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David Austin
Sr Principal Engineer at Intel
accuracy and precision, attention, brute-force search, convolutional neural network, data science, equinor, experiment, first-order logic, hyperparameter (machine learning), hyperparameter optimization, image classification, image classifier, imagenet, insight, kaggle, kaggle grandmaster, learning rate, machine learning, machine learning platform, machine learning tools, mathematical optimization, memory, ml, outlier, overfitting, parameter, pixel, program optimization, satellite, source lines of code, visualization (graphics), workflow
Adrian Locher
Founder & CEO at Merantix
ai, artificial intelligence, automation, berlin, big data, business model, business-to-business, computer, engineering, fabian westerheide, imagenet, infrastructure, internet, investor, künstliche intelligenz, language, luck, machine learning, medical imaging, overqualification, radiology, research, rise of ai, rise of ai summit, sales, self-driving car, soft skills, startup company, steve jobs, sustainable business, technology, tensorflow
Luiz Gustavo Martins
TensorFlow & Machine Learning at Google
#googleio, analytics, common kingfisher, conservation movement, documentation, email spam, google announcement, google conference. google, google developer conference, google i/o, google io, humpback whale, imagenet, imax, kaggle, landing page, laptop, learning, library, machine learning, ml real world impact, mobile app, mobile phone, new in tensorflow, poaching, pr_pr: google i/o, purpose: educate, sound, statistical classification, temperature, tensorflow, tensorflow hub, tensorflow hub solutions, tensorflow machine learning, tensorflow machine learning solutions, tf hub, tf hub models, transfer learning, type: conference talk (full production), web browser, whale, whale vocalization
Elizabeth Kemp
Software Engineer at Google
#googleio, analytics, common kingfisher, conservation movement, documentation, email spam, google announcement, google conference. google, google developer conference, google i/o, google io, humpback whale, imagenet, imax, kaggle, landing page, laptop, learning, library, machine learning, ml real world impact, mobile app, mobile phone, new in tensorflow, poaching, pr_pr: google i/o, purpose: educate, sound, statistical classification, temperature, tensorflow, tensorflow hub, tensorflow hub solutions, tensorflow machine learning, tensorflow machine learning solutions, tf hub, tf hub models, transfer learning, type: conference talk (full production), web browser, whale, whale vocalization
Melissa Torgbi
Data Scientist at SAS
air pollution, airplane, alexandria ocasio-cortez, apple inc., atmosphere of earth, carbon, climate, climate model, cluster analysis, computer vision, computing, covid pandemic, deep learning, design, dimensionality reduction, earth, greenhouse gas, health care, human impact on the environment, idea, image segmentation, imagenet, infrastructure, intelligence, knowledge, level of detail (computer graphics), lisa simpson, machine learning, medical image computing, motivation, natural environment, new york city, news, nitrogen, pandemic, pollution, populations of images, prediction, science, self-driving car, severe acute respiratory syndrome coronavirus 2, social media, statistical classification, supervised learning, understanding, unsupervised learning, virus, wind
Kanwal Bhatia
Co-Founder and CSO at MetaLynx
alexandria ocasio-cortez, apple inc., cluster analysis, computer vision, computing, deep learning, dimensionality reduction, health care, idea, image segmentation, imagenet, intelligence, level of detail (computer graphics), machine learning, medical image computing, populations of images, prediction, science, self-driving car, social media, statistical classification, supervised learning, understanding, unsupervised learning
Cees Snoek
Professor in Artificial Intelligence at University of Amsterdam
algorithmic bias, artificial neural network, central processing unit, computer vision, concept, conceptual model, convolutional neural network, data sheet, deep learning, feature learning, hyperparameter optimization, image quality, image segmentation, imagenet, learning to rank, neural network, overfitting, prediction, programmer, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance
Kuan-Chuan Peng
Research Scientist at Mitsubishi Electric Research Laboratories
algorithmic bias, artificial neural network, central processing unit, computer vision, concept, conceptual model, convolutional neural network, data sheet, deep learning, feature learning, hyperparameter optimization, image quality, image segmentation, imagenet, learning to rank, neural network, overfitting, prediction, programmer, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance
Andrew David Bagdanov
Associate Professor at University of Florence
algorithmic bias, artificial neural network, central processing unit, computer vision, concept, conceptual model, convolutional neural network, data sheet, deep learning, feature learning, hyperparameter optimization, image quality, image segmentation, imagenet, learning to rank, neural network, overfitting, prediction, programmer, representation (arts), statistical classification, supervised learning, support-vector machine, unsupervised learning, variance
Vinay Prabhu
Chief Scientist at UnifyID
algorithm, amazon (company), angle, angling, applied mathematics, autoencoder, brain, burden of proof (law), cattle, child, child sexual abuse, computer, computer vision, data, datasets, diamond, dimension, ethics, free will, function (mathematics), imagenet, information, kitchen, machine learning, mathematical optimization, mathematics, mind, motivation, muhammad, nearest neighbor search, news, number, password, princeton university, privacy, property, proverb, rape, regression analysis, science, space, speed, stereotype, supervised learning, time, wikipedia
Thomas Chen
Chair of the Department of Mathematics, College of Natural Sciences at The University of Texas at Austin
artificial intelligence, artificial neural network, climate change, computer vision, convolutional neural network, crowdsourcing, deep learning, earthquake, forecasting, graphics processing unit, ground truth, imagenet, machine learning, natural language processing, neural network, nvidia, nvidia tesla, prediction, python, python tutorial, python virtual conference 2021, qualitative research, quantitative research, research, science, scientific computing, scipy2021, sentiment analysis, social media, understanding
Dawn Song
Professor at UC Berkeley
23andme, aaai, aaai 20, access control, adoption, ai and security lessons, ai challenges and future directions, ai conference, ai summer, altcoin, amazon alexa, analytics, apple inc., application software, architect, attention, bias, bitcoin, bitcoin 101, bitcoincash, bitcoinmining, bitcoinnews, bitcoinprice, bitcoins, bitcointrading, blockchain, blockchain conference, blockchain education, blockchaintechnology, btc, business, case study, causality, cesc, chatbot, child care, closed-circuit television, competition, computer security, computer vision, computing, consent, consumer privacy, contact tracing, coronavirus disease 2019, covid-19 pandemic, credit card, crowdsourcing, crypto, cryptocurrencies, cryptocurrency, cryptoeconomics, cryptography , cryptonews, cryptotrading, curiosity, data analysis, data sharing, dawn song, deep learning, differential privacy, disease, economics, economy, education, elsa (frozen), eth, ethereum, evaluation, evidence, exposure notification, facial recognition system, firmware, formal verification, google, google stadia, health care, health informatics, health insurance portability and accountability act, histogram, http cookie, image segmentation, imagenet, imovie, informatics, information privacy, information sensitivity, integrity, intelligence, internet, internet privacy, invest, investing, investment, investor, key management, language, latanya sweeney, leverage (finance), litecoin, machine learning, malware, medicare (united states), memory, mind, money, motivation, music, observation, organization, outlier, overfitting, patient, personal data, phishing, policy, prediction, privacy, privacy policy, property, reason, regulatory compliance, reinforcement, research conference, research talk, risk, road, san francisco blockchain week, security and privacy, self-driving car, sense, serial ata, sf blockchain week, sfbw19, sfbw2020, smart contract, social engineering (security), software , speech recognition, speed limit, statistical classification, statistics, system, thought, time, trader, trading, transparency (behavior), type system, uc berkeley, use case, user interface, visual perception, vulnerability (computing), web application, world wide web, zero-knowledge proof
Aleksander Madry
PhD Student at Massachusetts Institute of Technology
bias, causality, computer vision, crowdsourcing, curiosity, evaluation, evidence, facial recognition system, histogram, imagenet, machine learning, motivation, observation, outlier, overfitting, prediction, reason, security and privacy, self-driving car, statistical classification, statistics, thought, time, user interface
Jerry Li
Senior Researcher at Microsoft
bias, causality, computer vision, crowdsourcing, curiosity, evaluation, evidence, facial recognition system, histogram, imagenet, machine learning, motivation, observation, outlier, overfitting, prediction, reason, security and privacy, self-driving car, statistical classification, statistics, thought, time, user interface
Emre Kiciman
Senior Principal Researcher at Microsoft
bias, causality, computer vision, crowdsourcing, curiosity, evaluation, evidence, facial recognition system, histogram, imagenet, machine learning, motivation, observation, outlier, overfitting, prediction, reason, security and privacy, self-driving car, statistical classification, statistics, thought, time, user interface
David Ouyang
Staff Physician at Smidt Heart Institute
adherence (medicine), behaviour therapy, covid-19, diabetic retinopathy, health care, health informatics, healthcare, imagenet, institutional review board, machine learning, major depressive disorder, medical diagnosis, medical laboratory scientist, medication, mental health, national health service, patient, personalized medicine, screening (medicine), teledermatology, telehealth, training, validation, and test sets, usability, zika fever
Ozan Oktay
Senior Researcher at Microsoft
adherence (medicine), behaviour therapy, covid-19, diabetic retinopathy, health care, health informatics, healthcare, imagenet, institutional review board, machine learning, major depressive disorder, medical diagnosis, medical laboratory scientist, medication, mental health, national health service, patient, personalized medicine, screening (medicine), teledermatology, telehealth, training, validation, and test sets, usability, zika fever
Gilberto Szarf
Professor at UNIFESP
adherence (medicine), behaviour therapy, covid-19, diabetic retinopathy, health care, health informatics, healthcare, imagenet, institutional review board, machine learning, major depressive disorder, medical diagnosis, medical laboratory scientist, medication, mental health, national health service, patient, personalized medicine, screening (medicine), teledermatology, telehealth, training, validation, and test sets, usability, zika fever
Lily Peng
Product Manager at Google
adherence (medicine), artificial intelligence in healthcare, artificial neural network, behaviour therapy, biopsy, blood glucose monitoring, blood sugar level, breast cancer, cancer, cardiovascular disease, covid-19, deep learning, diabetes, diabetes management, diabetic retinopathy, dieting, health care, health informatics, healthcare, imagenet, institutional review board, intelligence, lymph, machine learning, major depressive disorder, medical diagnosis, medical laboratory scientist, medication, mental health, metastasis, metastatic breast cancer, national health service, neural network, pathology, patient, personalized medicine, prediabetes, prostate cancer, receiver operating characteristic, screening (medicine), teledermatology, telehealth, training, validation, and test sets, usability, zika fever
Pranav Rajpurkar
PhD Student at Harvard University
adherence (medicine), behaviour therapy, covid-19, diabetic retinopathy, health care, health informatics, healthcare, imagenet, institutional review board, machine learning, major depressive disorder, medical diagnosis, medical laboratory scientist, medication, mental health, national health service, patient, personalized medicine, screening (medicine), teledermatology, telehealth, training, validation, and test sets, usability, zika fever
Daniel Rubin
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), of Medicine (Biomedical Informatics Research) and, by courtesy, of Ophthalmology at Stanford University
adherence (medicine), behaviour therapy, cluster analysis, computer vision, covid-19, ct scan, deep learning, diabetic retinopathy, electronic health record, feature learning, glioblastoma, health care, health informatics, healthcare, image segmentation, imagenet, institutional review board, machine learning, major depressive disorder, mammography, medical diagnosis, medical imaging, medical laboratory scientist, medical record, medication, medicine, mental health, molecular biology, national health service, natural language processing, pathology, patient, personalized medicine, precision medicine, radiology, real-time computing, regression analysis, screening (medicine), teledermatology, telehealth, training, validation, and test sets, unstructured data, usability, word embedding, zika fever
David Kanter
Vice President at MLCommons
artificial neural network, benchmarking, best practice, big data, computer vision, convolutional neural network, fugaku (supercomputer), gradient descent, imagenet, innovation, kubernetes , machine learning, natural language processing, neural network, open data, platform, research, scientific method, self-driving car, software testing, speech recognition, stochastic gradient descent, supercomputer, visual impairment
Mads Rydahl
Vice President Of Products, CACTUS Labs at Cactus Communications
academic publishing, ai, ai in mumbai, algorithm, artificial intelligence, artificialintelligence, automation, bias, bigdata, business, california, capitalism, cloud computing, code, coding, computer vision, concept, data, database, datascience, deep learning, deeplearning, denmark, disability, eating your own dog food, email, employment, end user, engineering, english language, entrepreneur, entrepreneurship, exponential growth, fintech, fintechs, future, futureofwork, gmail, going global, google, health, ibm, image, imagenet, immigration, india, innovation, intelligence, internet, investment, investment fund, iot, language, learning, machinelearning, microsoft, military–industrial complex, mind, ml, mumbai, mumbai ai, nuclear physics, online chat, painting, pension, photograph, programmer, programming, public–private partnership, python, reality, reason, research, risk, robotics, science, startup, startup company, startups, sustainability, tax, tech, tech enthusiast, technological singularity, technology, the bmj, understanding, united states department of energy, use case, vincent van gogh, watson (computer), web portal, welfare, welfare state, womenintech
Evan Hennis
Founder at Eckron Software
32-bit computing, arm architecture, array data structure, artificial neural network, camera, command-line interface, computer vision, control flow, g-code, home automation, imagenet, interpreter (computing), kodi (software), microsoft windows, parameter (computer programming), prediction, raspberry pi, raspberry pi os, rgb color model, sd card, sensor, string (computer science), tensorflow, twitter, webcam
Tulika Mitra
Professor at ational University of Singapore
analytics, arm architecture, arm cortex-a53, artificial intelligence, attention, automated teller machine, automation, brute-force attack, central processing unit, computer, computer hardware, computer science, computer vision, computing, data compression, deep learning, embedded system, energy level, field-programmable gate array, frame rate, gesture recognition, graphics processing unit, human, imagenet, imax, information, information technology, information technology & services , information technology conference , integrated circuit, internet, internet of things, low-power electronics, machine learning, machine learning 2020, machine learning technologies , machine learning tutorials, meltdown (security vulnerability), microcontroller, parallel computing, parking lot, polygraph, real-time computing, sensor, smart city, smartphone, smartwatch, stack (abstract data type), tensorflow, tinyml asia 2020, tinyml foundatio, video, wearable technology
Liang Zhang
Global Sales Strategy & Operations at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, apache spark, api, application software, applications at linkedin, array data structure, array data type, art, artificial intelligence tutorial, artificial neural network, assembly language, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), color, common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data conversion, data science tutorial, data type, debugging, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , file system, film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, library (computing), likelihood function, linear combination, linearity, linkedin, literature, loader (computing), logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parameter (computer programming), parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, preprocessor, protein–protein interaction, python (programming language), radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , source lines of code, space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, string (computer science), subroutine, summation, supervised learning, support-vector machine, temporal topic localization, tensor, texas, three-dimensional space, training, validation, and test sets, transcription (linguistics), transformer (machine learning model), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Di Wen
Staff Software Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Yijie Dylan Wang
Software Engineering Manager at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, closed captioning, code-division multiple access, codec, coherence (physics), compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, film frame, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, likelihood function, linearity, linkedin, literature, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimodality, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, sms, social networking service, softmax function, space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video search, video search engine, video understanding, weight, youtube
Bharat Jain
Data Scientist at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Nikita Gupta
Senior Applied Research Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
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