R Devon Hjelm

1. Deep Graph Infomax
   2018/09/27 by Petar Veličković, Veličković, Petar, William Fedus +10 · 1 voice · 84 citations
   Computer Science · Mathematics · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Social and Information Networks (cs.SI) #cs.IT #cs.LG #cs.SI #stat.ML
2. Learning deep representations by mutual information estimation and maximization
   2018/08/20 by R Devon Hjelm, Hjelm, R Devon, Alex Fedorov +11 · 172 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Learning Representations by Maximizing Mutual Information Across Views
   2019/06/03 by Philip Bachman, Bachman, Philip, R Devon Hjelm +3 · 68 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
4. Data-Efficient Reinforcement Learning with Self-Predictive\n Representations
   2020/07/12 by Max Schwarzer, Ankesh Anand, Schwarzer, Max +9 · 36 citations
   Computer Science · #Reinforcement Learning in Robotics
5. Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
   2017/02/26 by Tong Che, Che, Tong, Yanran Li +11 · 15 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG)
6. Unsupervised State Representation Learning in Atari
   2019/06/19 by Ankesh Anand, Anand, Ankesh, Evan Racah +9 · 10 citations
   Computer Science · #Artificial Intelligence in Games #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
7. Leveraging exploration in off-policy algorithms via normalizing flows
   2019/05/16 by Bogdan Mazoure, Thang Doan, Mazoure, Bogdan +7 · 8 citations
   Computer Science · Physics and Astronomy · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
8. Robust Contrastive Learning against Noisy Views
   2022/01/12 by Ching-Yao Chuang, Chuang, Ching-Yao, R Devon Hjelm +13 · 6 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
9. Boundary-Seeking Generative Adversarial Networks
   2017/02/27 by R Devon Hjelm, Hjelm, R Devon, Athul Paul Jacob +9 · 6 citations
   Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
10. Implicit Regularization via Neural Feature Alignment
    2020/08/03 by Aristide Baratin, Thomas George, Baratin, Aristide +11 · 1 citation
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
11. Understanding by Understanding Not: Modeling Negation in Language Models
    2021/05/07 by Arian Hosseini, Hosseini, Arian, Siva Reddy +9 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling