Max Schwarzer
Université de Montréal(CA)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Natural Language Processing Techniques, Advanced Electron Microscopy Techniques and Applications
Most-Cited Works
- → Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks(2019)83 cited
- → Data-Efficient Reinforcement Learning with Self-Predictive Representations(2020)50 cited
- → MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training(2024)42 cited
- → Deep Reinforcement Learning at the Edge of the Statistical Precipice(2021)41 cited
- → Pretraining Representations for Data-Efficient Reinforcement Learning(2021)33 cited
- → The Primacy Bias in Deep Reinforcement Learning(2022)14 cited
- → MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training(2024)11 cited
- → Large Language Models as Generalizable Policies for Embodied Tasks(2023)7 cited
- → Simplicial Embeddings in Self-Supervised Learning and Downstream Classification(2022)6 cited