Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTyler L. Hayes
Person information
- affiliation: NAVER LABS Europe
- affiliation (former): Rochester Institute of Technology, NY, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2021
[j1]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. 33(11): 2908-2950 (2021)
Conference and Workshop Papers
- 2023
- [c18]Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes:
Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program. AAAI Bridge Program 2023: 1-10 - [c17]Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan:
How Efficient Are Today's Continual Learning Algorithms? CVPR Workshops 2023: 2431-2436 - 2022
- [c16]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:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c15]Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam:
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. BMVC 2022: 134 - [c14]Tyler L. Hayes, Christopher Kanan:
Online Continual Learning for Embedded Devices. CoLLAs 2022: 744-766 - [c13]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:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - 2021
- [c12]Gianmarco J. Gallardo, Tyler L. Hayes, Christopher Kanan:
Self-Supervised Training Enhances Online Continual Learning. BMVC 2021: 168 - [c11]Tyler L. Hayes, Christopher Kanan:
Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CVPR Workshops 2021: 3502-3512 - [c10]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:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - 2020
- [c9]Manoj Acharya, Tyler L. Hayes, Christopher Kanan:
RODEO: Replay for Online Object Detection. BMVC 2020 - [c8]Tyler L. Hayes, Christopher Kanan:
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CVPR Workshops 2020: 887-896 - [c7]Ryne Roady, Tyler L. Hayes, Hitesh Vaidya, Christopher Kanan:
Stream-51: Streaming Classification and Novelty Detection from Videos. CVPR Workshops 2020: 925-934 - [c6]Ryne Roady, Tyler L. Hayes, Christopher Kanan:
Improved Robustness to Open Set Inputs via Tempered Mixup. ECCV Workshops (1) 2020: 186-201 - [c5]Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan:
REMIND Your Neural Network to Prevent Catastrophic Forgetting. ECCV (8) 2020: 466-483 - 2019
- [c4]Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan:
Memory Efficient Experience Replay for Streaming Learning. ICRA 2019: 9769-9776 - 2018
- [c3]Ronald Kemker, Marc McClure, Angelina Abitino, Tyler L. Hayes, Christopher Kanan:
Measuring Catastrophic Forgetting in Neural Networks. AAAI 2018: 3390-3398 - [c2]Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton:
Compassionately Conservative Balanced Cuts for Image Segmentation. CVPR 2018: 1683-1691 - [c1]Tyler L. Hayes, Ronald Kemker, Nathan D. Cahill, Christopher Kanan:
New Metrics and Experimental Paradigms for Continual Learning. CVPR Workshops 2018: 2031-2034
Editorship
- 2023
- [e1]Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes:
AAAI Bridge Program on Continual Causality, 7-8 February 2023, Washington, DC, USA. Proceedings of Machine Learning Research 208, PMLR 2023 [contents]
Informal and Other Publications
- 2024
- [i22]Tyler L. Hayes, César R. de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus:
PANDAS: Prototype-based Novel Class Discovery and Detection. CoRR abs/2402.17420 (2024) - [i21]Mingxuan Liu, Tyler L. Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi:
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection. CoRR abs/2405.10053 (2024) - 2023
- [i20]Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan:
SIESTA: Efficient Online Continual Learning with Sleep. CoRR abs/2303.10725 (2023) - [i19]Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Christopher Kanan:
How Efficient Are Today's Continual Learning Algorithms? CoRR abs/2303.18171 (2023) - [i18]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:
Continual Learning: Applications and the Road Forward. CoRR abs/2311.11908 (2023) - 2022
- [i17]Tyler L. Hayes, Maximilian Nickel, Christopher Kanan, Ludovic Denoyer, Arthur Szlam:
Can I see an Example? Active Learning the Long Tail of Attributes and Relations. CoRR abs/2203.06215 (2022) - [i16]Tyler L. Hayes, Christopher Kanan:
Online Continual Learning for Embedded Devices. CoRR abs/2203.10681 (2022) - [i15]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:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022) - 2021
- [i14]Tyler L. Hayes, Christopher Kanan:
Selective Replay Enhances Learning in Online Continual Analogical Reasoning. CoRR abs/2103.03987 (2021) - [i13]Jhair Gallardo, Tyler L. Hayes, Christopher Kanan:
Self-Supervised Training Enhances Online Continual Learning. CoRR abs/2103.14010 (2021) - [i12]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:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i11]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR abs/2104.04132 (2021) - [i10]Yipeng Zhang, Tyler L. Hayes, Christopher Kanan:
Disentangling Transfer and Interference in Multi-Domain Learning. CoRR abs/2107.05445 (2021) - 2020
- [i9]Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan:
Do We Need Fully Connected Output Layers in Convolutional Networks? CoRR abs/2004.13587 (2020) - [i8]Manoj Acharya, Tyler L. Hayes, Christopher Kanan:
RODEO: Replay for Online Object Detection. CoRR abs/2008.06439 (2020) - [i7]Ryne Roady, Tyler L. Hayes, Christopher Kanan:
Improved Robustness to Open Set Inputs via Tempered Mixup. CoRR abs/2009.04659 (2020) - 2019
- [i6]Tyler L. Hayes, Christopher Kanan:
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis. CoRR abs/1909.01520 (2019) - [i5]Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan:
REMIND Your Neural Network to Prevent Catastrophic Forgetting. CoRR abs/1910.02509 (2019) - [i4]Ryne Roady, Tyler L. Hayes, Ronald Kemker, Ayesha Gonzales, Christopher Kanan:
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets? CoRR abs/1910.14034 (2019) - 2018
- [i3]Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton:
Compassionately Conservative Balanced Cuts for Image Segmentation. CoRR abs/1803.09903 (2018) - [i2]Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan:
Memory Efficient Experience Replay for Streaming Learning. CoRR abs/1809.05922 (2018) - 2016
- [i1]Renee T. Meinhold, Tyler L. Hayes, Nathan D. Cahill:
Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation. CoRR abs/1612.06496 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-09 04:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
