Denil, Misha
- Learning to learn by gradient descent by gradient descent
2016/06/14 by Marcin Andrychowicz, Andrychowicz, Marcin, Misha Denil +14 · 6 voices · 59 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition #cs.LG #cs.NE
- Predicting Parameters in Deep Learning
2013/06/03 by Misha Denil, Denil, Misha, Babak Shakibi +7 · 70 citations
Computer Science · #Neural Networks and Applications #Machine Learning and Data Classification #Generative Adversarial Networks and Image Synthesis
- Learning to Navigate in Complex Environments
2016/11/11 by Piotr Mirowski, Mirowski, Piotr, Razvan Pascanu +21 · 37 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #Robotics (cs.RO)
- RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation
2023/06/20 by Konstantinos Bousmalis, Giulia Vezzani, Bousmalis, Konstantinos +73 · 41 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics
- Large-scale multilingual audio visual dubbing
2020/11/06 by Yi Yang, Brendan Shillingford, Yang, Yi +21 · 2 voices · 1 citation
Computer Science · #Digital Media Forensic Detection #Music and Audio Processing #Video Analysis and Summarization #cs.CV #cs.SD #eess.AS
- Learned Optimizers that Scale and Generalize
2017/03/14 by Olga Wichrowska, Wichrowska, Olga, Niru Maheswaranathan +11 · 23 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
- Hyperbolic Attention Networks
2018/05/24 by Çağlar Gülçehre, Gulcehre, Caglar, Misha Denil +19 · 20 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Vision-Language Models as Success Detectors
2023/03/13 by Yuqing Du, Ksenia Konyushkova, Du, Yuqing +12 · 17 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
- Noisy Activation Functions
2016/03/01 by Çağlar Gülçehre, Marcin Moczulski, Gulcehre, Caglar +5 · 13 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
- Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
2019/09/03 by Tom Le Paine, Paine, Tom Le, Çağlar Gülçehre +25 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms
- Offline Learning from Demonstrations and Unlabeled Experience
2020/11/27 by Konrad Żołna, Zolna, Konrad, Alexander Novikov +15 · 10 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Extraction of Salient Sentences from Labelled Documents
2014/12/21 by Misha Denil, Alban Demiraj, Denil, Misha +3 · 5 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Text Analysis Techniques
- Narrowing the Gap: Random Forests In Theory and In Practice
2013/10/04 by Misha Denil, Denil, Misha, David S. Matheson +3 · 5 citations
Computer Science · #Data Management and Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Learning Awareness Models
2018/04/17 by Brandon Amos, Laurent Dinh, Amos, Brandon +17 · 8 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Robot Manipulation and Learning #Reinforcement Learning in Robotics
- Deep Fried Convnets
2014/12/22 by Zichao Yang, Marcin Moczulski, Yang, Zichao +11 · 7 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
- ACDC: A Structured Efficient Linear Layer
2015/11/18 by Moczulski, Marcin, Denil, Misha, Appleyard, Jeremy +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Learning to Perform Physics Experiments via Deep Reinforcement Learning
2016/11/06 by Misha Denil, Denil, Misha, Pulkit Agrawal +9 · 6 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Anomaly Detection Techniques and Applications #Robot Manipulation and Learning
- Positive-Unlabeled Reward Learning
2019/11/01 by Danfei Xu, Xu, Danfei, Misha Denil +1 · 4 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Active Offline Policy Selection
2021/06/18 by Ksenia Konyushkova, Konyushkova, Ksenia, Yutian Chen +12 · 2 citations
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Machine Learning and Algorithms
- Learning where to Attend with Deep Architectures for Image Tracking
2011/09/16 by Misha Denil, Loris Bazzani, Denil, Misha +5 · 1 citation
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Neural dynamics and brain function #Visual Attention and Saliency Detection
- Deep Multi-Instance Transfer Learning
2014/11/12 by Kotzias, Dimitrios, Denil, Misha, Blunsom, Phil +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
2017/07/11 by Serkan Cabi, Cabi, Serkan, Sergio Gómez Colmenarejo +9 · 1 voice
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #cs.AI
- Vision-Language Model Dialog Games for Self-Improvement
2025/02/04 by Konyushkova, Ksenia, Kaplanis, Christos, Cabi, Serkan +1 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Consistency of Online Random Forests
2013/02/20 by Misha Denil, David S. Matheson, Denil, Misha +2 · 2 citations
Computer Science · #Data Management and Algorithms #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Data Classification