Tyler L. Hayes

52 papers A* 4A 3Journal 29Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Modular Memory is the Key to Continual Learning Agents. CoRR Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2025	J	`jnl`	Quantifying the Role of OpenFold Components in Protein Structure Prediction. CoRR Tyler L. Hayes, Giri P. Krishnan
2025	J	`jnl`	Test-time Vocabulary Adaptation for Language-driven Object Detection. CoRR Mingxuan Liu, Tyler L. Hayes, Massimiliano Mancini, Elisa Ricci, Riccardo Volpi, Gabriela Csurka
2024	—	`ed.`	AAAI Bridge Program on Continual Causality, 20-21 February 2024, Vancouver, Canada. AAAI Bridge Program Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Tyler L. Hayes, Rebecca Herman, Adéle Ribeiro, James Seale Smith
2024	J	`jnl`	Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 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
2024	—	`conf`	PANDAS: Prototype-based Novel Class Discovery and Detection. CoLLAs Tyler L. Hayes, César Roberto de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus
2024	J	`jnl`	PANDAS: Prototype-based Novel Class Discovery and Detection. CoRR Tyler L. Hayes, César Roberto de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus
2024	A*	`conf`	SHiNe: Semantic Hierarchy Nexus for Open-Vocabulary Object Detection. CVPR Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi
2024	J	`jnl`	SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection. CoRR Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi
2024	—	`conf`	What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision. ECCV Workshops (21) Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi
2024	J	`jnl`	What could go wrong? Discovering and describing failure modes in computer vision. CoRR Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi
2023	—	`ed.`	AAAI Bridge Program on Continual Causality, 7-8 February 2023, Washington, DC, USA AAAI Bridge Program Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes
2023	—	`conf`	Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program. AAAI Bridge Program Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes
2023	J	`jnl`	Continual Learning: Applications and the Road Forward. CoRR 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
2023	—	`conf`	How Efficient Are Today's Continual Learning Algorithms? CVPR Workshops Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
2023	J	`jnl`	How Efficient Are Today's Continual Learning Algorithms? CoRR Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
2023	J	`jnl`	SIESTA: Efficient Online Continual Learning with Sleep. CoRR Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan
2023	J	`jnl`	SIESTA: Efficient Online Continual Learning with Sleep. Trans. Mach. Learn. Res. Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan
2022	A	`conf`	Can I see an Example? Active Learning the Long Tail of Attributes and Relations. BMVC Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam
2022	J	`jnl`	Can I see an Example? Active Learning the Long Tail of Attributes and Relations. CoRR Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam
2022	—	`conf`	Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo
2022	—	`conf`	Online Continual Learning for Embedded Devices. CoLLAs Tyler L. Hayes, Christopher Kanan
2022	J	`jnl`	Online Continual Learning for Embedded Devices. CoRR Tyler L. Hayes, Christopher Kanan
2022	—	`conf`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2022	J	`jnl`	System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 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
2021	J	`jnl`	Avalanche: an End-to-End Library for Continual Learning. CoRR 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 Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
2021	J	`jnl`	Disentangling Transfer and Interference in Multi-Domain Learning. CoRR Yipeng Zhang, Tyler L. Hayes, Christopher Kanan
2021	J	`jnl`	Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
2021	J	`jnl`	Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
2021	—	`conf`	Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CVPR Workshops Tyler L. Hayes, Christopher Kanan
2021	J	`jnl`	Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CoRR Tyler L. Hayes, Christopher Kanan
2021	A	`conf`	Self-Supervised Training Enhances Online Continual Learning. BMVC Gianmarco J. Gallardo, Tyler L. Hayes, Christopher Kanan
2021	J	`jnl`	Self-Supervised Training Enhances Online Continual Learning. CoRR Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
2020	J	`jnl`	Do We Need Fully Connected Output Layers in Convolutional Networks? CoRR Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan
2020	—	`conf`	Improved Robustness to Open Set Inputs via Tempered Mixup. ECCV Workshops (1) Ryne Roady, Tyler L. Hayes, Christopher Kanan
2020	J	`jnl`	Improved Robustness to Open Set Inputs via Tempered Mixup. CoRR Ryne Roady, Tyler L. Hayes, Christopher Kanan
2020	—	`conf`	Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CVPR Workshops Tyler L. Hayes, Christopher Kanan
2020	—	`conf`	REMIND Your Neural Network to Prevent Catastrophic Forgetting. ECCV (8) Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
2020	A	`conf`	RODEO: Replay for Online Object Detection. BMVC Manoj Acharya, Tyler L. Hayes, Christopher Kanan
2020	J	`jnl`	RODEO: Replay for Online Object Detection. CoRR Manoj Acharya, Tyler L. Hayes, Christopher Kanan
2020	—	`conf`	Stream-51: Streaming Classification and Novelty Detection from Videos. CVPR Workshops Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan
2019	J	`jnl`	Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? CoRR Ryne Roady, Tyler L. Hayes, Ronald Kemker, Ayesha Gonzales, Christopher Kanan
2019	J	`jnl`	Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CoRR Tyler L. Hayes, Christopher Kanan
2019	A*	`conf`	Memory Efficient Experience Replay for Streaming Learning. ICRA Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
2019	J	`jnl`	REMIND Your Neural Network to Prevent Catastrophic Forgetting. CoRR Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
2018	A*	`conf`	Compassionately Conservative Balanced Cuts for Image Segmentation. CVPR Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton
2018	J	`jnl`	Compassionately Conservative Balanced Cuts for Image Segmentation. CoRR Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton
2018	A*	`conf`	Measuring Catastrophic Forgetting in Neural Networks. AAAI Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan
2018	J	`jnl`	Memory Efficient Experience Replay for Streaming Learning. CoRR Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
2018	—	`conf`	New Metrics and Experimental Paradigms for Continual Learning. CVPR Workshops Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan
2016	J	`jnl`	Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation. CoRR Renee T. Meinhold, Tyler L. Hayes, Nathan D. Cahill