New in ML workshop at ICML 2022
Update: the call for abstracts deadline is extended to May 29!
Is this your first time to a top conference? Have you ever wanted your own work recognized by this huge and active community? Do you encounter difficulties in polishing your ideas, experiments, paper writing, etc? Then, this session is exactly for you!
This year, we are hosting again the New in ML workshop, co-locating with ICML 2022. This workshop is intended for anyone who has not published a paper at a top conference yet (e.g. ICML, NeurIPS). We invited top researchers to review your work and share their experience with you. The best papers will get oral presentations and awards!
Our biggest goal is to help you publish papers at the next ICML conference, and generally provide you with the guidance you need to contribute to ML research fully and effectively!
Within quota limits, the authors of the best accepted papers may be receiving tickets to ICML 2022, to be attributed according to merit and need. In addition, we should be able to provide financial help for travel/accommodation/registration expanses and fees.
Though labeled as an affinity workshop, this workshop is open to everyone. It is a requirement to register for the ICML 2022 conference in order to attend the workshops, socials and anything connected to the ICML Conference platform, including this workshop. Being registered for any component of the conference (tutorials, conference sessions, workshops, virtual only pass) allows you to attend any affinity events, including our workshop. In addition, we would like to have an estimate of the number of attendees and their background. Please fill out the registration form intended for this purpose.
Call For Extended Abstracts
This year, we initiate a call for extended abstracts (3 content pages excluding references and additional material). This year’s NewInML session further targets newcomers to the ML community, seeking writing practice and feedback to have the possibility to share their work at top conferences later on. To this aim, we are encouraging abstracts submissions and participations to our “Writing support” presentation at the workshop. It will be followed by a discussion with the authors for more tailored feedback and advice on their submitted abstracts. Therefore, this consists of a writing exercise though we also highly value promising works and novelties on subjects covered in the ICML main conference. The best selected abstracts authors will have the opportunity to give a short presentation of their work and win an award.
All topics related to machine learning are welcome. They include (but are not limited to):
- General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)
- Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
- Learning Theory (bandits, game theory, statistical learning theory, etc.)
- Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)
- Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)
- Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)
- Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)
Guidelines to authors
To practice writing good ICML papers, authors are requested to submit papers respecting the ICML format and instructions. All submissions must be in PDF format. Submissions are limited to 3 content pages, including all figures and tables; additional pages containing the ICML paper checklist and references are allowed. Submitted abstracts must be anonymous and respect the ICML format and template. Submissions that do not follow the format will be rejected. We restrict submissions to first authors with no prior accepted publication at ICML/NeurIPS main conferences and which are not under review or accepted elsewhere. Papers having been rejected before should be revised before submission to New In ML. We recommend sharing previous reviews with your new reviewers. Submitted papers will be reviewed by expert reviewers in a double-blind manner. Accepted abstracts could expect further coaching and mentorship if both reviewers and authors agree to communicate.
Workshop submission policy
This will NOT count as an official ICML publication, the NewInML 2022 workshop does not have a publication proceedings. Abstracts submitted can be revised and enhanced for further submissions, but make sure to check the policy of other conferences if you want to re-submit elsewhere. We allow the submission of abstracts that have been submitted to another workshop in condition that the other workshop does not have a publication proceedings and this does not violate the policy of the other workshop. You are responsible to check the dual-submission policy of the other workshop and decide whether you can re-submit your paper to the NewInML 2022 workshop. Accepted extended abstracts will be listed on the workshop homepage if the authors do not issue an objection. If an accepted paper is also accepted by another workshop, the authors can decide which workshop they want to keep. If you need to withdraw your abstract from the NewInML 2022 workshop, please contact us at contactnewinml (at) gmail.com.
Paper submission is through OpenReview platform: Submit my paper
Be careful: Account confirmation can take up to 12 hours on OpenReview platform. Make sure to sign up a few days ahead before deadline.
Don’t forget to fill out the registration form: Registration form
Contact us at contactnewinml (at) gmail.com if you encounter technical issues.
UPDATE Paper submission deadline has been extended to May 29, 2022 AoE.
May 15, 2022 (Anywhere on Earth): Paper submission deadline
May 29, 2022 (Anywhere on Earth): Paper submission deadline
June 21, 2022 (Anywhere on Earth): Author notification of acceptance
- July 18, 2022: Workshop session with best selected abstracts presentations
See more information about our invited speakers
This will be a one-day hybrid on site/online event in Baltimore, USA.
Program (time zone in Baltimore, Eastern Standard Time, EST, UTC−5 ):
Monday July 18, 2022 - Baltimore Convention Center, Room 301 - 303
|09:00 - 09:05||Opening address|
|09:05 - 09:55||Invited Talk How to communicate your results - Andrew Fitzgibbon (Graphcore)|
|09:55 - 10:45||Invited talk Collaborations with ML researchers - Rosanne Liu (ML Collective, Google Brain)|
|10:45 - 11:15||Break|
|11:15 - 12:05||Invited Talk Coding best practices - Jill Jênn Vie (Inria)|
|12:05 - 13:05||Best abstracts presentations (5 min + 5 min Q&A for each paper)|
|13:05 - 13:15||Best extended abstract award|
|13:15 - 15:00||Lunch Break|
|15:00 - 16:00||Invited talk Writing support interactive presentation - Reka Mihalka (ETH Zurich)|
|16:00 - 16:05||Closing remarks|
You are invited to attend the joint poster session hosted by WomenInML and LatinXAI from 16:30 to 17:00 (Hall G).
Accepted extended abstracts
A Compact Transformer-based Classifier with Selected Hybrid Features from Different Patch Sequences for Image Classification, Luna Zhang
An Efficient Modern Baseline for FloodNet VQA, Aditya Kane, Sahil Khose
FedControl: When Control Theory Meets Federated Learning, Adnan BEN MANSOUR, Gaia Carenini, Alexandre Duplessis, David Naccache
Generating Synthetic Population, Bhavesh Neekhra, Kshitij Kapoor, Debayan Gupta
Light Weight Character and Shape Recognition for Autonomous Drones, Neetigya Poddar, Shruti Praveen Jain
Test-Time Adaptation with Principal Component Analysis, Thomas Cordier, Victor Bouvier, Gilles Hénaff, Céline Hudelot
See more information about our organization team
Write us at: contactnewinml (at) gmail.com
Follow us on Twitter: @NewInML