Synthical
Your space
Profile
Activity
Favorites
Folders
Feeds
All articles
Claim page
Luke Metz
Follow
Activity
Upvotes
Folders
Articles
31
OpenAI o1 System Card
21 December 2024 by
Openai
and
others
Artificial Intelligence
GPT-4o System Card
25 October 2024 by
Openai
and
others
Computation and Language
,
Artificial Intelligence
GPT-4 Technical Report
1 March 2024 by
Openai
and
others
Computation and Language
,
Artificial Intelligence
General-Purpose In-Context Learning by Meta-Learning Transformers
9 January 2024 by
Louis Kirsch
and
others
Machine Learning
,
Artificial Intelligence
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
9 December 2023 by
Oscar Li
and
others
Neural and Evolutionary Computing
,
Artificial Intelligence
Transformer-Based Learned Optimization
5 April 2023 by
Erik Gärtner
and
others
Computer Vision and Pattern Recognition
VeLO: Training Versatile Learned Optimizers by Scaling Up
17 November 2022 by
Luke Metz
and
others
Machine Learning
,
Optimization and Control
Discovered Policy Optimisation
13 October 2022 by
Chris Lu
and
others
Machine Learning
,
Artificial Intelligence
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
22 September 2022 by
James Harrison
and
others
Machine Learning
,
Optimization and Control
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
10 June 2022 by
Aarohi Srivastava
and
others
Computation and Language
,
Artificial Intelligence
Practical tradeoffs between memory, compute, and performance in learned optimizers
1 April 2022 by
Luke Metz
and
others
at
Google
Machine Learning
,
Neural and Evolutionary Computing
Gradients are Not All You Need
21 January 2022 by
Luke Metz
and
others
Machine Learning
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
27 December 2021 by
Paul Vicol
and
others
Machine Learning
Lyapunov Exponents for Diversity in Differentiable Games
24 December 2021 by
Jonathan Lorraine
and
others
Computer Science and Game Theory
,
Machine Learning
Reverse engineering learned optimizers reveals known and novel mechanisms
7 December 2021 by
Niru Maheswaranathan
and
others
Machine Learning
,
Neural and Evolutionary Computing
Parallel Training of Deep Networks with Local Updates
15 June 2021 by
Michael Laskin
and
others
Machine Learning
,
Artificial Intelligence
Training Learned Optimizers with Randomly Initialized Learned Optimizers
14 January 2021 by
Luke Metz
and
others
Machine Learning
,
Neural and Evolutionary Computing
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
12 November 2020 by
Jack Parker-Holder
and
others
Machine Learning
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves
23 September 2020 by
Luke Metz
and
others
Machine Learning
,
Neural and Evolutionary Computing
On Linear Identifiability of Learned Representations
6 July 2020 by
Geoffrey Roeder
and
others
Machine Learning
Using a thousand optimization tasks to learn hyperparameter search strategies
11 March 2020 by
Luke Metz
and
others
Machine Learning
Towards GAN Benchmarks Which Require Generalization
10 January 2020 by
Ishaan Gulrajani
and
others
at
Google
Machine Learning
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
31 October 2019 by
C. Daniel Freeman
and
others
Neural and Evolutionary Computing
,
Machine Learning
Learning an Adaptive Learning Rate Schedule
20 September 2019 by
Zhen Xu
and
others
Machine Learning
Using learned optimizers to make models robust to input noise
8 June 2019 by
Luke Metz
and
others
Machine Learning
Learned optimizers that outperform SGD on wall-clock and test loss
26 October 2018 by
Luke Metz
and
others
Neural and Evolutionary Computing
,
Machine Learning
Guided evolutionary strategies: escaping the curse of dimensionality in random search
28 June 2018 by
Niru Maheswaranathan
and
others
Neural and Evolutionary Computing
,
Machine Learning
Discrete Sequential Prediction of Continuous Actions for Deep RL
16 June 2018 by
Luke Metz
and
others
Machine Learning
,
Artificial Intelligence
Learning Unsupervised Learning Rules
23 May 2018 by
Luke Metz
and
others
Machine Learning
,
Neural and Evolutionary Computing
Adversarial Spheres
11 January 2018 by
Justin Gilmer
and
others
Computer Vision and Pattern Recognition
Load more
This is an AI-generated summary
Key points
Topics
Machine Learning
Neural and Evolutionary Computing
Artificial Intelligence
Computer Vision and Pattern Recognition
Optimization and Control
Computation and Language
Computers and Society
Computer Science and Game Theory
Multiagent Systems