P. K. Srijith

According to our database, P. K. Srijith authored at least 55 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Monte Carlo DropBlock for modeling uncertainty in object detection.

Sai Harsha Yelleni, Deepshikha Kumari, Srijith P. K, Krishna Mohan C

Pattern Recognit., February, 2024

Linked Adapters: Linking Past and Future to Present for Effective Continual Learning.

Dupati Srikar Chandra, P. K. Srijith, Dana Rezazadegan, Chris McCarthy

CoRR, 2024

Transformer based Multitask Learning for Image Captioning and Object Detection.

Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

TL-CL: Task And Language Incremental Continual Learning.

Shrey Satapara, P. K. Srijith

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Continual Learning with Dependency Preserving Hypernetworks.

Dupati Srikar Chandra, Sakshi Varshney, P. K. Srijith, Sunil Gupta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Continuous Depth Recurrent Neural Differential Equations.

Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

DialoGen: Generalized Long-Range Context Representation for Dialogue Systems.

Maunendra Sankar Desarkar Suvodip Dey, Asif Ekbal, P. K. Srijith

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Time-to-Event Modeling with Hypernetwork based Hawkes Process.

Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation.

Shubham Jain, Srijith P. K

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Event Uncertainty using Ensemble Neural Hawkes Process.

Manisha Dubey, Ragja Palakkadavath, P. K. Srijith

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

Towards Generalized and Explainable Long-Range Context Representation for Dialogue Systems.

Suvodip Dey, Maunendra Sankar Desarkar, P. K. Srijith

CoRR, 2022

HyperHawkes: Hypernetwork based Neural Temporal Point Process.

Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar

CoRR, 2022

Galaxy morphology classification using neural ordinary differential equations.

R. Gupta, P. K. Srijith, Shantanu Desai

Astron. Comput., 2022

Cosmic Ray rejection with attention augmented deep learning.

Srinadh Reddy Bhavanam, Sumohana S. Channappayya, P. K. Srijith, Shantanu Desai

Astron. Comput., 2022

Hawkes Process Classification through Discriminative Modeling of Text.

Rohan Tondulkar, Manisha Dubey, P. K. Srijith, Michal Lukasik

Proceedings of the International Joint Conference on Neural Networks, 2022

Predicting Reputation Score of Users in Stack-overflow with Alternate Data.

Sahil Yerawar, Sagar Jinde, P. K. Srijith, Maunendra Sankar Desarkar, K. M. Annervaz, Shubhashis Sengupta

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Cosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation.

Srinadh Reddy Bhavanam, Sumohana S. Channappayya, P. K. Srijith, Shantanu Desai

Proceedings of the 30th European Signal Processing Conference, 2022

Latent Time Neural Ordinary Differential Equations.

Srinivas Anumasa, P. K. Srijith

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Bayesian Neural Hawkes Process for Event Uncertainty Prediction.

Manisha Dubey, Ragja Palakkadavath, P. K. Srijith

CoRR, 2021

Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification.

Maunika Tamire, Srinivas Anumasa, P. K. Srijith

CoRR, 2021

Monte Carlo DropBlock for Modelling Uncertainty in Object Detection.

Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith, C. Krishna Mohan

CoRR, 2021

Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations.

Srinivas Anumasa, P. K. Srijith

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Traffic Incident Duration Prediction using BERT Representation of Text.

Prashansa Agrawal, A. Antony Franklin, Digvijay S. Pawar, Srijith P. K

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Subset-of-data variational inference for deep Gaussian-processes regression.

Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks.

Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Delay Differential Neural Networks.

Srinivas Anumasa, P. K. Srijith

Proceedings of the ICMLT 2021: 6th International Conference on Machine Learning Technologies, Jeju Island, Republic of Korea, April 23, 2021

Adiabatic Quantum Feature Selection for Sparse Linear Regression.

Surya Sai Teja Desu, P. K. Srijith, M. V. Panduranga Rao, Naveen Sivadasan

Proceedings of the Computational Science - ICCS 2021, 2021

Bayesian Generative Adversarial Nets with Dropout Inference.

Ragja Palakkadavath, P. K. Srijith

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence.

P. Jayashree, Ballijepalli Shreya, P. K. Srijith

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Multi-view hypergraph convolution network for semantic annotation in LBSNs.

Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces.

Ankita Likhyani, Vinayak Gupta, Srijith P. K, Deepak P, Srikanta Bedathur

CoRR, 2020

Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes.

Ankita Likhyani, Vinayak Gupta, Srijith P. K, Deepak P, Srikanta Bedathur

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Evaluation of Deep Gaussian Processes for Text Classification.

P. Jayashree, P. K. Srijith

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse.

Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel.

Harsh Raj, Suvodip Dey, Hiransh Gupta, P. K. Srijith

Proceedings of the Neural Information Processing - 27th International Conference, 2020

HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process.

Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Decision Making under Uncertainty with Convolutional Deep Gaussian Processes.

Dinesh Jain, Srinivas Anumasa, P. K. Srijith

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019

Leveraging Social Media Towards Understanding Anti-Vaccination Campaigns.

Uddipta Bhattacharjee, P. K. Srijith, Maunendra Sankar Desarkar

Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

Term Specific TF-IDF Boosting for Detection of Rumours in Social Networks.

Uddipta Bhattacharjee, Srijith P. K, Maunendra Sankar Desarkar

Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

2018

Deep Gaussian Processes with Convolutional Kernels.

Vinayak Kumar, Vaibhav Singh, P. K. Srijith, Andreas C. Damianou

CoRR, 2018

A Bayesian Point Process Model for User Return Time Prediction in Recommendation Systems.

Sherin Thomas, P. K. Srijith, Michal Lukasik

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Accelerating Hawkes process for event history data: Application to social networks and recommendation systems.

Ashwin Ram, P. K. Srijith

Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach.

Shamik Kundu, P. K. Srijith, Maunendra Sankar Desarkar

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Sub-story detection in Twitter with hierarchical Dirichlet processes.

P. K. Srijith, Mark Hepple, Kalina Bontcheva, Daniel Preotiuc-Pietro

Inf. Process. Manag., 2017

Longitudinal Modeling of Social Media with Hawkes Process Based on Users and Networks.

P. K. Srijith, Michal Lukasik, Kalina Bontcheva, Trevor Cohn

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.

P. K. Srijith, Balamurugan Palaniappan, Shirish K. Shevade

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection.

Daniel Preotiuc-Pietro, P. K. Srijith, Mark Hepple, Trevor Cohn

Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter.

Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Modeling Tweet Arrival Times using Log-Gaussian Cox Processes.

Michal Lukasik, P. K. Srijith, Trevor Cohn, Kalina Bontcheva

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.

P. K. Srijith, Balamurugan P., Shirish K. Shevade

CoRR, 2014

Gaussian Process Multi-task Learning Using Joint Feature Selection.

P. K. Srijith, Shirish K. Shevade

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Semi-supervised Gaussian Process Ordinal Regression.

P. K. Srijith, Shirish K. Shevade, S. Sundararajan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

Validation Based Sparse Gaussian Processes for Ordinal Regression.

P. K. Srijith, Shirish K. Shevade, S. Sundararajan

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multi-Task Learning Using Shared and Task Specific Information.

P. K. Srijith, Shirish K. Shevade

Proceedings of the Neural Information Processing - 19th International Conference, 2012

A Probabilistic Least Squares Approach to Ordinal Regression.

P. K. Srijith, Shirish K. Shevade, S. Sundararajan

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012