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Workshop
Sat 12:00 2.9 ‘Algorithm-Performance Personas’ for Siamese Meta-Learning and Automated Algorithm Selection
Joeran Beel
Workshop
Discrete Planning with End-to-end Trained Neuro-algorithmic Policies
Marin Vlastelica
Workshop
(#46 / Sess. 2) Discrete Planning with End-to-end Trained Neuro-algorithmic Policies
Marin Vlastelica
Workshop
Sat 11:55 2.2 Towards Algorithm-Agnostic Uncertainty Estimation: Predicting Classification Error in an Automated Machine Learning Setting
Matthias König
Poster
Wed 10:00 Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun · Xiaolong Wang · Zhuang Liu · John Miller · Alexei Efros · Moritz Hardt
Poster
Wed 5:00 An Accelerated DFO Algorithm for Finite-sum Convex Functions
Yuwen Chen · Antonio Orvieto · Aurelien Lucchi
Poster
Tue 14:00 Finding trainable sparse networks through Neural Tangent Transfer
Tianlin Liu · Friedemann Zenke
Poster
Tue 7:00 Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms
Chaosheng Dong · Bo Zeng
Affinity Workshop
Mon 7:50 When do ranking algorithms reinforce, replicate, or weaken inequalities in directed social networks?
Lisette Espín
Poster
Tue 7:00 A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen · Simon Kornblith · Mohammad Norouzi · Geoffrey Hinton
Poster
Tue 8:00 AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real · Chen Liang · David So · Quoc Le
Poster
Thu 13:00 Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
Fabian Latorre · Paul Rolland · Shaul Nadav Hallak · Volkan Cevher