Andrea Gesmundo

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 27

Top Topics

Syntactic Parsing

Transfer Learning

Spiking Neural Networks

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Andrea Gesmundo, Kaitlin Maile
Composable Function-preserving Expansions for Transformer Architectures. CoRR (2023)
Andrea Gesmundo
Multipath agents for modular multitask ML systems. CoRR (2023)
Andrea Gesmundo, Jeff Dean
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems. CoRR (2022)
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 (2022)
Andrea Gesmundo, Jeff Dean
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems. CoRR (2022)
Andrea Gesmundo
A Multi-Agent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems. CoRR (2022)
Andrea Gesmundo
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems. CoRR (2022)
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) (2022)
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)
Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
Task-Aware Performance Prediction for Efficient Architecture Search. ECAI (2020)
Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent
Routing Networks with Co-training for Continual Learning. CoRR (2020)
Thomas Meyer, Andrei Popescu-Belis, Najeh Hajlaoui, Andrea Gesmundo
Machine Translation of Labeled Discourse Connectives. AMTA (2020)
Zalán Borsos, Andrey Khorlin, Andrea Gesmundo
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents. CoRR (2019)
Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gábor Bartók, Jesse Berent
Gumbel-Matrix Routing for Flexible Multi-task Learning. CoRR (2019)
Iulia M. Comsa, Krzysztof Potempa, Luca Versari, Thomas Fischbacher, Andrea Gesmundo, Jyrki Alakuijala
Temporal coding in spiking neural networks with alpha synaptic function. CoRR (2019)
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly
Parameter-Efficient Transfer Learning for NLP. CoRR (2019)
Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
Fast Task-Aware Architecture Inference. CoRR (2019)
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)
Alina Dubatovka, Efi Kokiopoulou, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
Ranking architectures using meta-learning. CoRR (2019)
Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo
Transfer Automatic Machine Learning. CoRR (2018)
Krzysztof Maziarz, Andrey Khorlin, Quentin de Laroussilhe, Andrea Gesmundo
Evolutionary-Neural Hybrid Agents for Architecture Search. CoRR (2018)
Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang
Analyzing Language Learned by an Active Question Answering Agent. CoRR (2018)
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)
Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo
Transfer Learning with Neural AutoML. NeurIPS (2018)
Quentin de Laroussilhe, Stanislaw Jastrzebski, Neil Houlsby, Andrea Gesmundo
Neural Architecture Search Over a Graph Search Space. CoRR (2018)
Catherine Wong, Andrea Gesmundo
Transfer Learning to Learn with Multitask Neural Model Search. CoRR (2017)
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 (2017)
Andrea Gesmundo, Keith B. Hall
Projecting the Knowledge Graph to Syntactic Parsing. EACL (2014)
Andrea Gesmundo, James Henderson
Undirected Machine Translation with Discriminative Reinforcement Learning. EACL (2014)
Andrea Gesmundo, Giorgio Satta, James Henderson
Heuristic Cube Pruning in Linear Time. ACL (2) (2012)
Andrea Gesmundo, Tanja Samardzic
Lemmatisation as a Tagging Task. ACL (2) (2012)
Andrea Gesmundo, Nadi Tomeh
HadoopPerceptron: a Toolkit for Distributed Perceptron Training and Prediction with MapReduce. EACL (2012)
Andrea Gesmundo, Tanja Samardzic
Lemmatising Serbian as Category Tagging with Bidirectional Sequence Classification. LREC (2012)
Andrea Gesmundo, James Henderson
Heuristic Search for Non-Bottom-Up Tree Structure Prediction. EMNLP (2011)
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)
Andrea Gesmundo, James Henderson
Faster cube pruning. IWSLT (2010)
Andrea Gesmundo, James Henderson, Paola Merlo, Ivan Titov
A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages. CoNLL Shared Task (2009)