Attention Mechanism in Language Understanding and its ApplicationsArtifacia
This is the presentation from our AI Meet March 2017 on Attention Mechanism in Language Understanding and its Applications.
You can join Artifacia AI Meet Bangalore Group: https://www.meetup.com/Artifacia-AI-Meet/
Brief introduction on attention mechanism and its application in neural machine translation, especially in transformer, where attention was used to remove RNNs completely from NMT.
Compiler for Zero-Knowledge Proof-of-Knowledge ProtocolsThomas Briner
Zero-Knowledge Proof-of-Knowledge protocols are of particular interest for
authentication systems as developed for example in the IBM research laboratory in
Zurich. There is an arbitrary number of protocol instances that vary in terms of
protocol structure, additional restrictions on the preimages of the
homomorphisms, but also regarding the homomorphisms and groups itself that are
used. Depending on the concrete instance these protocols have
certain properties that might be useful for such systems.
The generation of a complete protocol instance for reasons of specification or
testing is a very time-consuming and error prone piece of work. Therefore this
process should be automated by the compiler that was developed during this diploma
thesis.
For this purpose an input language was created that allows to specify instances
of a certain protocol type and to add additional
types of checks using some auxiliary parameters. The user has the choice between
different levels of abstraction in specifying a certain protocol instance.
The compiler itself is written in java and is based on the traditional
object-oriented compiler design patterns. It contains in its library the basic skeleton of the
well-known Sigma protocol and of the 2Sigma protocol that was developed in the
research lab.
The compiler reads the input files with the protocol specifications written in
the input language mentioned above and checks for syntactical
correctness. Furthermore some semantic checks on the proper use of the protocol
parameters are performed. From these informations the compiler generates the
protocol instance either written as latex code or as java source code. The
latex code shows the detailed specification of the protocol instance consisting
of the documentation of the involved algebraic elements,
the facts that can be deduced in case of acceptance of the proof and all the steps performed during the
protocol execution. In case of java code generation it produces runnable java source code.
This code is based on an interface hierarchy that was developed during this
diploma thesis as well. At runtime the protocol instance has to be instantiated
with concrete implementations and can then be used for example for testing
reasons.
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - V [Network Security] (Revised Course). [Year - October / 2012] . . . Solution Set of this Paper is Coming soon . . .
Attention Mechanism in Language Understanding and its ApplicationsArtifacia
This is the presentation from our AI Meet March 2017 on Attention Mechanism in Language Understanding and its Applications.
You can join Artifacia AI Meet Bangalore Group: https://www.meetup.com/Artifacia-AI-Meet/
Brief introduction on attention mechanism and its application in neural machine translation, especially in transformer, where attention was used to remove RNNs completely from NMT.
Compiler for Zero-Knowledge Proof-of-Knowledge ProtocolsThomas Briner
Zero-Knowledge Proof-of-Knowledge protocols are of particular interest for
authentication systems as developed for example in the IBM research laboratory in
Zurich. There is an arbitrary number of protocol instances that vary in terms of
protocol structure, additional restrictions on the preimages of the
homomorphisms, but also regarding the homomorphisms and groups itself that are
used. Depending on the concrete instance these protocols have
certain properties that might be useful for such systems.
The generation of a complete protocol instance for reasons of specification or
testing is a very time-consuming and error prone piece of work. Therefore this
process should be automated by the compiler that was developed during this diploma
thesis.
For this purpose an input language was created that allows to specify instances
of a certain protocol type and to add additional
types of checks using some auxiliary parameters. The user has the choice between
different levels of abstraction in specifying a certain protocol instance.
The compiler itself is written in java and is based on the traditional
object-oriented compiler design patterns. It contains in its library the basic skeleton of the
well-known Sigma protocol and of the 2Sigma protocol that was developed in the
research lab.
The compiler reads the input files with the protocol specifications written in
the input language mentioned above and checks for syntactical
correctness. Furthermore some semantic checks on the proper use of the protocol
parameters are performed. From these informations the compiler generates the
protocol instance either written as latex code or as java source code. The
latex code shows the detailed specification of the protocol instance consisting
of the documentation of the involved algebraic elements,
the facts that can be deduced in case of acceptance of the proof and all the steps performed during the
protocol execution. In case of java code generation it produces runnable java source code.
This code is based on an interface hierarchy that was developed during this
diploma thesis as well. At runtime the protocol instance has to be instantiated
with concrete implementations and can then be used for example for testing
reasons.
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - V [Network Security] (Revised Course). [Year - October / 2012] . . . Solution Set of this Paper is Coming soon . . .
Transformer modality is an established architecture in natural language processing that utilizes a framework of self-attention with a deep learning approach.
This presentation was delivered under the mentorship of Mr. Mukunthan Tharmakulasingam (University of Surrey, UK), as a part of the ScholarX program from Sustainable Education Foundation.
Moving to neural machine translation at google - gopro-meetupChester Chen
Main Talk: Google's Neural Machine Translation System and Research progress
Abstract: Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based translation systems. In this talk, I will talk about the model architecture, word-pieces design, training algorithm and how to make training/serving faster. Possibly I will mention about the zero-shot for Multilingual model as well. Also, I will cover what/how translation research makes continuous progress from last year.
Speaker:Xiaobing Liu
Xiaobing Liu is Google Brain Staff software engineer and machine learning researcher. In his work, Xiaobing focuses on Tensorflow and some key applications where Tensorflow could be applied to improve Google products, such as Google Search, Play recommendation and Google translation and Medical Brain. His research interests span from system to the practice of machine learning. His research contributions have been successfully implemented into various commercial products at Tencent, Yahoo. and Google He has served in the program committee for ACL 2017 and session chair for AAAI 2017, including publications at top conference such as Recsys, NIPS, ACL.
最近のNLP×DeepLearningのベースになっている"Transformer"について、研究室の勉強会用に作成した資料です。参考資料の引用など正確を期したつもりですが、誤りがあれば指摘お願い致します。
This is a material for the lab seminar about "Transformer", which is the base of recent NLP x Deep Learning research.
The slide talks about the aspect in binding and scope that programmer of modern language might not be fully aware, but good to know nontheless. Concept of scope and binding makes some programming language special case behavior more explainable and rememberable.
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - V [Network Security] (75:25 Pattern ). [Year - November / 2014] . . . Solution Set of this Paper is Coming soon . . .
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - V [Network Security] (75:25 Pattern). [Year - November / 2014] . . . Solution Set of this Paper is Coming soon . . .
Language Interaction and Quality Issues: An Exploratory StudyMarco Torchiano
Most software systems are complex and composed of a large number of artifacts. To realize each different artifact specific techniques are used resorting to different abstractions, languages and tools. Successful composition of different elements requires coherence among them. Unfortunately constraints between artifacts written in different languages are usually not formally expressed nor checked by supporting tools; as a consequence they can be a source of problems. In this paper we explore the role of the relations between artifacts written in different languages by means of a case study on the Hadoop open source project. We present the problem introducing its terminology, we quantify the phenomenon and investigate its relation with defect proneness.
Transformer modality is an established architecture in natural language processing that utilizes a framework of self-attention with a deep learning approach.
This presentation was delivered under the mentorship of Mr. Mukunthan Tharmakulasingam (University of Surrey, UK), as a part of the ScholarX program from Sustainable Education Foundation.
Moving to neural machine translation at google - gopro-meetupChester Chen
Main Talk: Google's Neural Machine Translation System and Research progress
Abstract: Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based translation systems. In this talk, I will talk about the model architecture, word-pieces design, training algorithm and how to make training/serving faster. Possibly I will mention about the zero-shot for Multilingual model as well. Also, I will cover what/how translation research makes continuous progress from last year.
Speaker:Xiaobing Liu
Xiaobing Liu is Google Brain Staff software engineer and machine learning researcher. In his work, Xiaobing focuses on Tensorflow and some key applications where Tensorflow could be applied to improve Google products, such as Google Search, Play recommendation and Google translation and Medical Brain. His research interests span from system to the practice of machine learning. His research contributions have been successfully implemented into various commercial products at Tencent, Yahoo. and Google He has served in the program committee for ACL 2017 and session chair for AAAI 2017, including publications at top conference such as Recsys, NIPS, ACL.
最近のNLP×DeepLearningのベースになっている"Transformer"について、研究室の勉強会用に作成した資料です。参考資料の引用など正確を期したつもりですが、誤りがあれば指摘お願い致します。
This is a material for the lab seminar about "Transformer", which is the base of recent NLP x Deep Learning research.
The slide talks about the aspect in binding and scope that programmer of modern language might not be fully aware, but good to know nontheless. Concept of scope and binding makes some programming language special case behavior more explainable and rememberable.
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - V [Network Security] (75:25 Pattern ). [Year - November / 2014] . . . Solution Set of this Paper is Coming soon . . .
This is a Question Papers of Mumbai University for B.Sc.IT Student of Semester - V [Network Security] (75:25 Pattern). [Year - November / 2014] . . . Solution Set of this Paper is Coming soon . . .
Language Interaction and Quality Issues: An Exploratory StudyMarco Torchiano
Most software systems are complex and composed of a large number of artifacts. To realize each different artifact specific techniques are used resorting to different abstractions, languages and tools. Successful composition of different elements requires coherence among them. Unfortunately constraints between artifacts written in different languages are usually not formally expressed nor checked by supporting tools; as a consequence they can be a source of problems. In this paper we explore the role of the relations between artifacts written in different languages by means of a case study on the Hadoop open source project. We present the problem introducing its terminology, we quantify the phenomenon and investigate its relation with defect proneness.
Top 40 C Programming Interview QuestionsSimplilearn
This video by Simplilearn will explain to you on Top 40 C Programming Interview Questions. C Programming Interview Questions And Answers Tutorial will explain to you the beginner-level, intermediate-level, and advanced-level programming questions. This video has covered all the basic interview questions that every candidate is asked to check his/her knowledge in their programming skills. They have become essential to crack by every interviewer in the current IT industry.
Beginner-level
✅00:00-What are the features of the c programming language?
✅02:03-Mention the dynamic memory allocation functions
✅03:20-What is the use of pointer variables in c programming and what do u mean by dangling pointer variable?
✅03:59-What is the use of break control statements?
✅04:30-what is a predefined function in c?
✅04:56 What is the use of header files in c?
✅05:47-What is a memory leak?
-Intermediate level
✅06:04-Differentiate between call by value and call by reference.
✅06:40-What is the difference between a compiler and an interpreter?
✅07:16-What is typecasting?
✅07:40-What is the use of the size of an operator in c?
✅08:25-Write a c program to print the following pattern
✅10:34-Write a c code to swap two numbers without using a third variable
-Advanced level
✅12:51-What is a union?
✅13:37-What is a recursion?
✅13:47-What are macros in c?
✅14:30-Write the difference between macros and functions.
✅15:00-Sort an array using a quick sort algorithm
✅19:26-Write a c code to find the Fibonacci series.
✅23:02-How to Implement a program to find the height of a binary tree?
✅26:14-Implement a C program to display a string in reverse order.
✅30:35-Implement a program to add a node at the beginning, end, and specified positions in any linked list.
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#CProgramming #CInterviewQuestions #CInterview #InterviewQuestionsAndAnswers #CLanguageObjectiveQuestions #CProgrammingQuestions #interview #Programming #ProgrammingBook #Simplilearn
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About Free Advanced
This presentation material is my review about SOTA model related paper entitled with "Code Translation with Compiler Representations". It is a paper from Meta AI, and was accepted for an ICLR 2023.
"Source Code Abstracts Classification Using CNN", Vadim Markovtsev, Lead Soft...Dataconomy Media
"Source Code Abstracts Classification Using CNN", Vadim Markovtsev, Lead Software Engineer - Machine Learning Team at Source {d}
Watch more from Data Natives Berlin 2016 here: http://bit.ly/2fE1sEo
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About the Author:
Currently Vadim is a Senior Machine Learning Engineer at source{d} where he works on deep neural networks that aim to understand all of the world's developers through their code. Vadim is one of the creators of the distributed deep learning platform Veles (https://velesnet.ml) while working at Samsung. Afterwards Vadim was responsible for the machine learning efforts to fight email spam at Mail.Ru. In the past Vadim was also a visiting associate professor at Moscow Institute of Physics and Technology, teaching about new technologies and conducting ACM-like internal coding competitions. Vadim is also a big fan of GitHub (vmarkovtsev) and HackerRank (markhor), as well as likes to write technical articles on a number of web sites.
Elixir Brasil 2019 - Quality: A Panacéia para seu código ElixirWeverton Timoteo
A talk explaining how to define `good code`. Using `Code Complete` as a reference to guide over the quality definition and introducing Linters (Credo) and Dialyzer (Dialyxir)
A Comparative Study on Schema-guided Dialog State Trackingjie cao
Slides for NAACL'21 paper "A Comparative Study on Schema-guided Dialog State Tracking"
Our discussion mainly covers three aspects: encoder architectures, impact of supplementary training, and effective schema description styles. We introduce a set of newly designed bench-marking descriptions and reveal the model robustness on both homogeneous and heterogeneous description styles in training and evaluation.
java theory and coding topic power point presentation.pptxkypawar2127
Java theory and coding topic. Msster class for Java cover in ppt.
Java theory and coding topic. Msster class for Java cover in ppt.
Java theory and coding topic. Msster class for Java cover in ppt.
Information about variability is expressed in C through the usage of preprocessor directives which interact in multiple ways with proper C code, leading to systems difficult to understand and analyze. Lifting the variability information into a DSL to explicitly capture the features, relations among them and to the code, would substantially improve today’s state of practice. In this paper we present a study which we performed on 5 large projects (including the Linux kernel) and almost 30M lines of code on extracting variability information from C files. Our main result is that by using simple heuristics, it is possible to interpret a large portion of the variability information present in large systems. Furthermore, we show how we extracted variability information from ChibiOS, a realtime OS available on 14 different core architectures, and how we lifted that information in mbeddr, a DSL-based technology stack for embedded programing with explicit support for
variability.
Дмитрий Копляров , Потокобезопасные сигналы в C++Sergey Platonov
Распространённые подходы к реализации сигналов (boost, Qt) удобны в однопоточном окружении, но, к сожалению, имеют два недостатка при использовании из нескольких потоков: 1. Нет возможности атомарно подключиться к сигналу и получить текущее состояние объекта. 2. Отключение от сигнала плохо совместимо с идиомой RAII. В результате, “очевидный” код приводит к race condition’ам и обращениям к разрушенным объектам, а “правильный” подразумевает сложные схемы владения (shared_from_this, либо введение функционально избыточных объектов).
В докладе я расскажу об альтернативной реализации сигналов, лишённой этих недостатков, и объясню на примерах её преимущества перед boost::signals2.
Lowcode: Extending Smalltalk with C Types to Improve Performance
Questions
1. 2 Marks Questions
Q. In two pass assembler what is the objective of First Pass?
Q. Brief note on Parser Generator
Q. What is mean by Semantic Actions?
3 Marks Questions
Q. What is mean by Intermediate Code?
Q. What is Relocation?
5 Marks Questions vuzs
Q. What are the components of CFG
Q. Aik question Ambiguous Grimmer ka tha.
2. 8)The attribute of a number token
contains
Its type
Its value
Its variable
9)<num, 31>
u e 0 0 0 is a token without attribute.
u e 0 0 0 is a token with one
attribute.
Is a token with two attributes.
2)Compiler Construction concerns about:
u e 0 0 0 Design of programming languages
u e 0 0 0 Design of translator systems for language
u e 0 0 0 Building converter for programs
3) LL1 languages:
u e 0 0 0 are good for top down parsing
u e 0 0 0 needs more than one token lookahead
u e 0 0 0 work good with left recursion
3)Ambiguity
Allows more than one meaning of one
expression
Is well suited together with predicted
parsing
It should not be avoided
