User profiles for Matthew Gardner

Matt Gardner

- Verified email at scaledcognition.com - Cited by 26028

Matthew Gardner

- Verified email at utdallas.edu - Cited by 1182

AAV-expressed eCD4-Ig provides durable protection from multiple SHIV challenges

MR Gardner, LM Kattenhorn, HR Kondur… - Nature, 2015 - nature.com
Long-term in vivo expression of a broad and potent entry inhibitor could circumvent the
need for a conventional vaccine for HIV-1. Adeno-associated virus (AAV) vectors can stably …

Wide bandgap devices in AC electric drives: Opportunities and challenges

AK Morya, MC Gardner, B Anvari, L Liu… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Wide bandgap (WBG) device-based power electronics converters are more efficient and
lightweight than silicon-based converters. WBG devices are an enabling technology for many …

Envelope residue 375 substitutions in simian–human immunodeficiency viruses enhance CD4 binding and replication in rhesus macaques

…, GY Chuang, J Gorman, M Gardner… - Proceedings of the …, 2016 - National Acad Sciences
Most simian–human immunodeficiency viruses (SHIVs) bearing envelope (Env) glycoproteins
from primary HIV-1 strains fail to infect rhesus macaques (RMs). We hypothesized that …

Associating HIV-1 envelope glycoprotein structures with states on the virus observed by smFRET

…, K Wang, JR Grover, BP Carman, MR Gardner… - Nature, 2019 - nature.com
The HIV-1 envelope glycoprotein (Env) trimer mediates cell entry and is conformationally
dynamic 1 , 2 , 3 , 4 , 5 , 6 , 7 – 8 . Imaging by single-molecule fluorescence resonance energy …

Allennlp: A deep semantic natural language processing platform

M Gardner, J Grus, M Neumann, O Tafjord… - arXiv preprint arXiv …, 2018 - arxiv.org
This paper describes AllenNLP, a platform for research on deep learning methods in natural
language understanding. AllenNLP is designed to support researchers who want to build …

Linguistic knowledge and transferability of contextual representations

NF Liu, M Gardner, Y Belinkov, ME Peters… - arXiv preprint arXiv …, 2019 - arxiv.org
Contextual word representations derived from large-scale neural language models are
successful across a diverse set of NLP tasks, suggesting that they encode useful and …

DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs

…, P Dasigi, G Stanovsky, S Singh, M Gardner - arXiv preprint arXiv …, 2019 - arxiv.org
Reading comprehension has recently seen rapid progress, with systems matching humans
on the most popular datasets for the task. However, a large body of work has highlighted the …

Universal adversarial triggers for attacking and analyzing NLP

E Wallace, S Feng, N Kandpal, M Gardner… - arXiv preprint arXiv …, 2019 - arxiv.org
Adversarial examples highlight model vulnerabilities and are useful for evaluation and
interpretation. We define universal adversarial triggers: input-agnostic sequences of tokens that …

Documenting large webtext corpora: A case study on the colossal clean crawled corpus

…, D Groeneveld, M Mitchell, M Gardner - arXiv preprint arXiv …, 2021 - arxiv.org
Large language models have led to remarkable progress on many NLP tasks, and researchers
are turning to ever-larger text corpora to train them. Some of the largest corpora available …

Simple and effective multi-paragraph reading comprehension

C Clark, M Gardner - arXiv preprint arXiv:1710.10723, 2017 - arxiv.org
We consider the problem of adapting neural paragraph-level question answering models to
the case where entire documents are given as input. Our proposed solution trains models to …