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Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress -
H-1B Visa Applications Record Dataset
The H-1B Visa Applications Record Dataset is a collection of over 3 million H-1B Visa applications that were filed in the United States of America during the time period of... -
HABNet: Machine Learning, Remote Sensing Based Detection and Prediction of Ha...
The dataset used for the detection and prediction of Harmful Algal Blooms (HABs) using machine learning techniques and remote sensing data. -
Continuous Relaxation Annealing for Combinatorial Optimization
The dataset used in this paper is a collection of combinatorial optimization problems, including MIS and MaxCut problems on random regular graphs (RRGs) with varying degrees. -
Synthetic dataset for multiplicative interactions
A synthetic dataset that exhibits multiplicative interactions between inputs. The function to be approximated is a multi-variate polynomial or multinomial. -
Model of Learning in C. elegans
A mathematical model of the fundamental roots of learning mechanisms within the brain of Caenorhabditis elegans. -
Positive-Confidence Classification
The proposed method is for binary classification from positive data equipped with confidence. The authors propose a novel problem setting and algorithm for binary classification... -
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning...
The dataset used in the paper is a synthetic game with two agents, where the payoff functions are sampled from a Gaussian process. -
State Space Representations of Deep Neural Networks
This paper deals with neural networks as dynamical systems governed by finite difference equations. It shows that the introduction of k-many skip connections into network... -
Synthesis of Neural Barrier Certificates
The dataset used in the paper is a set of polynomial and non-polynomial dynamical models, including the Darboux model, the exponential model, the obstacle avoidance problem, the... -
Non-reversible parallel tempering for deep posterior approximation
The dataset used in the paper is a multi-modal distribution, and the authors propose a new method for parallel tempering with stochastic gradient Langevin dynamics. -
DeePMD testing dataset
The dataset is used to test the DeePMD model for molecular dynamics simulations. -
DeePMD dataset
The dataset is used to train and test the DeePMD model for molecular dynamics simulations. -
Maximizing and Satisficing in Multi-armed Bandits with Graph Information
The dataset used in the paper is a graph-based multi-armed bandit problem with similarity graph information. -
Parametric Differential Machine Learning (PDML) for Pricing and Calibration
The dataset used in this paper is a collection of samples of stochastic processes and functionals, used for training and testing the Parametric Differential Machine Learning... -
Sherpa: Robust Hyperparameter Optimization for Machine Learning
Sherpa is a hyperparameter optimization library for machine learning models. It is specifically designed for problems with computationally expensive, iterative function... -
EEG analytics for early detection of autism spectrum disorder
The dataset used in this study is a collection of EEG signals from individuals with Autism Spectrum Disorder (ASD) and typically developing individuals. -
Diagnosis of Autism through EEG processed by advanced computational algorithms
The dataset used in this study is a collection of EEG signals from individuals with Autism Spectrum Disorder (ASD) and typically developing individuals. -
EEG for Delineating Objective Measure of Autism Spectrum Disorder (ASD)
Autism Spectrum Disorder (ASD) is a developmental disorder that often impairs a child’s normal development of the brain. EEG measures the electric signals of the brain via...
