More from the Same Authors

• 2021 : Self-supervised Learning is More Robust to Dataset Imbalance »
  Hong Liu · Jeff Z. HaoChen · Adrien Gaidon · Tengyu Ma
• 2021 : Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks »
  Ryan Sander · Wilko Schwarting · Tim Seyde · Igor Gilitschenski · Sertac Karaman · Daniela Rus
• 2022 : Infrastructure-based End-to-End Learning and Prevention of Driver Failure »
  Noam Buckman · Shiva Sreeram · Mathias Lechner · Yutong Ban · Ramin Hasani · Sertac Karaman · Daniela Rus
• 2022 : Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? »
  Gunshi Gupta · Tim G. J. Rudner · Rowan McAllister · Adrien Gaidon · Yarin Gal
• 2022 : Infrastructure-based End-to-End Learning and Prevention of Driver Failure »
  Noam Buckman · Shiva Sreeram · Mathias Lechner · Yutong Ban · Ramin Hasani · Sertac Karaman · Daniela Rus
• 2021 Oral: Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss »
  Jeff Z. HaoChen · Colin Wei · Adrien Gaidon · Tengyu Ma
• 2021 Poster: Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss »
  Jeff Z. HaoChen · Colin Wei · Adrien Gaidon · Tengyu Ma
• 2019 Poster: Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss »
  Kaidi Cao · Colin Wei · Adrien Gaidon · Nikos Arechiga · Tengyu Ma
• 2018 Poster: Invertibility of Convolutional Generative Networks from Partial Measurements »
  Fangchang Ma · Ulas Ayaz · Sertac Karaman
• 2017 : Deep Learning and photo-realistic Simulation for real-world Machine Intelligence in Autonomous Driving, Adrien Gaidon (TRI) »
  Adrien Gaidon
• 2017 : On Autonomous Driving: Challenges and Opportunities, Sertac Karaman, MIT »
  Sertac Karaman
• 2017 : Exhausting the Sim with Domain Randomization and Trying to Exhaust the Real World, Pieter Abbeel, UC Berkeley and Embodied Intelligence »
  Pieter Abbeel · Gregory Kahn