Yujia Li - RankMe

43 papers A* 11A 1Misc 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
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`	Solving MaxSAT with Matrix Multiplication. CoRR David Warde-Farley, Vinod Nair, Yujia Li, Ivan Lobov, Felix Gimeno, Simon Osindero
2023	A*	`conf`	Transformers Meet Directed Graphs. ICML Simon Geisler, Yujia Li, Daniel J. Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru
2023	J	`jnl`	Transformers Meet Directed Graphs. CoRR Simon Geisler, Yujia Li, Daniel J. Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru
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
2021	A	`conf`	ETA Prediction with Graph Neural Networks in Google Maps. CIKM Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
2021	J	`jnl`	ETA Prediction with Graph Neural Networks in Google Maps. CoRR Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic
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`	WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset. CoRR Luyu Wang, Yujia Li, Özlem Aslan, 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`	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	A*	`conf`	CompILE: Compositional Imitation Learning and Execution. ICML Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia
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`	Efficient Graph Generation with Graph Recurrent Attention Networks. NeurIPS Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
2019	J	`jnl`	Efficient Graph Generation with Graph Recurrent Attention Networks. CoRR Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel
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	A*	`conf`	Learning Transferable Graph Exploration. NeurIPS Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli
2019	J	`jnl`	Learning Transferable Graph Exploration. CoRR Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli
2019	J	`jnl`	Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving. CoRR Xujie Si, Yujia Li, Vinod Nair, Felix Gimeno
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
2018	J	`jnl`	Compositional Imitation Learning: Explaining and executing one task at a time. CoRR Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia
2018	J	`jnl`	Learning Deep Generative Models of Graphs. CoRR Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter W. Battaglia
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
2017	—	`—`	Building More Expressive Structured Models. Yujia Li
2017	—	`conf`	Dualing GANs. NIPS Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel
2017	J	`jnl`	Dualing GANs. CoRR Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel
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	J	`jnl`	Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. CoRR Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel
2016	A*	`conf`	Gated Graph Sequence Neural Networks. ICLR (Poster) Yujia Li, Daniel Tarlow, Marc Brockschmidt, Richard S. Zemel
2016	A*	`conf`	The Variational Fair Autoencoder. ICLR Christos Louizos, Kevin Swersky, Yujia Li, Max Welling, Richard S. Zemel
2016	—	`conf`	Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. NIPS Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel
2015	Misc	`conf`	Feedback-based handwriting recognition from inertial sensor data for wearable devices. ICASSP Yujia Li, Kaisheng Yao, Geoffrey Zweig
2015	A*	`conf`	Generative Moment Matching Networks. ICML Yujia Li, Kevin Swersky, Richard S. Zemel
2015	J	`jnl`	Generative Moment Matching Networks. CoRR Yujia Li, Kevin Swersky, Richard S. Zemel
2014	A*	`conf`	High Order Regularization for Semi-Supervised Learning of Structured Output Problems. ICML Yujia Li, Richard S. Zemel
2014	J	`jnl`	Learning unbiased features. CoRR Yujia Li, Kevin Swersky, Richard S. Zemel
2014	J	`jnl`	Mean-Field Networks. CoRR Yujia Li, Richard S. Zemel
2013	A*	`conf`	Exploring Compositional High Order Pattern Potentials for Structured Output Learning. CVPR Yujia Li, Daniel Tarlow, Richard S. Zemel