AutoML 2024 Conference Submissions

Sequence Alignment-based Similarity Metric in Evolutionary Neural Architecture Search
Mateo Avila Pava, René Groh, Andreas M Kist
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G Dixon, Norman P Jouppi, Quoc V Le, Sheng Li
- Published: 30 Apr 2024, Last Modified: 17 Sept 2024
- AutoML 2024
- Readers: Everyone
Automated Federated Learning via Informed Pruning
AutoML 2024 Conference
- Published: 30 Apr 2024, Last Modified: 26 Aug 2024
- AutoML 2024 Workshop
- Readers: Everyone
Investigating the Impact of Hard and Easy Samples on Generalization Reveals In-class Data Imbalance
AutoML 2024 Conference
- Published: 30 Apr 2024, Last Modified: 26 Aug 2024
- AutoML 2024 Workshop
- Readers: Everyone
Don't Waste Your Time: Early Stopping Cross-Validation
Edward Bergman, Lennart Purucker, Frank Hutter
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
Training and Cross-Validating Machine Learning Pipelines with Limited Memory
Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
Analyzing Few-Shot Neural Architecture Search in a Metric-Driven Framework
Timotée Ly-Manson, Mathieu Léonardon, Abdeldjalil AISSA EL BEY, Ghouthi BOUKLI HACENE, Lukas Mauch
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
AutoCD: Automated Machine Learning for Causal Discovery Algorithms
Gerlise Chan, Tom Claassen, Holger Hoos, Tom Heskes, Mitra Baratchi
- Published: 30 Apr 2024, Last Modified: 09 Aug 2024
- AutoML 2024 Workshop
- Readers: Everyone
Confidence Interval Estimation of Predictive Performance in the Context of AutoML
Konstantinos Paraschakis, Andrea Castellani, Giorgos Borboudakis, Ioannis Tsamardinos
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
Is Mamba Capable of In-Context Learning?
Riccardo Grazzi, Julien Niklas Siems, Simon Schrodi, Thomas Brox, Frank Hutter
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
ASML: A Scalable and Efficient AutoML Solution for Data Streams
Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
Hyperparameter Optimization via Interacting with Probabilistic Circuits
Jonas Seng, Fabrizio Ventola, Zhongjie Yu, Kristian Kersting
- Published: 30 Apr 2024, Last Modified: 16 Oct 2024
- AutoML 2024 Workshop
- Readers: Everyone
Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting
Jonas Seng, Fabian Kalter, Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
Improving Transfer Learning by means of Ensemble Learning and Swarm Intelligence-based Neuroevolution
Adri Gómez, Monica Abella, Manuel Desco
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection
Yue Zhao, Leman Akoglu
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
Speeding up NAS with Adaptive Subset Selection
Vishak Prasad C, Colin White, Sibasis Nayak, Paarth Jain, Aziz Shameem, Prateek Garg, Ganesh Ramakrishnan
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone
Weight-Entanglement Meets Gradient-Based Neural Architecture Search
Rhea Sanjay Sukthanker, Arjun Krishnakumar, Mahmoud Safari, Frank Hutter
- Published: 30 Apr 2024, Last Modified: 05 Sept 2024
- AutoML 2024
- Readers: Everyone