McWilliams, Brian
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
2024/03/08 by Gemini Robotics Team, Gemini Team, Petko Georgiev +2277 · 4 voices · 557 citations
Computer Science · #Semantic Web and Ontologies
- Neural Importance Sampling
2018/08/11 by Müller, Thomas, McWilliams, Brian, Rousselle, Fabrice +2 · 16 citations
#FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Representation Learning via Invariant Causal Mechanisms
2020/10/15 by Jovana Mitrovic, Brian McWilliams, Mitrovic, Jovana +7 · 9 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Multimodal Machine Learning Applications
- MusicRL: Aligning Music Generation to Human Preferences
2024/02/06 by Cideron, Geoffrey, Girgin, Sertan, Verzetti, Mauro +11 · 10 citations
#Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
- Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
2022/01/13 by Tomasev, Nenad, Bica, Ioana, McWilliams, Brian +4 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Social diversity and social preferences in mixed-motive reinforcement learning
2020/02/06 by McKee, Kevin R., Gemp, Ian, McWilliams, Brian +3 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
- TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
2022/09/15 by Xinyang Zhang, Zhang, Xinyang, Yury Malkov +11 · 5 citations
Computer Science · Social Sciences · #Topic Modeling #Natural Language Processing Techniques #Misinformation and Its Impacts
- A Fully Progressive Approach to Single-Image Super-Resolution
2018/04/09 by Wang, Yifan, Perazzi, Federico, McWilliams, Brian +3 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- EigenGame: PCA as a Nash Equilibrium
2020/10/01 by Ian Gemp, Gemp, Ian, Brian McWilliams +5 · 2 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- EigenGame Unloaded: When playing games is better than optimizing
2021/02/08 by Gemp, Ian, McWilliams, Brian, Vernade, Claire +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Fast and Robust Least Squares Estimation in Corrupted Linear Models
2014/06/12 by McWilliams, Brian, Krummenacher, Gabriel, Lucic, Mario +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Variance Reduced Stochastic Gradient Descent with Neighbors
2015/06/11 by Hofmann, Thomas, Lucchi, Aurelien, Lacoste-Julien, Simon +1 · 1 citation
#68T05 #90C06 #90C25 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Scalable Adaptive Stochastic Optimization Using Random Projections
2016/11/21 by Krummenacher, Gabriel, McWilliams, Brian, Kilcher, Yannic +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)