![This article in Science discusses the work from Ph.D. student Ivan Stelmakh, advised by Nihar Shah and Aarti Singh on how #AI conferences are using AI to assign papers to reviewers by using a new algorithm called PeerReview4All → https://mld.ai/p7h]()
This article in Science discusses the work from Ph.D. student Ivan Stelmakh, advised by Nihar Shah and Aarti Singh on how #AI conferences are using AI to assign papers to reviewers by using a new algorithm called PeerReview4All → https://mld.ai/p7h ![Can we make counterfactual predictions using only a subset of the confounding factors that affect both decisions and outcomes?⠀
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Check out this new post by Amanda Coston for a provably efficient method for doing so!⠀
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Post → https://mld.ai/6vm ⠀
Paper → https://mld.ai/63s]()
Can we make counterfactual predictions using only a subset of the confounding factors that affect both decisions and outcomes?⠀ ⠀ Check out this new post by Amanda Coston for a provably efficient method for doing so!⠀ ⠀ Post → https://mld.ai/6vm ⠀ Paper → https://mld.ai/63s ![Congratulations to Professors Nihar Shah, Virginia Smith, Sivaraman Balakrishnan, and the well-deserved #CarnegieMellon Professors for receiving a 2021 Google Research Scholar Program award! ↓ https://mld.ai/9qh]()
Congratulations to Professors Nihar Shah, Virginia Smith, Sivaraman Balakrishnan, and the well-deserved #CarnegieMellon Professors for receiving a 2021 Google Research Scholar Program award! ↓ https://mld.ai/9qh ![Factorized layers revisited: Compressing deep networks without playing the lottery, work led by Misha Khodak, Neil Tenenhltz, Lester Mackey, and Nicolo Fusi → https://mld.ai/vas via @msft_research cc: @csdatcmu]()
Factorized layers revisited: Compressing deep networks without playing the lottery, work led by Misha Khodak, Neil Tenenhltz, Lester Mackey, and Nicolo Fusi → https://mld.ai/vas via @msft_research cc: @csdatcmu ![Introducing a new #ReinforcementLearning algorithm for teaching agents how to solve tasks by providing only examples of success, avoiding the need for hand-crafted reward functions while outperforming prior imitation learning approaches. Read more →https://goo.gle/3vVksX1 via #GoogleAI]()
Introducing a new #ReinforcementLearning algorithm for teaching agents how to solve tasks by providing only examples of success, avoiding the need for hand-crafted reward functions while outperforming prior imitation learning approaches. Read more →https://goo.gle/3vVksX1 via #GoogleAI ![Congratulations to Professor Ameet Talwalkar on earning the prestigious #NSFCAREER award. His NSF-supported project aims at the broad goal of democratizing deep learning. Learn more → https://mld.ai/ns2 https://mld.ai/zyh]()
Congratulations to Professor Ameet Talwalkar on earning the prestigious #NSFCAREER award. His NSF-supported project aims at the broad goal of democratizing deep learning. Learn more → https://mld.ai/ns2 https://mld.ai/zyh ![It's been one year into the #COVID19 #pandemic. Professor and Head of the Machine Learning Department, Roni Rosenfeld talks about the human aspects of pandemics and what to expect next → https://mld.ai/hap]()
It's been one year into the #COVID19 #pandemic. Professor and Head of the Machine Learning Department, Roni Rosenfeld talks about the human aspects of pandemics and what to expect next → https://mld.ai/hap ![🥇 Congratulations to Professors Hoda Heidari and Jon Kleinberg on winning The ACM FAccT 2021 Best Paper Award with Allocating Opportunities in a Dynamic Model of Intergenerational Mobility → https://mld.ai/hjl]()
🥇 Congratulations to Professors Hoda Heidari and Jon Kleinberg on winning "The ACM FAccT 2021 Best Paper Award" with "Allocating Opportunities in a Dynamic Model of Intergenerational Mobility" → https://mld.ai/hjl ![📅 Mark your calendars - Monday, March 8, 2021, 4:00 - 5:00 PM EST 📅⠀
Join Leading Conversations in AI: The need for more #womeninAI is now! presented by @cmuinnovation and @deloitte → https://mld.ai/lcaid]()
📅 Mark your calendars - Monday, March 8, 2021, 4:00 - 5:00 PM EST 📅⠀ Join "Leading Conversations in AI: The need for more #womeninAI is now!" presented by @cmuinnovation and @deloitte → https://mld.ai/lcaid ![An Inferential Perspective on Federated Learning by Maruan Al-Shedivat ⠀
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Paper → https://t.co/5NzzIBdioy⠀
Code → https://github.com/alshedivat/fedpa⠀
Post → https://mld.ai/ifl]()
An Inferential Perspective on Federated Learning by Maruan Al-Shedivat ⠀ ⠀ Paper → https://t.co/5NzzIBdioy⠀ Code → https://github.com/alshedivat/fedpa⠀ Post → https://mld.ai/ifl ![Congratulations to Professor Hoda Heidari and Co-PIs on winning an NSF-Amazon Fairness in AI Research Award, with Fair AI in Public Policy — Achieving Fair Societal Outcomes in ML Applications to Education, Criminal Justice, and Health & Human Services ↓ https://mld.ai/fai]()
Congratulations to Professor Hoda Heidari and Co-PIs on winning an NSF-Amazon Fairness in AI Research Award, with "Fair AI in Public Policy — Achieving Fair Societal Outcomes in ML Applications to Education, Criminal Justice, and Health & Human Services" ↓ https://mld.ai/fai ![Methods to investigate bias in reviews using review *text*, and an evaluation on ICLR, leveraging the single-blind to double-blind switch in ICLR #AAAI2021 by Emaad Manzoor, and Nihar Shah @mldmcu → https://mld.ai/lhg]()
Methods to investigate bias in reviews using review *text*, and an evaluation on ICLR, leveraging the single-blind to double-blind switch in ICLR #AAAI2021 by Emaad Manzoor, and Nihar Shah @mldmcu → https://mld.ai/lhg ![Preventive maintenance is one thing, but #CarnegieMellon researchers are using #AI to perform predictive maintenance for Army Black Hawk helicopters, identifying when an engine might fail within a few flight hours → https://bit.ly/2NUfmZs via @SCSatCMU]()
Preventive maintenance is one thing, but #CarnegieMellon researchers are using #AI to perform predictive maintenance for Army Black Hawk helicopters, identifying when an engine might fail within a few flight hours → https://bit.ly/2NUfmZs via @SCSatCMU ![Don't blame Fox News for the attack on the Capitol by Ashique KhudaBukhsh, Mark Kamlet, and Tom Mitchell → https://mld.ai/7c4 via @ConversationUS]()
Don't blame Fox News for the attack on the Capitol by Ashique KhudaBukhsh, Mark Kamlet, and Tom Mitchell → https://mld.ai/7c4 via @ConversationUS ![Three mysteries in deep learning: Ensemble, knowledge distillation, and self-distillation by Zeyuan Allen-Zhu, Senior Researcher #MicrosoftResearch, Yuanzhi Li, Assistant Professor, #CarnegieMellon ↓ https://mld.ai/zmt]()
Three mysteries in deep learning: Ensemble, knowledge distillation, and self-distillation by Zeyuan Allen-Zhu, Senior Researcher #MicrosoftResearch, Yuanzhi Li, Assistant Professor, #CarnegieMellon ↓ https://mld.ai/zmt ![#ICLR2021 - Virtual Workshop How Can Findings About The Brain Improve AI Systems?'⠀
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Submission deadline → Feb 26, 2021⠀
Learn more → https://iclrbrain2ai.github.io/]()
#ICLR2021 - Virtual Workshop "How Can Findings About The Brain Improve AI Systems?"'⠀ ⠀ Submission deadline → Feb 26, 2021⠀ Learn more → https://iclrbrain2ai.github.io/ ![We wish you a Happy Holiday season and a prosperous New Year from all of us at the Machine Learning Department at CMU! 🤗]()
We wish you a Happy Holiday season and a prosperous New Year from all of us at the Machine Learning Department at CMU! 🤗 ![Why are normalizing flows typically deeper and more poorly-conditioned than GANS? How much does the choice of partition in affine couplings matter? Are affine couplings universal approximators? Theoretical analysis by F. Koehler, Viraj Mehta, and Andrej Risteski → https://mld.ai/q37]()
Why are normalizing flows typically deeper and more poorly-conditioned than GANS? How much does the choice of partition in affine couplings matter? Are affine couplings universal approximators? Theoretical analysis by F. Koehler, Viraj Mehta, and Andrej Risteski → https://mld.ai/q37
