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mohanty

Name

Sharada Mohanty

Organization

AIcrowd

Location

Geneva, CH

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2

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Challenges Entered

A benchmark for image-based food recognition

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graded 109590
failed 109586
failed 109578

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failed 5795
graded 392
failed 391

Predicting smell of molecular compounds

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graded 101429
graded 101420
graded 81550

3D seismic image Interpretation by Machine Learning

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graded 82855
graded 82679
graded 82664

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graded 18446
graded 10385
graded 10099

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graded 21050
graded 13148
graded 13117

Sample-efficient reinforcement learning in Minecraft

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graded 18575
graded 15152
graded 11232

Multi Agent Reinforcement Learning on Trains.

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failed 18455
failed 18370
failed 18105

Recognise Handwritten Digits

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failed 60098

Robots that learn to interact with the environment autonomously

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graded 11208
failed 11198
failed 11193

A new benchmark for Artificial Intelligence (AI) research in Reinforcement Learning

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graded 7057
graded 664
graded 663

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graded 1137
graded 1135
graded 1134

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graded 9169
graded 9164

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graded 9168
graded 9163

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graded 9167
failed 9165
failed 9162
Gold 0
Silver 0
Bronze 2
Trustable
May 16, 2020
Newtonian
May 16, 2020

Badges


  • May 16, 2020

  • May 16, 2020
  • Has filled their profile page
    May 16, 2020

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  • May 16, 2020
  • Kudos! You've won a bronze badge in this challenge. Keep up the great work!
    Challenge: ORIENTME
    May 16, 2020
Participant Rating
SHARDA 0
semih_catal 0
shivam
20161302_animesh 116
Participant Rating

Insurance pricing game

[Final Week!] Leaderboard process, Winner announcement timeline, duplicate accounts

About 1 month ago

The real Lulz comes in when everyone realises that the @alfarzan account has been powered by a GPT-3 powered bot all along :laughing: !
Not giving any hints :laughing: :angel:

What's the etiquette on sharing code?

4 months ago

Hi @simon_coulombe,

We highly encourage participants to share their code.
Please feel free to create a separate repository or a google colab notebook and share the link here on the forums.

I believe @shivam and team had also been working on a better way to share code more natively on the platform.

Best,
Mohanty

Tips on creating a successful submission

4 months ago

@jyotish: Can we basically have a custom base image where all the common dependencies are already installed ?
It will hopefully both reduce the image build times and also help us avoid back and forth many such dependency related issues.

AI Blitz #6

Video with "en passant" capture

About 2 months ago

@demarsylvain: Looking at this, the notation seems to be to add a .p..
I will let @Shubhamaicrowd confirm if we have instances of the same in our dataset.

Video with "en passant" capture

About 2 months ago

@demarsylvain: You can always generate one :wink:

About the datasets for WinPrediction

About 2 months ago

@victorkras2008: Thanks for pointing these out. We are on it. And indeed, the some of the labels should also be wrong in the test set. We are working on correcting the affected data points, and then re-evaluating all the submissions.
@ayushivani is on it :tada: !

CHESS TRANSCRIPTION

About white passed pawn

About 2 months ago

Thanks @Shubhamaicrowd !
It’s a bit weird though, I would expect python-chess to have such a silly bug. Nor do I understand why they wouldn’t consider the side on pawn promotion ?

In any case, if anyone has an understanding of why this is hapenning, please do let us know.
Else I suggest to include a rule based correction for this case and update the dataset for consistency.

Best,
Mohanty

About white passed pawn

About 2 months ago

@victorkras2008: Hi, we are acknowledging this issue and are investigating this closely as we speak, we will post updates on this soon. Thanks for notifying us of the bug.

Best,
Mohanty

Learning to Smell

Clarification about final model selection

2 months ago

Hi @rejulien,

For the final leaderboard, the best model on the whole test set will be used.

Best,
Mohanty

Problem with some SMILES

2 months ago

Hey,

We are on this.
We will get back to you soon with updates from our end.
@shivam is coordinating the efforts from our end.

Best,
Mohanty

Supplementary Training Data Release for Round-3

3 months ago

Dear all,

We have released some Supplementary Training data for Round-3.
This data contains smell words for 388 molecules.
Please note that, for consistency, the smell words belong to the global vocabulary used in Round-1 and Round-2 of the competition and hence the smell sentences contain smell words that may not be in the Round-3 vocabulary.

The data can be accessed in the Resources Section of the challenge.

Best of Luck,
Mohanty

Submission Error in Non-debug Mode

3 months ago

@hjuinj: the test set for this round contains numerous molecules which are not present in the test sets of previous round. Hence precomputed features will not work here.
You will have to ensure you can do feature computation on the fly before you make the predictions

Round3-vocabulary.txt contains strange vocabularies

3 months ago

@hjuinj: The train.csv is something that we have consistently used across the previous rounds, and hence changing the same can create some confusion.
If filtering the invalid vocab items for round 3 is adding friction, we would be very happy to upload a filtered version.
We will update this thread as soon as its done.

Best,
Mohanty

Round3-vocabulary.txt contains strange vocabularies

3 months ago

@koupenchan: Thanks for pointing this out. We have updated the round3-vocabulary.txt file, and also re-evaluated all the previous submissions.

Best of luck,
Mohanty

Build failure for custom conda environment. Frustrating and time consuming to debug the build failures

4 months ago

Hi @mario_lovric,

I am sorry about the hurdles in packaging your software environment. Have you managed to write a Dockerfile which can do the predictions at your end ?
Someone from our team would anyway reach out to assist you in the process.

Best,
Mohanty

Build failure for custom conda environment. Frustrating and time consuming to debug the build failures

4 months ago

@justmahesh: The need for code based submissions is to allow us to evaluate your models on test sets that cannot be released publicly because of legal constraints. And the need for submitting code does add a barrier to entry which we acknowledge, and we are willing to assist all the participants in packaging their code for making a valid submissions.

We will follow up on this particular issue, but we also have office hours (@jyotish : can you please share details) to help all the participants on a one on one basis.

Best,
Mohanty

TIMSER

#1 Solution to TIMSER Blitz5

2 months ago

@boussif_oussama: “AIcrowders” has a weird ring to it. At AIcrowd, we prefer “AIcrew” to refer to the proud members of the community :smiling_imp::smiling_imp::smiling_imp:

Food Recognition Challenge

Food Recognision Challenge | Round 4 Announcement 🍱

3 months ago

@markpotanin: We will release some more supplementary training data shortly. Thanks for your patience.

Questions about leaderboard / private set

4 months ago

@ktverdov: This round of the food benchmark does not have a separate validation set, and hence the scores on the leaderboard are the final scores for this round. We release new test sets at the end of each round. In the subsequent rounds we will ensure to have separate public and private scores.

The recall score will be used as a tie breaker. So if two submissions have the exact same (upto 3 decimal points) precision then their order will be determined by the recall scores.

Best,
Mohanty

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