Bachman, Philip
- Deep Reinforcement Learning that Matters
2017/09/19 by Peter Henderson, Riashat Islam, Henderson, Peter +10 · 4 voices · 81 citations
Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #cs.LG #stat.ML
- Learning Representations by Maximizing Mutual Information Across Views
2019/06/03 by Philip Bachman, Bachman, Philip, R Devon Hjelm +3 · 58 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Data-Efficient Reinforcement Learning with Self-Predictive\n Representations
2020/07/12 by Max Schwarzer, Ankesh Anand, Schwarzer, Max +9 · 29 citations
Computer Science · #Reinforcement Learning in Robotics
- NewsQA: A Machine Comprehension Dataset
2016/11/29 by Adam Trischler, Trischler, Adam, Tong Wang +11 · 15 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Pretraining Representations for Data-Efficient Reinforcement Learning
2021/06/09 by Schwarzer, Max, Rajkumar, Nitarshan, Noukhovitch, Michael +5 · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning with Pseudo-Ensembles
2014/12/16 by Bachman, Philip, Alsharif, Ouais, Precup, Doina · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
2018/02/27 by Almahairi, Amjad, Rajeswar, Sai, Sordoni, Alessandro +2 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning Algorithms for Active Learning
2017/07/31 by Philip Bachman, Alessandro Sordoni, Bachman, Philip +3 · 3 citations
Computer Science · #Algorithms and Data Compression #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Towards Information-Seeking Agents
2016/12/08 by Philip Bachman, Alessandro Sordoni, Bachman, Philip +3 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- An Architecture for Deep, Hierarchical Generative Models
2016/12/08 by Bachman, Philip · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Machine Comprehension by Text-to-Text Neural Question Generation
2017/05/04 by Yuan, Xingdi, Wang, Tong, Gulcehre, Caglar +5 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Ignorance is Bliss: Robust Control via Information Gating
2023/03/10 by Manan Tomar, Tomar, Manan, Riashat Islam +6 · 1 citation
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural dynamics and brain function