29 citations · 29 across the 5 of their papers we have counts for
5 papers
MIDR: Enrichment-Augmented Indexing for Multimodal Document Retrieval
Debanjan Mahata, Atharva Tendle, Daniel Preotiuc-Pietro +2
Retrieval over visually rich documents has a representation problem: important content often lives in tables, charts, figures, and layout relations that plain OCR linearizes, corru…
Leveraging Contextual Information for Effective Entity Salience Detection
Rajarshi Bhowmik, Marco Ponza, Atharva Tendle +5
In text documents such as news articles, the content and key events usually revolve around a subset of all the entities mentioned in a document. These entities, often deemed as sal…
A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle, Mohammad Rashedul Hasan
Recent advancements in self-supervised learning (SSL) made it possible to learn generalizable visual representations from unlabeled data. The performance of Deep Learning models fi…
WeightScale: Interpreting Weight Change in Neural Networks
Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka +1
Interpreting the learning dynamics of neural networks can provide useful insights into how networks learn and the development of better training and design approaches. We present a…
Investigating Learning in Deep Neural Networks using Layer-Wise Weight Change
Ayush Manish Agrawal, Atharva Tendle, Harshvardhan Sikka +2
Understanding the per-layer learning dynamics of deep neural networks is of significant interest as it may provide insights into how neural networks learn and the potential for bet…