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Learning to summarize with human feedback
The paper presents a study on the impact of synthetic data on large language models (LLMs) and proposes a method to steer LLMs towards desirable non-differentiable attributes. -
Reward Model Ensembles
The authors used three datasets: TL;DR, HELPFULNESS, and XSUM/NLI. -
Stochastic Trust Region and Cubic Regularization Methods for Non-convex Optim...
The dataset used in this paper is a finite-sum minimization problem, where each sample is a convex quadratic function. -
Efficient correlation-based discretization of continuous variables for anneal...
The dataset used for the proposed efficient correlation-based discretization method for annealing machines. -
Iterative Teaching by Data Hallucination
The dataset used in the paper for iterative teaching by data hallucination. -
Lifelong-CIFAR10 and Lifelong-ImageNet
Lifelong-CIFAR10 and Lifelong-ImageNet are ever-expanding pools of test samples designed to enhance the robustness of current benchmarks by mitigating the issue of overfitting... -
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.
