Metz, Luke
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
2015/11/19 by Alec Radford, Luke Metz, Radford, Alec +3 · 2 voices · 352 citations
Computer Science · #Digital Media Forensic Detection #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #cs.CV #cs.LG
- GPT-4 Technical Report
2023/03/15 by OpenAI, Achiam, Josh, Adler, Steven +278 · 2698 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Gradients are Not All You Need
2021/11/10 by Luke Metz, Metz, Luke, C. Daniel Freeman +5 · 2 voices · 9 citations
#cs.LG #stat.ML
- GPT-4o System Card
2024/10/25 by OpenAI, :, A. M. Hurst +503 · 1242 citations
Medicine · #Cardiovascular Function and Risk Factors #Hyperglycemia and glycemic control in critically ill and hospitalized patients
- OpenAI o1 System Card
2024/12/21 by OpenAI, :, Aaron Jaech +347 · 525 citations
Computer Science · #Advanced Computational Techniques and Applications
- BEGAN: Boundary Equilibrium Generative Adversarial Networks
2017/03/31 by David Berthelot, Berthelot, David, Thomas Schumm +3 · 62 citations
Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Unrolled Generative Adversarial Networks
2016/11/07 by Luke Metz, Metz, Luke, Ben Poole +5 · 29 citations
Computer Science · #Anomaly Detection Techniques and Applications #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Discovered Policy Optimisation
2022/10/11 by Chris Xiaoxuan Lu, Lu, Chris, Jakub Grudzien Kuba +9 · 19 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- General-Purpose In-Context Learning by Meta-Learning Transformers
2022/12/08 by Louis Kirsch, Kirsch, Louis, J. Harrison +5 · 14 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE)
- Understanding and correcting pathologies in the training of learned optimizers
2018/10/24 by Metz, Luke, Maheswaranathan, Niru, Nixon, Jeremy +2 · 6 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- On Linear Identifiability of Learned Representations
2020/07/01 by Geoffrey Roeder, Roeder, Geoffrey, Luke Metz +3 · 1 voice · 6 citations
Computer Science · #Blind Source Separation Techniques #Neural Networks and Applications #Neural Networks and Reservoir Computing #cs.LG #stat.ML
- Learning an Adaptive Learning Rate Schedule
2019/09/20 by Xu, Zhen, Dai, Andrew M., Kemp, Jonas +1 · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- VeLO: Training Versatile Learned Optimizers by Scaling Up
2022/11/17 by Luke Metz, J. Harrison, Metz, Luke +22 · 2 voices · 5 citations
Computer Science · #Advanced Neural Network Applications #Human Pose and Action Recognition #Machine Learning and Data Classification #cs.LG #math.OC #stat.ML
- Tasks, stability, architecture, and compute: Training more effective\n learned optimizers, and using them to train themselves
2020/09/23 by Luke Metz, Niru Maheswaranathan, Metz, Luke +7 · 6 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
2022/09/22 by Harrison, James, Metz, Luke, Sohl-Dickstein, Jascha · 5 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Discrete Sequential Prediction of Continuous Actions for Deep RL
2017/05/14 by Metz, Luke, Ibarz, Julian, Jaitly, Navdeep +1 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Meta-Learning Update Rules for Unsupervised Representation Learning
2018/03/31 by Metz, Luke, Maheswaranathan, Niru, Cheung, Brian +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
2021/12/27 by Paul Vicol, Luke Metz, Vicol, Paul +3 · 3 citations
Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM #Metaheuristic Optimization Algorithms Research #Stochastic Gradient Optimization Techniques
- Practical tradeoffs between memory, compute, and performance in learned optimizers
2022/03/22 by Luke Metz, C. Daniel Freeman, Metz, Luke +7 · 3 citations
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
- Transformer-Based Learned Optimization
2022/12/02 by Erik Gärtner, Gärtner, Erik, Luke Metz +7 · 3 citations
Computer Science · #Human Pose and Action Recognition #Advanced Vision and Imaging #Generative Adversarial Networks and Image Synthesis
- Using a thousand optimization tasks to learn hyperparameter search strategies
2020/02/27 by Metz, Luke, Maheswaranathan, Niru, Sun, Ruoxi +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Reverse engineering learned optimizers reveals known and novel\n mechanisms
2020/11/04 by Niru Maheswaranathan, David Sussillo, Maheswaranathan, Niru +7 · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Model Reduction and Neural Networks #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
- Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
2020/11/12 by Parker-Holder, Jack, Metz, Luke, Resnick, Cinjon +6 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Parallel Training of Deep Networks with Local Updates
2020/12/07 by Laskin, Michael, Metz, Luke, Nabarro, Seth +5 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
2023/04/21 by Li, Oscar, Harrison, James, Sohl-Dickstein, Jascha +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
2019/10/29 by C. Daniel Freeman, Luke Metz, Freeman, C. Daniel +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics