Prize Winners

To be eligible for prizes you must:

sign the competition agreement

sign the prize acceptance format

publicly release your code under an open-source license

submit fact sheets describing your solution

present the solution at the end of the competition

adhere to the rules of the competition

Wining solutions (post-challenge)

Important information regarding source code verification and fact sheets are provided here.

- Code verification: After the end of the test phase, top participants are required to share with the organizers the source code used to generate the submitted results, with detailed and complete instructions (and requirements) so that the results can be reproduced locally. Note, only solutions that pass the code verification stage are eligible for the prizes and are to be announced in the final list of winning solutions. Note, participants are required to share both training and prediction code with a pre-trained model so that organizers can run it at only the test stage if they need.

- Participants are requested to send by email to a link to a code repository with the required instructions. In this case, put in the Subject of the E-mail "TMLCC 2021 / Code repository and instructions"

- Fact sheets: In addition to the source code, participants are required to share with the organizers a detailed scientific and technical description of the proposed approach using the template of the fact sheets provided by the organizers. Selected teams can prepare the fact sheets using Microsoft Word, LaTeX, or any other document software. Send the compressed project (in .zip format), i.e., the generated PDF, .tex, .bib, .docx and any additional files to, and put in the Subject of the E-mail "TMLCC 2021 / Fact Sheets"

IMPORTANT NOTE: We encourage participants to provide the instructions as more detailed and complete as possible so that the organizers can easily reproduce the results. If we face any problem during code verification, we may need to contact the authors, and this can take time and the release of the list of winners may be delayed.

Challenge Rules

General Terms: This challenge is governed by the general ChaLearn contest rules and the specific rules set forth.

Announcements: To receive announcements and be informed of any change in rules, the participants must provide a valid email.

Dissemination: Top-ranked participants/teams will be invited to attend the conference or workshop that will be organized by the CSEA Thailand to describe their methods and findings.

Registration: Participants must register to Codalab and define team name in the user setting, and provide a valid e-mail address to the organizers. One person can only be part of only one team. Participants registering multiple times to gain an advantage in the competition may be disqualified. Each team needs to designate a leader, who is responsible for communication with the organizers. Each team should have at least one successful submission one week before the end of each phase. Otherwise, it may be disqualified.

Submission method: The results must be submitted through this CodaLab competition site. The participants can make up to 10 submissions per day in phases 1 and 2 and up to 5 submissions in total in phase 3. Using multiple accounts to increase the number of submissions is NOT permitted. The entries of prediction values must be formatted and sorted in the order of the MOF index as specified on the "Submission" page. Each team is obligated to provide a short report (fact sheets) describing their final solution to be eligible for prizes. In case of any problem, create a post in the competition forum or send an email to

Evaluation method: Winners of the competition are chosen based on the final score in the final phase. In case there is a tie in the final scores, solutions with better interpretability will be given preference. For more details of evaluation see the "Evaluation" page. By enrolling in this competition you grant the organizers rights to process your submissions for the purpose of evaluation and post-competition research.

Cheating: We forbid people during both Development and Final phases to attempt to get a hold of the solution labels on the server (though this may be technically feasible) and/or from the database or dataset on the internet. The prediction values must be produced by only the machine learning model built by the participants. Generally, participants caught cheating will be disqualified.

We may make changes to the terms and conditions and the competition from time to time without notifying you. It is your responsibility to review the conditions of the terms and conditions for updates.