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dipam
Dipam Chakraborty

Organization

ML Engineer at AIcrowd

Location

Kolkata, IN

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7
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Challenges Entered

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graded 211921
graded 211920
failed 211916

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

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graded 209682
failed 209440
failed 209439

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graded 209221
graded 209112
graded 209109

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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 205233
graded 199053
graded 199034

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No submissions made in this challenge.

Interactive embodied agents for Human-AI collaboration

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graded 199453
graded 199452
graded 198521

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

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No submissions made in this challenge.

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No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

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

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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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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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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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graded 200962
failed 200887
submitted 200885

Estimate depth in aerial images from monocular downward-facing drone

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graded 209682
failed 209439
failed 208886

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

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failed 209440
failed 208496
graded 208493

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

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graded 209221
graded 209109
graded 209107

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

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graded 209112
graded 208824
graded 208821

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graded 206453
submitted 206452
submitted 206337

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graded 211920
failed 211916
failed 211915

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graded 211921

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Participant Rating
nachiket_dev_me18b017 0
cadabullos 0
alina_porechina 0
Participant Rating

Amazon KDD Cup '23: Multilingual Recommendation

Questions about the Usage of the Dataset for the Competition

About 7 hours ago

Hi @gaozhanfire

Yes, you’re allowed to use the any information you can extract from the test data as well.

Questions about the Usage of the Dataset for the Competition

Yesterday

Hi @gaozhanfire

Yes, you can use all the common training data for any of the tasks.

Cinematic Sound Demixing Track - CDX'23

Is there any problem in opening the submissions page for CDX track?

Yesterday

Hi @subatomicseer

This is resolved. You should be able to see it now.

Question about submission

2 days ago

@mikhail_sukhovey Good to know. You should also be able to make normal submissions now.

Question about submission

2 days ago

@mikhail_sukhovey

Can you please try now

When will we begin testing on 20/30 songs of the hidden dataset

11 days ago

Hi @lyndon_reid

The current submissions are scored on Phase 1 and Phase 2 data combined, since March 7th.

Reasons of submission failure

27 days ago

@alina_porechina

I’ve rerun the submissions after adding an extra buffer to the timeout. They’re scored now.

Reasons of submission failure

About 1 month ago

I’ve made some changes to how the cloud instances are provisioned for inference, I think now the failures shouldn’t occur. However if you do observe it again please let me know.

Reasons of submission failure

About 1 month ago

@alina_porechina , Unfortunately I haven’t found what the issue is on our side. I’m looking into it and it should be resolved soon.

Can you let me know if you expect your model to be consistent in the speed for every song or it can vary? Since the evaluator is checking if every prediction is above the speed constraint.

Visual Product Recognition Challenge 2023

Timeout submission logs

3 days ago

@v_mudryi both are timeouts.

Timeout submission logs

4 days ago

@v_mudryi Can you please provide the submission ids you’d like me to check.

Also, regarding failed submissions, we count failed submissions as valid submission slots, since submissions are also a medium of private data probing. Hence the number has to be limited.

Product Matching: Inference failed

5 days ago

@youssef_nader3 I’ve added your error on gitlab comment.

Product Matching: Inference failed

5 days ago

@strekalov , I’ve added your error on gitlab comment.

Product Matching: Inference failed

10 days ago

I’ve added the error in the gitlab comments.


About the failed builds with no changes to dependencies. The only time this has occurred is that the repository has too many models which kills the Docker build, not sure if it’s also the case here, I’ll check further. If it is indeed the cause, unfortunately for now you’ll have to reduce the overall repository size somehow.


For the one with time-out but it didn’t start, can you give me the submission id?

My submission failed

20 days ago

Hi everyone,

The logs only show for the validation step, which is just some small subset of the public data for you to debug. For obvious reasons we can’t share logs from runs on a private dataset.

Product Matching: Inference failed

21 days ago

Hi @hca97

Thank you for the insightful and extensive testing.

Indeed the experiments are run with Kubernetes, however we explicitly provision on-demand AWS g4dn.xlarge (for the GPU nodes) for all the submissions. I understand that this may allow for variations in the quality of CPU or memory that AWS has attached to the nodes. However this is the only way we can run the competition.

As for the time limit, the Machine Can See organizers have explicitly asked for the 10 minute limit, as they want the models to fast. So participants have to add provisions in their code to track the time spent, or ensure that the code has enough buffer to allow for the allegedly slower runs to complete.

Product Matching: Inference failed

26 days ago

@radhika_chhabra Can you check my comment on your latest submissions’s gitlab issue page.

Mono Depth Perception

Use of previous frames?

22 days ago

@nippun_sharma The original plan for the challenge was to provide video clips instead of images, but the problem statement was changed. I think the organizers forgot to remove that clause in the rules by mistake. Please ignore it.

Semantic Segmentation

External dataset

26 days ago

Publicly available data is allowed

dipam has not provided any information yet.

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