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Prikvačeni tweet
Excited that our paper on how various explainability algorithms are used in practice (https://arxiv.org/abs/1909.06342 ) was accepted to
#FAT2020@fatconference
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Love-hate relationship with Barcelona. PROs: experiencing a mix of urban grunge and rich Spanish history was refreshing; plus
@FAccTConference was lovely CONs: my laptop bag (and its contents) found a new home, thanks to ladrones. I hope the new owners enjoy my (ex-)machine
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Umang Bhatt proslijedio/la je Tweet
One of my favorite talks at
@fatconference by@umangsbhatt summarizing the state of explainable machine learning boldly. Paper: https://arxiv.org/abs/1909.06342 pic.twitter.com/8ZBHEt2QvK
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Umang Bhatt proslijedio/la je Tweet
Fantastic work by
@umangsbhatt and co. on explainability here at#FAT2020. Can’t wait to dive deeper into this! https://twitter.com/umangsbhatt/status/1204593773071613953 …pic.twitter.com/J7xV0xi44i
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Umang Bhatt proslijedio/la je Tweet
#AI explainability is mainly used for internal debugging, its goals are not clearly defined, and it has serious technical limitations. 'we suggest everyone cast doubt on those who are claiming to work with explainability technologies'@umangsbhatt at#acmfat2020Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Umang Bhatt proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Umang Bhatt proslijedio/la je Tweet
PAI research reveals that, in practice, machine learning explainability techniques fall short of transparency goals (https://arxiv.org/abs/1909.06342 ). Presenting at
#FAT2020 in the Plenary room at 11:20 today,@umangsbhatt &@alicexiang will discuss key findings:https://www.partnershiponai.org/xai-in-practice/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nice to see LinkedIn using fair rank aggregation in search and deploying feature importance explanations for engineers during model selection; h/t
@kkenthapadi in the@fiddlerlabs tutorial#FAT2020Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Please let me know if you're in town and want to connect: currently interested in all things explainability, uncertainty, and robustness
#FAT2020Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Will be talking about our paper with
@PartnershipAI on XAI in deployment (http://arxiv.org/abs/1909.06342 )Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Looking forward to a fun, productive week in Barcelona for the
@fatconferencepic.twitter.com/R2qxCr0NmnPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Gave a huge shoutout to
@dkaushik96, his policy work, and their joint exciting work on counterfactual datasets from human-in-the-loop learning
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**sarcastically** “we should use convnets to detect pneumonia in chest X-rays since ofc deep learning sees 20/20”
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Excited to have
@zacharylipton visiting@CambridgeMLG todaypic.twitter.com/l7teTdTxid
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Missing the @ideofutures podcast today
"Don't get ready, get started... Peace" @ohheypipes@metacool@Joe__GerberHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Umang Bhatt proslijedio/la je Tweet
Christopher Nolan has to begin every decade with a mind-fuck feature film. 2000: Memento 2010: Inception 2020: Tenethttps://twitter.com/TENETFilm/status/1207706910515818496 …
2:10Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Umang Bhatt proslijedio/la je Tweet
Unprompted ideation is possible, but unnecessarily difficult. It’s usually better to read a broad selection of others’ work and synthesize new ideas from there. Enriched thoughts, more ideas.
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Umang Bhatt proslijedio/la je Tweet
Just out now - me and
@jingyingyang@PartnershipAI wrote about ABOUT ML, a project looking to pull together the current disparate efforts to move towards inclusive and complete documentation requirements for ML model design, development & deployment. https://arxiv.org/abs/1912.06166Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
.
@hannawallach vehemently urging us not to forget ML is full of value-laden decisions, just like other disciplines — remember this while trying to build human-centric, “intelligible” systems
#NeurIPS2019Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Even more thrilled since this is my first paper since joining
@CambridgeMLG@LeverhulmeCFI as a doctoral student and joining@PartnershipAI as a research fellow#phdchat@AcademicChatter
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I'm also at
#NeurIPS2019@NeurIPSConf in Vancouver this week if you want to discuss explainability, fairness, and human-AI teams. Feel free to reach out! I'll be presenting a subset of this as a poster at the#HCML2019 workshop on Friday (Dec. 13) in West Level 2, Room 223-224Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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