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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

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

Classify images of snake species from around the world

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failed 5795
graded 392
failed 391

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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

  • 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
semih_catal 0
shivam
20161302_animesh 116
Participant Rating

Insurance pricing game

What's the etiquette on sharing code?

23 days 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

About 1 month 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.

Learning to Smell

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

27 days 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

About 2 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

Food Recognition Challenge

Questions about leaderboard / private set

About 1 month 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

mohanty has not provided any information yet.