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Competition
Wed 7:05 Team TEG-AutoML
Workshop
AutoML-based Almond Yield Prediction and Projection in California
Shiheng Duan · Shuaiqi Wu · Erwan Monier · Paul Ullrich
Workshop
AutoML for Climate Change: A Call to Action
Renbo Tu · Nicholas Roberts · Vishak Prasad C · Sibasis Nayak · Paarth Jain · Frederic Sala · Ganesh Ramakrishnan · Ameet Talwalkar · Willie Neiswanger · Colin White
Workshop
Fri 12:45 TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Noah Hollmann · Samuel Müller · Katharina Eggensperger · Frank Hutter
Poster
Thu 9:00 AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Nicholas Roberts · Xintong Li · Tzu-Heng Huang · Dyah Adila · Spencer Schoenberg · Cheng-Yu Liu · Lauren Pick · Haotian Ma · Aws Albarghouthi · Frederic Sala
Poster
Wed 9:00 Efficient Non-Parametric Optimizer Search for Diverse Tasks
Ruochen Wang · Yuanhao Xiong · Minhao Cheng · Cho-Jui Hsieh
Poster
Wed 14:00 NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
Arjun Krishnakumar · Colin White · Arber Zela · Renbo Tu · Mahmoud Safari · Frank Hutter
Poster
Thu 9:00 Joint Entropy Search For Maximally-Informed Bayesian Optimization
Carl Hvarfner · Frank Hutter · Luigi Nardi
Poster
Wed 9:00 TA-GATES: An Encoding Scheme for Neural Network Architectures
Xuefei Ning · Zixuan Zhou · Junbo Zhao · Tianchen Zhao · Yiping Deng · Changcheng Tang · Shuang Liang · Huazhong Yang · Yu Wang
Competition
Wed 5:45 Team Freiburg AutoML
Competition
Tue 3:15 Towards better benchmarks for AutoML, meta-learning and continual learning in computer vision
Joaquin Vanschoren
Competition
Tue 3:40 AutoML for Neural Network Robustness Verification
Jan van Rijn