Virtual Session @ NeurIPS 2020
Our virtual poster session and talks are now live! Click Here
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Schedule
All times are in EST (GMT -5)
| Time | Event |
|---|---|
| ALL-DAY | Poster Session, Author and Speaker Q&A |
| 09:00 - 09:15 | Opening Address - Video - Prof. Isabelle Guyon (U. PSud/INRIA, Université Paris-Saclay and ChaLearn) |
| 09:15 - 10:15 | Invited Talk - Prof. David Jensen (University of Massachusetts Amherst), “Empirical Research in Machine Learning: Perspectives and Strategies” |
| 10:15 - 11:45 | 4 Contributed Talks (Orals) |
| 11:45 - 13:00 | “Lunch” Break |
| 13:00 - 14:00 | Invited Talk - Prof. Anima Anandkumar (California Institute of Technology and NVIDIA) |
| 14:00 - 15:00 | Sponsored Talk: Ralph; Recruiting & Negotiating AI Jobs Webinar + Career Advice Q&A w/ MSR Research Scientist. Register here |
| 15:00 - 15:35 | Invited Talk - Dr. Samy Bengio (Google Brain) |
| 15:35 - 16:30 | Panel Discussion - Devi Parikh, Finale Doshi-Velez, Hugo Larochelle, Julien Mairal, Katja Hofmann, Marc Deisenroth, Phillip Isola, Michael Bowling |
| 16:30 - 16:45 | Closing Remarks |
Mission
Is this your first time submitting to a top conference? Have you ever wanted your work recognized by a large and active community? Do you want to improve your paper writing, experiments, ideas, etc? Then, this workshop is exactly for you!
For the second year, we are organizing a special NewInML workshop, with NeurIPS 2020. Our workshop welcomes contributors new to machine learning research. We have invited top NeurIPS reviewers to review your work and share their experiences with you in poster sessions and mentoring sessions. The best papers will get oral presentations and even awards!
Our mission is to help you publish papers at next year’s NeurIPS conference, and generally provide you with the guidance you need to contribute to ML research fully and effectively!
Important Dates
Submission Deadline: Nov 1st Anywhere on Earth
Review Due: Nov 19th
Final Decision Release: Nov 23th
Session Day: Dec 7th
Call for Papers
Your ticket to NeurIPS 2020? Maybe!
Since this is an exercise in writing good NeurIPS papers, authors are requested to submit papers respecting the NeurIPS format and instructions: https://nips.cc/Conferences/2020/CallForPapers. The page limit is 8 pages + extra references, but shorter papers with quality content are welcome. We restrict submissions to first authors with no prior accepted publications at NeurIPS (main conference) and which are not under review or accepted elsewhere. Papers with prior rejections should be revised before submission to NewInML. We recommend sharing previous reviews with your new reviewers.
All topics related to machine learning are welcome, including, but not limited to:
- Algorithms
- Applications
- Data, Competitions, Implementations, and Software
- Deep Learning
- Neuroscience and Cognitive Science
- Optimization
- Probabilistic Methods
- Reinforcement Learning and Planning
- Theory
- Social Aspects of ML: AI Safety; Fairness and Accountability; Privacy
For a full list please see https://neurips.cc/Conferences/2020/PaperInformation/SubjectAreas
Paper submission is through CMT platform: https://cmt3.research.microsoft.com/NewInML2020
Accepted papers will be reviewed by NeurIPS’s best reviewers and, if accepted, authors will present a talk or a poster at the workshop and receive coaching and mentorship from established researchers.
Preprints
This will NOT count as an official NeurIPS publication; papers submitted can be revised and submitted to NeurIPS 2021, but you should check the policy of other conferences if you wish to resubmit elsewhere. |
Confirmed Reviewers and Mentors
- Aditya Kusupati (University of Washington)
- Aditya Mate (Harvard University)
- Amir Tahmasebi (CodaMetrix)
- Antti Koskela (University of Helsinki)
- Bastian Rieck (ETH Zürich, MLCB, D-BSSE)
- Benjamin Bloem-Reddy (University of British Columbia)
- Cheng Cheng
- David Ross (Google Research)
- Dino Oglic (King’s College London)
- Diwakar Mahajan (IBM Research)
- Emily Saldanha Pacific (Northwest National Laboratory)
- Erin Grant (UC Berkeley)
- Fatemeh Taheri Dezaki (University of British Columbia)
- Francisco J. R. Ruiz (DeepMind)
- Gauthier Gidel (Mila, Université de Montréal)
- Grigory Yaroslavtsev (Indiana University, Bloomington)
- Homa Rashidisabet (University of Illinois at Chicago)
- Ievgen Redko (Laboratoire Hubert Curien)
- Jennifer Williams (Carnegie Mellon University)
- John Martin (Stevens Institute of Technology)
- Jonathan Uesato (DeepMind)
- Jordan Hoffmann (DeepMind)
- Junzi Zhang (Stanford University)
- Karthik Abinav Sankararaman (University of Maryland)
- Kuheli Sai (University of Pittsburgh)
- Leili Tavabi (USC)
- Mahesh Parihar (MmM Ltd.)
- Masashi Sugiyama (RIKEN/The University of Tokyo)
- Naila Murray (Naver Labs)
- Nicholas Monath (University of Massachusetts Amherst)
- Rishab Khincha (BITS Pilani, Goa)
- Sahib Singh (Ford Motor R&A; Manifold Computing)
- Sandeep Konam (Abridge AI Inc.)
- Sergio Valcarcel Macua (Secondmind.ai)
- Shilpa Pandey (Adani Institute of Infrastructure Engineering)
- Steven Chen (SAS Inc.)
- Svitlana Volkova (Johns Hopkins, USA)
- Tharathorn Rimchala (Intuit)
- Utkarshani Jaimini (Artificial Intelligence Institute at University of South Carolina)
- Vishakha Sharma (Roche)
- Vrutang Shah (Oregon Health & Science University)
- Xiaodan Hu (University of Illinois at Urbana-Champaign)
- Yale Song (Microsoft Research)
- Yan Gao (UTHSC)
Contact
contactnewinml (at) gmail.com
@NewInML