David Ding - RankMe

15 papers A* 2A 1Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Know your audience: specializing grounded language models with listener subtraction. EACL Aaditya K. Singh, David Ding, Andrew M. Saxe, Felix Hill, Andrew K. Lampinen
2023	—	`conf`	Using Learned Indexes to Improve Time Series Indexing Performance on Embedded Sensor Devices. SENSORNETS David Ding, Ivan Carvalho, Ramon Lawrence
2023	J	`jnl`	Using Learned Indexes to Improve Time Series Indexing Performance on Embedded Sensor Devices. CoRR David Ding, Ivan Carvalho, Ramon Lawrence
2022	J	`jnl`	Know your audience: specializing grounded language models with the game of Dixit. CoRR Aaditya K. Singh, David Ding, Andrew M. Saxe, Felix Hill, Andrew K. Lampinen
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
2021	A*	`conf`	Attention over Learned Object Embeddings Enables Complex Visual Reasoning. NeurIPS David Ding, Felix Hill, Adam Santoro, Malcolm Reynolds, Matt M. Botvinick
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
2020	J	`jnl`	Evaluation of Durability of Transparent Graphene Electrodes Fabricated on Different Flexible Substrates for Chronic In Vivo Experiments. IEEE Trans. Biomed. Eng. David Ding, Yichen Lu, Ruoyu Zhao, Xin Liu, Chawina De-Eknamkul, Chi Ren, Armaghan Mehrsa, Takaki Komiyama, Duygu Kuzum
2020	J	`jnl`	Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures. CoRR David Ding, Felix Hill, Adam Santoro, Matt M. Botvinick
2019	J	`jnl`	Adapting Behaviour for Learning Progress. CoRR Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero
2019	—	`conf`	Decoding ECoG High Gamma Power from Cellular Calcium Response using Transparent Graphene Microelectrodes. NER Xin Liu, Chi Ren, Yichen Lu, Ryoma Hattori, Yuhan Shi, Ruoyu Zhao, David Ding, Takaki Komiyama, Duygu Kuzum
2019	J	`jnl`	OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinícius Flores Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas W. Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis
2017	—	`conf`	Deep Lattice Networks and Partial Monotonic Functions. NIPS Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta
2017	J	`jnl`	Deep Lattice Networks and Partial Monotonic Functions. CoRR Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta
2017	—	`conf`	Fostering Digital Innovation through Inter-Organizational Collaboration between Incumbent Firms and Start-UPS. ECIS Nihal Islam, Peter Buxmann, David Ding