Satisfying Real-world Goals with Dataset Constraints |
2016/12/10 - 12:47pm |
Academic Paper |
Machine Learning, Training Data, Dataset Constraints, Misclassification Error |
The Power of Optimization from Samples |
2016/12/10 - 12:42pm |
Academic Paper |
Machine Learning, Optimization, Samples, Ranking, Optimal Tagging, Influence Maximization |
Data Programming: Creating Large Training Sets, Quickly |
2016/12/10 - 12:35pm |
Academic Paper |
Machine Learning, Training Data, Data Programming, Training Sets, Supervised Learning Methods |
Cooperative Inverse Reinforcement Learning |
2016/12/10 - 12:25pm |
Academic Paper |
Machine Learning, Reinforcement Learning, Cooperative Inverse Reinforcement Learning |
Threshold Learning for Optimal Decision Making |
2016/12/10 - 12:21pm |
Academic Paper |
Machine Learning, Reinforcement Learning, Threshold Learning, Decision Making |
PAC Reinforcement Learning with Rich Observations |
2016/12/10 - 12:16pm |
Academic Paper |
Machine Learning, Reinforcement Learning, PAC Reinforcement Learning |
Learning to Communicate with Deep Multi-Agent Reinforcement Learning |
2016/12/10 - 12:09pm |
Academic Paper |
Machine Learning, Reinforcement Learning, Deep Multi-Agent Reinforcement Learning, Multiagent Systems |
Doubly Convolutional Neural Networks |
2016/12/10 - 12:02pm |
Academic Paper |
Machine Learning, Neural Networks, Convolutional Neural Networks |
A Multi-Batch L-BFGS Method for Machine Learning |
2016/12/10 - 11:58am |
Academic Paper |
Machine Learning, Multi-Batch L-BFGS Method, Optimization and Control |
An Architecture for Deep, Hierarchical Generative Models |
2016/12/10 - 11:53am |
Academic Paper |
Machine Learning, Directed Generative Models, Deep, Hierarchical Generative Models |
Regret of Queueing Bandits |
2016/12/10 - 11:47am |
Academic Paper |
Machine Learning, Queueing Bandits, Bandits, Systems and Control |
On Robustness of Kernel Clustering |
2016/12/10 - 11:43am |
Academic Paper |
Machine Learning, Kernel Clustering |
Communication-Optimal Distributed Clustering |
2016/12/10 - 11:39am |
Academic Paper |
Machine Learning, Communication-Optimal Distributed Clustering, Distributed Clustering |
Improved Dropout for Shallow and Deep Learning |
2016/12/10 - 11:35am |
Academic Paper |
Deep Learning, Improved Dropout, Shallow Learning |
Power Failure - Why Small Sample Size Undermines the Reliability of Neuroscience |
2016/12/09 - 9:38pm |
Academic Paper |
Sample Size, Reliability, Neuroscience, Reproducibility, Methodological Principles |
Rationalizing Neural Predictions |
2016/12/09 - 9:34pm |
Academic Paper |
Neural Predictions, Prediction |
Outlook on Artificial Intelligence in the Enterprise 2016 |
2016/12/09 - 9:28pm |
White Paper |
Artificial Intelligence, Machine Learning, Enterprise |
Managing the Machines - AI is Making Prediction Cheap, Posing New Challenges for Managers |
2016/12/09 - 9:25pm |
White Paper |
Machine Learning, Artificial Intelligence |
2016 Analysis of Long-Term U.S. Productivity Decline |
2016/12/09 - 9:24pm |
White Paper |
Economic Growth, Productivity, Long-Term U.S. Productivity Decline |
Tuning Recurrent Neural Networks with Reinforcement Learning |
2016/12/01 - 9:01pm |
Academic Paper |
Recurrent Neural Networks, Reinforcement Learning, LSTM Neural Networks |
Lip Reading Sentences in the Wild |
2016/12/01 - 8:58pm |
Academic Paper |
Lip Reading, Computer Vision, Pattern Recognition, Speech Recognition |
Achieving Human Parity in Conversational Speech Recognition |
2016/12/01 - 8:54pm |
Academic Paper |
Speech Recognition, Conversational Speech Recognition, Computation and Language, Convolutional Networks, LSTM Neural Networks |
Automated Inference on Criminality using Face Images |
2016/12/01 - 8:50pm |
Academic Paper |
Pattern Recognition, Automated Inference, Criminality, Face Images, Computer Vision, Law, Regulation |
Quantifying Decision Making for Data Science - From Data Acquisition to Modeling |
2016/11/21 - 10:32pm |
Academic Paper |
Decision Making, Data Science, Data Acquisition, Modeling, ROI |
The State of Applied Econometrics - Causality and Policy Evaluation |
2016/11/21 - 10:29pm |
Academic Paper |
Econometrics, Applied Econometrics, Causality, Policy Evaluation, Economics |
Cognitive Control as a Double-Edged Sword |
2016/11/21 - 10:28pm |
Academic Paper |
Cognitive Control, Mind Modeling, Behavior |
OpenStack Management at Hyperscale - A Verizon Case Study |
2016/11/17 - 6:56pm |
Video |
OpenStack, Hyperscale, Verizon, Case Study |
Best Practices for Deploying OpenStack Trove |
2016/11/17 - 6:55pm |
Video |
OpenStack, Trove |
Big Data and Machine Learning on OpenStack |
2016/11/17 - 6:53pm |
Video |
Machine Learning, OpenStack |
Architectural Considerations for Big Data Workloads on OpenStack |
2016/11/17 - 6:51pm |
Video |
OpenStack, Kafka, Hadoop, NoSQL |
Learning to Protect Communications with Adversarial Neural Cryptography |
2016/11/17 - 1:58am |
Academic Paper |
Adversarial Neural Cryptography, Neural Networks, Encrypted Data, Privacy, Decryption, Cryptography |
A Genetic-based Algorithm for Personalized Resistance Training |
2016/11/17 - 1:53am |
Academic Paper |
Sports Science, Genetic-based Algorithm, Personalized Resistance Training, DNA, Endurance, Genotype, Personalized training, Polymorphism, Power |
Regulating Innovation: Competition Policy and Patent Law under Uncertainty |
2016/11/17 - 1:48am |
Academic Paper |
Law, Regulation, Innovation, Competition Policy, Patent Law |
Probabilistic Modelling, Machine Learning, and the Information Revolution - Slides |
2016/11/15 - 10:35am |
Slides |
Probabilistic Modelling, Machine Learning, Information Revolution |
Future Directions of AI in the Enterprise - Slides |
2016/11/15 - 10:25am |
Slides |
Artificial Intelligence, Intelligent Machines, Machine Learning Applications, Machine Learning, Artificial Neural Networks |
Differentiable Neural Computer Family Tree Inference Task |
2016/11/03 - 10:49pm |
Video |
Deep Neural Network Learning, Differentiable Neural Computer, Neural Networks |
Monte Carlo Simulations in Ad Lift Measurement Using Spark |
2016/11/01 - 10:37am |
Video |
Apache Spark, Monte Carlo Simulations, Ad Lift Measurement |
Distributed Time Travel for Feature Generation |
2016/11/01 - 10:35am |
Video |
Apache Spark, Distributed Time Travel, Feature Generation |
A Deeper Understanding of Spark Internals |
2016/11/01 - 10:34am |
Video |
Apache Spark |
Re Architecting Spark For Performance Understandability |
2016/11/01 - 10:32am |
Video |
Apache Spark |
Structuring Apache Spark 2.0: SQL, DataFrames, Datasets And Streaming |
2016/11/01 - 10:31am |
Video |
Apache Spark |
Operational Tips For Deploying Apache Spark |
2016/11/01 - 10:29am |
Video |
Apache Spark |
Top 5 Mistakes When Writing Spark Applications |
2016/11/01 - 10:28am |
Video |
Apache Spark |
Low Latency Execution For Apache Spark |
2016/11/01 - 10:26am |
Video |
Apache Spark |
Revisiting Semi-Supervised Learning with Graph Embeddings |
2016/10/20 - 1:57pm |
Academic Paper |
Supervised Learning, Machine Learning, Semi-Supervised Learning, Graph Embeddings |
Encode, Review, and Decode: Reviewer Module for Caption Generation |
2016/10/20 - 1:52pm |
Academic Paper |
Computer Vision, Pattern Recognition, Reviewer Module, Caption Generation, Machine Learning, Image Captioning, Source Code Captioning |
On Multiplicative Integration with Recurrent Neural Networks |
2016/10/20 - 1:46pm |
Academic Paper |
Multiplicative Integration, Recurrent Neural Networks, Machine Learning |
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations |
2016/10/20 - 12:27pm |
Academic Paper |
Recurrent Neural Networks, Path-SGD Optimization Method, ReLU Activations, Machine Learning, Neural Computing, Evolutionary Computing |
Iterative Refinement of Approximate Posterior for Training Directed Belief Networks |
2016/10/20 - 12:14pm |
Academic Paper |
Variational Inference, Deep Directed Graphical Models, Iterative Refinement, Approximate Posterior, Directed Belief Networks, Machine Learning |
Harnessing Deep Neural Networks with Logic Rules |
2016/10/20 - 12:07pm |
Academic Paper |
Deep Neural Networks, Logic Rules, Machine Learning |