Vaiva Imbrasaite

According to our database, Vaiva Imbrasaite authored at least 9 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

TaskLAMA: Probing the Complex Task Understanding of Language Models.

Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite, Deepak Ramachandran

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dr.ICL: Demonstration-Retrieved In-context Learning.

Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Seyed Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y. Zhao

CoRR, 2023

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information.

Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2015

Continuous dimensional emotion tracking in music.

Vaiva Imbrasaite

PhD thesis, 2015

Generating Music Playlists with Hierarchical Clustering and Q-Learning.

James King, Vaiva Imbrasaite

Proceedings of the Advances in Information Retrieval, 2015

2014

Music Emotion Tracking with Continuous Conditional Neural Fields and Relative Representation.

Vaiva Imbrasaite, Peter Robinson

Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

CCNF for continuous emotion tracking in music: Comparison with CCRF and relative feature representation.

Vaiva Imbrasaite, Tadas Baltrusaitis, Peter Robinson

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

2013

Emotion tracking in music using continuous conditional random fields and relative feature representation.

Vaiva Imbrasaite, Tadas Baltrusaitis, Peter Robinson

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

What Really Matters? A Study into People's Instinctive Evaluation Metrics for Continuous Emotion Prediction in Music.

Vaiva Imbrasaite, Tadas Baltrusaitis, Peter Robinson

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013