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\section{Introduction}
\noindent The classical linear-time / branching-time
spectrum~\cite{Glabbeek90} organizes a plethora of notions of
behavioural equivalence on labelled transition systems at var | ious
levels of granularity ranging from (strong) bisimilarity to trace
equivalence. Similar spectra appear in other system types, e.g.~on
probabilistic systems, again ranging from branching-time equivalence
such as probabilistic bisimilarity to linear-time ones such as
probabilistic trace equivalence~\cite{JouSmolka90}... |
\section{Evaluation}\label{sec:evaluation}
\begin{table}[t]
\centering
\begin{tabular}{|c|c|c|c|}
\hline
Model & \shortstack{Accuracy\\ on clean} & \shortstack{backdoor \\succes | s rate} & \shortstack{Discriminator \\Detection Rate}\\ \hline
Non-Trojaned model & {\pmb{$99.3\%$}} & - & $100\%$ \\ \hline
Trojaned model & $91.92\%$ & $81.06\%$ & $96.3\%$\\ \hline
\shortstack{ Trojaned model with\\ Knowledge Distillation} & $98.74\%$ & $87.39\%$ & $99.40\%$\\ \hline
Our approach ... |
\section{Introduction}
Interdisciplinary approaches are common in science and technology, and their importance in pedagogy cannot be overstated. Williams et al.~\cite{williams2003aren } analyse the r | easons why many high school students do not find physics interesting and suggest that an interdisciplinary approach might enhance students' interests in physics. A new idea can be better appreciated by the students when they interpret it in terms of the known concepts bearing no apparent connections with the new topic.... |
\section{Introduction}
Attention is a technique for selecting a focused location and enhancing different representations of objects at that location. Inspired by the major success of transformer ar | chitectures in the field of natural language processing, researchers have recently applied attention techniques to computer vision tasks, such as
image classification \cite{zhao2020exploring, dosovitskiy2020image},
object detection \cite{carion2020end},
semantic segmentation \cite{xie2021segformer},
video unde... |
"\\section{Related Work}\n\\label{sec:related_work}\n\\textbf{Hybrid networks.} The idea originated (...TRUNCATED) | " initial layers of ResNet \\cite{he2016resNet} and Wide ResNet \\cite{zagoruyko2016wrn} with a scat(...TRUNCATED) |
"\\section{INTRODUCTION}\n\nShipping containers revolutionized the transportation of goods across th(...TRUNCATED) | "y had to stay for weeks in the port at a time. Thanks to containerization, the productivity and eff(...TRUNCATED) |
"\\section{Introduction}\n\nThe Potts model is a statistical model, originally invented to study fer(...TRUNCATED) | " science, see e.g.~\\cite{Sokaltutte} for background. \n\nLet $G = (V,E)$ be a finite graph. The an(...TRUNCATED) |
"\\section{Introduction}\n\\label{sec:intro}\n\nHigh-mass stars are preferentially found in binary a(...TRUNCATED) | " orbital periods. They are also bright so are over-represented in magnitude-limited samples. As a r(...TRUNCATED) |
"\\section{Introduction} \\label{introduction}\nImitation learning (IL) empowers non-experts to trai(...TRUNCATED) | "tic technologies in the home and workplace, but IL methods often require large amounts of supervise(...TRUNCATED) |
"\\section{Introduction}\n\\label{sec_theory}\n\nPulsar-timing arrays (PTA) offer a promising tool f(...TRUNCATED) | "zhin:OO,Detweiler:1979wn,Mashhoon:1979wk,Bertotti:1980pg}, and much developed thereafter -- see e.(...TRUNCATED) |
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