#neurips2022 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #neurips2022, aggregated by home.social.
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Paper on 'MLOps for Compositional AI' published at #NeurIPS 2022 Workshop on Challenges in Deploying and Monitoring Machine Learning Systems (DMML).
Paper: https://www.researchgate.net/publication/364603411_MLOps_for_Compositional_AIA blog version of the paper is also available on @towardsdatascience
https://towardsdatascience.com/bridging-dataops-mlops-301f010caf30#neurips2022 #mlops #compositionalai #artificialintelligence #machinelearning #dataops #dmml #paper #wiproai #enterpriseai
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@bwaber Thank you for this! I have an updated version of the talk that was a keynote at #NeurIPS2022 in case you might be interested: https://slideslive.com/38996064
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@bwaber Thank you for this! I have an updated version of the talk that was a keynote at #NeurIPS2022 in case you might be interested: https://slideslive.com/38996064
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@bwaber Thank you for this! I have an updated version of the talk that was a keynote at #NeurIPS2022 in case you might be interested: https://slideslive.com/38996064
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@bwaber Thank you for this! I have an updated version of the talk that was a keynote at #NeurIPS2022 in case you might be interested: https://slideslive.com/38996064
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The video of my #NeurIPS2022 keynote on "Interaction-Centric AI" is finally publicly available. Happy to discuss & collaborate with people who find it relevant and interesting. A big thank you to Alice Oh for moderating the session.
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The video of my #NeurIPS2022 keynote on "Interaction-Centric AI" is finally publicly available. Happy to discuss & collaborate with people who find it relevant and interesting. A big thank you to Alice Oh for moderating the session.
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The video of my #NeurIPS2022 keynote on "Interaction-Centric AI" is finally publicly available. Happy to discuss & collaborate with people who find it relevant and interesting. A big thank you to Alice Oh for moderating the session.
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The video of my #NeurIPS2022 keynote on "Interaction-Centric AI" is finally publicly available. Happy to discuss & collaborate with people who find it relevant and interesting. A big thank you to Alice Oh for moderating the session.
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MIT News covered our latest study of computer programming in the brain 🙂
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MIT News covered our latest study of computer programming in the brain 🙂
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MIT News covered our latest study of computer programming in the brain 🙂
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MIT News covered our latest study of computer programming in the brain 🙂
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MIT News covered our latest study of computer programming in the brain 🙂
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Interested in neural networks, survival analysis, and quantile regression? This paper is for you. 😁 As presented at #NeurIPS2022.
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Paper: https://arxiv.org/abs/2205.13496 -
Interested in neural networks, survival analysis, and quantile regression? This paper is for you. 😁 As presented at #NeurIPS2022.
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Paper: https://arxiv.org/abs/2205.13496 -
#MineDojo https://minedojo.org/ associates an #LLM to a #Minecraft game. Given a prompt describing an action, it will drive the character to perform them. That does not seem much, but that means the #AI is embodied in a character, which is key to grounding the knowledge.
It is trained on YouTube videos where people explain what they do.
They received #NeurIPS2022 Outstanding Paper Award. -
#MineDojo https://minedojo.org/ associates an #LLM to a #Minecraft game. Given a prompt describing an action, it will drive the character to perform them. That does not seem much, but that means the #AI is embodied in a character, which is key to grounding the knowledge.
It is trained on YouTube videos where people explain what they do.
They received #NeurIPS2022 Outstanding Paper Award. -
#MineDojo https://minedojo.org/ associates an #LLM to a #Minecraft game. Given a prompt describing an action, it will drive the character to perform them. That does not seem much, but that means the #AI is embodied in a character, which is key to grounding the knowledge.
It is trained on YouTube videos where people explain what they do.
They received #NeurIPS2022 Outstanding Paper Award. -
#MineDojo https://minedojo.org/ associates an #LLM to a #Minecraft game. Given a prompt describing an action, it will drive the character to perform them. That does not seem much, but that means the #AI is embodied in a character, which is key to grounding the knowledge.
It is trained on YouTube videos where people explain what they do.
They received #NeurIPS2022 Outstanding Paper Award. -
#MineDojo https://minedojo.org/ associates an #LLM to a #Minecraft game. Given a prompt describing an action, it will drive the character to perform them. That does not seem much, but that means the #AI is embodied in a character, which is key to grounding the knowledge.
It is trained on YouTube videos where people explain what they do.
They received #NeurIPS2022 Outstanding Paper Award. -
We had a great #NeurIPS2022 workshop ML for Autonomous Driving!
Most videos now here: https://ml4ad.github.io/ (slideslive videos out later)
Thank you speakers, reviewers, authors, attendees, organizers: Jiachen Li (lead), Nigamaa Nayakanti, Xinshuo Weng, Daniel Omeiza, Ali Baheri, Germán Ros
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We had a great #NeurIPS2022 workshop ML for Autonomous Driving!
Most videos now here: https://ml4ad.github.io/ (slideslive videos out later)
Thank you speakers, reviewers, authors, attendees, organizers: Jiachen Li (lead), Nigamaa Nayakanti, Xinshuo Weng, Daniel Omeiza, Ali Baheri, Germán Ros
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We had a great #NeurIPS2022 workshop ML for Autonomous Driving!
Most videos now here: https://ml4ad.github.io/ (slideslive videos out later)
Thank you speakers, reviewers, authors, attendees, organizers: Jiachen Li (lead), Nigamaa Nayakanti, Xinshuo Weng, Daniel Omeiza, Ali Baheri, Germán Ros
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We had a great #NeurIPS2022 workshop ML for Autonomous Driving!
Most videos now here: https://ml4ad.github.io/ (slideslive videos out later)
Thank you speakers, reviewers, authors, attendees, organizers: Jiachen Li (lead), Nigamaa Nayakanti, Xinshuo Weng, Daniel Omeiza, Ali Baheri, Germán Ros
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We had a great #NeurIPS2022 workshop ML for Autonomous Driving!
Most videos now here: https://ml4ad.github.io/ (slideslive videos out later)
Thank you speakers, reviewers, authors, attendees, organizers: Jiachen Li (lead), Nigamaa Nayakanti, Xinshuo Weng, Daniel Omeiza, Ali Baheri, Germán Ros
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A paper at #NeurIPS22
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism
https://bytez.com/read/neurips/53479 #NeurIPS2022 #bytez #friendly-papers via @[email protected]
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A paper at #NeurIPS22
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism
https://bytez.com/read/neurips/53479 #NeurIPS2022 #bytez #friendly-papers via @[email protected]
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A paper at #NeurIPS22
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism
https://bytez.com/read/neurips/53479 #NeurIPS2022 #bytez #friendly-papers via @[email protected]
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A paper at #NeurIPS22
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism
https://bytez.com/read/neurips/53479 #NeurIPS2022 #bytez #friendly-papers via @[email protected]
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This BABL AI podcast conversation with Shea Brown was so much fun for me! We explore parallels between the challenge of putting AI ethics into practice in industry versus research settings.
Other issues we discuss include: the relationship between ethical risks and technical failures; taking a socio-technical perspective on AI risk; ethics review for AI research; new practical solutions like AVID; the importance and limitations of IRB; etc.
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This BABL AI podcast conversation with Shea Brown was so much fun for me! We explore parallels between the challenge of putting AI ethics into practice in industry versus research settings.
Other issues we discuss include: the relationship between ethical risks and technical failures; taking a socio-technical perspective on AI risk; ethics review for AI research; new practical solutions like AVID; the importance and limitations of IRB; etc.
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This BABL AI podcast conversation with Shea Brown was so much fun for me! We explore parallels between the challenge of putting AI ethics into practice in industry versus research settings.
Other issues we discuss include: the relationship between ethical risks and technical failures; taking a socio-technical perspective on AI risk; ethics review for AI research; new practical solutions like AVID; the importance and limitations of IRB; etc.
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This BABL AI podcast conversation with Shea Brown was so much fun for me! We explore parallels between the challenge of putting AI ethics into practice in industry versus research settings.
Other issues we discuss include: the relationship between ethical risks and technical failures; taking a socio-technical perspective on AI risk; ethics review for AI research; new practical solutions like AVID; the importance and limitations of IRB; etc.
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This BABL AI podcast conversation with Shea Brown was so much fun for me! We explore parallels between the challenge of putting AI ethics into practice in industry versus research settings.
Other issues we discuss include: the relationship between ethical risks and technical failures; taking a socio-technical perspective on AI risk; ethics review for AI research; new practical solutions like AVID; the importance and limitations of IRB; etc.
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And the winners 🏆 of the EURO Meets #NeurIPS2022 Vehicle Routing competition are...
1) Kleopatra: Kai Jungel, Léo Baty, Patrick Klein, from Technical University of Munich & Ecole des Ponts ParisTech
2) OptiML: Jasper van Doorn, Leon Lan, Luuk Pentinga, Niels Wouda, from Vrije Universiteit Amsterdam (VU Amsterdam) & University of Groningen
3) Team_sb: Yeong-Dae Kwon, Jinho Choo, Daseul Bae, Jihoon Kim, André Hottung, from SamsungSDS Korea & Bielefeld University -
And the winners 🏆 of the EURO Meets #NeurIPS2022 Vehicle Routing competition are...
1) Kleopatra: Kai Jungel, Léo Baty, Patrick Klein, from Technical University of Munich & Ecole des Ponts ParisTech
2) OptiML: Jasper van Doorn, Leon Lan, Luuk Pentinga, Niels Wouda, from Vrije Universiteit Amsterdam (VU Amsterdam) & University of Groningen
3) Team_sb: Yeong-Dae Kwon, Jinho Choo, Daseul Bae, Jihoon Kim, André Hottung, from SamsungSDS Korea & Bielefeld University -
And the winners 🏆 of the EURO Meets #NeurIPS2022 Vehicle Routing competition are...
1) Kleopatra: Kai Jungel, Léo Baty, Patrick Klein, from Technical University of Munich & Ecole des Ponts ParisTech
2) OptiML: Jasper van Doorn, Leon Lan, Luuk Pentinga, Niels Wouda, from Vrije Universiteit Amsterdam (VU Amsterdam) & University of Groningen
3) Team_sb: Yeong-Dae Kwon, Jinho Choo, Daseul Bae, Jihoon Kim, André Hottung, from SamsungSDS Korea & Bielefeld University -
And the winners 🏆 of the EURO Meets #NeurIPS2022 Vehicle Routing competition are...
1) Kleopatra: Kai Jungel, Léo Baty, Patrick Klein, from Technical University of Munich & Ecole des Ponts ParisTech
2) OptiML: Jasper van Doorn, Leon Lan, Luuk Pentinga, Niels Wouda, from Vrije Universiteit Amsterdam (VU Amsterdam) & University of Groningen
3) Team_sb: Yeong-Dae Kwon, Jinho Choo, Daseul Bae, Jihoon Kim, André Hottung, from SamsungSDS Korea & Bielefeld University -
And the winners 🏆 of the EURO Meets #NeurIPS2022 Vehicle Routing competition are...
1) Kleopatra: Kai Jungel, Léo Baty, Patrick Klein, from Technical University of Munich & Ecole des Ponts ParisTech
2) OptiML: Jasper van Doorn, Leon Lan, Luuk Pentinga, Niels Wouda, from Vrije Universiteit Amsterdam (VU Amsterdam) & University of Groningen
3) Team_sb: Yeong-Dae Kwon, Jinho Choo, Daseul Bae, Jihoon Kim, André Hottung, from SamsungSDS Korea & Bielefeld University -
Wow, Topia is such an awkward platform for poster sessions! (The interface is extremely clunky and there’s no way for folks to see posters without going to an external link.) We’re figuring it out and meeting nice folx but oooch… #neurips2022
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Wow, Topia is such an awkward platform for poster sessions! (The interface is extremely clunky and there’s no way for folks to see posters without going to an external link.) We’re figuring it out and meeting nice folx but oooch… #neurips2022
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Wow, Topia is such an awkward platform for poster sessions! (The interface is extremely clunky and there’s no way for folks to see posters without going to an external link.) We’re figuring it out and meeting nice folx but oooch… #neurips2022
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If you are joining virtual WiML #NeurIPS2022 today, @amelia is presenting some of our recent work on shortcuts in medical imaging! Find it here https://topia.io/neurips-2022-aff-joint-poster-session?spawnx=0.01&spawny=-832
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If you are joining virtual WiML #NeurIPS2022 today, @amelia is presenting some of our recent work on shortcuts in medical imaging! Find it here https://topia.io/neurips-2022-aff-joint-poster-session?spawnx=0.01&spawny=-832
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If you are joining virtual WiML #NeurIPS2022 today, @amelia is presenting some of our recent work on shortcuts in medical imaging! Find it here https://topia.io/neurips-2022-aff-joint-poster-session?spawnx=0.01&spawny=-832
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If you are joining virtual WiML #NeurIPS2022 today, @amelia is presenting some of our recent work on shortcuts in medical imaging! Find it here https://topia.io/neurips-2022-aff-joint-poster-session?spawnx=0.01&spawny=-832
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If you are joining virtual WiML #NeurIPS2022 today, @amelia is presenting some of our recent work on shortcuts in medical imaging! Find it here https://topia.io/neurips-2022-aff-joint-poster-session?spawnx=0.01&spawny=-832
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Check out Meihua Dang and Anji Liu's #NeurIPS2022 paper where tractable probabilistic circuits kill it on MNIST-family density estimation 🥳
https://arxiv.org/abs/2211.12551What are #probcircuit? Attend tomorrow's tutorial: https://neurips.cc/virtual/2022/tutorial/55809
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Check out Meihua Dang and Anji Liu's #NeurIPS2022 paper where tractable probabilistic circuits kill it on MNIST-family density estimation 🥳
https://arxiv.org/abs/2211.12551What are #probcircuit? Attend tomorrow's tutorial: https://neurips.cc/virtual/2022/tutorial/55809
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Check out Meihua Dang and Anji Liu's #NeurIPS2022 paper where tractable probabilistic circuits kill it on MNIST-family density estimation 🥳
https://arxiv.org/abs/2211.12551What are #probcircuit? Attend tomorrow's tutorial: https://neurips.cc/virtual/2022/tutorial/55809
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Check out Meihua Dang and Anji Liu's #NeurIPS2022 paper where tractable probabilistic circuits kill it on MNIST-family density estimation 🥳
https://arxiv.org/abs/2211.12551What are #probcircuit? Attend tomorrow's tutorial: https://neurips.cc/virtual/2022/tutorial/55809
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Check out Meihua Dang and Anji Liu's #NeurIPS2022 paper where tractable probabilistic circuits kill it on MNIST-family density estimation 🥳
https://arxiv.org/abs/2211.12551What are #probcircuit? Attend tomorrow's tutorial: https://neurips.cc/virtual/2022/tutorial/55809
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Controversial #machinelearning suggestions by Yann LeCun at #NeurIPS2022 Self-Supervised Learning workshop!
He suggests:
(1) abandoning generative AI architectures
(in favour of joint embedding ones)(2) abandoning probabilistic models
(in favour of energy-based models)(3) abandoning contrastive methods
(in favour of regularized methods)(3) abandoning RL where possible
(in favour of model-predictive control)Related talk:
http://youtu.be/VRzvpV9DZ8YSource: https://twitter.com/BeingMIAkashs/status/1599061227665514496
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Controversial #machinelearning suggestions by Yann LeCun at #NeurIPS2022 Self-Supervised Learning workshop!
He suggests:
(1) abandoning generative AI architectures
(in favour of joint embedding ones)(2) abandoning probabilistic models
(in favour of energy-based models)(3) abandoning contrastive methods
(in favour of regularized methods)(3) abandoning RL where possible
(in favour of model-predictive control)Related talk:
http://youtu.be/VRzvpV9DZ8YSource: https://twitter.com/BeingMIAkashs/status/1599061227665514496
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Controversial #machinelearning suggestions by Yann LeCun at #NeurIPS2022 Self-Supervised Learning workshop!
He suggests:
(1) abandoning generative AI architectures
(in favour of joint embedding ones)(2) abandoning probabilistic models
(in favour of energy-based models)(3) abandoning contrastive methods
(in favour of regularized methods)(3) abandoning RL where possible
(in favour of model-predictive control)Related talk:
http://youtu.be/VRzvpV9DZ8YSource: https://twitter.com/BeingMIAkashs/status/1599061227665514496
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Controversial #machinelearning suggestions by Yann LeCun at #NeurIPS2022 Self-Supervised Learning workshop!
He suggests:
(1) abandoning generative AI architectures
(in favour of joint embedding ones)(2) abandoning probabilistic models
(in favour of energy-based models)(3) abandoning contrastive methods
(in favour of regularized methods)(3) abandoning RL where possible
(in favour of model-predictive control)Related talk:
http://youtu.be/VRzvpV9DZ8YSource: https://twitter.com/BeingMIAkashs/status/1599061227665514496
-
Controversial #machinelearning suggestions by Yann LeCun at #NeurIPS2022 Self-Supervised Learning workshop!
He suggests:
(1) abandoning generative AI architectures
(in favour of joint embedding ones)(2) abandoning probabilistic models
(in favour of energy-based models)(3) abandoning contrastive methods
(in favour of regularized methods)(3) abandoning RL where possible
(in favour of model-predictive control)Related talk:
http://youtu.be/VRzvpV9DZ8YSource: https://twitter.com/BeingMIAkashs/status/1599061227665514496
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Daily average distance per week walked this year (km). The dip in August is when I (partially) tore my MCL, the giant spike in December is #NeurIPS2022
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Daily average distance per week walked this year (km). The dip in August is when I (partially) tore my MCL, the giant spike in December is #NeurIPS2022