3 citations · 6 across the 4 of their papers we have counts for
5 papers
IMBench: A Benchmark for Intuitive Robotic Manipulation
Anurag Maurya, Sukhvansh Jain, Prajwal Avhad +9
Humans combine reasoning and motor control to solve complex manipulation tasks under diverse constraints. They build an understanding of the physical world that helps them convert…
Bandit Guided Submodular Curriculum for Adaptive Subset Selection
Prateek Chanda, Prayas Agrawal, Saral Sureka +3
Traditional curriculum learning proceeds from easy to hard samples, yet defining a reliable notion of difficulty remains elusive. Prior work has used submodular functions to induce…
Leveraging Emotion-specific Features to Improve Transformer Performance for Emotion Classification
Shaily Desai, Atharva Kshirsagar, Aditi Sidnerlikar +2
This paper describes the approach to the Emotion Classification shared task held at WASSA 2022 by team PVGs AI Club. This Track 2 sub-task focuses on building models which can pred…
Multitask Finetuning for Improving Neural Machine Translation in Indian Languages
Shaily Desai, Atharva Kshirsagar, Manisha Marathe
Transformer based language models have led to impressive results across all domains in Natural Language Processing. Pretraining these models on language modeling tasks and finetuni…
Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification
Amey Hengle, Atharva Kshirsagar, Shaily Desai +1
Since their inception, transformer-based language models have led to impressive performance gains across multiple natural language processing tasks. For Arabic, the current state-o…