Yash Goyal

Orcid: 0000-0002-2496-7422

According to our database1, Yash Goyal authored at least 17 papers between 2014 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers.
BMC Bioinform., December, 2023

MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Image Retrieval from Contextual Descriptions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020
Static and Dynamic Measures of Active Music Listening as Indicators of Depression Risk.
CoRR, 2020

Tag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering.
Int. J. Comput. Vis., 2019

Question-Conditioned Counterfactual Image Generation for VQA.
CoRR, 2019

Explaining Classifiers with Causal Concept Effect (CaCE).
CoRR, 2019

Counterfactual Visual Explanations.
Proceedings of the 36th International Conference on Machine Learning, 2019

2017
Resolving vision and language ambiguities together: Joint segmentation & prepositional attachment resolution in captioned scenes.
Comput. Vis. Image Underst., 2017

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Interpreting Visual Question Answering Models.
CoRR, 2016

Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Yin and Yang: Balancing and Answering Binary Visual Questions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
CloudCV: Large Scale Distributed Computer Vision as a Cloud Service.
CoRR, 2015

CloudCV: Large-Scale Distributed Computer Vision as a Cloud Service.
Proceedings of the Mobile Cloud Visual Media Computing - From Interaction to Service, 2015

2014
Design of a physiologically informed virtual reality based interactive platform for individuals with upper limb impairment.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014


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