Michael Maire
- FractalNet: Ultra-Deep Neural Networks without Residuals
2016/05/24 by Gustav Larsson, Larsson, Gustav, Michael Maire +3 · 33 citations
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
- Learning Representations for Automatic Colorization
2016/03/22 by Gustav Larsson, Michael Maire, Larsson, Gustav +3 · 17 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image and Video Retrieval Techniques #Image Enhancement Techniques
- Multimodal Contrastive Training for Visual Representation Learning
2021/04/26 by Xin Yuan, Zhe Lin, Yuan, Xin +13 · 11 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
2020/11/23 by Tri Huynh, Huynh, Tri, Simon Kornblith +7 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Colorization as a Proxy Task for Visual Understanding
2017/03/11 by Gustav Larsson, Larsson, Gustav, Michael Maire +3 · 9 citations
Computer Science · Engineering · #Advanced Chemical Sensor Technologies #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Approaching Deep Learning through the Spectral Dynamics of Weights
2024/08/21 by David Yunis, Kumar Kshitij Patel, Yunis, David +14 · 2 voices · 7 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques #cs.AI #cs.LG
- Winning the Lottery with Continuous Sparsification
2019/12/10 by Pedro Savarese, Hugo Silva, Savarese, Pedro +3 · 4 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) #Machine Learning and Data Classification
- Self-Supervised Visual Representation Learning from Hierarchical Grouping
2020/12/05 by Xiao Zhang, Zhang, Xiao, Michael Maire +1 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications
- Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators
2024/04/23 by Mingyuan Xiang, Xiang, Mingyuan, Xuhan Xie +9 · 2 citations
Engineering · #Advanced Memory and Neural Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Radiation Effects in Electronics
- Residual Connections Harm Generative Representation Learning
2024/04/16 by Xiao Zhang, Ruoxi Jiang, Zhang, Xiao +7 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning and Data Classification #Text and Document Classification Technologies
- Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
2023/12/11 by Xiao Zhang, Zhang, Xiao, David Yunis +3 · 1 citation
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Neural Networks and Applications #Remote-Sensing Image Classification