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Our last keynote speaker Murat Tekalp is delivering his talk about “Details or Artifacts: Solving Inverse Problems in Image/Video Processing in the Era of Deep Learning”
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Our third keynote “Beyond Test Accuracies for Studying Deep Neural Networks” is being delivered by Kyunghyun Cho.
ACML 2023 poster session is still going on!
We are finishing the second day of ACML 2023 with “Graph Machine Learning” and “Machine Learning Theory III” sessions.
We finished the first set of afternoon sessions “Computer Vision III - Biomedical and Biometric Applications”, “Trustworthy Machine Learning I”, and “Machine Learning Theory II” sessions.
Nancy Chen is delivering our second keynote about “SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning”.
Our first keynote “Foundation Models for Life Science” by Le Song is currently underway.
“Computer Vision II - Document and Language Understanding”, “Applications II - Transportation and Navigation” and “Self-Supervised and Generative Models” sessions in progress in Rooms A203, A204, and A207, respectively.
We started the second day of ACML 2023 with “Computer Vision I” session at room A203, “Applications I” session at room A204, and “Machine Learning Theory I” session at room A207.
“New Horizons of Online Learning” workshop is also running at full step!
“Pattern Recognition in Healthcare Analytics (PRHA)” workshop is running at full speed!
You can still join the second part of “Trustworthy Learning Under Imperfect Data” tutorial at Room A207.
“Neural Program Synthesis and Induction” tutorial is almost halfway through at Room A204.
ACML 2023 has officially started! Please stop by the registration desk if you need any help.
Closing ceremony of ACML2022. Thanks to the authors, speakers, participants, attendees, organisers, sponsors, volunteers and everyone associated with ACML 2022. We are grateful to each and everyone of you. See you at Istanbul for ACML 2023. #ACML2022
Heartfelt congratulations to Prof. Masashi Sugiyama, Director of AIP Center, RIKEN @RIKEN_AIP_EN for receiving ACML Distinguished Contribution Award for his contribution towards research and service. #ACML2022 #MachineLearning
Congratulations to Jinyan Su, Jonhui Xu and Di Wang for Best Paper Award for the paper titled ‘On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data’ in ACML 2022. #ACML2022 #MachineLearning
Heartiest congratulations to Mingxuan Yi and Song Liu for Best Student Paper Award in ACML 2022. #MachineLearning #ACML2022
Heartfelt thanks to Kun Zhang mbzuai.ac.ae/study/faculty/… for an amazing lecture on Methodological advances in causal representation learning and causal discovery in OAMLS as a part of ACML 2022. #ACML2022 #MachineLearning
Thanks to Petar Velickovic @PetarV_93 for an amazing lecture on Graph Neural Networks: Geometric, Structural & Algorithmic as a part of OAMLS in ACML 2022. #ACML2022 #MachineLearning
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