Andrea Gesmundo

39 papers A* 3A 4B 1Misc 2Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Composable Function-preserving Expansions for Transformer Architectures. CoRR Andrea Gesmundo, Kaitlin Maile
2023	J	`jnl`	Multipath agents for modular multitask ML systems. CoRR Andrea Gesmundo
2023	J	`jnl`	Scaling Up Models and Data with t5x and seqio. J. Mach. Learn. Res. 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
2022	J	`jnl`	A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems. CoRR Andrea Gesmundo
2022	J	`jnl`	A Multi-Agent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems. CoRR Andrea Gesmundo
2022	J	`jnl`	An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems. CoRR Andrea Gesmundo, Jeff Dean
2022	J	`jnl`	Scaling Up Models and Data with t5x and seqio. CoRR 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
2022	J	`jnl`	Temporal Coding in Spiking Neural Networks With Alpha Synaptic Function: Learning With Backpropagation. IEEE Trans. Neural Networks Learn. Syst. Iulia-Maria Comsa, Krzysztof Potempa, Luca Versari, Thomas Fischbacher, Andrea Gesmundo, Jyrki Alakuijala
2022	J	`jnl`	muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems. CoRR Andrea Gesmundo, Jeff Dean
2020	Misc	`conf`	Machine Translation of Labeled Discourse Connectives. AMTA Thomas Meyer, Andrei Popescu-Belis, Najeh Hajlaoui, Andrea Gesmundo
2020	J	`jnl`	Routing Networks with Co-training for Continual Learning. CoRR Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent
2020	A	`conf`	Task-Aware Performance Prediction for Efficient Architecture Search. ECAI Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
2020	Misc	`conf`	Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function. ICASSP Iulia M. Comsa, Thomas Fischbacher, Krzysztof Potempa, Andrea Gesmundo, Luca Versari, Jyrki Alakuijala
2019	J	`jnl`	Fast Task-Aware Architecture Inference. CoRR Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
2019	J	`jnl`	Gumbel-Matrix Routing for Flexible Multi-task Learning. CoRR Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gábor Bartók, Jesse Berent
2019	A*	`conf`	Parameter-Efficient Transfer Learning for NLP. ICML Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly
2019	J	`jnl`	Parameter-Efficient Transfer Learning for NLP. CoRR Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly
2019	J	`jnl`	Ranking architectures using meta-learning. CoRR Alina Dubatovka, Efi Kokiopoulou, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent
2019	J	`jnl`	Temporal coding in spiking neural networks with alpha synaptic function. CoRR Iulia M. Comsa, Krzysztof Potempa, Luca Versari, Thomas Fischbacher, Andrea Gesmundo, Jyrki Alakuijala
2019	J	`jnl`	Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents. CoRR Zalán Borsos, Andrey Khorlin, Andrea Gesmundo
2018	J	`jnl`	Analyzing Language Learned by an Active Question Answering Agent. CoRR Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang
2018	—	`conf`	Ask the Right Questions: Active Question Reformulation with Reinforcement Learning. ICLR Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang
2018	J	`jnl`	Evolutionary-Neural Hybrid Agents for Architecture Search. CoRR Krzysztof Maziarz, Andrey Khorlin, Quentin de Laroussilhe, Andrea Gesmundo
2018	J	`jnl`	Neural Architecture Search Over a Graph Search Space. CoRR Quentin de Laroussilhe, Stanislaw Jastrzebski, Neil Houlsby, Andrea Gesmundo
2018	J	`jnl`	Transfer Automatic Machine Learning. CoRR Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo
2018	A*	`conf`	Transfer Learning with Neural AutoML. NeurIPS Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo
2017	J	`jnl`	Ask the Right Questions: Active Question Reformulation with Reinforcement Learning. CoRR Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Andrea Gesmundo, Neil Houlsby, Wojciech Gajewski, Wei Wang
2017	J	`jnl`	Transfer Learning to Learn with Multitask Neural Model Search. CoRR Catherine Wong, Andrea Gesmundo
2014	—	`—`	Algorithms and frameworks for Tree-based Machine Translation and tree structures prediction. Andrea Gesmundo
2014	A	`conf`	Projecting the Knowledge Graph to Syntactic Parsing. EACL Andrea Gesmundo, Keith B. Hall
2014	A	`conf`	Undirected Machine Translation with Discriminative Reinforcement Learning. EACL Andrea Gesmundo, James Henderson
2012	A	`conf`	HadoopPerceptron: a Toolkit for Distributed Perceptron Training and Prediction with MapReduce. EACL Andrea Gesmundo, Nadi Tomeh
2012	—	`conf`	Heuristic Cube Pruning in Linear Time. ACL (2) Andrea Gesmundo, Giorgio Satta, James Henderson
2012	—	`conf`	Lemmatisation as a Tagging Task. ACL (2) Andrea Gesmundo, Tanja Samardzic
2012	B	`conf`	Lemmatising Serbian as Category Tagging with Bidirectional Sequence Classification. LREC Andrea Gesmundo, Tanja Samardzic
2011	—	`conf`	Classification de séquences bidirectionnelles pour des tâches d'étiquetage par apprentissage guidé (Bidirectional Sequence Classification for Tagging Tasks with Guided Learning). TALN (Articles courts) Andrea Gesmundo
2011	A*	`conf`	Heuristic Search for Non-Bottom-Up Tree Structure Prediction. EMNLP Andrea Gesmundo, James Henderson
2010	—	`conf`	Faster cube pruning. IWSLT Andrea Gesmundo, James Henderson
2009	—	`conf`	A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages. CoNLL Shared Task Andrea Gesmundo, James Henderson, Paola Merlo, Ivan Titov