Search Results for author: Yash Goyal

Found 12 papers, 2 papers with code

Image Retrieval from Contextual Descriptions

1 code implementation ACL 2022 Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Ponti, Siva Reddy

In particular, models are tasked with retrieving the correct image from a set of 10 minimally contrastive candidates based on a contextual description.

Image Retrieval

Static and Dynamic Measures of Active Music Listening as Indicators of Depression Risk

no code implementations28 Sep 2020 Aayush Surana, Yash Goyal, Vinoo Alluri

Music, an integral part of our lives, which is not only a source of entertainment but plays an important role in mental well-being by impacting moods, emotions and other affective states.

Tag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk

no code implementations26 Jul 2020 Aayush Surana, Yash Goyal, Manish Shrivastava, Suvi Saarikallio, Vinoo Alluri

Studies have shown musical engagement to be an indirect representation of internal states including internalized symptomatology and depression.

Question-Conditioned Counterfactual Image Generation for VQA

no code implementations14 Nov 2019 Jingjing Pan, Yash Goyal, Stefan Lee

While Visual Question Answering (VQA) models continue to push the state-of-the-art forward, they largely remain black-boxes - failing to provide insight into how or why an answer is generated.

Image Generation Question Answering +2

Explaining Classifiers with Causal Concept Effect (CaCE)

no code implementations16 Jul 2019 Yash Goyal, Amir Feder, Uri Shalit, Been Kim

To overcome this problem, we define the Causal Concept Effect (CaCE) as the causal effect of (the presence or absence of) a human-interpretable concept on a deep neural net's predictions.

Causal Inference

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