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Russ Salakhutdinov
UPMC Professor of Computer Science at Carnegie Mellon University
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Russ Salakhutdinov proslijedio/la je tweet
CMU Provost Office 11 h
Congratulations, Russ! We are proud to have you at CMU.
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Russ Salakhutdinov 2. velj
Got promoted to a full professor at CMU:) Thanks to my amazing students, collaborators, and my mentors. CMU is a remarkable place, but what makes it truly unique is its brilliant students! Hard to find a better place to do ML and AI.
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Russ Salakhutdinov proslijedio/la je tweet
UCSD Engineering 31. sij
The 2020 Information Theory and Applications Workshop kicks off on Sunday here in San Diego! Researchers from around the country are gathering to apply theory (ie deep learning, ML) to diverse areas of science and engineering. Schedule and more info:
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Russ Salakhutdinov 31. sij
Very excited to see two of my PhD students Devendra Singh Chaplot ⁦⁦⁩ and Yao-Hung Hubert Tsai receive Facebook PhD fellowships. Congratulations!
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Paul Liang 23. sij
Excited to announce the 2nd workshop on multimodal language @ ! We welcome submissions in all areas of human language, multimodal ML, multimedia, affective computing, and applications! w/ fantastic speakers:
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Gergely Neu 15. sij
***spread the word!!!*** ITA and ALT team up for a joint symposium day on Feb 8!! Tutorials by Russ Salakhutdinov (), Alex Slivkins & Bobby Kleinberg Talks by Peter D. Grünwald and Cosma Shalizi () Register to ALT and attend:
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Russ Salakhutdinov 6. sij
Graduate School Applications at the CMU School of Computer Science : "60% of apps for the *entire school* mention the phrase "machine learning" at least once" via
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Russ Salakhutdinov 27. pro
Yoshua Bengio's response to about their debate.
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Animesh Garg 25. pro
Christmas morning academia quotes! You can either try to build it for the next decade or ... just keep talking about it but still claim "thought leadership" if/when things start working in three decades
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Lisa Lee 25. pro
Video & slides for LIRE workshop @ are now up: Check out the Talks and Panel by Jeff Bilmes Tom Griffiths & more. Thanks to all speakers & presenters for making the workshop a success!
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Russ Salakhutdinov 25. pro
Someone told me once: You can do AI or you can just talk about it.
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Machine Learning Department at CMU 24. pro
From all of us at the Machine Learning Department at CMU, we wish you a happy holiday season and a prosperous New Year!🤗
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Russ Salakhutdinov proslijedio/la je tweet
CMU School of Computer Science 17. pro
A leader in robotics research and education, is recruiting faculty in all areas of expertise. Deadline is Jan. 3
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Katja Hofmann 14. pro
Odgovor korisniku/ci @rsalakhu @wgussml i 2 ostali
The MineRL competition session is about to start - so exciting!! It’s been amazing to work with such a brilliant team, and see the fantastic progress and achievements of the participants!
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𝚠𝚒𝚕𝚕𝚒𝚊𝚖 📀 13. pro
Wow, I am so excited! The competition was featured in The Verge! We've come a long way towards Minecraft AI in the past 2 years, but this competition is a great reminder that there are so many more challenges to solve! Read More:
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Zhiting Hu 13. pro
Come join the workshop on Learning with Rich Experience. Note the location: West 208+209. Look fwd to the super exciting talks by JeffBilmes & TomGriffiths, and the contributed presentations:
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Russ Salakhutdinov 13. pro
BBC article about our competition: Come and check out the winners and talks from the top competitors: Sat Dec 14 9:00 AM @ West 116 + 117 w/ , , ,
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Thang Luong 12. pro
Our MixTape is 3.5-10.5x faster than Mixture of Softmaxes /w SOTA results in language modeling & translation. Key is to do gating in the logit space but with vectors instead of scalars (+sigmoid tree decomposition & gate sharing for efficiency). /w Zhilin, Russ, Quoc
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Russ Salakhutdinov 12. pro
Mixtape: breaking the softmax bottleneck that limits expressiveness of neural language models. A network with Mixtape Output Layer is only 35% slower than softmax-based network, while outperforming softmax in perplexity & translation quality
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Hanlin Goh 11. pro
Check out our latest work on modeling the "what's" and "where's" of objects and parts with geometric capsule representations from 3D point clouds. (with & )... I'm at all week if you want to chat about it!
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