Pratyay Banerjee
@Ju55Pratyay
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NLP and VL Scientist | Amazon Alexa |Ph.D. in Computer Science from Arizona State.
Sunnyvale, CA
Joined March 2015
THREAD: The evolution of Pokémon cards through history, as generated by DALL·E 2 For starters, here’s what DALL·E 2 thinks 21st century Pokémon cards look like, using prompts like “A Pokémon card from 2001”
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Congrats to Cogint-ASU ( https://t.co/RFcI5LLHfE) members for papers accepted to #ACL2022. Welcome to stop by for a presentation or poster session. Looking forward to your attendance! @Swarooprm7 @nrj_varshney @trgokhale @Ju55Pratyay @manluo12 @Mihir3009 @FPSLuozi @cbaral (1/14)
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Busy Spring season, and thrilled to witness @ApgAsu ers and friends to hit/about to hit a victory run. PhD proposal defenses: @varunjammula (Mar 22nd) and @trgokhale (March 24th) PhD thesis defenses: @Jacob292020 (Apr 1st) and M. Farhadi (April 8th), @Ju55Pratyay (April 4th) ✊
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@Ju55Pratyay (@cbaral group) and @trgokhale started from the obvious (to a #CV person like me): Geometry of the scene facilitates spatial reasoning for #VQA... Later they discovered some not-so-obvious-es (OOD etc.) and will present them @ICCV_2021. Pdf: https://t.co/rBgAuhTRuv
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Truly appreciate the insightful and constructive suggestions from @NSF Robust Intelligence #CV panelists. Excited to launch a new project with @cbaral at @SCAI_ASU! Many ideas were brewed with our talented PhDs @trgokhale @Ju55Pratyay, Shailaja Sampat 🙏 https://t.co/y4KDvdvYLh
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Congratulations to @Ju55Pratyay @trgokhale and @Jacob292020 for #ICCV2021 acceptances! Appreciate all the reviewers' input to @ApgAsu submissions (whether they made it or not). I would go if organizers of #ICCV2021 decide to do a partial in-person meeting in #Montreal. You?
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Also very happy to get an offer from #ACL2021NLP to have @Ju55Pratyay @trgokhale (@apgasu)' "WeaQA" in ACL-Findings. Title: WeaQA: Weak Supervision via Captions for Visual Question Answering ArXiv Draft: https://t.co/mn45tTWePs Collaboration with @cbaral.
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I am super happy for @ApgAsu Ph.D. Joshua Feinglass ( https://t.co/9HqDWfkmgA). His first paper "SMURF" got accepted to #ACL2021NLP main conference 🙂 J. Feinglass and Y. Yang: SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis. MTC
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New from Google Research: CANINE, a pre-trained tokenization-free language encoder. This frees us from a variety of pitfalls associated with tokenization, but also improves quality on TyDi QA, a multilingual question answering benchmark. https://t.co/dwEvGmezMB
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Looks to be a future classic of the genre: (by @kaleybrauer ).
"I'll Finish It This Week" And Other Lies https://t.co/df4P8Nom71
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#ASU ers, this Spring, we are excited to announce a seminar series on frontier topics in #CV and #NLP (3:30pm PST, 4:30pm AZ, 6:30pm EST). The first five confirmed speakers🙏are: Jan18: @Zhou_Yu_AI Jan27: Fuxin Li (OSU) Feb3: @bluevincent Feb10: @xiaolonw Feb15: @abhshkdz
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Woke up Saturday morning, log onto the #NeurIPS2020 workshop gather town, and found a surprise surprise from @Ju55Pratyay and @trgokhale ... Okay we are at the https://t.co/ZttrXuMD5K poster session talking about training #VisualQuestionAnswering models without QA annotations...
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Presenting our work on leveraging Moving Target Defense to secure failure-monitoring mechanisms in Power Networks @GameSec_Conf tomorrow morning! Joint work with @rao2z @kaustavbee and Arunabha Sen. Paper - https://t.co/08xc7PoKVO
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Are you a PhD student or an independent researcher who is working on creating a dataset? @scale_ai will sponsor promising dataset creation projects that can widely benefit a community. Please DM me for details.
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“We suggest excluding this reviewer because of an obvious conflict of interest”
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1) with @Jacob292020 @trgokhale @Ju55Pratyay and Chitta Baral: Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. Preprint: https://t.co/7qfMHN8zax The work was initiated at 2019 #Telluride #Neuromorphic Cog. Engi. Workshop
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Along with MUTANT & V2C, our Knowledge Triplet Learning for zero-shot MCQA is accepted to #emnlp2020.
2) with @trgokhale @Ju55Pratyay and Chitta Baral: MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. It is a sister work with #ECCV2020 VQA-LOL paper: https://t.co/kn2qFN40yG And hopefully being the second chapter of a trilogy :) #VQA
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2) with @trgokhale @Ju55Pratyay and Chitta Baral: MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. It is a sister work with #ECCV2020 VQA-LOL paper: https://t.co/kn2qFN40yG And hopefully being the second chapter of a trilogy :) #VQA
arxiv.org
Logical connectives and their implications on the meaning of a natural language sentence are a fundamental aspect of understanding. In this paper, we investigate whether visual question answering...
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