Results 21 to 30 of about 179,183 (295)
What Does BERT Look at? An Analysis of BERT’s Attention [PDF]
BlackBoxNLP ...
Kevin Clark +3 more
openaire +3 more sources
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
There is an increasing amount of literature that claims the brittleness of deep neural networks in dealing with adversarial examples that are created maliciously. It is unclear, however, how the models will perform in realistic scenarios where \textit{natural rather than malicious} adversarial instances often exist.
Lichao Sun 0001 +6 more
openaire +3 more sources
BERT-LID: Leveraging BERT to Improve Spoken Language Identification
Language identification is the task of automatically determining the identity of a language conveyed by a spoken segment. It has a profound impact on the multilingual interoperability of an intelligent speech system.
Wei-Qiang Zhang (553877) +11 more
core +1 more source
The extensive surviving corpus of the ancient scholar Plutarch of Chaeronea (ca. 45-120 CE) also contains several texts which, according to current scholarly opinion, did not originate with him and are therefore attributed to an anonymous author Pseudo-Plutarch.
Ivan P. Yamshchikov +4 more
openaire +4 more sources
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing [PDF]
EMNLP ...
Canwen Xu +4 more
openaire +2 more sources
A Physics-Informed Modeling of Data Center Cooling and Self-Supervised Learning-Based Autoencoder for Fault Detection and Diagnosis [PDF]
Effective Fault Detection and Diagnosis (FDD) is crucial for data center energy efficiency but often struggles with labeled data scarcity. We propose the Physics-Informed Spatio-Temporal Graph (PI-STG) framework, a two-stage self-supervised approach ...
Bonyani Mahdi +2 more
doaj +1 more source
Catchment-scale dissolved carbon concentrations and export estimates across six subarctic streams in northern Sweden [PDF]
Climatic change is currently enhancing permafrost thawing and the flow of water through the landscape in subarctic and arctic catchments, with major consequences for the carbon export to aquatic ecosystems.
R. Giesler +7 more
doaj +1 more source
Multi-mode deep auto-encoder recommendation model for fusion of text information
A new recommendation model is proposed to solve the problems of data sparsity and deep semantic information learning when using score information as auxiliary recommendation.
Jinguang CHEN, Xinyi XU, Ganglong FAN
doaj +1 more source
The fine-tuned models necessary to run BERT-PSIE for the two extraction tasks explored in the paper, namely the automatic extraction of Curie temperatures and band gaps. You can find the full paper at: https://arxiv.org/abs/2301.11689 The code necessary
Matteo Cobelli (16435785)
core +1 more source
VD-BERT: A Unified Vision and Dialog Transformer with BERT [PDF]
Visual dialog is a challenging vision-language task, where a dialog agent needs to answer a series of questions through reasoning on the image content and dialog history. Prior work has mostly focused on various attention mechanisms to model such intricate interactions.
Yue Wang 0034 +5 more
openaire +3 more sources

