Andréa Gesmundo
- Parameter-Efficient Transfer Learning for NLP
2019/02/02 by Neil Houlsby, Houlsby, Neil, Andrei Giurgiu +13 · 716 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Composable Function-preserving Expansions for Transformer Architectures
2023/08/11 by Andréa Gesmundo, Andrea Gesmundo, Kaitlin Maile +2 · 1 voice · 2 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Neural Networks and Applications #cs.LG
- Scaling Up Models and Data with
t5x and seqio
2022/03/31 by Adam Roberts, Roberts, Adam, Hyung Won Chung +83 · 14 citations
Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function:\n Learning with Backpropagation
2019/07/30 by Iulia M. Comșa, Krzysztof Potempa, Comsa, Iulia M. +8 · 6 citations
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
- Evolutionary-Neural Hybrid Agents for Architecture Search
2018/11/24 by Krzysztof Maziarz, Maziarz, Krzysztof, Tan, Mingxing +5 · 4 citations
Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
- An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems
2022/05/25 by Andréa Gesmundo, Andrea Gesmundo, Jeff Dean +2 · 1 voice · 1 citation
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.CV #cs.LG #cs.NE
- Analyzing Language Learned by an Active Question Answering Agent
2018/01/23 by Christian Buck, Jannis Bulian, Buck, Christian +11 · 2 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech and dialogue systems
- Transfer Learning to Learn with Multitask Neural Model Search
2017/10/30 by Catherine Wong, Andréa Gesmundo, Wong, Catherine +1 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Topic Modeling
- Transfer Learning with Neural AutoML
2018/03/07 by Catherine Wong, Wong, Catherine, Neil Houlsby +5 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Ranking architectures using meta-learning
2019/11/26 by Alina Dubatovka, Dubatovka, Alina, Luciano Sbaiz +8 · 1 citation
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications