Karamjit Singh

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 20

Top Topics

Convolutional Neural Networks

Pairwise Classification

Mutual Information Maximization

Supervised Learning

Top Venues

Publications

Pranav Poduval, Gaurav Oberoi, Sangam Verma, Ayush Agarwal, Karamjit Singh, Siddhartha Asthana
BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning. ECML/PKDD (4) (2023)
Gaurav Oberoi, Pranav Poduval, Karamjit Singh, Sangam Verma, Pranay Gupta
CaPE: Category Preserving Embeddings for Similarity-Search in Financial Graphs. ICAIF (2022)
Piyush Kansal, Nitish Kumar, Sangam Verma, Karamjit Singh, Pranav Pouduval
FLiB: Fair Link Prediction in Bipartite Network. PAKDD (2) (2022)
Nitendra Rajput, Karamjit Singh
Temporal Graph Learning for Financial World: Algorithms, Scalability, Explainability & Fairness. KDD (2022)
Shivshankar Reddy, Pranav Poduval, Anand Vir Singh Chauhan, Maneet Singh, Sangam Verma, Karamjit Singh, Tanmoy Bhowmik
TeGraF: temporal and graph based fraudulent transaction detection framework. ICAIF (2021)
Shivshankar Reddy, Anand Vir Singh Chauhan, Maneet Singh, Karamjit Singh
Semi-supervised Learning for Marked Temporal Point Processes. CoRR (2021)
Sai Abhishek Sara, Maneet Singh, Bhanupriya Pegu, Karamjit Singh
Label-Value Extraction from Documents Using Co-SSL Framework. ADMA (2021)
Bhanupriya Pegu, Maneet Singh, Kamal Kant, Karamjit Singh, Tanmoy Bhowmik
MoDest: Multi-module Design Validation for Documents. COMAD/CODS (2021)
Srikanta Bedathur, Tanmoy Bhowmik, Nitendra Rajput, Karamjit Singh, Maneet Singh
MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. CIKM (2021)
Anand Vir Singh Chauhan, Shivshankar Reddy, Maneet Singh, Karamjit Singh, Tanmoy Bhowmik
Deviation-Based Marked Temporal Point Process for Marker Prediction. ECML/PKDD (1) (2021)
Bhanupriya Pegu, Maneet Singh, Aakash Agarwal, Aniruddha Mitra, Karamjit Singh
Table Structure Recognition Using CoDec Encoder-Decoder. ICDAR Workshops (2) (2021)
Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff
Comparative benchmarking of causal discovery algorithms. COMAD/CODS (2018)
Karamjit Singh, Vishal Sunder
CIKM AnalytiCup 2017 Lazada Product Title Quality Challenge An Ensemble of Deep and Shallow Learning to predict the Quality of Product Titles. CoRR (2018)
Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
Automated Product-Attribute Mapping. PAKDD (Workshops) (2017)
Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
Minimally-Supervised Attribute Fusion for Data Lakes. CoRR (2017)
Gunjan Sehgal, Bindu Gupta, Kaushal Paneri, Karamjit Singh, Geetika Sharma, Gautam Shroff
Crop Planning using Stochastic Visual Optimization. CoRR (2017)
Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal
Deep Convolutional Neural Networks for Pairwise Causality. CoRR (2017)
Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff
Comparative Benchmarking of Causal Discovery Techniques. CoRR (2017)
Bindu Gupta, Kaushal Paneri, Gunjan Sehgal, Karamjit Singh, Geetika Sharma, Gautam Shroff
Visual Statistical Analysis of Environmental Sensor Data. VAST (2017)
Karamjit Singh, Kaushal Paneri, Aditeya Pandey, Garima Gupta, Geetika Sharma, Puneet Agarwal, Gautam Shroff
Visual Bayesian fusion to navigate a data lake. FUSION (2016)
Rahul Agrawal, Anirban Chakraborti, Karamjit Singh, Gautam Shroff, Venkatesh Sarangan
Group-Based Pricing to Shape Demand in Real-Time Electricity Markets. EUMAS/AT (2015)
Karamjit Singh, Gautam Shroff, Puneet Agarwal
Predictive reliability mining for early warnings in populations of connected machines. DSAA (2015)
Gautam Shroff, Puneet Agarwal, Karamjit Singh, Auon Haidar Kazmi, Sapan Shah, Avadhut Sardeshmukh
Prescriptive information fusion. FUSION (2014)
Karamjit Singh, Puneet Agarwal, Gautam Shroff
Warranty Cost Estimation Using Bayesian Network. CoRR (2014)