Oriol Vinyals - RankMe

219 papers A* 42A 13B 3C 2Misc 10Journal 114Unranked 34

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Practitioner's Guide to Continual Multimodal Pretraining. CoRR Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Matthias Bethge, Zeynep Akata
2024	A*	`conf`	A Practitioner's Guide to Real-World Continual Multimodal Pretraining. NeurIPS Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge
2024	J	`jnl`	Capabilities of Gemini Models in Medicine. CoRR Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
2024	A*	`conf`	Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. ICLR Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
2023	J	`jnl`	AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals
2023	J	`jnl`	Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. CoRR Karsten Roth, Lukas Thede, Almut Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
2023	J	`jnl`	Faster sorting algorithms discovered using deep reinforcement learning. Nat. Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, A. Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin A. Riedmiller, Oriol Vinyals, David Silver
2023	J	`jnl`	Optimizing Memory Mapping Using Deep Reinforcement Learning. CoRR Pengming Wang, Mikita Sazanovich, Berkin Ilbeyi, Phitchaya Mangpo Phothilimthana, Manish Purohit, Han Yang Tay, Ngân Vu, Miaosen Wang, Cosmin Paduraru, Edouard Leurent, Anton Zhernov, Julian Schrittwieser, Thomas Hubert, Robert Tung, Paula Kurylowicz, Kieran Milan, Oriol Vinyals, Daniel J. Mankowitz
2023	A*	`conf`	Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. ICCV Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata
2023	J	`jnl`	Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. CoRR Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata
2022	J	`jnl`	A Generalist Agent. CoRR Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas
2022	J	`jnl`	A Generalist Agent. Trans. Mach. Learn. Res. Scott E. Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas
2022	A*	`conf`	An empirical analysis of compute-optimal large language model training. NeurIPS Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack W. Rae, Laurent Sifre
2022	J	`jnl`	Competition-Level Code Generation with AlphaCode. CoRR Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals
2022	J	`jnl`	Deep Audio-Visual Speech Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Triantafyllos Afouras, Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman
2022	J	`jnl`	Emergent Abilities of Large Language Models. CoRR Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus
2022	J	`jnl`	Emergent Abilities of Large Language Models. Trans. Mach. Learn. Res. Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus
2022	A*	`conf`	Flamingo: a Visual Language Model for Few-Shot Learning. NeurIPS Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L. Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan
2022	J	`jnl`	Flamingo: a Visual Language Model for Few-Shot Learning. CoRR Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan
2022	A*	`conf`	General-purpose, long-context autoregressive modeling with Perceiver AR. ICML Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
2022	J	`jnl`	General-purpose, long-context autoregressive modeling with Perceiver AR. CoRR Curtis Hawthorne, Andrew Jaegle, Catalina Cangea, Sebastian Borgeaud, Charlie Nash, Mateusz Malinowski, Sander Dieleman, Oriol Vinyals, Matthew M. Botvinick, Ian Simon, Hannah Sheahan, Neil Zeghidour, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel
2022	J	`jnl`	GraphCast: Learning skillful medium-range global weather forecasting. CoRR Rémi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman V. Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter W. Battaglia
2022	J	`jnl`	Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori
2022	J	`jnl`	Hierarchical Perceiver. CoRR João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle
2022	A*	`conf`	Improving Language Models by Retrieving from Trillions of Tokens. ICML Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre
2022	A*	`conf`	Integrating Language Guidance into Vision-based Deep Metric Learning. CVPR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	J	`jnl`	Integrating Language Guidance into Vision-based Deep Metric Learning. CoRR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	J	`jnl`	MuZero with Self-competition for Rate Control in VP9 Video Compression. CoRR Amol Mandhane, Anton Zhernov, Maribeth Rauh, Chenjie Gu, Miaosen Wang, Flora Xue, Wendy Shang, Derek Pang, Rene Claus, Ching-Han Chiang, Cheng Chen, Jingning Han, Angie Chen, Daniel J. Mankowitz, Jackson Broshear, Julian Schrittwieser, Thomas Hubert, Oriol Vinyals, Timothy A. Mann
2022	A*	`conf`	Non-isotropy Regularization for Proxy-based Deep Metric Learning. CVPR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	J	`jnl`	Non-isotropy Regularization for Proxy-based Deep Metric Learning. CoRR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	A*	`conf`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. ICLR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2022	J	`jnl`	Training Compute-Optimal Large Language Models. CoRR Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals, Laurent Sifre
2022	A*	`conf`	Unified Scaling Laws for Routed Language Models. ICML 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, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Marc'Aurelio Ranzato, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan
2022	J	`jnl`	Unified Scaling Laws for Routed Language Models. CoRR 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, Eliza Rutherford, Tom Hennigan, Matthew J. Johnson, Katie Millican, Albin Cassirer, Chris Jones, Elena Buchatskaya, David Budden, Laurent Sifre, Simon Osindero, Oriol Vinyals, Jack W. Rae, Erich Elsen, Koray Kavukcuoglu, Karen Simonyan
2021	A*	`conf`	Efficient Visual Pretraining with Contrastive Detection. ICCV Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
2021	J	`jnl`	Efficient Visual Pretraining with Contrastive Detection. CoRR Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira
2021	J	`jnl`	Improving language models by retrieving from trillions of tokens. CoRR Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, Diego de Las Casas, Aurelia Guy, Jacob Menick, Roman Ring, Tom Hennigan, Saffron Huang, Loren Maggiore, Chris Jones, Albin Cassirer, Andy Brock, Michela Paganini, Geoffrey Irving, Oriol Vinyals, Simon Osindero, Karen Simonyan, Jack W. Rae, Erich Elsen, Laurent Sifre
2021	—	`conf`	Machine Translation Decoding beyond Beam Search. EMNLP (1) Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
2021	J	`jnl`	Machine Translation Decoding beyond Beam Search. CoRR Rémi Leblond, Jean-Baptiste Alayrac, Laurent Sifre, Miruna Pislar, Jean-Baptiste Lespiau, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals
2021	A*	`conf`	Multimodal Few-Shot Learning with Frozen Language Models. NeurIPS Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill
2021	J	`jnl`	Multimodal Few-Shot Learning with Frozen Language Models. CoRR Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill
2021	J	`jnl`	Perceiver IO: A General Architecture for Structured Inputs & Outputs. CoRR Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira
2021	A*	`conf`	Perceiver: General Perception with Iterative Attention. ICML Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, João Carreira
2021	J	`jnl`	Perceiver: General Perception with Iterative Attention. CoRR Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, João Carreira
2021	J	`jnl`	Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR 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, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
2021	J	`jnl`	The Benchmark Lottery. CoRR Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals
2021	J	`jnl`	The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada P. Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals
2021	J	`jnl`	Understanding deep learning (still) requires rethinking generalization. Commun. ACM Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
2021	A*	`conf`	Vector Quantized Models for Planning. ICML Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals
2021	J	`jnl`	Vector Quantized Models for Planning. CoRR Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals
2021	J	`jnl`	WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset. CoRR Luyu Wang, Yujia Li, Özlem Aslan, Oriol Vinyals
2020	J	`jnl`	AlignNet: Unsupervised Entity Alignment. CoRR Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan
2020	A*	`conf`	Pointer Graph Networks. NeurIPS Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
2020	J	`jnl`	Pointer Graph Networks. CoRR Petar Velickovic, Lars Buesing, Matthew C. Overlan, Razvan Pascanu, Oriol Vinyals, Charles Blundell
2020	A*	`conf`	Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. ICLR Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals
2020	A*	`conf`	Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs. ICLR Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
2020	J	`jnl`	Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning. CoRR Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Keisuke Nakata, Oriol Vinyals, Noboru Sean Kuno
2020	J	`jnl`	Solving Mixed Integer Programs Using Neural Networks. CoRR Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols
2020	J	`jnl`	Strong Generalization and Efficiency in Neural Programs. CoRR Yujia Li, Felix Gimeno, Pushmeet Kohli, Oriol Vinyals
2019	—	`conf`	Attentive Neural Processes. ICLR (Poster) Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
2019	J	`jnl`	Attentive Neural Processes. CoRR Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
2019	A*	`conf`	Classification Accuracy Score for Conditional Generative Models. NeurIPS Suman V. Ravuri, Oriol Vinyals
2019	J	`jnl`	Classification Accuracy Score for Conditional Generative Models. CoRR Suman V. Ravuri, Oriol Vinyals
2019	—	`conf`	Deep reinforcement learning with relational inductive biases. ICLR (Poster) Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia
2019	A*	`conf`	Generating Diverse High-Fidelity Images with VQ-VAE-2. NeurIPS Ali Razavi, Aäron van den Oord, Oriol Vinyals
2019	J	`jnl`	Generating Diverse High-Fidelity Images with VQ-VAE-2. CoRR Ali Razavi, Aäron van den Oord, Oriol Vinyals
2019	—	`conf`	Generating Diverse High-Resolution Images with VQ-VAE. DGS@ICLR Ali Razavi, Aäron van den Oord, Oriol Vinyals
2019	J	`jnl`	Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. 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, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver
2019	A*	`conf`	Graph Matching Networks for Learning the Similarity of Graph Structured Objects. ICML Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli
2019	J	`jnl`	Graph Matching Networks for Learning the Similarity of Graph Structured Objects. CoRR Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli
2019	J	`jnl`	Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder. CoRR Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters
2019	Misc	`conf`	Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder. ICASSP Cristina Gârbacea, Aäron van den Oord, Yazhe Li, Felicia S. C. Lim, Alejandro Luebs, Oriol Vinyals, Thomas C. Walters
2019	—	`conf`	Meta-Learning with Latent Embedding Optimization. ICLR (Poster) Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
2019	—	`conf`	Preventing Posterior Collapse with delta-VAEs. ICLR (Poster) Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals
2019	J	`jnl`	Preventing Posterior Collapse with delta-VAEs. CoRR Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals
2019	J	`jnl`	REGAL: Transfer Learning For Fast Optimization of Computation Graphs. CoRR Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals
2019	J	`jnl`	Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. CoRR Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals
2019	—	`conf`	Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning. NeurIPS (Competition and Demos) Stephanie Milani, Nicholay Topin, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Keisuke Nakata, Oriol Vinyals, Noboru Sean Kuno
2019	—	`conf`	Sample Efficient Adaptive Text-to-Speech. ICLR (Poster) Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas
2019	—	`conf`	Universal Transformers. ICLR (Poster) Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser
2019	J	`jnl`	Unsupervised Doodling and Painting with Improved SPIRAL. CoRR John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami
2018	J	`jnl`	A Study on Overfitting in Deep Reinforcement Learning. CoRR Chiyuan Zhang, Oriol Vinyals, Rémi Munos, Samy Bengio
2018	J	`jnl`	Deep Audio-Visual Speech Recognition. CoRR Triantafyllos Afouras, Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman
2018	—	`conf`	Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. ICLR (Poster) Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo J. Rezende, Oriol Vinyals, Nando de Freitas
2018	J	`jnl`	Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning. CoRR Aishwarya Agrawal, Mateusz Malinowski, Felix Hill, S. M. Ali Eslami, Oriol Vinyals, Tejas Kulkarni
2018	—	`conf`	Hierarchical Representations for Efficient Architecture Search. ICLR (Poster) Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu
2018	J	`jnl`	Learning Deep Generative Models of Graphs. CoRR Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter W. Battaglia
2018	A	`conf`	Learning Fast Optimizers for Contextual Stochastic Integer Programs. UAI Vinod Nair, Dj Dvijotham, Iain Dunning, Oriol Vinyals
2018	A*	`conf`	Learning Implicit Generative Models with the Method of Learned Moments. ICML Suman V. Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals
2018	J	`jnl`	Learning Implicit Generative Models with the Method of Learned Moments. CoRR Suman V. Ravuri, Shakir Mohamed, Mihaela Rosca, Oriol Vinyals
2018	A*	`conf`	Learning to Search with MCTSnets. ICML Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver
2018	J	`jnl`	Learning to Search with MCTSnets. CoRR Arthur Guez, Théophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rémi Munos, David Silver
2018	—	`conf`	Memory-based Parameter Adaptation. ICLR (Poster) Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
2018	J	`jnl`	Memory-based Parameter Adaptation. CoRR Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
2018	J	`jnl`	Meta-Learning with Latent Embedding Optimization. CoRR Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
2018	A*	`conf`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. ICML Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis
2018	J	`jnl`	Relational Deep Reinforcement Learning. CoRR Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia
2018	J	`jnl`	Relational inductive biases, deep learning, and graph networks. CoRR Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu
2018	A*	`conf`	Relational recurrent neural networks. NeurIPS Adam Santoro, Ryan Faulkner, David Raposo, Jack W. Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy P. Lillicrap
2018	J	`jnl`	Relational recurrent neural networks. CoRR Adam Santoro, Ryan Faulkner, David Raposo, Jack W. Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy P. Lillicrap
2018	J	`jnl`	Representation Learning with Contrastive Predictive Coding. CoRR Aäron van den Oord, Yazhe Li, Oriol Vinyals
2018	J	`jnl`	Sample Efficient Adaptive Text-to-Speech. CoRR Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, Nando de Freitas
2018	A*	`conf`	Synthesizing Programs for Images using Reinforced Adversarial Learning. ICML Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals
2018	J	`jnl`	Synthesizing Programs for Images using Reinforced Adversarial Learning. CoRR Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals
2018	Misc	`conf`	Temporal Modeling Using Dilated Convolution and Gating for Voice-Activity-Detection. ICASSP Shuo-Yiin Chang, Bo Li, Gabor Simko, Tara N. Sainath, Anshuman Tripathi, Aäron van den Oord, Oriol Vinyals
2018	J	`jnl`	Universal Transformers. CoRR Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser
2017	J	`jnl`	Adversarial Evaluation of Dialogue Models. CoRR Anjuli Kannan, Oriol Vinyals
2017	J	`jnl`	Bayesian Recurrent Neural Networks. CoRR Meire Fortunato, Charles Blundell, Oriol Vinyals
2017	A*	`conf`	Decoupled Neural Interfaces using Synthetic Gradients. ICML Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu
2017	J	`jnl`	Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions. CoRR Scott E. Reed, Yutian Chen, Thomas Paine, Aäron van den Oord, S. M. Ali Eslami, Danilo Jimenez Rezende, Oriol Vinyals, Nando de Freitas
2017	J	`jnl`	Hierarchical Representations for Efficient Architecture Search. CoRR Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu
2017	—	`conf`	Imagination-Augmented Agents for Deep Reinforcement Learning. NIPS Sébastien Racanière, Theophane Weber, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter W. Battaglia, Demis Hassabis, David Silver, Daan Wierstra
2017	J	`jnl`	Imagination-Augmented Agents for Deep Reinforcement Learning. CoRR Theophane Weber, Sébastien Racanière, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter W. Battaglia, David Silver, Daan Wierstra
2017	J	`jnl`	Learning model-based planning from scratch. CoRR Razvan Pascanu, Yujia Li, Oriol Vinyals, Nicolas Heess, Lars Buesing, Sébastien Racanière, David P. Reichert, Theophane Weber, Daan Wierstra, Peter W. Battaglia
2017	A*	`conf`	Lip Reading Sentences in the Wild. CVPR Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman
2017	—	`conf`	Metacontrol for Adaptive Imagination-Based Optimization. ICLR (Poster) Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia
2017	J	`jnl`	Metacontrol for Adaptive Imagination-Based Optimization. CoRR Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia
2017	—	`conf`	Neural Discrete Representation Learning. NIPS Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
2017	J	`jnl`	Neural Discrete Representation Learning. CoRR Aäron van den Oord, Oriol Vinyals, Koray Kavukcuoglu
2017	A*	`conf`	Neural Episodic Control. ICML Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell
2017	J	`jnl`	Neural Episodic Control. CoRR Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell
2017	A*	`conf`	Neural Message Passing for Quantum Chemistry. ICML Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl
2017	J	`jnl`	Neural Message Passing for Quantum Chemistry. CoRR Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl
2017	J	`jnl`	Parallel WaveNet: Fast High-Fidelity Speech Synthesis. CoRR Aäron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis
2017	J	`jnl`	Population Based Training of Neural Networks. CoRR 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
2017	J	`jnl`	Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge. IEEE Trans. Pattern Anal. Mach. Intell. Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
2017	J	`jnl`	StarCraft II: A New Challenge for Reinforcement Learning. CoRR Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John P. Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy P. Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing
2017	A*	`conf`	Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
2017	J	`jnl`	Understanding Synthetic Gradients and Decoupled Neural Interfaces. CoRR Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
2017	—	`conf`	Understanding deep learning requires rethinking generalization. ICLR Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
2017	A*	`conf`	Video Pixel Networks. ICML Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	—	`conf`	An Online Sequence-to-Sequence Model Using Partial Conditioning. NIPS Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, David Sussillo, Samy Bengio
2016	—	`conf`	Conditional Image Generation with PixelCNN Decoders. NIPS Aäron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves
2016	J	`jnl`	Conditional Image Generation with PixelCNN Decoders. CoRR Aäron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu
2016	J	`jnl`	Connecting Generative Adversarial Networks and Actor-Critic Methods. CoRR David Pfau, Oriol Vinyals
2016	J	`jnl`	Contextual LSTM (CLSTM) models for Large scale NLP tasks. CoRR Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, Larry P. Heck
2016	J	`jnl`	Decoupled Neural Interfaces using Synthetic Gradients. CoRR Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	J	`jnl`	Exploring the Limits of Language Modeling. CoRR Rafal Józefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, Yonghui Wu
2016	B	`conf`	Generating Sentences from a Continuous Space. CoNLL Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Józefowicz, Samy Bengio
2016	J	`jnl`	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. CoRR Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean
2016	J	`jnl`	Lip Reading Sentences in the Wild. CoRR Joon Son Chung, Andrew W. Senior, Oriol Vinyals, Andrew Zisserman
2016	Misc	`conf`	Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. ICASSP William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
2016	—	`conf`	Matching Networks for One Shot Learning. NIPS Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, Daan Wierstra
2016	J	`jnl`	Matching Networks for One Shot Learning. CoRR Oriol Vinyals, Charles Blundell, Timothy P. Lillicrap, Koray Kavukcuoglu, Daan Wierstra
2016	A*	`conf`	Multi-task Sequence to Sequence Learning. ICLR (Poster) Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser
2016	—	`conf`	Multilingual Language Processing From Bytes. HLT-NAACL Dan Gillick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya
2016	A*	`conf`	Order Matters: Sequence to sequence for sets. ICLR (Poster) Oriol Vinyals, Samy Bengio, Manjunath Kudlur
2016	J	`jnl`	Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. CoRR Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
2016	—	`conf`	Strategic Attentive Writer for Learning Macro-Actions. NIPS Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero, Alex Graves, Oriol Vinyals, John P. Agapiou, Koray Kavukcuoglu
2016	J	`jnl`	Strategic Attentive Writer for Learning Macro-Actions. CoRR Alexander Vezhnevets, Volodymyr Mnih, John P. Agapiou, Simon Osindero, Alex Graves, Oriol Vinyals, Koray Kavukcuoglu
2016	J	`jnl`	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2016	J	`jnl`	Understanding deep learning requires rethinking generalization. CoRR Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
2016	J	`jnl`	Video Pixel Networks. CoRR Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	—	`conf`	WaveNet: A Generative Model for Raw Audio. SSW Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2016	J	`jnl`	WaveNet: A Generative Model for Raw Audio. CoRR Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, Koray Kavukcuoglu
2015	J	`jnl`	A Neural Conversational Model. CoRR Oriol Vinyals, Quoc V. Le
2015	—	`conf`	Addressing the Rare Word Problem in Neural Machine Translation. ACL (1) Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba
2015	J	`jnl`	An Online Sequence-to-Sequence Model Using Partial Conditioning. CoRR Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, Samy Bengio
2015	J	`jnl`	Beyond Short Snippets: Deep Networks for Video Classification. CoRR Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici
2015	A*	`conf`	Beyond short snippets: Deep networks for video classification. CVPR Joe Yue-Hei Ng, Matthew J. Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici
2015	Misc	`conf`	Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks. ICASSP Tara N. Sainath, Oriol Vinyals, Andrew W. Senior, Hasim Sak
2015	J	`jnl`	Distilling the Knowledge in a Neural Network. CoRR Geoffrey E. Hinton, Oriol Vinyals, Jeffrey Dean
2015	J	`jnl`	Generating Sentences from a Continuous Space. CoRR Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Józefowicz, Samy Bengio
2015	—	`conf`	Grammar as a Foreign Language. NIPS Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey E. Hinton
2015	A	`conf`	Learning the speech front-end with raw waveform CLDNNs. INTERSPEECH Tara N. Sainath, Ron J. Weiss, Andrew W. Senior, Kevin W. Wilson, Oriol Vinyals
2015	J	`jnl`	Listen, Attend and Spell. CoRR William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
2015	J	`jnl`	Multilingual Language Processing From Bytes. CoRR Dan Gillick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya
2015	—	`conf`	Pointer Networks. NIPS Oriol Vinyals, Meire Fortunato, Navdeep Jaitly
2015	J	`jnl`	Pointer Networks. CoRR Oriol Vinyals, Meire Fortunato, Navdeep Jaitly
2015	—	`conf`	Qualitatively characterizing neural network optimization problems. ICLR Ian J. Goodfellow, Oriol Vinyals
2015	—	`conf`	Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. NIPS Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer
2015	J	`jnl`	Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. CoRR Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer
2015	A*	`conf`	Sentence Compression by Deletion with LSTMs. EMNLP Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, Lukasz Kaiser, Oriol Vinyals
2015	A*	`conf`	Show and tell: A neural image caption generator. CVPR Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
2015	J	`jnl`	Towards Principled Unsupervised Learning. CoRR Ilya Sutskever, Rafal Józefowicz, Karol Gregor, Danilo Jimenez Rezende, Timothy P. Lillicrap, Oriol Vinyals
2014	J	`jnl`	Addressing the Rare Word Problem in Neural Machine Translation. CoRR Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba
2014	Misc	`conf`	Chasing the metric: Smoothing learning algorithms for keyword detection. ICASSP Oriol Vinyals, Steven Wegmann
2014	A*	`conf`	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. ICML Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
2014	J	`jnl`	Grammar as a Foreign Language. CoRR Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey E. Hinton
2014	J	`jnl`	Recurrent Neural Network Regularization. CoRR Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals
2014	A	`conf`	Sequence discriminative distributed training of long short-term memory recurrent neural networks. INTERSPEECH Hasim Sak, Oriol Vinyals, Georg Heigold, Andrew W. Senior, Erik McDermott, Rajat Monga, Mark Z. Mao
2014	—	`conf`	Sequence to Sequence Learning with Neural Networks. NIPS Ilya Sutskever, Oriol Vinyals, Quoc V. Le
2014	J	`jnl`	Sequence to Sequence Learning with Neural Networks. CoRR Ilya Sutskever, Oriol Vinyals, Quoc V. Le
2014	J	`jnl`	Show and Tell: A Neural Image Caption Generator. CoRR Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
2013	—	`—`	Beyond Deep Learning: Scalable Methods and Models for Learning. Oriol Vinyals
2013	J	`jnl`	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. CoRR Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell
2013	A	`conf`	Deep vs. wide: depth on a budget for robust speech recognition. INTERSPEECH Oriol Vinyals, Nelson Morgan
2013	—	`conf`	On Compact Codes for Spatially Pooled Features. ICML (3) Yangqing Jia, Oriol Vinyals, Trevor Darrell
2013	J	`jnl`	Pooling-Invariant Image Feature Learning CoRR Yangqing Jia, Oriol Vinyals, Trevor Darrell
2013	—	`conf`	Why Size Matters: Feature Coding as Nystrom Sampling ICLR (Workshop) Oriol Vinyals, Yangqing Jia, Trevor Darrell
2012	A	`conf`	Are Sparse Representations Rich Enough for Acoustic Modeling? INTERSPEECH Oriol Vinyals, Li Deng
2012	B	`conf`	Feature learning using Generalized Extreme Value distribution based K-means clustering. ICPR Zeyu Li, Oriol Vinyals, Harlyn Baker, Ruzena Bajcsy
2012	A	`conf`	Krylov Subspace Descent for Deep Learning. AISTATS Oriol Vinyals, Daniel Povey
2012	B	`conf`	Learning speaker, addressee and overlap detection models from multimodal streams. ICMI Oriol Vinyals, Dan Bohus, Rich Caruana
2012	—	`conf`	Learning with Recursive Perceptual Representations. NIPS Oriol Vinyals, Yangqing Jia, Li Deng, Trevor Darrell
2012	A	`conf`	Recurrent Neural Networks for Noise Reduction in Robust ASR. INTERSPEECH Andrew L. Maas, Quoc V. Le, Tyler M. O'Neil, Oriol Vinyals, Patrick Nguyen, Andrew Y. Ng
2012	Misc	`conf`	Revisiting Recurrent Neural Networks for robust ASR. ICASSP Oriol Vinyals, Suman V. Ravuri, Daniel Povey
2012	J	`jnl`	Speaker Diarization: A Review of Recent Research. IEEE Trans. Speech Audio Process. Xavier Anguera Miró, Simon Bozonnet, Nicholas W. D. Evans, Corinne Fredouille, Gerald Friedland, Oriol Vinyals
2012	J	`jnl`	The ICSI RT-09 Speaker Diarization System. IEEE Trans. Speech Audio Process. Gerald Friedland, Adam Janin, David Imseng, Xavier Anguera Miró, Luke R. Gottlieb, Marijn Huijbregts, Mary Tai Knox, Oriol Vinyals
2011	Misc	`conf`	Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR. ICASSP Oriol Vinyals, Suman V. Ravuri
2011	A	`conf`	Improved Overlapped Speech Handling for Speaker Diarization. INTERSPEECH Kofi Boakye, Oriol Vinyals, Gerald Friedland
2010	A	`conf`	A hybrid approach to online speaker diarization. INTERSPEECH Carlos Vaquero, Oriol Vinyals, Gerald Friedland
2010	A	`conf`	Discriminative training for hierarchical clustering in speaker diarization. INTERSPEECH Oriol Vinyals, Gerald Friedland, Nelson Morgan
2010	—	`conf`	Multimodal Indoor Localization: An Audio-Wireless-Based Approach. ICSC Oriol Vinyals, Eladio Martin, Gerald Friedland
2010	A*	`conf`	Multimodal location estimation. ACM Multimedia Gerald Friedland, Oriol Vinyals, Trevor Darrell
2010	A*	`conf`	Precise indoor localization using smart phones. ACM Multimedia Eladio Martin, Oriol Vinyals, Gerald Friedland, Ruzena Bajcsy
2010	A	`conf`	System output combination for improved speaker diarization. INTERSPEECH Simon Bozonnet, Nicholas W. D. Evans, Xavier Anguera, Oriol Vinyals, Gerald Friedland, Corinne Fredouille
2009	Misc	`conf`	Discriminative pronounciation learning using phonetic decoder and minimum-classification-error criterion. ICASSP Oriol Vinyals, Li Deng, Dong Yu, Alex Acero
2009	Misc	`conf`	Fusing short term and long term features for improved speaker diarization. ICASSP Gerald Friedland, Oriol Vinyals, Yan Huang, Christian A. Müller
2009	J	`jnl`	Prosodic and other Long-Term Features for Speaker Diarization. IEEE Trans. Speech Audio Process. Gerald Friedland, Oriol Vinyals, Yan Huang, Christian A. Müller
2008	C	`conf`	A Hardware-Independent Fast Logarithm Approximation with Adjustable Accuracy. ISM Oriol Vinyals, Gerald Friedland
2008	A*	`conf`	Live speaker identification in conversations. ACM Multimedia Gerald Friedland, Oriol Vinyals
2008	A	`conf`	Modulation spectrogram features for improved speaker diarization. INTERSPEECH Oriol Vinyals, Gerald Friedland
2008	Misc	`conf`	Overlapped speech detection for improved speaker diarization in multiparty meetings. ICASSP Kofi Boakye, B. Trueba-Hornero, Oriol Vinyals, Gerald Friedland
2008	—	`conf`	Towards Semantic Analysis of Conversations: A System for the Live Identification of Speakers in Meetings. ICSC Oriol Vinyals, Gerald Friedland
2008	A	`conf`	Two's a crowd: improving speaker diarization by automatically identifying and excluding overlapped speech. INTERSPEECH Kofi Boakye, Oriol Vinyals, Gerald Friedland
2007	C	`conf`	A fast-match approach for robust, faster than real-time speaker diarization. ASRU Yan Huang, Oriol Vinyals, Gerald Friedland, Christian A. Müller, Nikki Mirghafori, Chuck Wooters
2007	A*	`conf`	Learning Kernel Expansions for Image Classification. CVPR Fernando De la Torre, Oriol Vinyals
2007	—	`conf`	Parameterized kernels for support vector machine classification. VISAPP (2) Fernando De la Torre, Oriol Vinyals