Visual Question Answering using Explicit Visual Attention
Vasileios Lioutas, Nikolaos Passalis, and Anastasios Tefas
Proceedings of the 2018 IEEE International Symposium on Circuits and Systems (ISCAS)
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Explicit ensemble attention learning for improving visual question answering
Vasileios Lioutas, Nikolaos Passalis, and Anastasios Tefas
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Vasileios Lioutas, and Andriy Drozdyuk
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On Compressing The Embedding Matrix Of Language Models For Edge Deployment
Vasileios Lioutas, Ahmad Rashid, and Krtin Kumar
Time-aware Large Kernel Convolutions
Vasileios Lioutas, and Yuhong Guo
Proceedings of the 2020 37th International Conference on Machine Learning (ICML)
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Mapping Low-Resolution Images To Multiple High-Resolution Images Using Non-Adversarial Mapping
Vasileios Lioutas
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Sequence Modeling with Time-aware Large Kernel Convolutions
Vasileios Lioutas, and Yuhong Guo
Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition
Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, and Mehdi Rezagholizadeh
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Towards Zero-Shot Knowledge Distillation for Natural Language Processing
Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar and Mehdi Rezagholizadeh
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Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni and Frank Wood
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MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
Ahmad Rashid, Vasileios Lioutas and Mehdi Rezagholizadeh
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