Postdoc & RA positions in #AutoML #ActiveLearning #BayesianOptimization #NeuralArchitectureSearch #ReinforcementLearning #MultiAgentRL #AutoRL @NUSComputing See https://t.co/KI2CHrfiyi #ICLR2023 #AAAI2023 #IJCAI2023 #UAI2023 #AISTATS2023 #NeurIPS2023 Meet me @ #ICML2023

Congrats!!! to @qphong @Dai_Zh @ZCODE0 @WuZhaoxuan @bryanklow @pjaillet for their accepted papers on #BayesianOptimization #NeuralArchitectureSearch #ShapleyValue #FederatedLearning #DataValuation at #NeurIPS2022:

Congrats! @greglau @apivich_h @he_zhenfeng @insebtion @WuZhaoxuan @ray_qiaorui @qphong ruth @Dai_Zh @ZCODE @pjaillet Accepted @iclr_conf #ICLR2024: #ShapleyValue #DataValuation #FederatedLearning #BayesianOptimization #NeuralArchitectureSearch #NeuralTangentKernel #AI4Science

Congrats!!! to @Dai_Zh @ZCODE0 @CYZ798775190 Haibin @bryanklow @pjaillet for their accepted papers on #BayesianOptimization #MetaLearning #NeuralArchitectureSearch at #UAI2022:

Postdoc & RA positions in Learning with Less Data: #AutoML pipeline #ActiveLearning #BayesianOptimization #NeuralArchitectureSearch @NUSComputing See https://t.co/EqSe8cV39E #ICML2023 #ICLR2023 #AAAI2023 #IJCAI2023 #UAI2023 #AISTATS2023 Meet me @ #NeurIPS2022

ギャラリー2にて、メルカリ 熊澤大樹様による「C2CマーケットプレイスにおけるNeural Architecture Searchの活用事例」の講演が始まりました！ #ccse2019 #C2C #NeuralArchitectureSearch

Currently diving deep into Progressive Neural Architecture Search (PNAS) to become an expert in cutting-edge neural network design techniques! 💡 Excited to explore and develop my own innovations in the near future. #PNAS #NeuralArchitectureSearch #MachineLearning #DeepLearning

Congrats to @ZCODE0 for winning the best Ph.D. thesis award in 2023 @NUSComputing! His thesis topic is on #NeuralArchitectureSearch. URL: https://t.co/dFAoU9pylm

Neural networks can be designed by artificial intelligence up to 200 times faster #neuralnetworks #AI #artificialintelligence #machinelearningsystems #machinelearning #neuralarchitecturesearch #MIT https://t.co/vcREa4Igww

#NeuralArchitecture & #AutoML #Technology #NeuralArchitectureSearch #NAS #AI #ArtificialIntelligence #Algorithm #ML #MachineLearning #DeepLearning #DL #NeuralNetworks #Data #dataScience #automation #Tech #Technology https://t.co/MCbKInrXwa

AutoML: A Survey of the State-of-the-Art https://t.co/iovOqhbS8d by Xin He et al. #MachineLearning #DeepLearning #ArtificialIntelligence #industry #academia #autoML #NeuralArchitectureSearch #NAS

We offer 3 well-funded #PhD & #PostDoc positions €38k-€76k p.a. at the University of Siegen #Germany (5 years). Focus is on #AutoML #RecSys #MetaLearning #NeuralArchitectureSearch #FederatedLearning #IR https://t.co/LVjPu4WdnM #jobs #openpositions #deeplearning #RS_c_Jobs

Everything You Need to Know About #AutoML and #NeuralArchitectureSearch #DataScience #AI #BI #technology #DeepLearning #BigData #Analytics https://t.co/xXNmtNTMBm

🤖 Neural Architecture Search (NAS) is revolutionizing LLM design! 🚀 NAS-optimized LLMs outperform hand-crafted models by 15% while reducing computing by 30%. How do we make NAS accessible beyond tech giants? #AI #LLMs #GenAI #NeuralArchitectureSearch #ML #DL #SecureAI #MLOps

Very interesting paper "Graph Structure of Neural Networks" define a new graph representation. Promising for #NeuralArchitectureSearch #DeepLearning https://t.co/tbpyVU6Jwj

To understand and boost gradient-based #TrainingFree #NeuralArchitectureSearch algorithms, the #NeurIPS2022 work of @ZCODE0 @Dai_Zh @WuZhaoxuan @bryanklow provides the first unified theoretical study and principled improvement for them based on theory of #NeuralTangentKernel.

The #ICLR2022 paper of @ZCODE0 Shaofeng @Dai_Zh Beng Chin @bryanklow proposes training-free #NeuralArchitectureSearch based on #NeuralTangentKernel. Paper: https://t.co/rZMrxoGwDj

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search White et al.: https://t.co/OuEUESsJPB #Bayesian #Optimization #NeuralArchitectureSearch

Introducing DiNAS 🎉 DiNAS ( https://t.co/zUFrfG0BAz in TMLR) deploys discrete conditional diffusion processes to perform standard and hardware-aware #neuralarchitecturesearch. Here is what makes DiNAS stand out: