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Hyperparameter Optimization of MLPerf Training with Habana Labs: SigOpt Summit 2021

11/16/2021
Views 86
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algorithm, api, cloud computing, deep learning, implementation, machine learning, machine learning tools, ml, reason, recommendation systems, research, software , twitter, box plot, control flow, electric battery, flowchart, fox broadcasting company, hyperparameter (machine learning), hyperparameter optimization, interface (computing), loss function, mathematical optimization, number, patch (computing), workload, mlperf, machine learning platform, hpo
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Better Glass Design with Multi-Objective Bayesian Optimization

11/16/2021
Views 70
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gas, glass, machine learning, machine learning tools, materials science, ml, simulation, star, water, wave, atmosphere of earth, genetic algorithm, hail, iron, light, loss function, precipitation, rain, reflection (physics), refraction, refractive index, silicon dioxide, solar cell, spectrum, transparency and translucency, ultraviolet, wavelength, semiconductor device fabrication, machine learning platform, self-healing material, manufacturing design
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Q2B 2020 | Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks

12/09/2020
Views 184
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algorithm, computer, curve, neural network, pain, quantum computing, relevance, complexity, computational complexity theory, derivative, equation, function (mathematics), gradient, heuristic, loss function, matrix (mathematics), number, parameter, partial derivative, system of linear equations, variance, los alamos national laboratory, hessian matrix, projection (linear algebra)
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Q2B 2020 | The Power of Quantum Computers | Andrew Childs | University of Maryland

12/08/2020
Views 973
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cryptography , geometry, machine learning, physics, quantum computing, boolean satisfiability problem, equation, factorization, grover's algorithm, loss function, mathematical optimization, np (complexity), particle physics, prime number, quantum annealing, quantum mechanics, quantum superposition, qubit, simulated annealing, system of linear equations, time complexity, topology, quantum algorithm, integer factorization, algebraic geometry
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Generating Adversarial Examples & Defense Methods For Online Fraud Detection

11/06/2020
Views 236
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automation, credit, design, information, learning, mastercard, money, motivation, paypal, prediction, reason, risk, social media, adversarial machine learning, credit card, demography, email address, function (mathematics), lawn, loss function, market (economics), mathematical optimization, timer, visa inc., vulnerability (computing)
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Designing More Inclusive AI with More Inclusive Workflows

11/06/2020
Views 62
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bias, computer vision, gender, history, leadership, learning, machine learning, metadata, mobile app, news, prediction, reason, science, social media, algorithmic bias, belief, confirmation bias, facial recognition system, implicit stereotype, loss function, mathematical optimization, stereotype, telecommuting, survivorship bias
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Semi-bandit Optimization in the Dispersed Setting

08/04/2020
Views 35
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algorithm, dimension, feedback, information, law, learning, saudi arabia, utility, acronym, bit, cluster analysis, concrete, function (mathematics), goal, interval (mathematics), intuition, knapsack problem, loss function, map, mathematical optimization, parameter, reptile, smoothness, greedy algorithm, measure (mathematics)
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Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles

08/05/2020
Views 64
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divorce, education, future, measurement, prediction, probability, science, standard deviation, artificial neural network, force, interval (mathematics), loss function, mean, noise, normal distribution, observational error, odds, piano, regression analysis, sensitivity analysis, standard error, uncertainty, epistemology, scanning electron microscope, coverage probability
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Graphical continuous Lyapunov models

08/05/2020
Views 32
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bird, data, mining, protein, simulation, speed, differential equation, directed graph, equation, function (mathematics), gradient, graph (discrete mathematics), ground truth, loss function, matrix (mathematics), normal distribution, observation, ocean, parameter, sea, stochastic process, symmetric matrix, truth, definite symmetric matrix, coefficient matrix
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On the design of consequential ranking algorithms

08/05/2020
Views 20
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algorithm, communication, disability, experiment, future, insurance, misinformation, music, pain, twitter, utility, water, attention, correlation and dependence, function (mathematics), hypertext transfer protocol, loss function, mathematical optimization, matrix (mathematics), monte carlo method, pressure, reliability (statistics), variance, web browser, trajectory
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One-Bit Compressed Sensing via One-Shot Hard Thresholding

08/05/2020
Views 75
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coffee, currency, email, information, probability, property, solution, statistics, android (operating system), compressor, computer multitasking, function (mathematics), infinity, loss function, mathematical optimization, metric (mathematics), number, quantity, signal, singing, truth, absolute zero, metronome, concentration, magnitude (mathematics)
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Bounding the expected run-time of nonconvex optimization with early stopping

08/06/2020
Views 27
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algorithm, brain, car, convex optimization, lawsuit, probability, reason, self-driving car, evaluation, first-order logic, function (mathematics), gradient, loss function, mathematical optimization, mathematical proof, perimeter, probability distribution, sampling (statistics), stochastic, early stopping, average-case complexity, error function, nyquist–shannon sampling theorem, optional stopping theorem
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XGBoost Algorithm in depth

05/04/2021
Views 346
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ai, artificial intelligence, data science, deep learning, gradient descent, machine learning, neural network, statistics, women in tech, women in technology, bootstrapping (statistics), constrained optimization, decision tree learning, derivative, determinism, errors and residuals, lasso (statistics), likelihood function, logistic regression, loss function, mathematical optimization, overfitting, random forest, regression analysis, statistical classification, supervised learning, variance, odds ratio, hessian matrix, wids worldwide, convex function, data science conference 2020, wids 2020, wids mumbai 2020, woman in data science
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ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer

01/08/2021
Views 45
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architecture, data, experiment, inference, information, knowledge, pain, paper, prediction, accuracy and precision, attention, equation, france, function (mathematics), hyperparameter optimization, image segmentation, loss function, market segmentation, mathematical optimization, methodology, training, validation, and test sets, transfer function, devon, minimax, ada-at/dt
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Driver Anomaly Detection: A Dataset and Contrastive Learning Approach

01/06/2021
Views 142
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curve, data, dataset, silver, technology, texas, uber, vehicle, attention, average, data set, dinner, integral, loss function, temperature, train, tunnel, discourse
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Intelligent irrigation management using crop-models, optimization and machine learning

08/16/2021
Views 1.01 K
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agriculture, algorithm, artificial intelligence, climate change, data science, engineering, information, internet, machine learning, open-source software, python, robotics, science, simulation, software engineering, tax, water, web application, decision-making, fresh water, irrigation, laptop, loss function, mathematical optimization, python (programming language), rain, software framework, soil, use case, water scarcity, scientific computing, scipy2021, python virtual conference, food and agriculture organization
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Advances in Data Science Conference 2020: Stephanie Hyland

06/23/2020
Views 52
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algorithm, database, differential privacy, gradient descent, health care, machine learning, neural network, standard deviation, statistics, bit, determinism, equation, logistic regression, loss function, mathematical optimization, mean, nonlinear system, randomness, regression analysis, sampling (statistics), statistical classification, stochastic gradient descent, variance, stochastic differential equation
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ML Summit: Predict | Introduction to Swift for Tensorflow

10/20/2020
Views 1.01 K
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computer programming, deep learning, firmware, ios, numpy, tensorflow, activation function, apple inc., artificial neural network, convolutional neural network, cross entropy, derivative, embedded system, formula, jacobian matrix and determinant, julia (programming language), llvm, loss function, patch (computing), perceptron, personal computer, stochastic gradient descent, swift (programming language), chain rule
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Efficient Distributed Hyperparameter Tuning with Apache Spark

05/27/2021
Views 2.54 K
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apache spark, central processing unit, data-intensive computing, databricks, deep learning, expert, machine learning, source code, brute-force search, cluster analysis, clustered file system, computational complexity theory, computer network, cross-validation (statistics), hyperparameter optimization, instruction pipelining, library (computing), loss function, mathematical optimization, parallel computing, principal component analysis, program optimization, random forest, subroutine, k-means clustering, computational phylogenetics
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Adversarial Attacks and Defenses: Frontiers, Advances and Practice

08/23/2020
Views 944
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algorithm, artificial intelligence, computer vision, data science, deep learning, engineering, facebook, internet, language, machine learning, motivation, natural language processing, prediction, robot, social media, technology, counterfactual conditional, deception, equation, facial recognition system, goal, infidelity, loss function, python (programming language), randomness, sensor, simple mail transfer protocol, acm 2020, computer science event 2020, kdd2020, computer science 2020, kdd2020 tutorials
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Learning from All Types of Experiences: A Unifying Machine Learning Perspective

08/23/2020
Views 125
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data science, artificial intelligence, case study, compiler, computer vision, computing, creativity, deep learning, machine learning, mind, reinforcement learning, accuracy and precision, autoencoder, hyperparameter optimization, inquiry, instruction set architecture, likelihood function, loss function, maximum likelihood estimation, principal component analysis, regression analysis, unsupervised learning, kullback–leibler divergence, association for computing machinery, theoretical physics, lagrange multiplier, web ontology language, acm 2020, computer science event 2020, kdd2020, computer science 2020, principle of maximum entropy
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Data Sketching for Real Time Analytics: Theory and Practice

08/23/2020
Views 357
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artificial intelligence, big data, computer science, deep learning, differential privacy, machine learning, confidence interval, cumulative distribution function, dimensionality reduction, estimation theory, hyperloglog, likelihood function, loss function, mean, mode (statistics), numerical analysis, online and offline, probability distribution, quantization (signal processing), regression analysis, sample size determination, sampling (statistics), singular value decomposition, sorting algorithm, support-vector machine, quantile, association for computing machinery, robust statistics, selection algorithm, acm 2020, computer science event 2020, kdd2020, computer vision 2020
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Geospatial Technologies for Ride-Hailing and Emergency Vehicle Fleets

08/27/2020
Views 96
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algorithm, artificial intelligence, computer vision, deep learning, machine learning, neural network, openstreetmap, prediction, routing, traffic, uber, accuracy and precision, directed graph, graph (discrete mathematics), highway, loss function, mathematical optimization, path (graph theory), recurrent neural network, shortest path problem, statistical classification, traffic congestion, vertex (graph theory), association for computing machinery, emergency medical services, journey planner, computer science event 2020, kdd2020, computer science 2020, average-case complexity, contraction hierarchies
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MLHC 2020: Panel Discussion - Heterogeneous Treatment Effect Estimation

08/08/2020
Views 143
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analytics, causality, hypothesis, inference, machine learning, probability, research, science, statistics, accuracy and precision, belief, cancer, decision-making, electronic health record, evidence-based medicine, expected value, international system of units, loss function, predictive modelling, regression analysis, trust (social science), causal inference, hospital medicine, hard problem of consciousness
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Latent Skill Planning for Exploration and Transfer

05/03/2021
Views 138
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artificial intelligence, automl, computer science, computer vision, deep learning, experiment, information, knowledge, learning, machine learning, motivation, neural networks, optimism, planet, planning, prediction, reinforcement learning, research, simulation, training, entropy, language acquisition, loss function, maxima and minima, model predictive control, neural architecture search, parameter, police, probability distribution, random variable, reinforcement, reward system, mutual information, iclr 2021, iclr virtual conference , network optimization , neural network architectures, model-based reinforcement learning , world models, neural and evolutianary computing, partial amortization, skill discovery, latent learning
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Mutual Information State Intrinsic Control

05/04/2021
Views 245
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artificial intelligence, automl, behavior, computer, computer science, computer vision, concept, deep learning, deep reinforcement learning, experiment, human, information, insurance, learning, machine learning, music, neural networks, probability, psychology, reinforcement learning, research, space, transfer learning, apartment, auction, bank, basement, consciousness, function (mathematics), loss function, neural architecture search, reward system, reconnaissance, mutual information, iclr 2021, iclr virtual conference , neural and evolutionary computing , network optimization , neural network architectures, intrinsic motivation, iclr2021 spotlight, intrinsic reward, intrinsically motivated reinforcement learning, rui zhao, talk by rui zhao
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Application of Multi-class Supervised Algorithms to Identify COVID-19 Viral Strains

10/25/2020
Views 43
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algorithm, bias, machine learning, research, accuracy and precision, binary classification, bit, cross-validation (statistics), dna sequencing, entropy (information theory), function (mathematics), least squares, loss function, matrix (mathematics), multiclass classification, nucleic acid sequence, nucleotide, regression analysis, statistical classification, adenine, discrete fourier transform, guanine, hamming distance, purine
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Tutorials: Practical Deep Learning for Data Scientists

05/13/2021
Views 1.02 K
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brain, computer vision, deep learning, gradient descent, machine learning, python, python community, self-driving car, virtual assistant, artificial neural network, automatic differentiation, backpropagation, convolutional neural network, cross entropy, facial recognition system, for loop, hyperparameter (machine learning), learning rate, loss function, matrix (mathematics), mean squared error, multilayer perceptron, perceptron, recurrent neural network, regularization (mathematics), subroutine, vehicular automation, introduction, pycon us, pycon us 2021, python 2021, python tutorials 2021, python tips and tricks, pycon 2021 tutorials, deep learning in practice, tutorial pycon us 2021, deep learning tuturial, evaluating models, optimizing models, summary
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Talk: What are quantum computers, and how can we train them in Python?

05/15/2021
Views 1.74 K
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algorithm, computer, facebook, food, machine learning, measurement, open source, open-source software, python, python community, quantum computers, quantum computing, research, software , artificial neural network, function (mathematics), laptop, loss function, matrix (mathematics), probability distribution, quantum entanglement, quantum superposition, qubit, resonance, superconductivity, temperature, valuation (finance), python software foundation, electrical network, pycon us, pycon us 2021, python talks 2021, python 2021, python tutorials 2021, pycon 2021 talks, python coding, building a differentiable quntum program, josh izaac, josh izaac python, parametrized quntum functions, please can we have a gradient, quantum software development, talk by josh izaac
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Cost-effective Cloud Edge Traffic Engineering with Cascara

04/12/2021
Views 481
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algorithm, cloud computing, computing, data, disease, information, infrastructure, internet, microsoft, money, software , bandwidth (computing), best, worst and average case, border gateway protocol, hindsight bias, internet service provider, latency (engineering), linear programming, loss function, mathematical optimization, microsoft windows, overtime, percentile, router (computing), online algorithm
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