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dipam
Dipam Chakraborty

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ML Engineer at AIcrowd

Location

Kolkata, IN

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Challenges Entered

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failed 246107
submitted 246104
submitted 246102

Multi-Agent Dynamics & Mixed-Motive Cooperation

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graded 244563
graded 243604
graded 237014

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failed 238874
failed 238665
failed 238660

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failed 237925
failed 237924

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graded 220243
failed 220238
failed 220005

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graded 227169
graded 227166
graded 227164

Small Object Detection and Classification

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graded 237160
failed 237147
graded 236860

Understand semantic segmentation and monocular depth estimation from downward-facing drone images

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graded 214611
failed 214573
failed 214570

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graded 236127
graded 236125
failed 236121

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graded 209775
failed 209210
graded 208987

A benchmark for image-based food recognition

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No submissions made in this challenge.

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failed 235438
failed 235434
failed 205233

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What data should you label to get the most value for your money?

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Interactive embodied agents for Human-AI collaboration

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graded 199453
graded 199452
graded 198521

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No submissions made in this challenge.

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Behavioral Representation Learning from Animal Poses.

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graded 198630
graded 197504
graded 197503

Airborne Object Tracking Challenge

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ASCII-rendered single-player dungeon crawl game

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graded 158823
failed 158209
failed 158208

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graded 152892
graded 152891
failed 152884

Machine Learning for detection of early onset of Alzheimers

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No submissions made in this challenge.

Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments

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No submissions made in this challenge.

Self-driving RL on DeepRacer cars - From simulation to real world

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graded 165209
failed 165208
failed 165206

Robustness and teamwork in a massively multiagent environment

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No submissions made in this challenge.

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5 Puzzles 21 Days. Can you solve it all?

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Multi-Agent Reinforcement Learning on Trains

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graded 143804
graded 125756
graded 125751

5 Problems 15 Days. Can you solve it all?

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Learn to Recognise New Behaviors from limited training examples.

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graded 125756
graded 125589

Reinforcement Learning, IIT-M, assignment 1

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graded 125767
submitted 125747
graded 125006

IIT-M, Reinforcement Learning, DP, Taxi Problem

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graded 125767
graded 125006
graded 124921

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graded 128400
submitted 128365

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failed 131869
graded 130090
graded 128401

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failed 131869
graded 130090
graded 128401

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graded 135842
graded 130545

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No submissions made in this challenge.

Round 1 - Completed

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Identify Words from silent video inputs.

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No submissions made in this challenge.

Round 2 - Active | Claim AWS Credits by beating the baseline

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graded 198630
graded 182252
graded 178951

Round 2 - Active | Claim AWS Credits by beating the baseline

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graded 197504
graded 197503
graded 182254

Use an RL agent to build a structure with natural language inputs

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graded 199453
graded 199452
graded 198521

Language assisted Human - AI Collaboration

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graded 196399
graded 196379
failed 196363

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submitted 245759
submitted 245757
graded 200962

Estimate depth in aerial images from monocular downward-facing drone

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graded 214522
graded 214521
failed 214517

Perform semantic segmentation on aerial images from monocular downward-facing drone

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graded 214611
failed 214573
failed 214570

Music source separation of an audio signal into separate tracks for vocals, bass, drums, and other

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graded 236127
graded 236125
failed 236121

Source separation of a cinematic audio track into dialogue, sound-effects and misc.

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failed 236027
failed 236026
failed 236024

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graded 206453
submitted 206452
submitted 206337

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graded 227169
graded 211920
failed 211916

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graded 227164
graded 211921

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graded 227166
graded 212284

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graded 223574
graded 223573
graded 223572

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Participant Rating
nachiket_dev_me18b017 0
cadabullos 0
alina_porechina 0
ryan811 0
1774452411aqqcom 0
XIAOhe 0
Participant Rating

MeltingPot Challenge 2023-8a7d12

Evaluation Score Update

About 1 month ago

TL;DR: We are re-calculating scores using the correct normalization. We don’t expect any significant changes in the ranking, only on the numerical values.

Dear Participants - We are making an amendment to the evaluation score shown on the leaderboard. Unfortunately we noticed that score computation had a normalisation discrepancy with that of Melting Pot 2.0. We don’t expect the ranking of any of the submissions to change, only the numerical score. The Melting Pot 2.0 tech report defines a normalization of return for a scenario to be zero for the baseline with the lowest focal per-capita return, and one for the highest one. The normalization currently reported used the exploiter return from Melting Point 2.0 as the upper bound and random performance as lower bound. For most scenarios these are the same, but there are some for which this is not the case.

Going forward we are updating the leaderboard score to use the normalization from Melting Pot 2.0. We will use this updated normalization for the generalization score to be displayed from Nov 1 too.

Please note: This change will only reflect as a scale factor on overall score where in your performance on some scenarios may slightly decrease by the same scale for all teams and hence we do not expect any significant change in the current leaderboard ranking due to this. We will be using the new score moving forward for both development and generalization phase and also final evaluation.

MosquitoAlert Challenge 2023

Select submissions for final leaderboard

About 1 month ago

Hi Everyone,

All teams need to select upto 3 submissions for their final leaderboard entries using the form on this page.

Git Clone Runs infinitely

About 2 months ago

Hi Everyone,

We’re looking into what’s wrong with the submission script. In the meantime, please use the advice from @hca97. The same is also described in the starter kit. Please note the you need to push to the correct remote repo. I think for most participants, this would be set to aicrowd instead of origin, please check the name of your remote repo using git remote -v before trying to push the tag.

Submission failed during Inference

About 2 months ago

@saidinesh_pola @gavinwangshuo , both of these failed due to timeout.

Submission failed during Inference

2 months ago

@hca97 No it is not the first prediction, I see many print statements before this with varying time values.

Submission failed during Inference

2 months ago

@fkemeth Can you give me the submission ids where you get the failure and I’ll check if it’s due to timeout or something else.

Submission failed during Inference

2 months ago

@hca97

The timeout on these submission does indeed cross 2 seconds for one instance. I believe these are your print statements?

Totla Time  2018.3565616607666 ms

Unfortunately we can’t relax the timing criteria, if possible try to reduce the time taken by your model.

Submissions are quite unstable

3 months ago

@MPWARE @tfriedel the time is measured per image. Upon request from the organizer, we have increased this number to 2 seconds per image.

@MPWARE , would it be possible to give a link to your submissions where same image got different times, as its not expected to vary based on cluster workload, your submission container gets the full node.

NeurIPS 2023 Citylearn Challenge

Support for central_agent=False

2 months ago

Hi Everyone,

We now support setting central_agent=False in the Citylearn Environment. Since the creation of the environment is not directly controlled by participants. You need to provide a separate key in the aicrowd.json file in your starter kits, to let us know to use non central agents.

Things to keep in mind:

  • The actions you provide will be passed to the environment as is, so make sure to use the correct action format when using non central agent.
  • Make sure the aicrowd.json is formatted correctly as a valid json file.
  • Make sure to use “False” in quotes when setting central agent to False in the json file.

All the best for the challenge.

Control Track: CityLearn Challenge

How to load a trained model during AIcrowd evaluation?

2 months ago

@skywuuuu You an use git-lfs using the instructions provided in the starter kit.

Sound Demixing Challenge 2023

Error with submissions in MDX23

5 months ago

Okay it’s fixed and I’ve rerun it here, you should get the scores once its completed.

Error with submissions in MDX23

5 months ago

Is it not this repo?

Error with submissions in MDX23

5 months ago

Hi @ZFTurbo

The old base image seems to not be available anymore, can you change to this base image in the Dockerfile

FROM nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu20.04

Amazon KDD Cup '23: Multilingual Recommendation Ch

💬 Feedback & Suggestions

6 months ago

@CPMP 5 submissions per team should be enforced by the UI on a per day basis (00:00 to 00:00 UTC fixed window). We have two settings that the organizers can choose from, 24 hour rolling window and 24 hour fixed window. For this challenge its set to fixed window.

Is your team able to make more than 5 submissions in the fixed window?

💬 Feedback & Suggestions

6 months ago

On Kaggle a merge is possible only if the sum of submission counts does not exceed 5 times the number of days spent on the competition so far.

Apologies, I wasn’t aware of this.

I’ll mention that we generally do not run competitions without private test sets, which is where this is a much bigger issue. This was an oversight on our part.

I checked the leaderboards and see that there is one team that has managed to make a lot of submissions doing this. After the team merge deadline we’ll check for any more unfair merges, and let the Amazon team decide if they want to provide everyone else with additional submissions to keep things fair.

💬 Feedback & Suggestions

6 months ago

Agreed, but this is the system we have, it applies to everyone. If I understand correctly it is also the system on some other platforms.

I understand it’s an outsized advantage for this challenge as it’s not a code based challenge and doesn’t have a private test set.

We’re open to alternative ideas for future challenges, please share your feedback here or in dm.

💬 Feedback & Suggestions

6 months ago

Hi @BenediktSchifferer

Yes, every team is limited to 5 submissions per day. After merging teams, submissions limits will apply to the whole team.

💬 Feedback & Suggestions

6 months ago

@ECNU_Wei_Zhang Please ask all you team members to dm me and confirm that they want to leave the team.

💬 Feedback & Suggestions

6 months ago

@ECNU_Wei_Zhang Okay your team has been removed

Clarification and More Information for Phase 2

7 months ago

@ZhipengZhang Thanks for letting me know. Leaderboards should be displayed correctly now.

dipam has not provided any information yet.

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