#debugml результаты поиска
If you happen to be at #iclr2019 come by the #DebugML workshop to say hi and check out my poster on subgroup generation for discovering intersectional bias!
If you're in NOLA for #ICLR2019, come chat with us and check out our poster at the #DebugML workshop (debug-ml-iclr2019.github.io) tomorrow! Room R03. I look forward to conversations on science, ML, science of ML, and ML for science 👩🏼🔬👩🏻💻
@rajiinio talking about her amazing research on “Debugging Discriminatory ML Systems". We, as a community, should be super proud of her for doing such amazing work at such a young age. @black_in_ai @iclr2019 #DebugML #ICLR2019
Prof. Osbert Bastani (UPenn) talking about verification of RL via policy extraction #ICLR2019 #DebugML Room R03
@besanushi of @MSFTResearch talking about "Error terrain analysis for machine learning" - a true collaborative effort between various groups @erichorvitz @ecekamar #DebugML #ICLR2019
Want to understand how @indeed job search models work #DebugML #ICLR2019. Come hear them talk at Room R03
Prof. @CynthiaRudin talks about "Dont debug your black box, replace it!!" #DebugML #ICLR2019 Room R03 @iclr2019
Prof. @aleks_madry (MIT) talking about a new perspective on adversarial robustness at #DebugML Workshop Room R03 #ICLR2019.
We must view adversarial robustness as a human phenomenon not as just another technical framework - Prof. @aleks_madry at #DebugML #ICLR2019
Daniel Kang presenting best student research paper on debugging via model assertions #DebugML #ICLR2019 @pbailis @matei_zaharia
Was happy to share @quantumblack's new approach to ML risk management, at #ICLR2019's #DebugML workshop! You can read the extended abstract here: bit.ly/2VLuXNt Thanks to ICLR attendees for great conversation and to @hima_lakkaraju + others for a great workshop!
Thank you to our speakers, PC, and all the @iclr2019 attendees who made our workshop #DebugML such a grand success! We had the highest number of registered attendees among all the #ICLR2019 workshops. @aleks_madry @CynthiaRudin @sameer_ @suchisaria @rajiinio @julius_adebayo
Talking tomorrow at the #iclr2019 #DebugML workshop about our new perspective on adversarial robustness (based on an upcoming paper): 10am in room R03 debug-ml-iclr2019.github.io
Enjoyed Prof. Madry's talk and the various posters from his group about this fascinating new perspective on adversarial examples and robustness #ICLR2019 #DebugML
What if adversarial examples are not bugs...but features? Read about our new perspective and surprising experiments: gradsci.org/adv/ [1/3] (joint work with @andrew_ilyas @ShibaniSan @tsiprasd @logan_engstrom Brandon Tran)
![aleks_madry's tweet image. What if adversarial examples are not bugs...but features? Read about our new perspective and surprising experiments: gradsci.org/adv/ [1/3] (joint work with @andrew_ilyas @ShibaniSan @tsiprasd @logan_engstrom Brandon Tran)](https://pbs.twimg.com/media/D55TwBBXsAAuCIj.jpg)
I’m both thrilled and honored that the position paper “The Scientific Method in the Science of ML” Jessica Forde and I wrote was selected for an oral at the #DebugML workshop at #ICLR2019 & I’m even more excited that Jessica will be joining me at @facebookai this summer!
Giving a talk/demo today on Error Terrain Analysis for ML, a collaboration with the Ethics& Society + Cognition teams. Come see us at #DebugML @iclr2019 R03 (10:40). Towards automated tools for robust ML engineering. @MSFTResearch @ecekamar @erichorvitz
Our entire workshop has been video recorded and is available at slideslive.com/38915480/r03-d… @iclr2019 #DebugML #ICLR2019
RT WonderMicky: If you're in NOLA for #ICLR2019, come chat with us and check out our poster at the #DebugML workshop (debug-ml-iclr2019.github.io) tomorrow! Room R03. I look forward to conversations on science, ML, science of ML, and ML for science 👩🏼🔬👩🏻💻 … artificial-intelligence.blog/people-in-ai/y…
Thanks for presenting your work at #DebugML #ICLR2019 Daniel. Glad you enjoyed the workshop! @julius_adebayo
Enjoyed Prof. Madry's talk and the various posters from his group about this fascinating new perspective on adversarial examples and robustness #ICLR2019 #DebugML
What if adversarial examples are not bugs...but features? Read about our new perspective and surprising experiments: gradsci.org/adv/ [1/3] (joint work with @andrew_ilyas @ShibaniSan @tsiprasd @logan_engstrom Brandon Tran)
Our entire workshop has been video recorded and is available at slideslive.com/38915480/r03-d… @iclr2019 #DebugML #ICLR2019
Thank you to our speakers, PC, and all the @iclr2019 attendees who made our workshop #DebugML such a grand success! We had the highest number of registered attendees among all the #ICLR2019 workshops. @aleks_madry @CynthiaRudin @sameer_ @suchisaria @rajiinio @julius_adebayo
Thanks for presenting your work at #DebugML #ICLR2019 Daniel. Glad you enjoyed the workshop! @julius_adebayo
Was happy to share @quantumblack's new approach to ML risk management, at #ICLR2019's #DebugML workshop! You can read the extended abstract here: bit.ly/2VLuXNt Thanks to ICLR attendees for great conversation and to @hima_lakkaraju + others for a great workshop!
2 out of 3 workshops that focus on ML for society @iclr2019 (#DebugML, #AI4SocialGood) are being co-organized by alumni of @datascifellows, a summer fellowship led by the amazing @rayidghani. Thank you so much for creating this community, Rayid! #ICLR2019
RT erichorvitz: For decades #ML perf. was reported as couple of composite scores besanushi demos tool iclr2019 that provides lens on "error terrains" to guide & refine. Builds on work HCOMP18 bit.ly/2LGouzF ecekamar hima_lakkaraju #DebugML MSFT…
And, "Error terrain analysis for machine learning" wins the best demo award. Our judges really loved it. Congratulations to the entire team! @besanushi @ecekamar @erichorvitz
For decades #ML perf. was reported as couple of composite scores @besanushi demos tool @iclr2019 that provides lens on "error terrains" to guide & refine. Builds on work @HCOMP18 bit.ly/2LGouzF @ecekamar @hima_lakkaraju #DebugML @MSFTResearch #AetherCommittee @compcomcon
And, "Error terrain analysis for machine learning" wins the best demo award. Our judges really loved it. Congratulations to the entire team! @besanushi @ecekamar @erichorvitz
RT WonderMicky: If you're in NOLA for #ICLR2019, come chat with us and check out our poster at the #DebugML workshop (debug-ml-iclr2019.github.io) tomorrow! Room R03. I look forward to conversations on science, ML, science of ML, and ML for science 👩🏼🔬👩🏻💻 … artificial-intelligence.blog/people-in-ai/y…
Prof. @CynthiaRudin talks about "Dont debug your black box, replace it!!" #DebugML #ICLR2019 Room R03 @iclr2019
@rajiinio talking about her amazing research on “Debugging Discriminatory ML Systems". We, as a community, should be super proud of her for doing such amazing work at such a young age. @black_in_ai @iclr2019 #DebugML #ICLR2019
After amazing talks by @sameer_ and @rajiinio, the #DebugML workshop will resume at 320pm in Room R03 with an invited talk by @suchisaria on "Safe and Reliable Machine Learning: Preventing and Identifying Failures". You do not want to miss this! #ICLR2019 @iclr2019
Want to understand how @indeed job search models work #DebugML #ICLR2019. Come hear them talk at Room R03
Daniel Kang presenting best student research paper on debugging via model assertions #DebugML #ICLR2019 @pbailis @matei_zaharia
Prof. Osbert Bastani (UPenn) talking about verification of RL via policy extraction #ICLR2019 #DebugML Room R03
If you happen to be at #iclr2019 come by the #DebugML workshop to say hi and check out my poster on subgroup generation for discovering intersectional bias!
@besanushi of @MSFTResearch talking about "Error terrain analysis for machine learning" - a true collaborative effort between various groups @erichorvitz @ecekamar #DebugML #ICLR2019
If you happen to be at #iclr2019 come by the #DebugML workshop to say hi and check out my poster on subgroup generation for discovering intersectional bias!
If you're in NOLA for #ICLR2019, come chat with us and check out our poster at the #DebugML workshop (debug-ml-iclr2019.github.io) tomorrow! Room R03. I look forward to conversations on science, ML, science of ML, and ML for science 👩🏼🔬👩🏻💻
@rajiinio talking about her amazing research on “Debugging Discriminatory ML Systems". We, as a community, should be super proud of her for doing such amazing work at such a young age. @black_in_ai @iclr2019 #DebugML #ICLR2019
Prof. @CynthiaRudin talks about "Dont debug your black box, replace it!!" #DebugML #ICLR2019 Room R03 @iclr2019
Was happy to share @quantumblack's new approach to ML risk management, at #ICLR2019's #DebugML workshop! You can read the extended abstract here: bit.ly/2VLuXNt Thanks to ICLR attendees for great conversation and to @hima_lakkaraju + others for a great workshop!
@besanushi of @MSFTResearch talking about "Error terrain analysis for machine learning" - a true collaborative effort between various groups @erichorvitz @ecekamar #DebugML #ICLR2019
Want to understand how @indeed job search models work #DebugML #ICLR2019. Come hear them talk at Room R03
Prof. Osbert Bastani (UPenn) talking about verification of RL via policy extraction #ICLR2019 #DebugML Room R03
Prof. @aleks_madry (MIT) talking about a new perspective on adversarial robustness at #DebugML Workshop Room R03 #ICLR2019.
Daniel Kang presenting best student research paper on debugging via model assertions #DebugML #ICLR2019 @pbailis @matei_zaharia
We must view adversarial robustness as a human phenomenon not as just another technical framework - Prof. @aleks_madry at #DebugML #ICLR2019
Thank you to our speakers, PC, and all the @iclr2019 attendees who made our workshop #DebugML such a grand success! We had the highest number of registered attendees among all the #ICLR2019 workshops. @aleks_madry @CynthiaRudin @sameer_ @suchisaria @rajiinio @julius_adebayo
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