Fetching the paper…
Reading the bibliography…
Replay is the reactivation of one or more neural patterns, which are similar to the activation patterns experienced during past waking experiences.
S-trigger: Continual state representation learning via self-triggered generative replay
Caselles-Dupré, H., Garcia-Ortiz, M., and Filliat, D. (2019) · 1902
Earlier work this paper cites.
Biologically inspired sleep algorithm for artificial neural networks
Krishnan, G. P., Tadros, T., Ramyaa, R., and Bazhenov, M. (2019) · 1908
Earlier work this paper cites.
Latent replay for real-time continual learning
Pellegrini, L., Graffieti, G., Lomonaco, V., and Maltoni, D. (2019) · 1912
Earlier work this paper cites.
A study of thalamo-cortical relations
Morison, R. and Dempsey, E. (1941) · 1941
Earlier work this paper cites.
Submodularity in data subset selection and active learning
Wei, K., Iyer, R., and Bilmes, J. (2015) · 1963
Earlier work this paper cites.
The biological foundations of language
Lenneberg, E. H. (1967) · 1967
Earlier work this paper cites.
The Hippocampus as a Cognitive Map
O’Keefe, J. and Nadel, L. (1978) · 1978
Earlier work this paper cites.
The function of dream sleep
Crick, F. and Mitchison, G. (1983) · 1983
Earlier work this paper cites.
Natural waking and sleep states: a view from inside neocortical neurons
Steriade, M., Timofeev, I., and Grenier, F. (2001) · 1985
Earlier work this paper cites.
Using fast weights to deblur old memories
Hinton, G. E. and Plaut, D. C. (1987) · 1987
Earlier work this paper cites.
Is there ‘catastrophic interference’ in connectionist networks?
Hetherington, P. (1989) · 1989
Earlier work this paper cites.
Catastrophic interference in connectionist networks: The sequential learning problem
McCloskey, M. and Cohen, N. J. (1989) · 1989
Earlier work this paper cites.
Influences of hippocampal place cell firing in the awake state on the activity of these cells during subsequent sleep episodes
Pavlides, C. and Winson, J. (1989) · 1989
Earlier work this paper cites.
Connectionist models of recognition memory: constraints imposed by learning and forgetting functions
Ratcliff, R. (1990) · 1990
Earlier work this paper cites.
The stability/plasticity dilemma in self-organising neural networks
Gillies, A. (1991) · 1991
Earlier work this paper cites.
Curious model-building control systems
Schmidhuber, J. (1991) · 1991
Earlier work this paper cites.
High-frequency network oscillation in the hippocampus
Buzsáki, G., Horvath, Z., Urioste, R., Hetke, J., and Wise, K. (1992) · 1992
Earlier work this paper cites.
Self-improving reactive agents based on reinforcement learning, planning and teaching
Lin, L.-J. (1992) · 1992
Earlier work this paper cites.
Neurotransmitter actions in the thalamus and cerebral cortex and their role in neuromodulation of thalamocortical activity
McCormick, D. A. (1992) · 1992
Earlier work this paper cites.
Prioritized sweeping: Reinforcement learning with less data and less time
Moore, A. W. and Atkeson, C. G. (1993) · 1993
Earlier work this paper cites.
A novel slow (<1 hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components
Steriade, M., Nunez, A., and Amzica, F. (1993) · 1993
Earlier work this paper cites.
Improving generalization with active learning
Cohn, D., Atlas, L., and Ladner, R. (1994) · 1994
Earlier work this paper cites.
A sequential algorithm for training text classifiers
Lewis, D. D. and Gale, W. A. (1994) · 1994
Earlier work this paper cites.
Reactivation of hippocampal ensemble memories during sleep
Wilson, M. A. and McNaughton, B. L. (1994) · 1994
Earlier work this paper cites.
Committee-based sampling for training probabilistic classifiers
Dagan, I. and Engelson, S. P. (1995) · 1995
Earlier work this paper cites.
Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory
McClelland, J. L., McNaughton, B. L., and O’reilly, R. C. (1995) · 1995
Earlier work this paper cites.
Catastrophic forgetting, rehearsal and pseudorehearsal
Robins, A. (1995) · 1995
Earlier work this paper cites.
Consolidation in neural networks and in the sleeping brain
Robins, A. (1996) · 1996
Earlier work this paper cites.
Modeling the spontaneous reactivation of experience-specific hippocampal cell assembles during sleep
Shen, B. and McNaughton, B. L. (1996) · 1996
Earlier work this paper cites.
Avoiding catastrophic forgetting by coupling two reverberating neural networks
Ans, B. and Rousset, S. (1997) · 1997
Earlier work this paper cites.
Pseudo-recurrent connectionist networks: An approach to the ‘sensitivity-stability’ dilemma
French, R. M. (1997) · 1997
Earlier work this paper cites.
Regulation of synaptic efficacy by coincidence of postsynaptic aps and epsps
Markram, H., Lübke, J., Frotscher, M., and Sakmann, B. (1997) · 1997
Earlier work this paper cites.
Memory consolidation, retrograde amnesia and the hippocampal complex
Nadel, L. and Moscovitch, M. (1997) · 1997
Earlier work this paper cites.
Maintaining stability during new learning in neural networks
Robins, A. (1997) · 1997
Earlier work this paper cites.
Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type
Bi, G.-q. and Poo, M.-m. (1998) · 1998
Earlier work this paper cites.
Catastrophic forgetting and the pseudorehearsal solution in hopfield-type networks
Robins, A. and McCallum, S. (1998) · 1998
Earlier work this paper cites.
Coordinated interactions between hippocampal ripples and cortical spindles during slow-wave sleep
Siapas, A. G. and Wilson, M. A. (1998) · 1998
Earlier work this paper cites.
Time-dependent reorganization of brain circuitry underlying long-term memory storage
Bontempi, B., Laurent-Demir, C., Destrade, C., and Jaffard, R. (1999) · 1999
Earlier work this paper cites.
Catastrophic forgetting in connectionist networks
French, R. M. (1999) · 1999
Earlier work this paper cites.
Reactivation of Hippocampal Cell Assemblies: Effects of Behavioral State, Experience, and EEG Dynamics
Kudrimoti, H. S., Barnes, C. A., and McNaughton, B. L. (1999) · 1999
Earlier work this paper cites.
Replay and Time Compression of Recurring Spike Sequences in the Hippocampus
Nádasdy, Z., Hirase, H., Czurkó, A., Csicsvari, J., and Buzsáki, G. (1999) · 1999
Earlier work this paper cites.
The consolidation of learning during sleep: comparing the pseudorehearsal and unlearning accounts
Robins, A. and McCallum, S. (1999) · 1999
Earlier work this paper cites.
Sleep-induced changes in associative memory
Stickgold, R., Scott, L., Rittenhouse, C., and Hobson, J. A. (1999) · 1999
Earlier work this paper cites.
Synaptic plasticity: taming the beast
Abbott, L. F. and Nelson, S. B. (2000) · 2000
Earlier work this paper cites.
Memory–a Century of Consolidation
McGaugh, J. L. (2000) · 2000
Earlier work this paper cites.
Why do we sleep?
Sejnowski, T. J. and Destexhe, A. (2000) · 2000
Earlier work this paper cites.
Temporally Structured Replay of Awake Hippocampal Ensemble Activity during Rapid Eye Movement Sleep
Louie, K. and Wilson, M. A. (2001) · 2001
Earlier work this paper cites.
Conjunctive representations in learning and memory: principles of cortical and hippocampal function
O’Reilly, R. C. and Rudy, J. W. (2001) · 2001
Earlier work this paper cites.
Active hidden markov models for information extraction
Scheffer, T., Decomain, C., and Wrobel, S. (2001) · 2001
Earlier work this paper cites.
Emotional memory formation is enhanced across sleep intervals with high amounts of rapid eye movement sleep
Wagner, U., Gais, S., and Born, J. (2001) · 2001
Earlier work this paper cites.
Memory of Sequential Experience in the Hippocampus during Slow Wave Sleep
Lee, A. K. and Wilson, M. A. (2002) · 2002
Earlier work this paper cites.
Continual universal object detection
Liu, X., Yang, H., Ravichandran, A., Bhotika, R., and Soatto, S. (2020a) · 2002
Earlier work this paper cites.
Continuous domain adaptation with variational domain-agnostic feature replay
Lao, Q., Jiang, X., Havaei, M., and Bengio, Y. (2020) · 2003
Earlier work this paper cites.
Ingestion of ethanol just prior to sleep onset impairs memory for procedural but not declarative tasks
Smith, C. and Smith, D. (2003) · 2003
Earlier work this paper cites.
Hippocampal sharp wave bursts coincide with neocortical “up-state” transitions
Battaglia, F. P., Sutherland, G. R., and McNaughton, B. L. (2004) · 2004
Earlier work this paper cites.
Off-line replay maintains declarative memories in a model of hippocampal-neocortical interactions
Káli, S. and Dayan, P. (2004) · 2004
Earlier work this paper cites.
Sleep-dependent learning and motor-skill complexity
Kuriyama, K., Stickgold, R., and Walker, M. P. (2004) · 2004
Earlier work this paper cites.
Sequential learning in neural networks: A review and a discussion of pseudorehearsal based methods
Robins, A. (2004) · 2004
Earlier work this paper cites.
Children creating core properties of language: Evidence from an emerging sign language in nicaragua
Senghas, A., Kita, S., and Özyürek, A. (2004) · 2004
Earlier work this paper cites.
Sleep inspires insight
Wagner, U., Gais, S., Haider, H., Verleger, R., and Born, J. (2004) · 2004
Earlier work this paper cites.
Sleep-dependent learning and memory consolidation
Walker, M. P. and Stickgold, R. (2004) · 2004
Earlier work this paper cites.
Memory retention – the synaptic stability versus plasticity dilemma
Abraham, W. C. and Robins, A. (2005) · 2005
Earlier work this paper cites.
Off-line learning of motor skill memory: A double dissociation of goal and movement
Cohen, D. A., Pascual-Leone, A., Press, D. Z., and Robertson, E. M. (2005) · 2005
Earlier work this paper cites.
Reducing labeling effort for structured prediction tasks
Culotta, A. and McCallum, A. (2005) · 2005
Earlier work this paper cites.
Sleep-Dependent Memory Consolidation
Stickgold, R. (2005) · 2005
Earlier work this paper cites.
Sleep-Dependent Motor Memory Plasticity in the Human Brain
Walker, M., Stickgold, R., Alsop, D., Gaab, N., and Schlaug, G. (2005) · 2005
Earlier work this paper cites.
Thalamocortical oscillations
Bazhenov, M. and Timofeev, I. (2006) · 2006
Earlier work this paper cites.
Learning-dependent changes in sleep spindles and stage 2 sleep
Fogel, S. M. and Smith, C. T. (2006) · 2006
Earlier work this paper cites.
Reverse replay of behavioural sequences in hippocampal place cells during the awake state
Foster, D. J. and Wilson, M. A. (2006) · 2006
Earlier work this paper cites.
Naps promote abstraction in language-learning infants
Gómez, R. L., Bootzin, R. R., and Nadel, L. (2006) · 2006
Earlier work this paper cites.
Sleep Facilitates Consolidation of Emotional Declarative Memory
Hu, P., Stylos-Allan, M., and Walker, M. P. (2006) · 2006
Earlier work this paper cites.
Hippocampal sharp wave-ripples linked to slow oscillations in rat slow-wave sleep
Mölle, M., Yeshenko, O., Marshall, L., Sara, S. J., and Born, J. (2006) · 2006
Earlier work this paper cites.
Methodological Considerations on the Use of Template Matching to Study Long-Lasting Memory Trace Replay
Tatsuno, M., Lipa, P., and McNaughton, B. L. (2006) · 2006
Earlier work this paper cites.
Off-Line Processing: Reciprocal Interactions between Declarative and Procedural Memories
Brown, R. M. and Robertson, E. M. (2007) · 2007
Earlier work this paper cites.
Sleep-associated changes in the mental representation of spoken words
Dumay, N. and Gaskell, M. G. (2007) · 2007
Earlier work this paper cites.
Human relational memory requires time and sleep
Ellenbogen, J. M., Hu, P. T., Payne, J. D., Titone, D., and Walker, M. P. (2007) · 2007
Earlier work this paper cites.
Fast-forward playback of recent memory sequences in prefrontal cortex during sleep
Euston, D. R., Tatsuno, M., and McNaughton, B. L. (2007) · 2007
Earlier work this paper cites.
Coordinated Memory Replay in the Visual Cortex and Hippocampus during Sleep
Ji, D. and Wilson, M. A. (2007) · 2007
Earlier work this paper cites.
Neural ensembles in ca3 transiently encode paths forward of the animal at a decision point
Johnson, A. and Redish, A. D. (2007) · 2007
Earlier work this paper cites.
Daytime Naps, Motor Memory Consolidation and Regionally Specific Sleep Spindles
Nishida, M. and Walker, M. P. (2007) · 2007
Earlier work this paper cites.
The hippocampal indexing theory and episodic memory: Updating the index
Teyler, T. J. and Rudy, J. W. (2007) · 2007
Earlier work this paper cites.
Hierarchical sampling for active learning
Dasgupta, S. and Hsu, D. (2008) · 2008
Earlier work this paper cites.
Perirhinal cortex supports encoding and familiarity-based recognition of novel associations
Haskins, A. L., Yonelinas, A. P., Quamme, J. R., and Ranganath, C. (2008) · 2008
Earlier work this paper cites.
Hippocampal contributions to control: the third way
Lengyel, M. and Dayan, P. (2008) · 2008
Earlier work this paper cites.
Sleep preferentially enhances memory for emotional components of scenes
Payne, J. D., Stickgold, R., Swanberg, K., and Kensinger, E. A. (2008) · 2008
Earlier work this paper cites.
Curriculum Learning
Bengio, Y., Louradour, J., Collobert, R., and Weston, J. (2009) · 2009
Earlier work this paper cites.
Rem, not incubation, improves creativity by priming associative networks
Cai, D. J., Mednick, S. A., Harrison, E. M., Kanady, J. C., and Mednick, S. C. (2009) · 2009
Cited alongside, same era.
Hippocampal Replay of Extended Experience
Davidson, T. J., Kloosterman, F., and Wilson, M. A. (2009) · 2009
Cited alongside, same era.
Sleep enhances category learning
Djonlagic, I., Rosenfeld, A., Shohamy, D., Myers, C., Gluck, M., and Stickgold, R. (2009) · 2009
Cited alongside, same era.
Awake Replay of Remote Experiences in the Hippocampus
Karlsson, M. P. and Frank, L. M. (2009) · 2009
Cited alongside, same era.
Replay of Rule-Learning Related Neural Patterns in the Prefrontal Cortex during Sleep
Peyrache, A., Khamassi, M., Benchenane, K., Wiener, S. I., and Battaglia, F. P. (2009) · 2009
Cited alongside, same era.
Active learning literature survey
Settles, B. (2009) · 2009
Cited alongside, same era.
Pseudo-recursal: Solving the catastrophic forgetting problem in deep neural networks. arxiv 2018
Atkinson, C., McCane, B., Szymanski, L., and Robins, A. (2018) · 2018
Later among the works it cites.
End-to-end incremental learning
Castro, F. M., Marín-Jiménez, M. J., Guil, N., Schmid, C., and Alahari, K. (2018) · 2018
Later among the works it cites.
Hippocampal replays under the scrutiny of reinforcement learning models
Cazé, R., Khamassi, M., Aubin, L., and Girard, B. (2018) · 2018
Later among the works it cites.
Riemannian walk for incremental learning: Understanding forgetting and intransigence
Chaudhry, A., Dokania, P. K., Ajanthan, T., and Torr, P. H. (2018) · 2018
Later among the works it cites.
Learning to teach
Fan, Y., Tian, F., Qin, T., Li, X.-Y., and Liu, T.-Y. (2018) · 2018
Later among the works it cites.
Exemplar-supported generative reproduction for class incremental learning
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Rewarded outcomes enhance reactivation of experience in the hippocampus
Singer, A. C. and Frank, L. M. (2009) · 2009
Cited alongside, same era.
Recognition memory for one-trial-unitized word pairs: Evidence from event-related potentials
Bader, R., Mecklinger, A., Hoppstädter, M., and Meyer, P. (2010) · 2010
Cited alongside, same era.
Slow-Wave Sleep and the Consolidation of Long-Term Memory
Born, J. (2010) · 2010
Cited alongside, same era.
Brain plasticity related to the consolidation of motor sequence learning and motor adaptation
Debas, K., Carrier, J., Orban, P., Barakat, M., Lungu, O., Vandewalle, G., Tahar, A. H., Bellec, P., Karni, A., and Ungerleider, L. G. (2010) · 2010
Cited alongside, same era.
New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory?
Deng, W., Aimone, J. B., and Gage, F. H. (2010) · 2010
Cited alongside, same era.
Knowledge discovery from data streams
Gama, J. (2010) · 2010
Cited alongside, same era.
He, C., Wang, R., Shan, S., and Chen, X. (2018) · 2018
Later among the works it cites.
Lifelong learning via progressive distillation and retrospection
Hou, S., Pan, X., Change Loy, C., Wang, Z., and Lin, D. (2018) · 2018
Later among the works it cites.
Selective experience replay for lifelong learning
Isele, D. and Cosgun, A. (2018) · 2018
Later among the works it cites.
Neural reactivation in parietal cortex enhances memory for episodically linked information
Jonker, T. R., Dimsdale-Zucker, H., Ritchey, M., Clarke, A., and Ranganath, C. (2018) · 2018
Later among the works it cites.
FearNet: Brain-inspired model for incremental learning
Kemker, R. and Kanan, C. (2018) · 2018
Later among the works it cites.
Measuring catastrophic forgetting in neural networks
Kemker, R., McClure, M., Abitino, A., Hayes, T. L., and Kanan, C. (2018) · 2018
Later among the works it cites.
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Kendall, A., Gal, Y., and Cipolla, R. (2018) · 2018
Later among the works it cites.
How Memory Replay in Sleep Boosts Creative Problem-Solving
Lewis, P. A., Knoblich, G., and Poe, G. (2018) · 2018
Later among the works it cites.
Variational continual learning
Nguyen, C. V., Li, Y., Bui, T. D., and Turner, R. E. (2018) · 2018
Later among the works it cites.
The role of hippocampal replay in memory and planning
Ólafsdóttir, H. F., Bush, D., and Barry, C. (2018) · 2018
Later among the works it cites.
Learn the new, keep the old: Extending pretrained models with new anatomy and images
Ozdemir, F., Fuernstahl, P., and Goksel, O. (2018) · 2018
Later among the works it cites.
Lifelong learning of spatiotemporal representations with dual-memory recurrent self-organization
Parisi, G. I., Tani, J., Weber, C., and Wermter, S. (2018) · 2018
Later among the works it cites.
Online structured laplace approximations for overcoming catastrophic forgetting
Ritter, H., Botev, A., and Barber, D. (2018) · 2018
Later among the works it cites.
Human hippocampal replay during rest prioritizes weakly learned information and predicts memory performance
Schapiro, A. C., McDevitt, E. A., Rogers, T. T., Mednick, S. C., and Norman, K. A. (2018) · 2018
Later among the works it cites.
Overcoming catastrophic forgetting with hard attention to the task
Serra, J., Suris, D., Miron, M., and Karatzoglou, A. (2018) · 2018
Later among the works it cites.
Differential roles of sleep spindles and sleep slow oscillations in memory consolidation
Wei, Y., Krishnan, G. P., Komarov, M., and Bazhenov, M. (2018) · 2018
Later among the works it cites.
Memory replay gans: learning to generate images from new categories without forgetting
Wu, C., Herranz, L., Liu, X., Wang, Y., van de Weijer, J., and Raducanu, B. (2018) · 2018
Later among the works it cites.
Lifelong learning with dynamically expandable networks
Yoon, J., Yang, E., Lee, J., and Hwang, S. J. (2018) · 2018
Later among the works it cites.
Specific hippocampal representations are linked to generalized cortical representations in memory
Yu, J. Y., Liu, D. F., Loback, A., Grossrubatscher, I., and Frank, L. M. (2018) · 2018
Later among the works it cites.
Minimax curriculum learning: Machine teaching with desirable difficulties and scheduled diversity
Zhou, T. and Bilmes, J. (2018) · 2018
Later among the works it cites.
Il2m: Class incremental learning with dual memory
Belouadah, E. and Popescu, A. (2019) · 2019
Later among the works it cites.
Efficient lifelong learning with A-GEM
Chaudhry, A., Ranzato, M., Rohrbach, M., and Elhoseiny, M. (2019) · 2019
Later among the works it cites.
Toward a brain-inspired system: Deep recurrent reinforcement learning for a simulated self-driving agent
Chen, J., Chen, J., Zhang, R., and Hu, X. (2019) · 2019
Later among the works it cites.
Episodic memory in lifelong language learning
de Masson d’Autume, C., Ruder, S., Kong, L., and Yogatama, D. (2019) · 2019
Later among the works it cites.
Learning without memorizing
Dhar, P., Singh, R. V., Peng, K.-C., Wu, Z., and Chellappa, R. (2019) · 2019
Later among the works it cites.
Challenges in task incremental learning for assistive robotics
Feng, F., Chan, R. H., Shi, X., Zhang, Y., and She, Q. (2019) · 2019
Later among the works it cites.
Psycholinguistics meets continual learning: Measuring catastrophic forgetting in visual question answering
Greco, C., Plank, B., Fernández, R., and Bernardi, R. (2019) · 2019
Later among the works it cites.
Memory efficient experience replay for streaming learning
Hayes, T. L., Cahill, N. D., and Kanan, C. (2019) · 2019
Later among the works it cites.
Learning a unified classifier incrementally via rebalancing
Hou, S., Pan, X., Wang, Z., Change Loy, C., and Lin, D. (2019) · 2019
Later among the works it cites.
Teaching multiple concepts to a forgetful learner
Hunziker, A., Chen, Y., Mac Aodha, O., Gomez Rodriguez, M., Krause, A., Perona, P., Yue, Y., and Singla, A. (2019) · 2019
Later among the works it cites.
Recurrent experience replay in distributed reinforcement learning
Kapturowski, S., Ostrovski, G., Dabney, W., Quan, J., and Munos, R. (2019) · 2019
Later among the works it cites.
Overcoming catastrophic forgetting with unlabeled data in the wild
Lee, K., Lee, K., Shin, J., and Lee, H. (2019) · 2019
Later among the works it cites.
Emergent modular neural control drives coordinated motor actions
Lemke, S. M., Ramanathan, D. S., Guo, L., Won, S. J., and Ganguly, K. (2019) · 2019
Later among the works it cites.
Generative models from the perspective of continual learning
Lesort, T., Caselles-Dupré, H., Garcia-Ortiz, M., Stoian, A., and Filliat, D. (2019) · 2019
Later among the works it cites.
Learning to remember: A synaptic plasticity driven framework for continual learning
Ostapenko, O., Puscas, M., Klein, T., Jähnichen, P., and Nabi, M. (2019) · 2019
Later among the works it cites.
Extending pretrained segmentation networks with additional anatomical structures
Ozdemir, F. and Goksel, O. (2019) · 2019
Later among the works it cites.
Continual lifelong learning with neural networks: A review
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., and Wermter, S. (2019) · 2019
Later among the works it cites.
Learning to learn without forgetting by maximizing transfer and minimizing interference
Riemer, M., Cases, I., Ajemian, R., Liu, M., Rish, I., Tu, Y., , and Tesauro, G. (2019) · 2019
Later among the works it cites.
Closed-loop memory gan for continual learning
Rios, A. and Itti, L. (2019) · 2019
Later among the works it cites.
Hippocampal reactivation of random trajectories resembling brownian diffusion
Stella, F., Baracskay, P., O’Neill, J., and Csicsvari, J. (2019) · 2019
Later among the works it cites.
Incremental learning for semantic segmentation of large-scale remote sensing data
Tasar, O., Tarabalka, Y., and Alliez, P. (2019) · 2019
Later among the works it cites.
Learning loss for active learning
Yoo, D. and So Kweon, I. (2019) · 2019
Later among the works it cites.
Conditional channel gated networks for task-aware continual learning
Abati, D., Tomczak, J., Blankevoort, T., Calderara, S., Cucchiara, R., and Bejnordi, B. E. (2020) · 2020
Later among the works it cites.
Rodeo: Replay for online object detection
Acharya, M., Hayes, T. L., and Kanan, C. (2020) · 2020
Later among the works it cites.
Scail: Classifier weights scaling for class incremental learning
Belouadah, E. and Popescu, A. (2020) · 2020
Later among the works it cites.
A comprehensive study of class incremental learning algorithms for visual tasks
Belouadah, E., Popescu, A., and Kanellos, I. (2020) · 2020
Later among the works it cites.
Online learned continual compression with adaptive quantization modules
Caccia, L., Belilovsky, E., Caccia, M., and Pineau, J. (2020) · 2020
Later among the works it cites.
Modeling the background for incremental learning in semantic segmentation
Cermelli, F., Mancini, M., Bulo, S. R., Ricci, E., and Caputo, B. (2020) · 2020
Later among the works it cites.
Online continual learning from imbalanced data
Chrysakis, A. and Moens, M.-F. (2020) · 2020
Later among the works it cites.
Sequential mastery of multiple visual tasks: Networks naturally learn to learn and forget to forget
Davidson, G. and Mozer, M. C. (2020) · 2020
Later among the works it cites.
Podnet: Pooled outputs distillation for small-tasks incremental learning
Douillard, A., Cord, M., Ollion, C., Robert, T., and Valle, E. (2020) · 2020
Later among the works it cites.
Neural ensemble reactivation in rapid eye movement and slow-wave sleep coordinate with muscle activity to promote rapid motor skill learning
Eckert, M., McNaughton, B., and Tatsuno, M. (2020) · 2020
Later among the works it cites.
Sleep prevents catastrophic forgetting in spiking neural networks by forming joint synaptic weight representations
Golden, R., Delanois, J. E., Sanda, P., and Bazhenov, M. (2020) · 2020
Later among the works it cites.
Can sleep protect memories from catastrophic forgetting?
González, O. C., Sokolov, Y., Krishnan, G. P., Delanois, J. E., and Bazhenov, M. (2020) · 2020
Later among the works it cites.
Remind your neural network to prevent catastrophic forgetting
Hayes, T. L., Kafle, K., Shrestha, R., Acharya, M., and Kanan, C. (2020) · 2020
Later among the works it cites.
Incremental learning in online scenario
He, J., Mao, R., Shao, Z., and Zhu, F. (2020) · 2020
Later among the works it cites.
Memory-efficient incremental learning through feature adaptation
Iscen, A., Zhang, J., Lazebnik, S., and Schmid, C. (2020) · 2020
Later among the works it cites.
Imbalanced continual learning with partitioning reservoir sampling
Kim, C. D., Jeong, J., and Kim, G. (2020) · 2020
Later among the works it cites.
Sparse activity of hippocampal adult-born neurons during rem sleep is necessary for memory consolidation
Kumar, D., Koyanagi, I., Carrier-Ruiz, A., Vergara, P., Srinivasan, S., Sugaya, Y., Kasuya, M., Yu, T.-S., Vogt, K. E., Muratani, M., et al. (2020) · 2020
Later among the works it cites.
Continual learning with bayesian neural networks for non-stationary data
Kurle, R., Cseke, B., Klushyn, A., van der Smagt, P., and Günnemann, S. (2020) · 2020
Later among the works it cites.
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
Lesort, T., Lomonaco, V., Stoian, A., Maltoni, D., Filliat, D., and Díaz-Rodríguez, N. (2020) · 2020
Later among the works it cites.
Integration of new information in memory: new insights from a complementary learning systems perspective
McClelland, J. L., McNaughton, B. L., and Lampinen, A. K. (2020) · 2020
Later among the works it cites.
Learning Structures: Predictive Representations, Replay, and Generalization
Momennejad, I. (2020) · 2020
Later among the works it cites.
The content of hippocampal “replay”
Pfeiffer, B. E. (2020) · 2020
Later among the works it cites.
Memories replayed: reactivating past successes and new dilemmas
Robertson, E. M. and Genzel, L. (2020) · 2020
Later among the works it cites.
Toward training recurrent neural networks for lifelong learning
Sodhani, S., Chandar, S., and Bengio, Y. (2020) · 2020
Later among the works it cites.
Which tasks should be learned together in multi-task learning?
Standley, T., Zamir, A., Chen, D., Guibas, L., Malik, J., and Savarese, S. (2020) · 2020
Later among the works it cites.
Topology-preserving class-incremental learning
Tao, X., Chang, X., Hong, X., Wei, X., and Gong, Y. (2020) · 2020
Later among the works it cites.
On the methods for reactivation and replay analysis
Tingley, D. and Peyrache, A. (2020) · 2020
Later among the works it cites.
Functional regularisation for continual learning with gaussian processes
Titsias, M. K., Schwarz, J., de G. Matthews, A. G., Pascanu, R., and Teh, Y. W. (2020) · 2020
Later among the works it cites.
Brain-inspired replay for continual learning with artificial neural networks
van de Ven, G. M., Siegelmann, H. T., and Tolias, A. S. (2020) · 2020
Later among the works it cites.
Continual learning with hypernetworks
von Oswald, J., Henning, C., Sacramento, J., and Grewe, B. F. (2020) · 2020
Later among the works it cites.
The tolman-eichenbaum machine: Unifying space and relational memory through generalization in the hippocampal formation
Whittington, J. C., Muller, T. H., Mark, S., Chen, G., Barry, C., Burgess, N., and Behrens, T. E. (2020) · 2020
Later among the works it cites.
Learning latent representations across multiple data domains using lifelong vaegan
Ye, F. and Bors, A. G. (2020) · 2020
Later among the works it cites.
Maintaining discrimination and fairness in class incremental learning
Zhao, B., Xiao, X., Gan, G., Zhang, B., and Xia, S.-T. (2020) · 2020
Later among the works it cites.
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting
Atkinson, C., McCane, B., Szymanski, L., and Robins, A. (2021) · 2021
Closest in time.
A continual learning survey: Defying forgetting in classification tasks
Delange, M., Aljundi, R., Masana, M., Parisot, S., Jia, X., Leonardis, A., Slabaugh, G., and Tuytelaars, T. (2021) · 2021
Closest in time.
Bidirectional interaction of hippocampal ripples and cortical slow waves leads to coordinated spiking activity during nrem sleep
Sanda, P., Malerba, P., Jiang, X., Krishnan, G. P., Gonzalez-Martinez, J., Halgren, E., and Bazhenov, M. (2021) · 2021
Closest in time.
A survey on multi-task learning
Zhang, Y. and Yang, Q. (2021) · 2021
Closest in time.
Communication between neocortex and hippocampus during sleep in rodents
Sirota, A., Csicsvari, J., Buhl, D., and Buzsáki, G. (2003) · 2069
Closest in time.
Deep reinforcement learning with double q-learning
Van Hasselt, H., Guez, A., and Silver, D. (2016) · 2094
Closest in time.