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Tree Decay Stages Classification Dataset
The dataset used for training and testing the classification models for tree decay stages from combined airborne LiDAR data and CIR imagery. -
DINOv2: Learning robust visual features without supervision
The authors propose a method for self-supervised representation learning using knowledge distillation and vision transformers. -
Diffusion Classifier
The authors propose a method for zero-shot classification that leverages conditional density estimates from text-to-image diffusion models. -
Diffusion Models Beat GANs on Image Synthesis
Diffusion models have recently emerged as the state-of-the-art of generative modeling, demonstrating remarkable results in image synthesis and across other modalities. -
Diffusion Models and Representation Learning: A Survey
Diffusion Models are popular generative modeling methods in various vision tasks, attracting significant attention. They can be considered a unique instance of self-supervised... -
MISMATCH: Fine-grained Evaluation of Machine-generated Text
The dataset used in the paper for fine-grained evaluation of machine-generated text with mismatch error types. -
Amazon Photos
The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs. -
Amazon Computers
The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs. -
Synthetic Data
The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1]. -
Retrieving Labels for Noisy Input Patterns
Retrieving labels for noisy input patterns. -
Self-Organization to Exponential Capacity
Self-organization to exponential capacity. -
Robust Exponential Memory in Hopfield Networks
Robust exponential memory in Hopfield networks. -
Associative Content-Addressable Memory with Exponentially Many Robust Stable ...
Associative content-addressable memory with exponentially many robust stable states and robust error correction. -
REACTMINE: A Statistical Search Algorithm for Inferring Chemical Reactions fr...
Inferring chemical reaction networks (CRN) from concentration time series is a challenge encouraged by the growing availability of quantitative temporal data at the cellular level. -
Moving MNIST dataset
The Moving MNIST dataset consists of videos of MNIST digits. -
Iris dataset
The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples... -
Solar Dynamics Observatory (SDO) dataset
A machine-learning data set prepared from the NASA solar dynamics observatory mission. -
Dataset for Resonant Anomaly Detection
A dataset used for training and testing the autoencoder (AE) and Classification Without Labels (CWoLa) techniques for resonant anomaly detection.
