Index of papers

69 reviewed papers · 30 tags

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

2023 ICML multimodal · vlm
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

2023 generative · diffusion
QLoRA: Efficient Finetuning of Quantized LLMs

2023 NeurIPS nlp · efficiency · finetuning
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

2022 NeurIPS nlp · reasoning
Classifier-Free Diffusion Guidance

2022 arXiv diffusion · generative
Flamingo: a Visual Language Model for Few-Shot Learning

2022 NeurIPS multimodal · vlm
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

2022 NeurIPS efficiency · attention
High-Resolution Image Synthesis with Latent Diffusion Models

2022 CVPR generative · diffusion · vision
Large Language Models are Zero-Shot Reasoners

2022 NeurIPS nlp · reasoning
Training Compute-Optimal Large Language Models

2022 DeepMind nlp · scaling
Training Language Models to Follow Instructions with Human Feedback

2022 NeurIPS nlp · rlhf · finetuning
Diffusion Models Beat GANs on Image Synthesis

2021 NeurIPS generative · diffusion · vision
Improved Denoising Diffusion Probabilistic Models

2021 ICML generative · diffusion
Learning Transferable Visual Models from Natural Language Supervision

2021 ICML multimodal · vlm · pretraining
LoRA: Low-Rank Adaptation of Large Language Models

2021 ICLR nlp · efficiency · finetuning
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

2021 ICCV vision · transformer
Zero-Shot Text-to-Image Generation

2021 ICML multimodal · generative · vision
An Image Is Worth 16x16 Words: Transformers for Image Recognition at Scale

2020 ICLR vision · transformer
Denoising Diffusion Implicit Models

2020 arXiv diffusion · generative
Denoising Diffusion Probabilistic Models

2020 arXiv diffusion · generative
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

2020 JMLR nlp · transformer · pretraining
Language Models are Few-Shot Learners

2020 NeurIPS nlp · transformer · scaling
Scaling Laws for Neural Language Models

2020 OpenAI nlp · scaling
Score-Based Generative Modeling through Stochastic Differential Equations

2020 ICLR generative · diffusion
A Style-Based Generator Architecture for Generative Adversarial Networks

2019 CVPR generative · gan · vision
Decoupled Weight Decay Regularization

2019 ICLR optimization · regularization
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

2019 ICML vision · cnn · efficiency
Language Models are Unsupervised Multitask Learners

2019 OpenAI nlp · transformer · pretraining
A General Reinforcement Learning Algorithm that Masters Chess, Shogi, and Go through Self-Play

2018 Science rl · search
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

2018 NAACL nlp · transformer · pretraining
Deep Contextualized Word Representations

2018 NAACL nlp · embeddings · pretraining
Group Normalization

2018 normalization · vision
Improving Language Understanding by Generative Pre-Training

2018 OpenAI nlp · transformer · pretraining
Attention Is All You Need

2017 NeurIPS nlp · transformer · attention
Deep Reinforcement Learning from Human Preferences

2017 NeurIPS rl · rlhf
Densely Connected Convolutional Networks

2017 CVPR vision · cnn
Density Estimation using Real NVP

2017 ICLR generative · flow
Instance Normalization: The Missing Ingredient for Fast Stylization

2017 normalization · vision
Mask R-CNN

2017 ICCV vision · segmentation · detection
Proximal Policy Optimization Algorithms

2017 arXiv rl · policy
Deep Residual Learning for Image Recognition

2016 IEEE vision · cnn · foundations
Layer Normalization

2016 normalization · foundations
Mastering the Game of Go with Deep Neural Networks and Tree Search

2016 Nature rl · search
You Only Look Once: Unified, Real-Time Object Detection

2016 CVPR vision · detection
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

2015 normalization · foundations
Deep Unsupervised Learning using Nonequilibrium Thermodynamics

2015 arXiv diffusion · generative
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

2015 ICCV optimization · initialization
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

2015 NeurIPS vision · detection
Going Deeper with Convolutions

2015 CVPR vision · cnn
Human-Level Control through Deep Reinforcement Learning

2015 Nature rl
U-Net: Convolutional Networks for Biomedical Image Segmentation

2015 MICCAI vision · segmentation · cnn
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

2015 ICLR generative · gan · vision
Adam: A Method for Stochastic Optimization

2014 ICLR optimization
Dropout: A Simple Way to Prevent Neural Networks from Overfitting

2014 JMLR optimization · regularization
Generative Adversarial Networks

2014 NeurIPS generative · gan
GloVe: Global Vectors for Word Representation

2014 EMNLP nlp · embeddings
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

2014 EMNLP nlp · sequence
Neural Machine Translation by Jointly Learning to Align and Translate

2014 ICLR nlp · attention
Sequence to Sequence Learning with Neural Networks

2014 NeurIPS nlp · sequence
Very Deep Convolutional Networks for Large-Scale Image Recognition

2014 ICLR vision · cnn
Auto-Encoding Variational Bayes

2013 ICLR generative · vae
Efficient Estimation of Word Representations in Vector Space

2013 ICLR Workshop nlp · embeddings
Representation Learning: A Review and New Perspectives

2013 IEEE TPAMI foundations
ImageNet Classification with Deep Convolutional Neural Networks

2012 NeurIPS vision · cnn
A Fast Learning Algorithm for Deep Belief Nets

2006 Neural Computation foundations · generative
Gradient-based learning applied to document recognition

1998 Proceedings of the IEEE vision · cnn · foundations
Long Short-Term Memory

1997 Neural Computation nlp · sequence
Learning Representations by Back-propagating Errors

1986 Nature foundations · optimization
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain

1958 Psychological Review foundations

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

QLoRA: Efficient Finetuning of Quantized LLMs

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Classifier-Free Diffusion Guidance

Flamingo: a Visual Language Model for Few-Shot Learning

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

High-Resolution Image Synthesis with Latent Diffusion Models

Large Language Models are Zero-Shot Reasoners

Training Compute-Optimal Large Language Models

Training Language Models to Follow Instructions with Human Feedback

Diffusion Models Beat GANs on Image Synthesis

Improved Denoising Diffusion Probabilistic Models

Learning Transferable Visual Models from Natural Language Supervision

LoRA: Low-Rank Adaptation of Large Language Models

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Zero-Shot Text-to-Image Generation

An Image Is Worth 16x16 Words: Transformers for Image Recognition at Scale

Denoising Diffusion Implicit Models

Denoising Diffusion Probabilistic Models

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Language Models are Few-Shot Learners

Scaling Laws for Neural Language Models

Score-Based Generative Modeling through Stochastic Differential Equations

A Style-Based Generator Architecture for Generative Adversarial Networks

Decoupled Weight Decay Regularization

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Language Models are Unsupervised Multitask Learners

A General Reinforcement Learning Algorithm that Masters Chess, Shogi, and Go through Self-Play

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Deep Contextualized Word Representations

Group Normalization

Improving Language Understanding by Generative Pre-Training

Attention Is All You Need

Deep Reinforcement Learning from Human Preferences

Densely Connected Convolutional Networks

Density Estimation using Real NVP

Instance Normalization: The Missing Ingredient for Fast Stylization

Mask R-CNN

Proximal Policy Optimization Algorithms

Deep Residual Learning for Image Recognition

Layer Normalization

Mastering the Game of Go with Deep Neural Networks and Tree Search

You Only Look Once: Unified, Real-Time Object Detection

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Going Deeper with Convolutions

Human-Level Control through Deep Reinforcement Learning

U-Net: Convolutional Networks for Biomedical Image Segmentation

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Adam: A Method for Stochastic Optimization

Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Generative Adversarial Networks

GloVe: Global Vectors for Word Representation

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Neural Machine Translation by Jointly Learning to Align and Translate

Sequence to Sequence Learning with Neural Networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

Auto-Encoding Variational Bayes

Efficient Estimation of Word Representations in Vector Space

Representation Learning: A Review and New Perspectives

ImageNet Classification with Deep Convolutional Neural Networks

A Fast Learning Algorithm for Deep Belief Nets

Gradient-based learning applied to document recognition

Long Short-Term Memory

Learning Representations by Back-propagating Errors

The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain