Results 131 to 140 of about 15,121 (239)

TACOS: Task Agnostic Continual Learning in Spiking Neural Networks [PDF]

arXiv
Catastrophic interference, the loss of previously learned information when learning new information, remains a major challenge in machine learning. Since living organisms do not seem to suffer from this problem, researchers have taken inspiration from biology to improve memory retention in artificial intelligence systems.
arxiv  

The K‐ras mutation pattern in pancreatic ductal adenocarcinoma usually is identical to that in associated normal, hyperplastic, and metaplastic ductal epithelium

, 1999
Jütta Lüttges, B. Schlehe, Martin A. O. H. Menke, Ilka Vogel, Doris Henne‐Bruns, Günter Klöppel   +5 more
openalex   +1 more source

Cytokeratin expression and epithelial differentiation in Warthin’s tumour and its metaplastic (infarcted) variant [PDF]

, 2001
Michael J. Schwerer, K. Kraft, K. Baczako, H. Maier   +3 more
openalex   +1 more source

Importance of the brain corticosteroid receptor balance in metaplasticity, cognitive performance and neuro-inflammation

Frontiers in neuroendocrinology (Print), 2018
E. R. Kloet, Onno C. Meijer, A. F. D. Nicola, R. D. Rijk, Marian Joëls   +4 more
semanticscholar   +1 more source

Stress: metaplastic effects in the hippocampus

, 1998
Jeansok J. Kim, Kenneth S. Yoon
openalex   +1 more source

Cell Lineage Specificity of Newly Raised Monoclonal Antibodies Against Gastric Mucins in Normal, Metaplastic, and Neoplastic Human Tissues and Their Application to Pathology Diagnosis [PDF]

, 2001
Hiroyoshi Ota, Masayoshi Hayama, Jun Nakayama, Hiroya Hidaka, Takayuki Honda, Keiko Ishii, Mana Fukushima, Takeshi Uehara, Makoto Kurihara, Kazuhíko Ishihara, Kyoko Hotta, Tsutomu Katsuyama   +11 more
openalex   +1 more source

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks [PDF]

arXiv
Neuromorphic computing with spiking neural networks is promising for energy-efficient artificial intelligence (AI) applications. However, different from humans who continually learn different tasks in a lifetime, neural network models suffer from catastrophic forgetting.
arxiv  

Sarcoma and Sarcomatous Metaplastic Carcinoma of the Breast [PDF]

, 2001
Sang Han Yu, Woo Chul Noh, Ho Yoon Bang, Dae–Yong Hwang, Dong Wook Choi, Jong Inn Lee, Nam Sun Paik, Nan Mo Moon, Jin Haeng Jung   +8 more
openalex   +1 more source

Continual Learning for Autonomous Robots: A Prototype-based Approach [PDF]

arXiv
Humans and animals learn throughout their lives from limited amounts of sensed data, both with and without supervision. Autonomous, intelligent robots of the future are often expected to do the same. The existing continual learning (CL) methods are usually not directly applicable to robotic settings: they typically require buffering and a balanced ...
arxiv  

“Silent” Metaplasticity of the Late Phase of Long-Term Potentiation Requires Protein Phosphatases [PDF]

, 2002
Newton H. Woo, Peter Nguyen
openalex   +1 more source