1 code implementation • NeurIPS 2023 • Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
Construction of a universal detector poses a crucial question: How can we most effectively train a model on a large mixture of datasets?
no code implementations • WS 2019 • Yash Jain, Chinmay Singh
This paper describes our model for COmmonsense INference in Natural Language Processing (COIN) shared task 1: Commonsense Inference in Everyday Narrations.
1 code implementation • 16 Aug 2020 • Parth Tiwari, Yash Jain, Shivansh Mundra, Jenny Harding, Manoj Kumar Tiwari
The visual appearance of a product significantly influences purchase decisions on e-commerce websites.
no code implementations • 1 Jan 2021 • Brijraj Singh, Yash Jain, Mayukh Das, Praveen Doreswamy Naidu
Latency of DNN (Deep Neural Network) based prediction is the summation of model loading latency and inference latency.
no code implementations • 16 Jul 2021 • Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van Den Broeck, Parag Singla
We work with models which are object-centric, i. e., explicitly work with object representations, and propagate a loss in the latent space.
no code implementations • 23 Aug 2021 • Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti
In recent years, inductive graph embedding models, \emph{viz.
no code implementations • 3 Oct 2021 • Chitrank Gupta, Yash Jain
Graph Retrieval has witnessed continued interest and progress in the past few years.
no code implementations • 1 Feb 2022 • Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur
In this paper, we extend this line of research and present a novel technique called Collaborative Self-Supervised Learning (ColloSSL) which leverages unlabeled data collected from multiple devices worn by a user to learn high-quality features of the data.
no code implementations • 2 Nov 2022 • Zikang Leng, Yash Jain, Hyeokhyen Kwon, Thomas Plötz
In this work we first introduce a measure to quantitatively assess the subtlety of human movements that are underlying activities of interest--the motion subtlety index (MSI)--which captures local pixel movements and pose changes in the vicinity of target virtual sensor locations, and correlate it to the eventual activity recognition accuracy.
no code implementations • 4 Dec 2023 • Sachit Kuhar, Yash Jain, Alexey Tumanov
Efficient inference of Deep Neural Networks (DNNs) on resource-constrained edge devices is essential.
no code implementations • 12 Dec 2023 • Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl
Recently there has been a lot of progress in text-to-video generation, with state-of-the-art models being capable of generating high quality, realistic videos.