no code implementations • 14 Nov 2023 • Kushal Jain, Moritz Miller, Niket Tandon, Kumar Shridhar
Language models can solve complex reasoning tasks better by learning to generate rationales for their predictions.
no code implementations • 26 Sep 2023 • Kushal Jain, Ankith Varun J, Anoop Namboodiri
This paper presents an innovative approach to achieve face cartoonisation while preserving the original identity and accommodating various poses.
no code implementations • 30 Mar 2023 • Subhrangshu Adhikary, Kushal Jain, Biswajit Saha, Deepraj Chowdhury
Electroencephalogram (EEG) is a very promising and widely implemented procedure to study brain signals and activities by amplifying and measuring the post-synaptical potential arising from electrical impulses produced by neurons and detected by specialized electrodes attached to specific points in the scalp.
no code implementations • 26 Sep 2022 • Đorđe Miladinović, Kumar Shridhar, Kushal Jain, Max B. Paulus, Joachim M. Buhmann, Mrinmaya Sachan, Carl Allen
In principle, applying variational autoencoders (VAEs) to sequential data offers a method for controlled sequence generation, manipulation, and structured representation learning.
1 code implementation • 4 Nov 2020 • Kushal Jain, Adwait Deshpande, Kumar Shridhar, Felix Laumann, Ayushman Dash
Language models based on the Transformer architecture have achieved state-of-the-art performance on a wide range of NLP tasks such as text classification, question-answering, and token classification.