Hayes, Tyler L.

16 publications

TMLR 2024 Continual Learning: Applications and the Road Forward Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M van de Ven

CoLLAs 2024 PANDAS: Prototype-Based Novel Class Discovery and Detection Tyler L. Hayes, César Roberto de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus

CVPR 2024 SHiNe: Semantic Hierarchy Nexus for Open-Vocabulary Object Detection Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi

ECCVW 2024 What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi

CVPRW 2023 How Efficient Are Today's Continual Learning Algorithms? Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan

TMLR 2023 SIESTA: Efficient Online Continual Learning with Sleep Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan

CoLLAs 2022 Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2 Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo

CoLLAs 2022 Online Continual Learning for Embedded Devices Tyler L. Hayes, Christopher Kanan

CVPRW 2021 Avalanche: An End-to-End Library for Continual Learning Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

CVPRW 2021 Selective Replay Enhances Learning in Online Continual Analogical Reasoning Tyler L. Hayes, Christopher Kanan

ECCVW 2020 Improved Robustness to Open Set Inputs via Tempered Mixup Ryne Roady, Tyler L. Hayes, Christopher Kanan

CVPRW 2020 Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis Tyler L. Hayes, Christopher Kanan

ECCV 2020 REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan

CVPRW 2020 Stream-51: Streaming Classification and Novelty Detection from Videos Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan

AAAI 2018 Measuring Catastrophic Forgetting in Neural Networks Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan

CVPRW 2018 New Metrics and Experimental Paradigms for Continual Learning Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan