Publications
You can also find my publications on Google Scholar and dblp .
You find my publications also organised by type.
Year of Publication
2021
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni and Frank Wood:
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
arXiv:2104.11212.
2020
Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar and Mehdi Rezagholizadeh:
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
arXiv:2012.15495.Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, and Mehdi Rezagholizadeh:
Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition
Empirical Methods in Natural Language Processing (EMNLP), Findings of EMNLP, ACL.Vasileios Lioutas, and Yuhong Guo:
Sequence Modeling with Time-aware Large Kernel Convolutions
Montreal AI Symposium.Vasileios Lioutas:
Mapping Low-Resolution Images To Multiple High-Resolution Images Using Non-Adversarial Mapping
arXiv:2006.11708.Vasileios Lioutas, and Yuhong Guo:
Time-aware Large Kernel Convolutions
37th International Conference on Machine Learning (ICML).Vasileios Lioutas, Ahmad Rashid, and Krtin Kumar:
On Compressing The Embedding Matrix Of Language Models For Edge Deployment
Edge Intelligence Workshop.
2019
Vasileios Lioutas, and Andriy Drozdyuk:
Copy this Sentence
arXiv:1905.09856.
2018
Vasileios Lioutas, Nikolaos Passalis, and Anastasios Tefas:
Explicit ensemble attention learning for improving visual question answering
Pattern Recognition Letters, Volume 111, 1 August 2018, Pages 51-57.Vasileios Lioutas, Nikolaos Passalis, and Anastasios Tefas:
Visual Question Answering using Explicit Visual Attention
2018 IEEE International Symposium on Circuits and Systems (ISCAS).