play an important role in the dynamics of human societies, and it can be argued that some sense of identification with a larger cause or idea plays a critical rol…