Combining labeled and unlabeled data with word-class distribution learning. - Yanjun Qi; Ronan Collobert; Pavel P. Kuksa; Koray Kavukcuoglu; Jason Weston (CIKM, 2009)

Learning invariant features through topographic filter maps. - Koray Kavukcuoglu; Marc'Aurelio Ranzato; Rob Fergus; Yann LeCun (CVPR, 2009)

What is the best multi-stage architecture for object recognition? - Kevin Jarrett; Koray Kavukcuoglu; Marc'Aurelio Ranzato; Yann LeCun (ICCV, 2009)

Semi-Supervised Sequence Labeling with Self-Learned Features. - Yanjun Qi; Pavel P. Kuksa; Ronan Collobert; Kunihiko Sadamasa; Koray Kavukcuoglu; Jason Weston (ICDM, 2009)

EBLearn: Open-Source Energy-Based Learning in C++. - Pierre Sermanet; Koray Kavukcuoglu; Yann LeCun (ICTAI, 2009)

Learning long-range vision for autonomous off-road driving. - Raia Hadsell; Pierre Sermanet; Jan Ben; Ayse Erkan; Marco Scoffier; Koray Kavukcuoglu; Urs Muller; Yann LeCun (J. Field Robotics, 2009)

Convolutional networks and applications in vision. - Yann LeCun; Koray Kavukcuoglu; Clément Farabet (ISCAS, 2010)

Learning Convolutional Feature Hierarchies for Visual Recognition. - Koray Kavukcuoglu; Pierre Sermanet; Y-Lan Boureau; Karol Gregor; Michaël Mathieu; Yann LeCun (NIPS, 2010)

Convolutional Matching Pursuit and Dictionary Training - Arthur Szlam; Koray Kavukcuoglu; Yann LeCun (CoRR, 2010)

Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition - Koray Kavukcuoglu; Marc'Aurelio Ranzato; Yann LeCun (CoRR, 2010)

Unsupervised Learning of Sparse Features for Scalable Audio Classification. - Mikael Henaff; Kevin Jarrett; Koray Kavukcuoglu; Yann LeCun (ISMIR, 2011)

Natural Language Processing (Almost) from Scratch. - Ronan Collobert; Jason Weston; Léon Bottou; Michael Karlen; Koray Kavukcuoglu; Pavel P. Kuksa (J. Mach. Learn. Res., 2011)

Learning Feature Hierarchies for Object Recognition. - Koray Kavukcuoglu (2011)

A Binary Classification Framework for Two-Stage Multiple Kernel Learning. - Abhishek Kumar 001; Alexandru Niculescu-Mizil; Koray Kavukcuoglu; Hal Daumé III (ICML, 2012)

Learning the Dependency Structure of Latent Factors. - Yunlong He; Yanjun Qi; Koray Kavukcuoglu; Haesun Park (NIPS, 2012)

Implementing Neural Networks Efficiently. - Ronan Collobert; Koray Kavukcuoglu; Clément Farabet (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

Pedestrian Detection with Unsupervised Multi-stage Feature Learning. - Pierre Sermanet; Koray Kavukcuoglu; Soumith Chintala; Yann LeCun (CVPR, 2013)

Learning word embeddings efficiently with noise-contrastive estimation. - Andriy Mnih; Koray Kavukcuoglu (NIPS, 2013)

Playing Atari with Deep Reinforcement Learning. - Volodymyr Mnih; Koray Kavukcuoglu; David Silver; Alex Graves; Ioannis Antonoglou; Daan Wierstra; Martin A. Riedmiller (CoRR, 2013)

Recurrent Models of Visual Attention. - Volodymyr Mnih; Nicolas Heess; Alex Graves; Koray Kavukcuoglu (NIPS, 2014)

Unsupervised Feature Learning by Deep Sparse Coding. - Yunlong He; Koray Kavukcuoglu; Yun Wang; Arthur Szlam; Yanjun Qi (ICLR (Workshop), 2014)

Weight Uncertainty in Neural Network. - Charles Blundell; Julien Cornebise; Koray Kavukcuoglu; Daan Wierstra (ICML, 2015)

Natural Neural Networks. - Guillaume Desjardins; Karen Simonyan; Razvan Pascanu; Koray Kavukcuoglu (NIPS, 2015)

Spatial Transformer Networks. - Max Jaderberg; Karen Simonyan; Andrew Zisserman; Koray Kavukcuoglu (NIPS, 2015)

Multiple Object Recognition with Visual Attention. - Jimmy Ba; Volodymyr Mnih; Koray Kavukcuoglu (ICLR (Poster), 2015)

Weight Uncertainty in Neural Networks. - Charles Blundell; Julien Cornebise; Koray Kavukcuoglu; Daan Wierstra (CoRR, 2015)

Massively Parallel Methods for Deep Reinforcement Learning. - Arun Nair; Praveen Srinivasan; Sam Blackwell; Cagdas Alcicek; Rory Fearon; Alessandro De Maria; Vedavyas Panneershelvam; Mustafa Suleyman; Charles Beattie; Stig Petersen; Shane Legg; Volodymyr Mnih; et al. (CoRR, 2015)

Human-level control through deep reinforcement learning. - Volodymyr Mnih; Koray Kavukcuoglu; David Silver; Andrei A. Rusu; Joel Veness; Marc G. Bellemare; Alex Graves; Martin A. Riedmiller; Andreas Fidjeland; Georg Ostrovski; Stig Petersen; Charles Beattie; et al. (Nat., 2015)

Exploiting Cyclic Symmetry in Convolutional Neural Networks. - Sander Dieleman; Jeffrey De Fauw; Koray Kavukcuoglu (ICML, 2016)

Asynchronous Methods for Deep Reinforcement Learning. - Volodymyr Mnih; Adrià Puigdomènech Badia; Mehdi Mirza; Alex Graves; Timothy P. Lillicrap; Tim Harley; David Silver; Koray Kavukcuoglu (ICML, 2016)

Pixel Recurrent Neural Networks. - Aäron van den Oord; Nal Kalchbrenner; Koray Kavukcuoglu (ICML, 2016)

Interaction Networks for Learning about Objects, Relations and Physics. - Peter W. Battaglia; Razvan Pascanu; Matthew Lai; Danilo Jimenez Rezende; Koray Kavukcuoglu (NIPS, 2016)

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. - S. M. Ali Eslami; Nicolas Heess; Theophane Weber; Yuval Tassa; David Szepesvari; Koray Kavukcuoglu; Geoffrey E. Hinton (NIPS, 2016)

Conditional Image Generation with PixelCNN Decoders. - Aäron van den Oord; Nal Kalchbrenner; Lasse Espeholt; Koray Kavukcuoglu; Oriol Vinyals; Alex Graves (NIPS, 2016)

Strategic Attentive Writer for Learning Macro-Actions. - Alexander Vezhnevets; Volodymyr Mnih; Simon Osindero; Alex Graves; Oriol Vinyals; John P. Agapiou; Koray Kavukcuoglu (NIPS, 2016)

Matching Networks for One Shot Learning. - Oriol Vinyals; Charles Blundell; Tim Lillicrap; Koray Kavukcuoglu; Daan Wierstra (NIPS, 2016)

WaveNet: A Generative Model for Raw Audio. - Aäron van den Oord; Sander Dieleman; Heiga Zen; Karen Simonyan; Oriol Vinyals; Alex Graves; Nal Kalchbrenner; Andrew W. Senior; Koray Kavukcuoglu (SSW, 2016)

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. - S. M. Ali Eslami; Nicolas Heess; Theophane Weber; Yuval Tassa; Koray Kavukcuoglu; Geoffrey E. Hinton (CoRR, 2016)

Decoupled Neural Interfaces using Synthetic Gradients. - Max Jaderberg; Wojciech Marian Czarnecki; Simon Osindero; Oriol Vinyals; Alex Graves; Koray Kavukcuoglu (CoRR, 2016)

What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures? - Kevin Jarrett; Koray Kavukcuoglu; Karol Gregor; Yann LeCun (CoRR, 2016)

Neural Machine Translation in Linear Time. - Nal Kalchbrenner; Lasse Espeholt; Karen Simonyan; Aäron van den Oord; Alex Graves; Koray Kavukcuoglu (CoRR, 2016)

PGQ: Combining policy gradient and Q-learning. - Brendan O'Donoghue; Rémi Munos; Koray Kavukcuoglu; Volodymyr Mnih (CoRR, 2016)

Policy Distillation. - Andrei A. Rusu; Sergio Gomez Colmenarejo; Çaglar Gülçehre; Guillaume Desjardins; James Kirkpatrick; Razvan Pascanu; Volodymyr Mnih; Koray Kavukcuoglu; Raia Hadsell (ICLR (Poster), 2016)

Progressive Neural Networks. - Andrei A. Rusu; Neil C. Rabinowitz; Guillaume Desjardins; Hubert Soyer; James Kirkpatrick; Koray Kavukcuoglu; Razvan Pascanu; Raia Hadsell (CoRR, 2016)

Hybrid computing using a neural network with dynamic external memory. - Alex Graves; Greg Wayne; Malcolm Reynolds; Tim Harley; Ivo Danihelka; Agnieszka Grabska-Barwinska; Sergio Gomez Colmenarejo; Edward Grefenstette; Tiago Ramalho; John P. Agapiou; Adrià Puigdomènech Badia; Karl Moritz Hermann; et al. (Nat., 2016)

Mastering the game of Go with deep neural networks and tree search. - David Silver; Aja Huang; Chris J. Maddison; Arthur Guez; Laurent Sifre; George van den Driessche 002; Julian Schrittwieser; Ioannis Antonoglou; Vedavyas Panneershelvam; Marc Lanctot; Sander Dieleman; Dominik Grewe; et al. (Nat., 2016)

Sample Efficient Actor-Critic with Experience Replay. - Ziyu Wang 001; Victor Bapst; Nicolas Heess; Volodymyr Mnih; Rémi Munos; Koray Kavukcuoglu; Nando de Freitas (ICLR (Poster), 2017)

Reinforcement Learning with Unsupervised Auxiliary Tasks. - Max Jaderberg; Volodymyr Mnih; Wojciech Marian Czarnecki; Tom Schaul; Joel Z. Leibo; David Silver; Koray Kavukcuoglu (ICLR, 2017)

Learning to Navigate in Complex Environments. - Piotr Mirowski; Razvan Pascanu; Fabio Viola; Hubert Soyer; Andy Ballard; Andrea Banino; Misha Denil; Ross Goroshin; Laurent Sifre; Koray Kavukcuoglu; Dharshan Kumaran; Raia Hadsell (ICLR (Poster), 2017)

Combining policy gradient and Q-learning. - Brendan O'Donoghue; Rémi Munos; Koray Kavukcuoglu; Volodymyr Mnih (ICLR (Poster), 2017)

Understanding Synthetic Gradients and Decoupled Neural Interfaces. - Wojciech Marian Czarnecki; Grzegorz Swirszcz; Max Jaderberg; Simon Osindero; Oriol Vinyals; Koray Kavukcuoglu (ICML, 2017)

Automated Curriculum Learning for Neural Networks. - Alex Graves; Marc G. Bellemare; Jacob Menick; Rémi Munos; Koray Kavukcuoglu (ICML, 2017)

Decoupled Neural Interfaces using Synthetic Gradients. - Max Jaderberg; Wojciech Marian Czarnecki; Simon Osindero; Oriol Vinyals; Alex Graves; David Silver; Koray Kavukcuoglu (ICML, 2017)

Video Pixel Networks. - Nal Kalchbrenner; Aäron van den Oord; Karen Simonyan; Ivo Danihelka; Oriol Vinyals; Alex Graves; Koray Kavukcuoglu (ICML, 2017)

FeUdal Networks for Hierarchical Reinforcement Learning. - Alexander Sasha Vezhnevets; Simon Osindero; Tom Schaul; Nicolas Heess; Max Jaderberg; David Silver; Koray Kavukcuoglu (ICML, 2017)

Neural Discrete Representation Learning. - Aäron van den Oord; Oriol Vinyals; Koray Kavukcuoglu (NIPS, 2017)

Population Based Training of Neural Networks. - Max Jaderberg; Valentin Dalibard; Simon Osindero; Wojciech M. Czarnecki; Jeff Donahue; Ali Razavi; Oriol Vinyals; Tim Green; Iain Dunning; Karen Simonyan; Chrisantha Fernando; Koray Kavukcuoglu (CoRR, 2017)

Hierarchical Representations for Efficient Architecture Search. - Hanxiao Liu; Karen Simonyan; Oriol Vinyals; Chrisantha Fernando; Koray Kavukcuoglu (ICLR (Poster), 2018)

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. - Lasse Espeholt; Hubert Soyer; Rémi Munos; Karen Simonyan; Volodymyr Mnih; Tom Ward; Yotam Doron; Vlad Firoiu; Tim Harley; Iain Dunning; Shane Legg; Koray Kavukcuoglu (ICML, 2018)

Efficient Neural Audio Synthesis. - Nal Kalchbrenner; Erich Elsen; Karen Simonyan; Seb Noury; Norman Casagrande; Edward Lockhart; Florian Stimberg; Aäron van den Oord; Sander Dieleman; Koray Kavukcuoglu (ICML, 2018)

Parallel WaveNet: Fast High-Fidelity Speech Synthesis. - Aäron van den Oord; Yazhe Li; Igor Babuschkin; Karen Simonyan; Oriol Vinyals; Koray Kavukcuoglu; George van den Driessche 002; Edward Lockhart; Luis C. Cobo; Florian Stimberg; Norman Casagrande; Dominik Grewe; et al. (ICML, 2018)

Learning to Navigate in Cities Without a Map. - Piotr Mirowski; Matthew Koichi Grimes; Mateusz Malinowski; Karl Moritz Hermann; Keith Anderson; Denis Teplyashin; Karen Simonyan; Koray Kavukcuoglu; Andrew Zisserman; Raia Hadsell (NeurIPS, 2018)

Unsupervised Predictive Memory in a Goal-Directed Agent. - Greg Wayne; Chia-Chun Hung; David Amos; Mehdi Mirza; Arun Ahuja; Agnieszka Grabska-Barwinska; Jack W. Rae; Piotr Mirowski; Joel Z. Leibo; Adam Santoro; Mevlana Gemici; Malcolm Reynolds; et al. (CoRR, 2018)

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. - Max Jaderberg; Wojciech M. Czarnecki; Iain Dunning; Luke Marris; Guy Lever; Antonio García Castañeda; Charles Beattie; Neil C. Rabinowitz; Ari S. Morcos; Avraham Ruderman; Nicolas Sonnerat; Tim Green; et al. (CoRR, 2018)

Vector-based navigation using grid-like representations in artificial agents. - Andrea Banino; Caswell Barry; Benigno Uria; Charles Blundell; Timothy P. Lillicrap; Piotr Mirowski; Alexander Pritzel; Martin J. Chadwick; Thomas Degris; Joseph Modayil; Greg Wayne; Hubert Soyer; et al. (Nat., 2018)

The StreetLearn Environment and Dataset. - Piotr Mirowski; Andras Banki-Horvath; Keith Anderson; Denis Teplyashin; Karl Moritz Hermann; Mateusz Malinowski; Matthew Koichi Grimes; Karen Simonyan; Koray Kavukcuoglu; Andrew Zisserman; Raia Hadsell (CoRR, 2019)

Grandmaster level in StarCraft II using multi-agent reinforcement learning. - Oriol Vinyals; Igor Babuschkin; Wojciech M. Czarnecki; Michaël Mathieu; Andrew Dudzik; Junyoung Chung; David H. Choi; Richard Powell; Timo Ewalds; Petko Georgiev; Junhyuk Oh; Dan Horgan; et al. (Nat., 2019)

Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning. - Jean-Bastien Grill; Florian Strub; Florent Altché; Corentin Tallec; Pierre H. Richemond; Elena Buchatskaya; Carl Doersch; Bernardo Ávila Pires; Zhaohan Guo; Mohammad Gheshlaghi Azar; Bilal Piot; Koray Kavukcuoglu; et al. (NeurIPS, 2020)

Improved protein structure prediction using potentials from deep learning. - Andrew W. Senior; Richard Evans 001; John Jumper; James Kirkpatrick; Laurent Sifre; Tim Green; Chongli Qin; Augustin Zídek; Alexander W. R. Nelson; Alex Bridgland; Hugo Penedones; Stig Petersen; et al. (Nat., 2020)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - Jack W. Rae; Sebastian Borgeaud; Trevor Cai; Katie Millican; Jordan Hoffmann; H. Francis Song; John Aslanides; Sarah Henderson; Roman Ring; Susannah Young; Eliza Rutherford; Tom Hennigan; et al. (CoRR, 2021)

Unified Scaling Laws for Routed Language Models. - Aidan Clark; Diego de Las Casas; Aurelia Guy; Arthur Mensch; Michela Paganini; Jordan Hoffmann; Bogdan Damoc; Blake A. Hechtman; Trevor Cai; Sebastian Borgeaud; George van den Driessche 002; Eliza Rutherford; et al. (ICML, 2022)

Unified Scaling Laws for Routed Language Models. - Aidan Clark; Diego de Las Casas; Aurelia Guy; Arthur Mensch; Michela Paganini; Jordan Hoffmann; Bogdan Damoc; Blake A. Hechtman; Trevor Cai; Sebastian Borgeaud; George van den Driessche 002; Eliza Rutherford; et al. (CoRR, 2022)

Competition-Level Code Generation with AlphaCode. - Yujia Li 001; David H. Choi; Junyoung Chung; Nate Kushman; Julian Schrittwieser; Rémi Leblond; Tom Eccles; James Keeling; Felix Gimeno; Agustin Dal Lago; Thomas Hubert; Peter Choy; et al. (CoRR, 2022)

Improving alignment of dialogue agents via targeted human judgements. - Amelia Glaese; Nat McAleese; Maja Trebacz; John Aslanides; Vlad Firoiu; Timo Ewalds; Maribeth Rauh; Laura Weidinger; Martin J. Chadwick; Phoebe Thacker; Lucy Campbell-Gillingham; Jonathan Uesato; et al. (CoRR, 2022)

Magnetic control of tokamak plasmas through deep reinforcement learning. - Jonas Degrave; Federico Felici; Jonas Buchli; Michael Neunert; Brendan D. Tracey; Francesco Carpanese; Timo Ewalds; Roland Hafner; Abbas Abdolmaleki; Diego de Las Casas; Craig Donner; Leslie Fritz; et al. (Nat., 2022)

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. - Aleksandar Botev; Soham De; Samuel L. Smith; Anushan Fernando; George-Cristian Muraru; Ruba Haroun; Leonard Berrada; Razvan Pascanu; Pier Giuseppe Sessa; Robert Dadashi; Léonard Hussenot; Johan Ferret; et al. (CoRR, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)