Zobrazeno 1 - 10
of 414
pro vyhledávání: '"Gupta,Rohan"'
Mechanistic interpretability methods aim to identify the algorithm a neural network implements, but it is difficult to validate such methods when the true algorithm is unknown. This work presents InterpBench, a collection of semi-synthetic yet realis
Externí odkaz:
http://arxiv.org/abs/2407.14494
Robot evaluations in language-guided, real world settings are time-consuming and often sample only a small space of potential instructions across complex scenes. In this work, we introduce contrast sets for robotics as an approach to make small, but
Externí odkaz:
http://arxiv.org/abs/2406.13636
Autor:
Gupta, Rohan Kumar, Sinha, Rohit
Self-supervised learning (SSL) has been investigated to generate task-agnostic representations across various domains. However, such investigation has not been conducted for detecting multiple mental disorders. The rationale behind the existence of a
Externí odkaz:
http://arxiv.org/abs/2403.15170
Autor:
Gupta, Rohan
In recent years, end to end steering prediction for autonomous vehicles has become a major area of research. The primary method for achieving end to end steering was to use computer vision models on a live feed of video data. However, to further incr
Externí odkaz:
http://arxiv.org/abs/2310.14162
Autor:
Poddar, Sidhantha, Gupta, Rohan
Script identification and text recognition are some of the major domains in the application of Artificial Intelligence. In this era of digitalization, the use of digital note-taking has become a common practice. Still, conventional methods of using p
Externí odkaz:
http://arxiv.org/abs/2308.05780
Autor:
Gupta, Rohan Kumar, Sinha, Rohit
The primary method for identifying mental disorders automatically has traditionally involved using binary classifiers. These classifiers are trained using behavioral data obtained from an interview setup. In this training process, data from individua
Externí odkaz:
http://arxiv.org/abs/2308.05133
Autor:
Gupta, Rohan Kumar, Sinha, Rohit
Several studies have been reported in the literature for the automatic detection of mental disorders. It is reported that mental disorders are highly correlated. The exploration of this fact for the automatic detection of mental disorders is yet to e
Externí odkaz:
http://arxiv.org/abs/2208.02463
Autor:
Gupta, Rohan Kumar, Sinha, Rohit
Publikováno v:
In Computer Speech & Language January 2025 89
Publikováno v:
In Internet of Things April 2024 25
This paper describes our contribution to the WASSA 2021 shared task on Empathy Prediction and Emotion Classification. The broad goal of this task was to model an empathy score, a distress score and the overall level of emotion of an essay written in
Externí odkaz:
http://arxiv.org/abs/2104.09827