Max Sobol Mark

2 papers · 2020–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

CVPR (1) NeurIPS (1)

Top co-authors

Aviral Kumar (1) Alex Andonian (1) Simon Zhai (1) Sergey Levine (1) Daniel Yamins (1) Anikait Singh (1) Mitsuhiko Nakamoto (1) Chelsea Finn (1) Yi Ma (1) Chengxu Zhuang (1)

Research topics

Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Machine Learning (1) Reinforcement Learning (1) Analysis (1) Core Methods (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Methods (1) Processing (1)

Keywords

unsupervised learning (1) representation learning (1) offline reinforcement learning (1) action recognition (1) self-supervised learning (1) value function (1) object categorization (1) video representation (1) video embedding (1) online fine-tuning (1) conservative q-learning (1) deep neural embedding (1) calibrated q-learning (1)

Papers

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning NeurIPS 2023 Unsupervised Learning From Video With Deep Neural Embeddings CVPR 2020