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PRESENTATION ABSTRACTÂ An important goal of the field sensorimotor robot learning is to do away with cumbersome expertise-intensive task specification, so that general-purpose robots of the future might learn large […]
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PRESENTATION ABSTRACT Many regression and classification procedures fit a function f(x;w) of predictor variables x to data 〖{x_i,y_i}〗_1^N based on some loss criterion L(y,f(x;w)). Often, regularization is applied to improve […] |
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PRESENTATION ABSTRACT The training data that modern machine learning models ingest has a major impact on these models’ performance (as well as failures). Yet, this impact tends to be neither […] |
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PRESENTATION ABSTRACTÂ In this new era of deep learning, the emergent algorithmic reasoning capabilities of Transformer models have led to significant advancements in natural language processing, program synthesis, and theorem […] |
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Presentation Abstract: Scientific discoveries, fueled by data collected during the course of care, are promising to radically change how we think about health, disease, prevention and treatment. However, the very […] |
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PRESENTATION ABSTRACTÂ Neurosymbolic programming (NSP) is an emerging area of computing that bridges the fields of deep learning and program synthesis. Like in classical machine learning, the goal here is […] |
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