AI Papers

Deep Residual Learning for Image Recognition

Adam: A Method for Stochastic Optimization

ImageNet Classification with Deep CNNs (AlexNet)

Attention Is All You Need

BERT: Pre-training of Deep Bidirectional Transformers

Generative Adversarial Networks

Deep Learning (LeCun, Bengio, Hinton)

Language Models are Few-Shot Learners (GPT-3)

An Image is Worth 16x16 Words: Transformers for Vision

Sequence to Sequence Learning with Neural Networks

Highly accurate protein structure prediction with AlphaFold

Learning Transferable Visual Models from Natural Language (CLIP)

Highly Accurate Protein Structure Prediction with AlphaFold

Playing Atari with Deep Reinforcement Learning

Mastering the Game of Go with Deep Neural Networks

Model-Agnostic Meta-Learning (MAML)

Denoising Diffusion Probabilistic Models

GPT-4 Technical Report

Multiplex genome engineering using CRISPR/Cas systems

Proximal Policy Optimization Algorithms

High-Resolution Image Synthesis with Latent Diffusion Models

LLaMA: Open and Efficient Foundation Language Models

Accurate prediction of protein structures and interactions using a three-track neural network

DALL-E: Zero-Shot Text-to-Image Generation

Neural Architecture Search with Reinforcement Learning

Scaling Laws for Neural Language Models

Learning to Summarize from Human Feedback (RLHF)

Comprehensive single-cell transcriptional profiling of a multicellular organism

De novo design of protein structure and function with RFdiffusion

Constitutional AI: Harmlessness from AI Feedback