Amila Silva

According to our database, Amila Silva authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick using Cosmetic Attributes.

Amila Silva, Olga Moskvyak, Alexander Long, Ravi Garg, Stephen Gould, Gil Avraham, Anton van den Hengel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals.

Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

CoRR, 2023

2022

Enhancing Deep Multimodal Representation: Online, Noise-robust and Unsupervised Learning.

Amila Silva

PhD thesis, 2022

Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels.

Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

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

2021

Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection.

Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie

Inf. Process. Manag., 2021

Knowledge Enhanced Multi-modal Fake News Detection.

Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

CoRR, 2021

On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation.

Amila Silva, Pei-Chi Lo, Ee-Peng Lim

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data.

Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

OMBA: User-Guided Product Representations for Online Market Basket Analysis.

Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

JPLink: On Linking Jobs to Vocational Interest Types.

Amila Silva, Pei-Chi Lo, Ee-Peng Lim

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams.

Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Embedding Partial Propagation Network for Fake News Early Detection.

Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

2019

On Learning Word Embeddings From Linguistically Augmented Text Corpora.

Amila Silva, Chathurika Amarathunga

Proceedings of the 13th International Conference on Computational Semantics, 2019

USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity.

Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions.

Aaron Harwood, Shanika Karunasekera, Michelle Vanni, Lucia Falzon, Prarthana Padia, Amila Silva

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP).

Peter Phandi, Amila Silva, Wei Lu

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018