Nenad Tomasev
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
9
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Discovering Symbolic Cognitive Models from Human and Animal Behavior. | Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Nomi lteto, Will Dabney, Alexander Novikov, Glenn C. Turner, Maria K. Eckstein, Nathaniel D. Daw, Kevin J. Miller, Kim Stachenfeld |
| 2025 | ICML | Mastering Board Games by External and Internal Planning with Language Models. | John Schultz, Jakub Admek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev |
| 2023 | ICLR | SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. | Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic |
| 2021 | AIES | Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. | Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed |
| 2015 | SDM | Taming the Empirical Hubness Risk in Many Dimensions. | Nenad Tomasev |
| 2014 | ECIR | A Case for Hubness Removal in High-Dimensional Multimedia Retrieval. | Dominik Schnitzer, Arthur Flexer, Nenad Tomasev |
| 2014 | ICDM | Boosting for Vote Learning in High-Dimensional kNN Classification. | Nenad Tomasev |
| 2013 | PAKDD | The Role of Hubs in Cross-Lingual Supervised Document Retrieval. | Nenad Tomasev, Jan Rupnik, Dunja Mladenic |
| 2012 | HAIS | Hubness-Aware Shared Neighbor Distances for High-Dimensional k-Nearest Neighbor Classification. | Nenad Tomasev, Dunja Mladenic |
| 2011 | CIKM | A probabilistic approach to nearest-neighbor classification: naive hubness bayesian kNN. | Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic |
| 2011 | ICDM | Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences. | Nenad Tomasev, Dunja Mladenic |
| 2011 | PAKDD | The Role of Hubness in Clustering High-Dimensional Data. | Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic |