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portfolio
NN_From_Scratch [Code]
Developing a personal library for deep learning models without using torch.nn. Starting from gradient descent on a linear layer, all the way to training published model architectures.
publications
Continual Learning for Singing Voice Separation with Human in the Loop Adaptation
A. Gupta*, A. Rai*, A. Bansal* and V. Arora. In The 26th International Symposium on Frontiers of Research in Speech and Music (FRSM), 2021.
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Impact of working memory on patch foraging
K. Kumar, A. Joshi, A. Bansal, A. Modi and A. Ramakrishnanan. Abstract In The 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2022.
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IITK@Detox at SemEval-2021 Task 5: Semi-Supervised Learning and Dice Loss for Toxic Spans Detection
A. Bansal, A. Kaushik, and A. Modi. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 211–219, Online. Association for Computational Linguistics.
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talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Tutorial 1 on Relevant Topic in Your Field
Talk 2 on Relevant Topic in Your Field
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
This is a description of a teaching experience. You can use markdown like any other post.