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Imanol Schlag
Imanol Schlag
Verified email at idsia.ch
Title
Cited by
Cited by
Year
Solving quantitative reasoning problems with language models
A Lewkowycz, A Andreassen, D Dohan, E Dyer, H Michalewski, ...
Advances in Neural Information Processing Systems 35, 3843-3857, 2022
3542022
Linear Transformers are Secretly Fast Weight Programmers
I Schlag*, K Irie*, J Schmidhuber
International Conference on Machine Learning, 9355-9366, 2021
166*2021
Learning to reason with third order tensor products
I Schlag, J Schmidhuber
Advances in neural information processing systems 31, 9981-9993, 2018
762018
Block-Recurrent Transformers
DL Hutchins*, I Schlag*, Y Wu, E Dyer, B Neyshabur
arXiv preprint arXiv:2203.07852, 2022
752022
Enhancing the transformer with explicit relational encoding for math problem solving
I Schlag, P Smolensky, R Fernandez, N Jojic, J Schmidhuber, J Gao
arXiv preprint arXiv:1910.06611, 2019
592019
Going beyond linear transformers with recurrent fast weight programmers
K Irie*, I Schlag*, R Csordás, J Schmidhuber
Advances in Neural Information Processing Systems 34, 2021
542021
Learning Associative Inference Using Fast Weight Memory
I Schlag, T Munkhdalai, J Schmidhuber
International Conference on Learning Representations, 2021
372021
Ancient Roman coin recognition in the wild using deep learning based recognition of artistically depicted face profiles
I Schlag, O Arandjelovic
Proceedings of the IEEE International Conference on Computer Vision …, 2017
362017
Gated fast weights for on-the-fly neural program generation
I Schlag, J Schmidhuber
NIPS Metalearning Workshop, 2017
302017
Solving quantitative reasoning problems with language models, 2022
A Lewkowycz, A Andreassen, D Dohan, E Dyer, H Michalewski, ...
URL https://arxiv. org/abs/2206.14858, 0
27*
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
252021
Mindstorms in Natural Language-Based Societies of Mind
M Zhuge, H Liu, F Faccio, DR Ashley, R Csordás, A Gopalakrishnan, ...
arXiv preprint arXiv:2305.17066, 2023
202023
Large Language Model Programs
I Schlag, S Sukhbaatar, A Celikyilmaz, W Yih, J Weston, J Schmidhuber, ...
arXiv preprint arXiv:2305.05364, 2023
122023
Improving Baselines in the Wild
K Irie, I Schlag, R Csordás, J Schmidhuber
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
22021
Augmenting Classic Algorithms with Neural Components for Strong Generalisation on Ambiguous and High-Dimensional Data
I Schlag, J Schmidhuber
Advances in Programming Languages and Neurosymbolic Systems Workshop, 2021
12021
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
A Stanić, D Ashley, O Serikov, L Kirsch, F Faccio, J Schmidhuber, ...
arXiv preprint arXiv:2309.11197, 2023
2023
Fast weight programmers for greater systematic generalisation in language
I Schlag
2023
IDSIA/modern-srwm: Official repository for the paper" A Modern Self-Referential Weight Matrix That Learns to Modify Itself"(ICML 2022 & NeurIPS 2021 Deep RL Workshop)
K Irie, I Schlag, R Csordás, J Schmidhuber
Github, 2021
2021
Gated Fast Weights for Associative Retrieval
I Schlag, J Schmidhuber
2017
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