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← Authors

Subhashini Venugopalan

20 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (45) 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ‘₯ Mega-Team (30) πŸ† Keyword Champion πŸ’Ž Century Club (20) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (88) ❓ The Questioner πŸš€ Conference Pioneer

Conferences

CVPR (5) ICLR (3) NAACL (3) ICCV (2) INTERSPEECH (2) NIPS (2) ACL (1) COLING (1) EMNLP (1)

Top co-authors

Kate Saenko (8) Raymond Mooney (7) Marcus Rohrbach (5) Trevor Darrell (5) Lisa Anne Hendricks (4) Michael Brenner (3) Sergio Guadarrama (3) Joel Shor (3) Xuxi Chen (2) Katrin Tomanek (2)

Research topics

Applications (1) Education (1)

Keywords

zero-shot learning (4) image captioning (3) representation learning (2) video description (2) saliency map (2) text generation (2) convolutional neural network (2) automatic speech recognition (2) integrated gradient (2) speech representation (2) language model (2) self-supervised learning (2) neural network (2) natural language generation (1) knowledge distillation (1) transfer learning (1) video captioning (1) few-shot learning (1) lottery ticket hypothesis (1) video recognition (1)

Papers

Towards AI-assisted Academic Writing NAACL 2025 CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning ICLR 2025 SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers NIPS 2024 Is Attention All That NeRF Needs? ICLR 2023 Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings ACL 2023 Sparse Winning Tickets are Data-Efficient Image Recognizers NIPS 2022 TRILLsson: Distilled Universal Paralinguistic Speech Representations INTERSPEECH 2022 Context-Aware Abbreviation Expansion Using Large Language Models NAACL 2022 Scaling Symbolic Methods using Gradients for Neural Model Explanation ICLR 2021 Guided Integrated Gradients: An Adaptive Path Method for Removing Noise CVPR 2021 Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases INTERSPEECH 2021 Attribution in Scale and Space CVPR 2020 Captioning Images With Diverse Objects CVPR 2017 Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text EMNLP 2016 Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data CVPR 2016 Sequence to Sequence - Video to Text ICCV 2015 Long-Term Recurrent Convolutional Networks for Visual Recognition and Description CVPR 2015 Translating Videos to Natural Language Using Deep Recurrent Neural Networks NAACL 2015 Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild COLING 2014 YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition ICCV 2013