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ORCIDAndrea Gesmundo
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2020 – today
- 2023
[j2]Adam Roberts, Hyung Won Chung, Gaurav Mishra, Anselm Levskaya, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Kehang Han, Michelle Casbon, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo:
Scaling Up Models and Data with t5x and seqio. J. Mach. Learn. Res. 24: 377:1-377:8 (2023)- [i20]Andrea Gesmundo:
Multipath agents for modular multitask ML systems. CoRR abs/2302.02721 (2023) - [i19]Andrea Gesmundo, Kaitlin Maile:
Composable Function-preserving Expansions for Transformer Architectures. CoRR abs/2308.06103 (2023) - 2022
- [j1]Iulia-Maria Comsa
, Krzysztof Potempa, Luca Versari, Thomas Fischbacher, Andrea Gesmundo, Jyrki Alakuijala:
Temporal Coding in Spiking Neural Networks With Alpha Synaptic Function: Learning With Backpropagation. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5939-5952 (2022) - [i18]Adam Roberts, Hyung Won Chung, Anselm Levskaya, Gaurav Mishra, James Bradbury, Daniel Andor, Sharan Narang, Brian Lester, Colin Gaffney, Afroz Mohiuddin, Curtis Hawthorne, Aitor Lewkowycz, Alex Salcianu, Marc van Zee, Jacob Austin, Sebastian Goodman, Livio Baldini Soares, Haitang Hu, Sasha Tsvyashchenko, Aakanksha Chowdhery, Jasmijn Bastings, Jannis Bulian, Xavier Garcia, Jianmo Ni, Andrew Chen, Kathleen Kenealy, Jonathan H. Clark, Stephan Lee, Dan Garrette, James Lee-Thorp, Colin Raffel, Noam Shazeer, Marvin Ritter, Maarten Bosma, Alexandre Passos, Jeremy Maitin-Shepard, Noah Fiedel, Mark Omernick, Brennan Saeta, Ryan Sepassi, Alexander Spiridonov, Joshua Newlan, Andrea Gesmundo:
Scaling Up Models and Data with t5x and seqio. CoRR abs/2203.17189 (2022) - [i17]Andrea Gesmundo, Jeff Dean:
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems. CoRR abs/2205.10937 (2022) - [i16]Andrea Gesmundo, Jeff Dean:
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems. CoRR abs/2205.12755 (2022) - [i15]Andrea Gesmundo:
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems. CoRR abs/2209.07326 (2022) - [i14]Andrea Gesmundo:
A Multi-Agent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems. CoRR abs/2209.14745 (2022) - 2020
- [c16]Thomas Meyer, Andrei Popescu-Belis, Najeh Hajlaoui, Andrea Gesmundo:
Machine Translation of Labeled Discourse Connectives. AMTA 2020 - [c15]Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent:
Task-Aware Performance Prediction for Efficient Architecture Search. ECAI 2020: 1238-1245 - [c14]Iulia M. Comsa, Thomas Fischbacher, Krzysztof Potempa, Andrea Gesmundo, Luca Versari, Jyrki Alakuijala:
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function. ICASSP 2020: 8529-8533 - [i13]Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent:
Routing Networks with Co-training for Continual Learning. CoRR abs/2009.04381 (2020)
2010 – 2019
- 2019
- [c13]Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly:
Parameter-Efficient Transfer Learning for NLP. ICML 2019: 2790-2799 - [i12]Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly:
Parameter-Efficient Transfer Learning for NLP. CoRR abs/1902.00751 (2019) - [i11]Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent:
Fast Task-Aware Architecture Inference. CoRR abs/1902.05781 (2019) - [i10]Zalán Borsos, Andrey Khorlin, Andrea Gesmundo:
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents. CoRR abs/1906.08102 (2019) - [i9]Iulia M. Comsa, Krzysztof Potempa, Luca Versari, Thomas Fischbacher, Andrea Gesmundo, Jyrki Alakuijala:
Temporal coding in spiking neural networks with alpha synaptic function. CoRR abs/1907.13223 (2019) - [i8]Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gábor Bartók, Jesse Berent:
Gumbel-Matrix Routing for Flexible Multi-task Learning. CoRR abs/1910.04915 (2019) - [i7]Alina Dubatovka, Efi Kokiopoulou, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent:
Ranking architectures using meta-learning. CoRR abs/1911.11481 (2019) - 2018
- [c12]Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang:
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning. ICLR 2018 - [c11]Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo:
Transfer Learning with Neural AutoML. NeurIPS 2018: 8366-8375 - [i6]Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang:
Analyzing Language Learned by an Active Question Answering Agent. CoRR abs/1801.07537 (2018) - [i5]Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo:
Transfer Automatic Machine Learning. CoRR abs/1803.02780 (2018) - [i4]Krzysztof Maziarz, Andrey Khorlin, Quentin de Laroussilhe, Andrea Gesmundo:
Evolutionary-Neural Hybrid Agents for Architecture Search. CoRR abs/1811.09828 (2018) - [i3]Quentin de Laroussilhe, Stanislaw Jastrzebski, Neil Houlsby, Andrea Gesmundo:
Neural Architecture Search Over a Graph Search Space. CoRR abs/1812.10666 (2018) - 2017
- [i2]Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Andrea Gesmundo, Neil Houlsby, Wojciech Gajewski, Wei Wang:
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning. CoRR abs/1705.07830 (2017) - [i1]Catherine Wong, Andrea Gesmundo:
Transfer Learning to Learn with Multitask Neural Model Search. CoRR abs/1710.10776 (2017) - 2014
- [b1]Andrea Gesmundo:
Algorithms and frameworks for Tree-based Machine Translation and tree structures prediction. University of Geneva, Switzerland, 2014 - [c10]Andrea Gesmundo, James Henderson:
Undirected Machine Translation with Discriminative Reinforcement Learning. EACL 2014: 10-19 - [c9]Andrea Gesmundo, Keith B. Hall:
Projecting the Knowledge Graph to Syntactic Parsing. EACL 2014: 28-32 - 2012
- [c8]Andrea Gesmundo, Giorgio Satta, James Henderson:
Heuristic Cube Pruning in Linear Time. ACL (2) 2012: 296-300 - [c7]Andrea Gesmundo, Tanja Samardzic:
Lemmatisation as a Tagging Task. ACL (2) 2012: 368-372 - [c6]Andrea Gesmundo, Nadi Tomeh:
HadoopPerceptron: a Toolkit for Distributed Perceptron Training and Prediction with MapReduce. EACL 2012: 97-101 - [c5]Andrea Gesmundo, Tanja Samardzic:
Lemmatising Serbian as Category Tagging with Bidirectional Sequence Classification. LREC 2012: 2103-2106 - 2011
- [c4]Andrea Gesmundo, James Henderson:
Heuristic Search for Non-Bottom-Up Tree Structure Prediction. EMNLP 2011: 899-908 - [c3]Andrea Gesmundo:
Classification de séquences bidirectionnelles pour des tâches d'étiquetage par apprentissage guidé (Bidirectional Sequence Classification for Tagging Tasks with Guided Learning). TALN (Articles courts) 2011: 212-217 - 2010
- [c2]Andrea Gesmundo, James Henderson:
Faster cube pruning. IWSLT 2010: 267-274
2000 – 2009
- 2009
- [c1]Andrea Gesmundo, James Henderson, Paola Merlo, Ivan Titov:
A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages. CoNLL Shared Task 2009: 37-42
Coauthor Index
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