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preprints
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attribute diversity determines the systematicity gap in
visual-question answering
(in submission)
ian berlot-attwell, annabelle m. carrell, kka, yash sharma, naomi saphra
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on the varied faces of model scaling in supervised and
self-supervised learning
(in submission)
matteo gamba, arna ghosh, kka, blake richards, hossein azizpour, marten bjorkman
openreview / website
in workshops on ssl theory & practice (oral), heavy tails & neurreps, neurips 2023
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on addressing sample inefficiency in multi-view
representation learning
(in submission)
kka*, arna ghosh*, adam oberman, blake richards
workshop on ssl theory and practice, neurips 2023
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falcon: live video analytics without profiling
(in submission)
gur-eyal sela, kka, bharath balaji, joseph gonzalez, ion stoica
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selected publications
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neural population geometry across model scale: a tool for cross-species functional comparison of visual brain regions
arna ghosh, kka, zahraa chorghay, arnab kumar mondal, blake richards
computational and systems neuroscience, cosyne 2023
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assessing representation quality in ssl by measuring eigenspectrum decay
arna ghosh*, kka*, arnab kumar mondal*, blake richards
neural information processing systems, neurips 2022
openreview / code / blog
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octopus : low-latency & adaptive perception pipelines
gur-eyal sela, ionel gog, justin wong, kka, sukrit kalra, peter
schafhalter, xiangxi mo,
xin wang, bharath balaji, ion stoica, joseph gonzalez
european conference in computer vision, eccv 2022
arxiv / code
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learning from an exploring demonstrator: optimal reward estimation for bandits
wenshuo guo, kka, aditya grover, vidya muthukumar, ashwin pananjady
international conference on artificial intelligence and statistics aistats, 2022
workshop on theory of reinforcement learning, icml 2021
workshop on human-ai
collaboration in sequential decision-making
, icml 2021 (spotlight)
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discrete flows: invertible generative models for discrete data
dustin tran, keyon vafa, kka, laurent dinh, ben poole
neural information processing systems neurips, 2019
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gansynth: adversarial neural audio synthesis
jesse engel, kka,
shuo chen,
ishaan
gulrajani,
chris donahue,
adam roberts
international conference on learning representations, iclr 2019
arxiv
/magenta blog /samples
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discriminator actor critic: addressing sample
inefficiency and reward bias in adversarial
imitation learning
ilya kostrikov, kka,
debidatta dwibedi,
sergey levine,
jonathan tompson
international conference on learning representations iclr 2019
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towards mixed optimization for reinforcement learning
with
program synthesis
surya bhupatiraju*, kka*, rishabh singh
workshop on neural abstract machines and program induction,
icml 2018
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