7 citations · 13 across the 8 of their papers we have counts for
8 papers
SCOPE: Language Models as One-Time Teacher for Hierarchical Planning in Text Environments
Haoye Lu, Pavan Seshadri, Kaheer Suleman
Long-term planning in complex, text-based environments presents significant challenges due to open-ended action spaces, ambiguous observations, and sparse feedback. Recent research…
Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition
Karn N. Watcharasupat, Yiwei Ding, T. Aleksandra Ma +2
Any data annotation for subjective tasks shows potential variations between individuals. This is particularly true for annotations of emotional responses to musical stimuli. While…
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning
Pavan Seshadri, Shahrzad Shashaani, Peter Knees
Modern music streaming services are heavily based on recommendation engines to serve content to users. Sequential recommendation -- continuously providing new items within a single…
Understanding Pedestrian Movement Using Urban Sensing Technologies: The Promise of Audio-based Sensors
Chaeyeon Han, Pavan Seshadri, Yiwei Ding +5
While various sensors have been deployed to monitor vehicular flows, sensing pedestrian movement is still nascent. Yet walking is a significant mode of travel in many cities, espec…
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation
Pavan Seshadri, Peter Knees
Music streaming services heavily rely on their recommendation engines to continuously provide content to their consumers. Sequential recommendation consequently has seen considerab…
ASPED: An Audio Dataset for Detecting Pedestrians
Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo +3
We introduce the new audio analysis task of pedestrian detection and present a new large-scale dataset for this task. While the preliminary results prove the viability of using aud…
AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence
Yun-Ning Hung, Karn N. Watcharasupat, Chih-Wei Wu +4
We propose a dataset, AVASpeech-SMAD, to assist speech and music activity detection research. With frame-level music labels, the proposed dataset extends the existing AVASpeech dat…
Improving Music Performance Assessment with Contrastive Learning
Pavan Seshadri, Alexander Lerch
Several automatic approaches for objective music performance assessment (MPA) have been proposed in the past, however, existing systems are not yet capable of reliably predicting r…