Zachary Kenton

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All published works

Action	Title	Year	Authors
+ PDF Chat	On scalable oversight with weak LLMs judging strong LLMs	2024	Zachary Kenton Noah Y. Siegel János Kramár Jonah Brown-Cohen Samuel Albanie Jannis Bulian Rishabh Agarwal David Lindner Yunhao Tang Noah D. Goodman
+ PDF Chat	The Ethics of Advanced AI Assistants	2024	Iason Gabriel Arianna Manzini Geoff Keeling Lisa Anne Hendricks Verena Rieser Hasan Iqbal Nenad Tomašev Sofia Ira Ktena Zachary Kenton M. Balsa Rodríguez
+ PDF Chat	A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI	2024	Seliem El-Sayed Canfer Akbulut Amanda McCroskery Geoff Keeling Zachary Kenton Zaria Jalan Nahema Marchal Arianna Manzini Toby Shevlane Shannon Vallor
+	Explaining grokking through circuit efficiency	2023	Vikrant Varma Rohin Shah Zachary Kenton János Kramár Ramana Kumar
+	Challenges with unsupervised LLM knowledge discovery	2023	Sebastian Farquhar Vikrant Varma Zachary Kenton Johannes Gasteiger Vladimir Mikulik Rohin Shah
+	Safe Deep RL in 3D Environments using Human Feedback	2022	Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike
+	Discovering Agents	2022	Zachary Kenton Ramana Kumar Sebastian Farquhar Jonathan G. Richens Matt MacDermott Tom Everitt
+	Alignment of Language Agents	2021	Zachary Kenton Tom Everitt Laura Weidinger Iason Gabriel Vladimir Mikulik Geoffrey Irving
+ PDF Chat	Imitating Interactive Intelligence	2020	Josh Abramson Arun Ahuja Iain Barr Arthur Brussee Federico Carnevale Mary Cassin Rachita Chhaparia Stephen R. L. Clark Bogdan Damoc Andrew Dudzik
+	Imitating Interactive Intelligence	2020	Josh Abramson Arun Ahuja Iain Barr Arthur Brussee Federico Carnevale Mary Cassin Rachita Chhaparia Stephen Clark Bogdan Damoc Andrew Dudzik
+	Generalizing from a few environments in safety-critical reinforcement learning	2019	Zachary Kenton Angelos Filos Owain Evans Yarin Gal
+	A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks	2019	Angelos Filos Sebastian Farquhar Aidan N. Gomez Tim G. J. Rudner Zachary Kenton Lewis Smith Milad Alizadeh Arnoud de Kroon Yarin Gal
+	DNN's Sharpest Directions Along the SGD Trajectory.	2018	Stanisław Jastrzȩbski Zachary Kenton Nicolas Ballas Asja Fischer Yoshua Bengio Amos Storkey
+	On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length	2018	Stanisław Jastrzȩbski Zachary Kenton Nicolas Ballas Asja Fischer Yoshua Bengio Amos Storkey
+	Three Factors Influencing Minima in SGD	2017	Stanisław Jastrzȩbski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos Storkey

Common Coauthors

Coauthor	Papers Together
Vikrant Varma	5
Amos Storkey	3
Sebastian Farquhar	3
Ramana Kumar	3
Nicolas Ballas	3
Stanisław Jastrzȩbski	3
Rohin Shah	3
Asja Fischer	3
Yoshua Bengio	3
Tom Everitt	3
Sasha Brown	2
Shannon Vallor	2
Matija Franklin	2
Duncan Williams	2
Murray Shanahan	2
Alden Hung	2
Canfer Akbulut	2
Nathaniel Wong	2
Greg Wayne	2
Rachita Chhaparia	2
Nikolay Savinov	2
Arianna Manzini	2
Jessica Landon	2
János Kramár	2
Yarin Gal	2
Harry Law	2
Tim Harley	2
Seliem El-Sayed	2
Timothy Lillicrap	2
Amanda McCroskery	2
Felix Hill	2
Arthur Brussee	2
Josh Abramson	2
Bogdan Damoc	2
Soňa Mokrá	2
Nahema Marchal	2
Aurelia Guy	2
Arun Ahuja	2
Geoff Keeling	2
Petko Georgiev	2
Iason Gabriel	2
Angelos Filos	2
Laura Weidinger	2
Mary Cassin	2
Kory W. Mathewson	2
Federico Carnevale	2
Matthew Rahtz	2
Iain Barr	2
Vladimir Mikulik	2
Adam Santoro	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	2
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	2
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	2
+	Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks	2017	Pratik Chaudhari Stefano Soatto	2
+	Uncertainty-Aware Reinforcement Learning for Collision Avoidance	2017	Gregory Kahn Adam Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine	2
+	Concrete Problems in AI Safety	2016	Dario Amodei Chris Olah Jacob Steinhardt Paul F. Christiano John Schulman Dan Mané	2
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	2
+	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	2018	Lasse Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymir Mnih Tom Ward Yotam Doron Vlad Firoiu Tim Harley Iain Dunning	2
+	High-dimensional dynamics of generalization error in neural networks	2017	Madhu Advani Andrew Saxe	2
+	AI Safety Gridworlds	2017	Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg	2
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	1
+	(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics	2015	Sebastian J. Vollmer Konstantinos C. Zygalakis and Yee Whye Teh	1
+	An iteration method for the solution of the eigenvalue problem of linear differential and integral operators	1950	Cornelius Lanczos	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+	Bayesian Learning via Stochastic Gradient Langevin Dynamics	2011	Max Welling Yee Whye Teh	1
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla	1
+	Generating Sequences With Recurrent Neural Networks	2013	Alex Graves	1
+	Third-Person Imitation Learning	2017	Bradly C. Stadie Pieter Abbeel Ilya Sutskever	1
+	Opening the Black Box of Deep Neural Networks via Information	2017	Ravid Shwartz-Ziv Naftali Tishby	1
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	1
+ PDF Chat	Embodied Question Answering	2018	Abhishek Das Samyak Datta Georgia Gkioxari Stefan Lee Devi Parikh Dhruv Batra	1
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+	Deep Relaxation: partial differential equations for optimizing deep neural networks	2017	Pratik Chaudhari Adam M. Oberman Stanley Osher Stefano Soatto Guillaume Carlier	1
+	Train longer, generalize better: closing the generalization gap in large batch training of neural networks	2017	Elad Hoffer Itay Hubara Daniel Soudry	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+	Deal or No Deal? End-to-End Learning for Negotiation Dialogues	2017	Mike Lewis Denis Yarats Yann Dauphin Devi Parikh Dhruv Batra	1
+	Bayesian Sampling Using Stochastic Gradient Thermostats	2014	Nan Ding Youhan Fang Ryan Babbush Changyou Chen Robert D. Skeel Hartmut Neven	1
+	RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning	2016	Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel	1
+	A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models	2016	Chelsea Finn Paul F. Christiano Pieter Abbeel Sergey Levine	1
+	Identifying and attacking the saddle point problem in high-dimensional non-convex optimization	2014	Yann Dauphin Razvan Pascanu Çaǧlar Gülçehre Kyunghyun Cho Surya Ganguli Yoshua Bengio	1
+	Empirical Evaluation of Rectified Activations in Convolutional Network	2015	Bing Xu Naiyan Wang Tianqi Chen Mu Li	1
+ PDF Chat	Uncertainties in Parameters Estimated with Neural Networks: Application to Strong Gravitational Lensing	2017	Laurence Perreault-Levasseur Yashar Hezaveh Risa H. Wechsler	1
+	Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear	2016	Zachary C. Lipton Jianfeng Gao Lihong Li Jianshu Chen Li Deng	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Deep Residual Networks and Weight Initialization	2017	Masato Taki	1
+	Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes	2017	Lei Wu Zhanxing Zhu E Weinan	1
+	Singularity of the Hessian in Deep Learning.	2016	Levent Sagun Léon Bottou Yann LeCun	1
+	Three Factors Influencing Minima in SGD	2017	Stanisław Jastrzȩbski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos Storkey	1
+	Computing Machinery and Intelligence (1950)	2004	Alan Turing	1
+	Learning human behaviors from motion capture by adversarial imitation	2017	Josh Merel Yuval Tassa Dhruva Tb Sriram Srinivasan Jay Lemmon Ziyu Wang Greg Wayne Nicolas Heess	1
+	Theory of Deep Learning III: explaining the non-overfitting puzzle	2017	Tomaso Poggio Kenji Kawaguchi Qianli Liao Brando Miranda Lorenzo Rosasco Xavier Boix Jack D. Hidary H. N. Mhaskar	1
+	Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches	2018	Yeming Wen Paul Vicol Jimmy Ba Dustin Tran Roger Grosse	1
+	Observational Learning by Reinforcement Learning	2017	Diana Borsa Bilal Piot Rémi Munos Olivier Pietquin	1
+	The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation	2018	Miles Brundage Shahar Avin Jack Clark Helen Toner Peter Eckersley Ben Garfinkel Allan Dafoe Paul Scharre Thomas Zeitzoff Bobby Filar	1
+	Hessian-based Analysis of Large Batch Training and Robustness to Adversaries	2018	Zhewei Yao Amir Gholami Qi Lei Kurt Keutzer Michael W. Mahoney	1
+	Grounded Language Learning in a Simulated 3D World	2017	Karl Moritz Hermann Felix Hill Simon Green Fumin Wang Ryan Faulkner Hubert Soyer David Szepesvari Wojciech Marian Czarnecki Max Jaderberg Denis Teplyashin	1