The following Media Lab researchers participated in NeurIPS 2023, the 37th conference on Neural Information Processing Systems. The conference, which is being held in a hybrid format this year, fosters the exchange of research advances in Artificial Intelligence and Machine Learning.
This year's conference was held in New Orleans, USA.
Creative Text-to-Audio Generation via Synthesizer Programming
Nikhil Singh*, Manuel Cherep*, Jessica Shand
Workshop on Machine Learning for Audio
Read the paper here
Manuel Cherep*, Nikhil Singh*, Jessica Shand*
Creative AI Track
Demo: "Collaborative Synthscapes from Words"
(* = authors with equal contribution)
Improving Domain Generalization in Contrastive Learning using Domain-Aware Temperature Control
Robert A Lewis, Katie Matton, Rosalind Picard, John Guttag
Workshop on Distribution Shifts
Workshop on Self-Supervised Learning: Theory and Practice
Read the paper here
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release
Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Poster Session
Read the paper here
Real-time Animation Generation and Control on Rigged Models via Large Language Models
Han Huang, Fernanda De La Torre, Cathy Fang, Andrzej Banburski-Fahey, JudithAmores, Jaron Lanier
Workshop on Machine Learning for Creativity and Design
Read the paper here
Workshop on Instruction Tuning and Instruction Following
Shayne Longpre
Workshop organizer