Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Deep Residual Learning for Image Recognition
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
DENOISING DIFFUSION IMPLICIT MODELS
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Auto-Encoding Variational Bayes
Autoencoders
Chemformer: a pre-trained transformer for computational chemistry
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback
CIForm as a Transformer-based model for cell-type annotation of large-scale single-cell RNA-seq data
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data
scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI
Benchmarking and integration of methods for deconvoluting spatial transcriptomic data
Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution
Cell2location maps fine-grained cell types in spatial transcriptomics
Estimation of cell lineages in tumors from spatial transcriptomics data
Insitutype: likelihood-based cell typing for single cell spatial transcriptomics
Museum of spatial transcriptomics
Robust decomposition of cell type mixtures in spatial transcriptomics
Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Spatial charting of single-cell transcriptomes in tissues
High resolution mapping of the breast cancer tumor microenvironment using integrated single cell, spatial and in situ analysis of FFPE tissue
LONG RANGE ARENA: A BENCHMARK FOR EFFICIENT TRANSFORMERS
Improving Language Understanding by Generative Pre-Training
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Attention Is All You Need
Hierarchical Text-Conditional Image Generation with CLIP Latents
Unsupervised Feature Learning via Non-Parametric Instance Discrimination
Momentum Contrast for Unsupervised Visual Representation Learning
A Simple Framework for Contrastive Learning of Visual Representations
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Imputing abundance of over 2500 surface proteins from single-cell transcriptomes with context-agnostic zero-shot deep ensembles
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization