43 citations · 43 across the 2 of their papers we have counts for
4 papers
Why Antiwork: A RoBERTa-Based System for Work-Related Stress Identification and Leading Factor Analysis
Tao Lu, Muzhe Wu, Xinyi Lu +4
Harsh working environments and work-related stress have been known to contribute to mental health problems such as anxiety, depression, and suicidal ideation. As such, it is paramo…
Few-Shot Batch Incremental Road Object Detection via Detector Fusion
Anuj Tambwekar, Kshitij Agrawal, Anay Majee +1
Incremental few-shot learning has emerged as a new and challenging area in deep learning, whose objective is to train deep learning models using very few samples of new class data,…
Speech Denoising Without Clean Training Data: A Noise2Noise Approach
Madhav Mahesh Kashyap, Anuj Tambwekar, Krishnamoorthy Manohara +1
This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio-denoising methods by showing that it is possible to train deep spe…
Estimation and Applications of Quantiles in Deep Binary Classification
Anuj Tambwekar, Anirudh Maiya, Soma Dhavala +1
Quantile regression, based on check loss, is a widely used inferential paradigm in Econometrics and Statistics. The conditional quantiles provide a robust alternative to classical…