The following Media Lab community members are participating in the 33rd conference on Neural Information Processing Systems.
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Agata Lapedriza, and Rosalind Picard
NeurIPS main conference: Dialog- or Communication-Based Learning
Zero-Shot Transfer Learning to Enhance Communication for Minimally Verbal Individuals with Autism using Naturalistic Data
Jaya Narain*, Kristy Johnson*, Rosalind Picard, and Pattie Maes
(*joint first authors/equal contribution)
AI for Social Good Workshop
Panel: Towards a Social Good? Theories of Change in AI
Dhaval Adjodah and Natalie Saltiel
AI for Social Good Workshop
Invited Talk—Beyond Bias: Contextualizing “Ethical AI” Within the History of Race, Exploitation and Innovation in Medical Research
Chelsea Barabas
AI Ethics in Medicine Workshop
Comparison of communication efficiency of Federated and Split Learning
Abhishek Singh, Praneeth Vepakomma, Otkrist Gupta, and Ramesh Raskar
New in Machine Learning Workshop
Maximal adversarial perturbations for obfuscation to hide certain attributes
Indu Ilanchezian, Praneeth Veopakomma, Abhishek Singh, Otkrist Gupta, G.N. Srinivasa Prasanna, and Ramesh Raskar
New in Machine Learning Workshop
Split Learning: A feasibility study on privacy preserving distributed deep learning for medical imaging
Maarten G Poirot, Praneeth Vepakomma, Ken Chang, Jayashree Kalpathy-Cramer, Rajiv Gupta, and Ramesh Raskar
New in Machine Learning Workshop
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, and Ramesh Raskar
Robust AI in Financial Services Workshop
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, and Ramesh Raskar
Machine Learning for the Developing World Workshop
Non-Invasive Silent Speech Recognition in Multiple Sclerosis with Dysphonia
Arnav Kapur, Utkarsh Sarawgi, Nora Hollenstein, and Pattie Maes
Machine Learning for Health Workshop
Paper Dreams: An Interactive Interface for Generative Visual Expression
Guillermo Bernal, Lily Zhou, Haripriya Mehta, and Pattie Maes
Machine Learning for Creativity and Design 3.0 Workshop
Does a dog desire cake? - Expanding Knowledge Base Assertions Through Deep Relationship Discovery
Pedro Colon-Hernandez
Knowledge Representation + Reasoning Meets Machine Learning Workshop; LatinX Workshop
Feed the Ganimals
Océane Boulais, Ziv Epstein, and Matthew Groh
Machine Learning for Creativity and Design 3.0 Workshop
Stone to Sea
Océane Boulais, Maryam Ashoori, and Brandon Leshchinskiy
Machine Learning for Creativity and Design 3.0 Workshop
Observational causal inference using network information
Yan Leng, Martin Saveski, Alex ‘Sandy’ Pentland, and Dean Eckles
Graph Representation Learning Workshop
Exploring aspects of similarity for personal narratives
Belén Saldías and Deb Roy
Women in Machine Learning Workshop