2.7k citations · 2.9k across the 18 of their papers we have counts for
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Meta-Learning with Sparse Experience Replay for Lifelong Language Learning
Nithin Holla, Pushkar Mishra, Helen Yannakoudakis +1
Lifelong learning requires models that can continuously learn from sequential streams of data without suffering catastrophic forgetting due to shifts in data distributions. Deep le…
Graph-based Modeling of Online Communities for Fake News Detection
Shantanu Chandra, Pushkar Mishra, Helen Yannakoudakis +3
Over the past few years, there has been a substantial effort towards automated detection of fake news on social media platforms. Existing research has modeled the structure, style,…
Joint Modelling of Emotion and Abusive Language Detection
Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis +1
The rise of online communication platforms has been accompanied by some undesirable effects, such as the proliferation of aggressive and abusive behaviour online. Aiming to tackle…
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla, Pushkar Mishra, Helen Yannakoudakis +1
The success of deep learning methods hinges on the availability of large training datasets annotated for the task of interest. In contrast to human intelligence, these methods lack…
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Pushkar Mishra, Aleksandra Piktus, Gerard Goossen +1
Graph Neural Networks (GNNs) have received a lot of interest in the recent times. From the early spectral architectures that could only operate on undirected graphs per a transduct…