| The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers R Csordás, K Irie, J Schmidhuber EMNLP 2021, 2021 | 54 | 2021 |
| Going Beyond Linear Transformers with Recurrent Fast Weight Programmers K Irie, I Schlag, R Csordás, J Schmidhuber Conference on Neural Information Processing Systems (NeurIPS), 2021, 2021 | 38 | 2021 |
| Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks R Csordás, S van Steenkiste, J Schmidhuber International Conference on Learning Representations (ICLR), 2021 | 37 | 2021 |
| Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control R Csordás, J Schmidhuber International Conference on Learning Representations (ICLR), 2019 | 30 | 2019 |
| Method and apparatus for generating a displacement map of an input dataset pair R Csordás, Á Kis-Benedek, B Szalkai US Patent 10,380,753, 2019 | 19 | 2019 |
| A Modern Self-Referential Weight Matrix That Learns to Modify Itself K Irie, I Schlag, R Csordás, J Schmidhuber Deep RL Workshop NeurIPS 2021, 2021 | 15 | 2021 |
| The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization R Csordás, K Irie, J Schmidhuber International Conference on Learning Representations (ICLR), 2021 | 11 | 2021 |
| The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention K Irie*, R Csordás*, J Schmidhuber International Conference on Machine Learning 2022 (ICML), 2022 | 7 | 2022 |
| A generalist neural algorithmic learner B Ibarz, V Kurin, G Papamakarios, K Nikiforou, M Bennani, R Csordás, ... Learning on Graphs Conference, 2: 1-2: 23, 2022 | 3 | 2022 |
| Improving Baselines in the Wild K Irie, I Schlag, R Csordás, J Schmidhuber NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021 | 1 | 2021 |
| CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations R Csordás, K Irie, J Schmidhuber EMNLP 2022, 2022 | | 2022 |
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoZweryfikowany adres z kaust.edu.sa
