Papers by Vinay Namboodiri
Multimodal Differential Network for Visual Question Generation (D18-1)
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| Challenge: | Current dialog systems show improvement in visual question answering but this does not translate to improved human-AI dialog. |
| Approach: | They propose to use a Multimodal Differential Network to generate natural questions from images using a multimodal differential network. |
| Outcome: | The proposed approach significantly improves over state-of-the-art benchmarks on the quantitative metrics. |
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator (C18-1)
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| Challenge: | a novel method for obtaining sentence-level embeddings is proposed . the problem of obtaining a semantic embeddable sentence is at the core of understanding languages . |
| Approach: | They propose a method for obtaining sentence-level embeddings by using a sequential encoder-decoder framework. |
| Outcome: | The proposed method outperforms the state-of-the-art on a sentiment analysis task. |
More Parameters? No Thanks! (2021.findings-acl)
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| Challenge: | Using network pruning, we find that there are large redundancies in MNMT models. |
| Approach: | They propose a method to prune and retrain redundant parameters of an MNMT model to improve bilingual representations while retaining multilinguality. |
| Outcome: | The proposed method improves bilingual representations while retaining multilinguality. |
CVIT’s submissions to WAT-2019 (D19-52)
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| Challenge: | In this paper, we explore multiway-models for Indian languages. |
| Approach: | They propose to use a Transformer architecture to experiment with multilingual models and methods for low-resource languages. |
| Outcome: | The proposed system is feasible in low-resource languages. |