Apple is sponsoring the Neural Information Processing Systems (NeurIPS) conference, which will take place in person from December 10 to 16 in New Orleans, Louisiana. NeurIPS is a global conference focused on fostering the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. Below is the schedule of Apple-sponsored workshops and events at NeurIPS 2023.
Schedule
Sunday, December 10
Monday, December 11
- WORKSHOP
- Black in AI
- 8:15 AM – 3:30 PM CST, Room R02-R05
- WORKSHOP
- LatinX in AI
- 8:15 AM – 3:30 PM CST, Room 217-219
- Miguel Angel Bautista Martin will be participating in the mentoring hour as a mentor.
- WORKSHOP
- Queer in AI
- 9:30 AM – 3:30 PM CST, Room R06-R09
- WORKSHOP
- Women in Machine Learning
- 8:00 AM – 3:30 PM CST, Great Hall
- Derek Smith will be hosting a roundtable on Internships at Apple.
Tuesday, December 12
Wednesday, December 13
- POSTER
- DeepPCR: Parallelizing Sequential Operations in Neural Networksy
- 5:00 – 7:00 PM CST in Great Hall & Hall B1+B2 #1009
- Federico Danieli, Miguel Sarabia del Castillo, Pau Rodriguez,
- POSTER
- 4M: Massively Multimodal Masked Modeling
- 5:00-7:00 PM CST in Great Hall & Hall B1+B2 #1022
- David Mizrahi, Mingfei Gao, Afshin Dehghan, Roman Bachmann, Oğuzhan Fatih Kar, Teresa Yeo, Amir Zamir
- POSTER
- Adaptive Weight Decay
- 5:00 – 7:00 PM CST in Great Hall & Hall B1+B2 #721
- Mohammad Amin Ghiasi, Ali Shafahim Reza Ardekani
Thursday, December 14
Friday, December 15
- WORKSHOP
- DistShift
- 9:00 AM – 5:00 PM CST, Room R06-R09
- TiC-CLIP: Continual Training of CLIP Models
- Saurabh Garg, Hadi Pour Ansari, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
Saturday, December 16
- WORKSHOP
- Generative AI and Biology
- Generating Molecular Conformers with Manifold Diffusion Fields
- Yuyang Wang, Ahmed Elhag, Navdeep Jaitly, Josh Susskind, Miguel Angel Bautista Martin
- 6:15 AM, Room 265 – 268
- WORKSHOP
- Self-Supervised Learning Theory and Practice
- Bootstrap Your Own Variance
- Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb
- 12:00 – 1:00 PM CST and 4:15 – 5:30 PM CST, Room 217-219
Accepted Papers
4M: Massively Multimodal Masked Modeling
David Mizrahi, Mingfei Gao, Afshin Dehghan, Roman Bachmann, Oğuzhan Fatih Kar, Teresa Yeo, Amir Zamir
Amin Ghiasi, Ali Shafahi, Reza Ardekani
Agnostically Learning Single-Index Models using Omnipredictors
Aravind Gollakota, Parikshit Gopalan, Adam R. Klivans, Konstantinos Stavropoulos
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh Susskind, Navdeep Jaitly
PDP: Parameter-free Differentiable Pruning is All You Need
Minsik Cho, Saurabh Adya, Devang Naik
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
Parikshit Gopalan, Michael P. Kim, Omer Reingold
Workshop Accepted Papers
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Model
Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C Del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
What Algorithms can Transformers Learn? A Study in Length Generalization
Hattie Zhou, Omid Saremi, Etai Littwin, Arwen Bradley, Noam Razin, Josh Susskind, Samy Bengio, Preetum Nakkiran
Demos
On-device Personal Voice for Accessibility
On-device ML model training is a key research area we focus on. In this demo we will share how we applied text-to-speech model adaptation technology to Apple devices to build the personal voice with limited number of recordings, so that the people who are at risk of losing their voice can store their voice and use it in live speech when they are not able to speak.
Back to Back Siri Requests
Siri Directed Speech Detector (SDSD) runs completely on device. It makes use of information from acoustics, automatic speech recognition system, and lexical information to decide if an utterance is directed towards Siri or not. With this feature, Siri listens to user speech for a subsequent request, while it is responding to the previous request.
All NeurIPS attendees are invited to stop by the Apple booth (booth number 1103, located in Hall C and D of the New Orleans Ernest N. Morial Convention Center) to experience these demos in person.
Acknowledgements
Samy Bengio is a member of the NeurIPS 2023 Board.
Marian Stewart Bartlett is the NeurIPS 2023 Treasurer.
Alexander Toshev, Kunal Talwar, Navdeep Jaitly, Pierre Ablin, Preetum Nakkiran, Shuangfei Zhai, Vaishaal Shankar, Vitaly Feldman, and Yizhe Zhang are Area Chairs for NeurIPS 2023.
Marco Cuturi and Samy Bengio are NeurIPS 2023 Senior Area Chairs.
Audra McMillan is an Ethics Reviewer for NeurIPS 2023.
Tatiana Likhomanenko and Oncel Tuzel are NeurIPS 2023 Datasets and Benchmarks Area Chairs.
Aravind Gollakota, Arno Blaas, Barry Theobald, Bhavika Devnani, Bogdan Mazoure, Enrico Fini, Etai Littwin, Hilal Asi, Jason Ramapuram, Lyndon Duong, Miguel Sarabia, Pau Rodriguez, Rahul Sunil Bhalerao, Richard Bai, Skyler Seto, Tatiana Likhomanenko, Vimal Thilak, and Xavi Suau are Reviewers for NeurIPS 2023.