168 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indian Institute of Science BangaloreIN29 papers
- Indian Institute of Management BangaloreIN24 papers
- Sorbonne University Abu DhabiAE6 papers
- Amrita Vishwa VidyapeethamIN3 papers
- Duke-NUS Medical SchoolSG2 papers
- IBM (India)IN2 papers
- Indian Institute of Technology BombayIN2 papers
- Indian Institute of Technology GuwahatiIN2 papers
- Indian Institute of Technology KharagpurIN2 papers
- Kyushu UniversityJP2 papers
- National University of SingaporeSG2 papers
- Sorbonne UniversitéFR2 papers
8 papers · 1 filter
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…
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…
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…
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…
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…
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,…
TensAIR: Real-Time Training of Neural Networks from Data-streams
Mauro D. L. Tosi, Vinu E. Venugopal, Martin Theobald
Online learning (OL) from data streams is an emerging area of research that encompasses numerous challenges from stream processing, machine learning, and networking. Stream-process…
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar +1
Infectious diseases remain among the top contributors to human illness and death worldwide, among which many diseases produce epidemic waves of infection. The unavailability of spe…