Results 41 to 50 of about 271,594 (275)
Personalizing Dialogue Agents via Meta-Learning
, 2019 Existing personalized dialogue models use human designed persona descriptions to improve dialogue consistency. Collecting such descriptions from existing dialogues is expensive and requires hand-crafted feature designs.
Fung, Pascale +3 more
core +1 more source
Meta Learning for Causal Direction
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 The inaccessibility of controlled randomized trials due to inherent constraints in many fields of science has been a fundamental issue in causal inference. In this paper, we focus on distinguishing the cause from effect in the bivariate setting under limited observational data.
Ton, J-F, Sejdinovic, D, Fukumizu, K
openaire +3 more sources
Overview of molecular signatures of senescence and associated resources: pros and cons
FEBS Open Bio, EarlyView.Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
BMC Health Services ResearchBackground Since the inception of the ASHAs in the year 2005, their work horizons have increased from Reproductive, Maternal, Newborn, Child, and Adolescent health (RMNCH + A), Communicable and Non-Communicable Diseases (CD & NCD) to oral health ...
Shambhavi Singh +7 more
doaj +1 more source
BMJ OpenObjectives This study aims to examine the prevalence of comparisons of surgery to drug regimens, the strength of evidence of such comparisons and whether surgery or the drug intervention was favoured.Design Systematic review of systematic reviews ...
Ewoud Schuit +5 more
doaj +1 more source
Few Shot Class Incremental Learning via Efficient Prototype Replay and Calibration
Entropy, 2023 Few shot class incremental learning (FSCIL) is an extremely challenging but valuable problem in real-world applications. When faced with novel few shot tasks in each incremental stage, it should take into account both catastrophic forgetting of old ...
Wei Zhang, Xiaodong Gu
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel +8 more
wiley +1 more source
IEEE AccessIntegrating knowledge across different domains is an essential feature of human learning. Learning paradigms such as transfer learning, meta-learning, and multi-task learning reflect the human learning process by exploiting the prior knowledge for new ...
Richa Upadhyay +3 more
doaj +1 more source
Remote Sensing, 2021 The central goal of few-shot scene classification is to learn a model that can generalize well to a novel scene category (UNSEEN) from only one or a few labeled examples.
Pei Zhang +4 more
doaj +1 more source
Meta Reinforcement Learning with Latent Variable Gaussian Processes [PDF]
, 2018 Learning from small data sets is critical in many practical applications where data collection is time consuming or expensive, e.g., robotics, animal experiments or drug design.
Deisenroth, Marc Peter +2 more
core +2 more sources