I. Padhi

Publications30
h-index11
Citations1,151
Highly Influential Citations46
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Does String-Based Neural MT Learn Source Syntax?
TLDR
We investigate whether a neural, encoderdecoder translation system learns syntactic information on the source side as a by-product of training. Expand
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Serum sclerostin levels negatively correlate with parathyroid hormone levels and free estrogen index in postmenopausal women.
CONTEXT Sclerostin is a negative regulator of bone formation. OBJECTIVE The aim of the study was to compare serum sclerostin levels in premenopausal and postmenopausal women and evaluate its… Expand
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Torsades de Pointes associated with intravenous haloperidol in critically ill patients.
In this retrospective case-control study, 8 of 223 consecutive patients (3.6%) treated with intravenous haloperidol developed torsades de pointes, and were compared with 41 patients randomly selected… Expand
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Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
TLDR
We propose a new method for training encoder-decoders using non-parallel data that combines a collaborative classifier, attention and the cycle consistency loss that outperforms a state-of-the-art text style transfer system in two out of three quantitative metrics. Expand
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Characterization of gentamicin pharmacokinetics in patients hemodialyzed with high-flux polysulfone membranes.
To characterize the pharmacokinetics of gentamicin during and after hemodialysis (using polysulfone Fresenius F-80 membranes (Fresenius USA, Inc, Walnut Creek, CA), surface area 1.6 m(2)), eight… Expand
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A randomized, double-blind comparison of intravenous diltiazem and digoxin for atrial fibrillation after coronary artery bypass surgery.
BACKGROUND Atrial fibrillation (AF) after coronary bypass graft surgery may result in hypotension, heart failure symptoms, embolic complications, and prolongation in length of hospital stay (LOHS).… Expand
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Improved Neural Text Attribute Transfer with Non-parallel Data
TLDR
We propose a novel algorithm for text attribute transfer with non-parallel corpora based on the encoder-decoder architecture with attention, augmented with the collaborative classifier and a set of content preservation losses. Expand
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Learning Implicit Generative Models by Matching Perceptual Features
TLDR
We propose a new effective MM approach that learns implicit generative models by performing mean and covariance matching of features extracted from pretrained convolutional layers of pretrained ConvNets. Expand
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PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
TLDR
We report a peptide generation framework PepCVAE, based on a semi-supervised variational autoencoder (VAE) model, for designing novel antimicrobial peptide (AMP) sequences. Expand
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Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
TLDR
We introduce GYC, a framework to generate counterfactual text samples such that the generation is plausible, diverse, goal-oriented, and effective. Expand
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