Here is a curated list of some of the most influential papers in the field of deep learning. Enjoy exploring the cutting-edge research in this exciting field!

  • Image Classification with Deep Convolutional Neural Networks - This seminal paper by Krizhevsky et al. introduces the AlexNet architecture, which won the ImageNet competition in 2012 and kickstarted the deep learning revolution. Read More

  • Sequence to Sequence Learning with Neural Networks - This paper by Sutskever et al. introduces the seq2seq model, which has been widely used in tasks like machine translation and speech recognition. Read More

  • Attention Is All You Need - This paper by Vaswani et al. introduces the Transformer architecture, which has become the standard for many NLP tasks. Read More

  • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding - This paper by Devlin et al. introduces BERT, a pre-trained language representation model that has significantly improved the performance of various NLP tasks. Read More

Deep Learning Image

  • Generative Adversarial Nets - This paper by Goodfellow et al. introduces the GAN framework, which has been widely used in image generation, video generation, and other areas. Read More

  • Recurrent Neural Networks for Language Modeling - This paper by Bengio et al. introduces the LSTM architecture, which has been widely used in tasks like language modeling and machine translation. Read More

Recurrent Neural Network

  • Long Short-Term Memory - This paper by Hochreiter and Schmidhuber introduces the LSTM architecture, which has been widely used in tasks like language modeling and machine translation. Read More

LSTM Architecture

  • Deep Learning for Computer Vision: A Review - This paper provides a comprehensive review of deep learning techniques for computer vision. Read More

Computer Vision

  • Deep Learning for Natural Language Processing: A Survey - This paper provides a comprehensive survey of deep learning techniques for natural language processing. Read More

Natural Language Processing

  • Deep Learning for Reinforcement Learning - This paper provides an overview of deep learning techniques for reinforcement learning. Read More

Reinforcement Learning

We hope this list helps you dive deeper into the world of deep learning. If you're interested in more resources, check out our Deep Learning Tutorial.