Olivier Bachem
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Adversarial Robustness in Machine Learning, Natural Language Processing Techniques, Advanced Clustering Algorithms Research, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations(2018)612 cited
- → Recent Advances in Autoencoder-Based Representation Learning(2018)359 cited
- → Gemma: Open Models Based on Gemini Research and Technology(2024)220 cited
- → Assessing Generative Models via Precision and Recall(2018)173 cited
- → A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark(2019)160 cited
- → Approximate K-Means++ in Sublinear Time(2016)119 cited
- → Greedy Strategy Works for k-Center Clustering with Outliers and Coreset Construction(2017)113 cited
- → What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study(2020)104 cited
- → Weakly-Supervised Disentanglement Without Compromises(2020)96 cited