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Imanol Schlag
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2020 – today
- 2024
- [c10]Anton Schäfer, Thomas Hofmann, Imanol Schlag, Tiago Pimentel:
On the Effect of (Near) Duplicate Subwords in Language Modelling. ACL (Findings) 2024: 9580-9597 - [c9]Sotiris Anagnostidis, Gregor Bachmann, Imanol Schlag, Thomas Hofmann:
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training. ICML 2024 - [i15]Anton Schäfer, Thomas Hofmann, Imanol Schlag, Tiago Pimentel:
On the Effect of (Near) Duplicate Subwords in Language Modelling. CoRR abs/2404.06508 (2024) - [i14]Anton Schäfer, Shauli Ravfogel, Thomas Hofmann, Tiago Pimentel, Imanol Schlag:
Language Imbalance Can Boost Cross-lingual Generalisation. CoRR abs/2404.07982 (2024) - [i13]Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann:
Understanding and Minimising Outlier Features in Neural Network Training. CoRR abs/2405.19279 (2024) - 2023
- [i12]Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, Wen-tau Yih, Jason Weston, Jürgen Schmidhuber, Xian Li:
Large Language Model Programs. CoRR abs/2305.05364 (2023) - [i11]Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber:
Mindstorms in Natural Language-Based Societies of Mind. CoRR abs/2305.17066 (2023) - [i10]Aleksandar Stanic, Dylan R. Ashley, Oleg Serikov, Louis Kirsch, Francesco Faccio, Jürgen Schmidhuber, Thomas Hofmann, Imanol Schlag:
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute. CoRR abs/2309.11197 (2023) - 2022
- [c8]Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber:
A Modern Self-Referential Weight Matrix That Learns to Modify Itself. ICML 2022: 9660-9677 - [c7]DeLesley Hutchins, Imanol Schlag, Yuhuai Wu, Ethan Dyer, Behnam Neyshabur:
Block-Recurrent Transformers. NeurIPS 2022 - [c6]Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay V. Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, Vedant Misra:
Solving Quantitative Reasoning Problems with Language Models. NeurIPS 2022 - [i9]Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber:
A Modern Self-Referential Weight Matrix That Learns to Modify Itself. CoRR abs/2202.05780 (2022) - [i8]DeLesley Hutchins, Imanol Schlag, Yuhuai Wu, Ethan Dyer, Behnam Neyshabur:
Block-Recurrent Transformers. CoRR abs/2203.07852 (2022) - [i7]Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay V. Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, Vedant Misra:
Solving Quantitative Reasoning Problems with Language Models. CoRR abs/2206.14858 (2022) - 2021
- [c5]Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber:
Learning Associative Inference Using Fast Weight Memory. ICLR 2021 - [c4]Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber:
Linear Transformers Are Secretly Fast Weight Programmers. ICML 2021: 9355-9366 - [c3]Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber:
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers. NeurIPS 2021: 7703-7717 - [i6]Imanol Schlag, Kazuki Irie, Jürgen Schmidhuber:
Linear Transformers Are Secretly Fast Weight Memory Systems. CoRR abs/2102.11174 (2021) - [i5]Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber:
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers. CoRR abs/2106.06295 (2021) - [i4]Kazuki Irie, Imanol Schlag, Róbert Csordás, Jürgen Schmidhuber:
Improving Baselines in the Wild. CoRR abs/2112.15550 (2021) - 2020
- [i3]Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber:
Learning Associative Inference Using Fast Weight Memory. CoRR abs/2011.07831 (2020)
2010 – 2019
- 2019
- [i2]Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao:
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. CoRR abs/1910.06611 (2019) - 2018
- [c2]Imanol Schlag, Jürgen Schmidhuber:
Learning to Reason with Third Order Tensor Products. NeurIPS 2018: 10003-10014 - [i1]Imanol Schlag, Jürgen Schmidhuber:
Learning to Reason with Third-Order Tensor Products. CoRR abs/1811.12143 (2018) - 2017
- [c1]Imanol Schlag, Ognjen Arandjelovic
:
Ancient Roman Coin Recognition in the Wild Using Deep Learning Based Recognition of Artistically Depicted Face Profiles. ICCV Workshops 2017: 2898-2906
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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