Sharada P. Mohanty

Affiliations:
  • École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
  • International Institute of Information Technology, Hyderabad, Language Technology Research Center, India


According to our database1, Sharada P. Mohanty authored at least 32 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
The Sound Demixing Challenge 2023 - Cinematic Demixing Track.
CoRR, 2023

The Sound Demixing Challenge 2023 - Music Demixing Track.
CoRR, 2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.
CoRR, 2023

2021
Supervised Learning Computer Vision Benchmark for Snake Species Identification From Photographs: Implications for Herpetology and Global Health.
Frontiers Artif. Intell., 2021

The MineRL BASALT Competition on Learning from Human Feedback.
CoRR, 2021

The Food Recognition Benchmark: Using DeepLearning to Recognize Food on Images.
CoRR, 2021

Towards robust and domain agnostic reinforcement learning competitions.
CoRR, 2021

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.
CoRR, 2021

The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors.
CoRR, 2021

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021



2020
Deep Learning for Understanding Satellite Imagery: An Experimental Survey.
Frontiers Artif. Intell., 2020

Flatland-RL : Multi-Agent Reinforcement Learning on Trains.
CoRR, 2020

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020



2019
Investment Ranking Challenge: Identifying the best performing stocks based on their semi-annual returns.
CoRR, 2019

The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors.
CoRR, 2019

Artificial Intelligence for Prosthetics - challenge solutions.
CoRR, 2019

The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition.
CoRR, 2019

Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

2018
Adversarial Vision Challenge.
CoRR, 2018

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.
CoRR, 2018

Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning.
CoRR, 2018

Learning to Recognize Musical Genre from Audio.
CoRR, 2018

Learning to Recognize Musical Genre from Audio: Challenge Overview.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2016
CCLTracker Framework: Monitoring user learning and activity in web based citizen science projects.
Hum. Comput., 2016

Using Deep Learning for Image-Based Plant Disease Detection.
CoRR, 2016

Kathaa : NLP Systems as Edge-Labeled Directed Acyclic MultiGraphs.
Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies WLSI/OIAF4HLT@COLING, 2016

Kathaa: A Visual Programming Framework for NLP Applications.
Proceedings of the Demonstrations Session, 2016

Anuvaad Pranaali: A RESTful API for Machine Translation.
Proceedings of the Service-Oriented Computing - ICSOC 2016 Workshops, 2016


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