Results 11 to 20 of about 1,492,877 (359)
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias [PDF]
Neural Information Processing Systems, 2023 Large language models (LLMs) have been recently leveraged as training data generators for various natural language processing (NLP) tasks. While previous research has explored different approaches to training models using generated data, they generally ...
Yue Yu +7 more
semanticscholar +1 more source
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism [PDF]
IEEE Transactions on Information Theory, 2021 Offline reinforcement learning (RL) algorithms seek to learn an optimal policy from a fixed dataset without active data collection. Based on the composition of the offline dataset, two main methods are used: imitation learning which is suitable for ...
Paria Rashidinejad +4 more
semanticscholar +1 more source
TryOnDiffusion: A Tale of Two UNets [PDF]
Computer Vision and Pattern Recognition, 2023 Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person.
Luyang Zhu +7 more
semanticscholar +1 more source
Mucor in a Viral Land: A Tale of Two Pathogens
Indian Journal of Ophthalmology, 2021 Purpose: COVID-19 infection, its treatment, resultant immunosuppression, and pre-existing comorbidities have made patients vulnerable to secondary infections including mucormycosis.
M. Sen +4 more
semanticscholar +1 more source
Engineering TALE-linked deaminases to facilitate precision adenine base editing in mitochondrial DNA
bioRxiv, 2023 DddA-derived cytosine base editors (DdCBEs) and transcription activator-like effector (TALE)-linked deaminases (TALEDs) catalyze targeted base editing of mitochondrial DNA (mtDNA) in eukaryotic cells, a method useful for modeling of mitochondrial genetic
Sung-Ik Cho +18 more
semanticscholar +1 more source
Does learning require memorization? a short tale about a long tail [PDF]
Symposium on the Theory of Computing, 2019 State-of-the-art results on image recognition tasks are achieved using over-parameterized learning algorithms that (nearly) perfectly fit the training set and are known to fit well even random labels.
V. Feldman
semanticscholar +1 more source
American Journal of the Medical Sciences, 2023 This paper outlines case study developments in relation to new learning environments in two universities in Hong Kong, with an emphasis on the context behind these changes, the changes involved, and the mechanisms employed for informing and guiding these
J. Schumacher +3 more
semanticscholar +1 more source
Mitochondrial DNA editing in mice with DddA-TALE fusion deaminases
Nature Communications, 2021 DddA-derived cytosine base editors (DdCBEs), composed of the split interbacterial toxin DddAtox, transcription activator-like effector (TALE), and uracil glycosylase inhibitor (UGI), enable targeted C-to-T base conversions in mitochondrial DNA (mtDNA ...
Hyunji Lee +6 more
semanticscholar +1 more source
Bringing the Outside World In: Using Mixed Panel Assessment of Oral Presentations with Electrical and Electronic Engineering Students [PDF]
, 2016 Engineering students have been portrayed as having poor oral communication skills despite oral communication competence being a key factor in future career success.
Bolster, Averil +2 more
core +1 more source
DNA Damage and Cancer Immunotherapy: a STING in the Tale.
Molecules and Cells, 2020 Cancer immunotherapies enhance anti-tumor immune responses using checkpoint inhibitors, such as PD-1 or PD-L1 inhibitors. Recent studies, however, have extended the scope of immunotherapeutics by unveiling DNA damage-induced innate immunity as a novel ...
T. Reisländer +2 more
semanticscholar +1 more source