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Found 12 papers, 4 papers with code
TATL at WNUT-2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets
As the COVID-19 outbreak continues to spread throughout the world, more and more information about the pandemic has been shared publicly on social media.
Revisiting Reverse Distillation for Anomaly Detection
In this paper, we revisit this idea to improve its performance, establishing a new state-of-the-art benchmark on the challenging MVTec dataset for both anomaly detection and localization.
Ranked #2 on
Anomaly Detection
on MVTEC AD textures
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines.
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
This enables the implementation of the neuroprosthetic hand as a portable and self-contained unit with real-time control of individual finger movements.
Fast Word Predictor for On-Device Application
Learning on large text corpora, deep neural networks achieve promising results in the next word prediction task.
A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese
We compare the two baselines with key configurations and find that: automatic Vietnamese word segmentation improves the parsing results of both baselines; the normalized pointwise mutual information (NPMI) score (Bouma, 2009) is useful for schema linking; latent syntactic features extracted from a neural dependency parser for Vietnamese also improve the results; and the monolingual language model PhoBERT for Vietnamese (Nguyen and Nguyen, 2020) helps produce higher performances than the recent best multilingual language model XLM-R (Conneau et al., 2020).
TATL at W-NUT 2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets
As the COVID-19 outbreak continues to spread throughout the world, more and more information about the pandemic has been shared publicly on social media.
BERTweet: A pre-trained language model for English Tweets
We present BERTweet, the first public large-scale pre-trained language model for English Tweets.
Ranked #1 on
Sentiment Analysis
on TweetEval
PhoBERT: Pre-trained language models for Vietnamese
We present PhoBERT with two versions, PhoBERT-base and PhoBERT-large, the first public large-scale monolingual language models pre-trained for Vietnamese.
A Bio-inspired Redundant Sensing Architecture
However, this upper bound is hard to achieve in many man-made systems.
Advancing System Performance with Redundancy: From Biological to Artificial Designs
We envision that our theory would provide a framework for the future development of bio-inspired redundant artificial systems as well as assist the studies of the fundamental mechanisms governing various biological processes.
Duplicate Bug Report Detection With a Combination of Information Retrieval and Topic Modeling
Detecting duplicate bug reports helps reduce triaging efforts and save time for developers in fixing the same issues.
