#supervised — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #supervised, aggregated by home.social.
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#Tesla bringt #FSD erstmals nach #Europa
Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.
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#Tesla bringt #FSD erstmals nach #Europa
Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.
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#Tesla bringt #FSD erstmals nach #Europa
Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.
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#Tesla bringt #FSD erstmals nach #Europa
Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.
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#Tesla bringt #FSD erstmals nach #Europa
Tesla darf sein fortgeschrittenes Fahrassistenzsystem "Full Self-Driving ( #Supervised )" erstmals in Europa einsetzen, und zwar in den Niederlanden. Die dortige #Zulassungsbehörde #RDW hat dem System laut Reuters eine Typgenehmigung erteilt und gleichzeitig ein ungewöhnlich klares Statement zur Sicherheit abgegeben.
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#Tesla #FSD #Supervised: Das ist die Wahrheit! Selbsttest aus den USA zeigt die Wirklichkeit….
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#Tesla #FSD #Supervised: Das ist die Wahrheit! Selbsttest aus den USA zeigt die Wirklichkeit….
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#Tesla #FSD #Supervised: Das ist die Wahrheit! Selbsttest aus den USA zeigt die Wirklichkeit….
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#Tesla #FSD #Supervised: Das ist die Wahrheit! Selbsttest aus den USA zeigt die Wirklichkeit….
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#Tesla #FSD #Supervised: Das ist die Wahrheit! Selbsttest aus den USA zeigt die Wirklichkeit….
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Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
https://arxiv.org/abs/2507.15855
#HackerNews #Implicit #Actor #Critic #Coupling #Supervised #Learning #RLVR #ReinforcementLearning
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Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
https://arxiv.org/abs/2507.15855
#HackerNews #Implicit #Actor #Critic #Coupling #Supervised #Learning #RLVR #ReinforcementLearning
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Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
https://arxiv.org/abs/2507.15855
#HackerNews #Implicit #Actor #Critic #Coupling #Supervised #Learning #RLVR #ReinforcementLearning
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Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
https://arxiv.org/abs/2507.15855
#HackerNews #Implicit #Actor #Critic #Coupling #Supervised #Learning #RLVR #ReinforcementLearning
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Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
https://arxiv.org/abs/2507.15855
#HackerNews #Implicit #Actor #Critic #Coupling #Supervised #Learning #RLVR #ReinforcementLearning
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'A Comparative Evaluation of Quantification Methods', by Tobias Schumacher, Markus Strohmaier, Florian Lemmerich.
http://jmlr.org/papers/v26/21-0241.html
#classifiers #supervised #quantification -
'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.
http://jmlr.org/papers/v26/23-1587.html
#supervised #annotated #annotate -
'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.
http://jmlr.org/papers/v26/23-1587.html
#supervised #annotated #annotate -
'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.
http://jmlr.org/papers/v26/23-1587.html
#supervised #annotated #annotate -
'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.
http://jmlr.org/papers/v26/23-1587.html
#supervised #annotated #annotate -
'Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response', by Jue Hou, Rajarshi Mukherjee, Tianxi Cai.
http://jmlr.org/papers/v26/23-1587.html
#supervised #annotated #annotate -
'Optimizing Data Collection for Machine Learning', by Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law.
http://jmlr.org/papers/v26/23-0292.html
#supervised #deep #collecting -
'Supervised Learning with Evolving Tasks and Performance Guarantees', by Verónica Álvarez, Santiago Mazuelas, Jose A. Lozano.
http://jmlr.org/papers/v26/24-0343.html
#supervised #tasks #classification -
How long until investors and fans stop believing in bullshit? #Supervised #full #selfdriving my ass ... 😆
'Musk said in 2022 that Tesla would mass-produce robotaxis by 2024. Before that, in 2019, he said that Tesla would have a million robotaxis on roads by 2020. Musk has promised that Tesla would solve full self-driving “next year” since at least 2016.'
https://techcrunch.com/2024/12/31/elon-musks-promises-for-tesla-in-2024-from-robotaxis-to-optimus-bots/ -
'Recursive Estimation of Conditional Kernel Mean Embeddings', by Ambrus Tamás, Balázs Csanád Csáji.
http://jmlr.org/papers/v25/23-0168.html
#embeddings #supervised #estimation -
'On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models', by Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu.
http://jmlr.org/papers/v25/22-1024.html
#causal #causality #supervised -
Dear Friends #off AI (Artificial #Independence),
As we know #AI is being #supervised or #managed by Actual Income (AI) self-appointed geniuses. Or the IG-Noble usual suspects: :ablobcatgoogly:
#Bezos the #Merciless, Elon Musk rat, tik-tok politicos, Lazy #influencers, prostituted #journalists etc.
#Fortunately we all have our off #switch of #choice available. ⏹️ -
Dear Friends #off AI (Artificial #Independence),
As we know #AI is being #supervised or #managed by Actual Income (AI) self-appointed geniuses. Or the IG-Noble usual suspects: :ablobcatgoogly:
#Bezos the #Merciless, Elon Musk rat, tik-tok politicos, Lazy #influencers, prostituted #journalists etc.
#Fortunately we all have our off #switch of #choice available. ⏹️ -
Dear Friends #off AI (Artificial #Independence),
As we know #AI is being #supervised or #managed by Actual Income (AI) self-appointed geniuses. Or the IG-Noble usual suspects: :ablobcatgoogly:
#Bezos the #Merciless, Elon Musk rat, tik-tok politicos, Lazy #influencers, prostituted #journalists etc.
#Fortunately we all have our off #switch of #choice available. ⏹️ -
'Learning from many trajectories', by Stephen Tu, Roy Frostig, Mahdi Soltanolkotabi.
http://jmlr.org/papers/v25/23-1145.html
#trajectories #trajectory #supervised -
'An Entropy-Based Model for Hierarchical Learning', by Amir R. Asadi.
http://jmlr.org/papers/v25/23-0096.html
#supervised #hierarchical #multiscale -
'An Entropy-Based Model for Hierarchical Learning', by Amir R. Asadi.
http://jmlr.org/papers/v25/23-0096.html
#supervised #hierarchical #multiscale -
'An Entropy-Based Model for Hierarchical Learning', by Amir R. Asadi.
http://jmlr.org/papers/v25/23-0096.html
#supervised #hierarchical #multiscale -
'An Entropy-Based Model for Hierarchical Learning', by Amir R. Asadi.
http://jmlr.org/papers/v25/23-0096.html
#supervised #hierarchical #multiscale -
'An Entropy-Based Model for Hierarchical Learning', by Amir R. Asadi.
http://jmlr.org/papers/v25/23-0096.html
#supervised #hierarchical #multiscale -
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis, Carlos Eduardo Rosar Kos Lassance, Jon Almazán, Diane Larlus
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FASTRAIN-GNN: Fast and Accurate Self-Training for Graph Neural Networks
Amrit Nagarajan, Anand Raghunathan
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'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.
http://jmlr.org/papers/v24/21-0187.html
#supervised #labeled #annotated -
'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.
http://jmlr.org/papers/v24/21-0187.html
#supervised #labeled #annotated -
'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.
http://jmlr.org/papers/v24/21-0187.html
#supervised #labeled #annotated -
'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.
http://jmlr.org/papers/v24/21-0187.html
#supervised #labeled #annotated -
'Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes', by Aaron Sonabend-W, Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee.
http://jmlr.org/papers/v24/21-0187.html
#supervised #labeled #annotated -
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
Action editor: Joao Carreira.
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'The Power of Contrast for Feature Learning: A Theoretical Analysis', by Wenlong Ji, Zhun Deng, Ryumei Nakada, James Zou, Linjun Zhang.
http://jmlr.org/papers/v24/21-1501.html
#autoencoders #supervised #generative -
'Semi-supervised Inference for Block-wise Missing Data without Imputation', by Shanshan Song, Yuanyuan Lin, Yong Zhou.
http://jmlr.org/papers/v25/21-1504.html
#imputation #supervised #neuroimaging -
'Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction', by Jue Hou, Zijian Guo, Tianxi Cai.
http://jmlr.org/papers/v24/21-1075.html
#imputation #predictors #supervised -
'On Truthing Issues in Supervised Classification', by Jonathan K. Su.
http://jmlr.org/papers/v25/19-301.html
#classification #classifier #supervised -
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj et al.
Action editor: Frederic Sala.
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Supervised Knowledge May Hurt Novel Class Discovery Performance
ZIYUN LI, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang
Action editor: Vikas Sindhwani.