Ameya Prabhu
University of Tübingen(DE)
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Advanced Neural Network Applications
Most-Cited Works
- → GDumb: A Simple Approach that Questions Our Progress in Continual Learning(2020)445 cited
- Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text(2016)
- → Towards Sub-Word Level Compositions for Sentiment Analysis of\n Hindi-English Code Mixed Text(2016)69 cited
- → Sampling Bias in Deep Active Classification: An Empirical Study(2019)46 cited
- → Computationally Budgeted Continual Learning: What Does Matter?(2023)33 cited
- → Real-Time Evaluation in Online Continual Learning: A New Hope(2023)32 cited
- → Simple Unsupervised Multi-Object Tracking(2020)23 cited
- → Inverse Scaling: When Bigger Isn't Better(2023)22 cited
- → Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Scarcity(2016)18 cited