Results 31 to 40 of about 363 (105)
CDA: a Cost Efficient Content-based Multilingual Web Document Aligner [PDF]
EACL 2021, 2021 We introduce a Content-based Document Alignment approach (CDA), an efficient method to align multilingual web documents based on content in creating parallel training data for machine translation (MT) systems operating at the industrial level. CDA works in two steps: (i) projecting documents of a web domain to a shared multilingual space; then (ii ...
arxiv
Accelerating and enabling convergence of nonlinear solvers for Navier-Stokes equations by continuous data assimilation [PDF]
arXiv, 2023 This paper considers improving the Picard and Newton iterative solvers for the Navier-Stokes equations in the setting where data measurements or solution observations are available. We construct adapted iterations that use continuous data assimilation (CDA) style nudging to incorporate the known solution data into the solvers.
arxiv
Delving into the Continuous Domain Adaptation [PDF]
, 2022 Existing domain adaptation methods assume that domain discrepancies are caused by a few discrete attributes and variations, e.g., art, real, painting, quickdraw, etc. We argue that this is not realistic as it is implausible to define the real-world datasets using a few discrete attributes.
arxiv +1 more source
, 2010 Oxidatively generated damage to DNA frequently appears in the human genome as an effect of aerobic metabolism or as the result of exposure to exogenous oxidizing agents.
B. Karwowski
semanticscholar +1 more source
Radical-induced purine lesion formation is dependent on DNA helical topology
Free radical research, 2016 Herein we report the quantification of purine lesions arising from gamma-radiation sourced hydroxyl radicals (HO•) on tertiary dsDNA helical forms of supercoiled (SC), open circular (OC), and linear (L) conformation, along with single-stranded folded and
Michael A. Terzidis +8 more
semanticscholar +1 more source
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition [PDF]
arXiv, 2021 Despite impressive accuracy, deep neural networks are often miscalibrated and tend to overly confident predictions. Recent techniques like temperature scaling (TS) and label smoothing (LS) show effectiveness in obtaining a well-calibrated model by smoothing logits and hard labels with scalar factors, respectively.
arxiv
, 2010 Oxidatively generated damage to DNA frequently appears in the human genome as an effect of aerobic metabolism or as the result of exposure to exogenous oxidizing agents.
B. Karwowski
semanticscholar +1 more source
Continuous and Discrete Data Assimilation with Noisy Observations for the Rayleigh-Benard Convection: A Computational Study [PDF]
arXiv, 2022 Obtaining accurate high-resolution representations of model outputs is essential to describe the system dynamics. In general, however, only spatially- and temporally-coarse observations of the system states are available. These observations can also be corrupted by noise.
arxiv
Making a (Counterfactual) Difference One Rationale at a Time [PDF]
Advances in Neural Information Processing Systems 2021, 2022 Rationales, snippets of extracted text that explain an inference, have emerged as a popular framework for interpretable natural language processing (NLP). Rationale models typically consist of two cooperating modules: a selector and a classifier with the goal of maximizing the mutual information (MMI) between the "selected" text and the document label.
arxiv
Chemical Research in Toxicology, 2012 Cellular respiration and ionizing radiation generate 5',8-cyclo-2'-deoxyribonucleosides, a special type of DNA damage that involves two modifications in the same nucleotide.
Tatiana Zaliznyak +2 more
semanticscholar +1 more source