Research Specialization & Resources

Academic Network

Google Scholar Profile


Deep Learning Papers

CNNs & RNNs

  • Fully Convolutional Networks for Semantic Segmentation [PDF]
  • An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition [PDF]
  • Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition [PDF]

Transformers

  • Language Models are Few-Shot Learners [PDF]

Diffusion Models

  • Denoising Diffusion Probabilistic Models [PDF]
  • High-Resolution Image Synthesis with Latent Diffusion Models [PDF]

Graph Neural Networks

  • Semi-supervised Classification With Graph Convolutional Networks [PDF]

Generative Adversarial Networks

  • Conditional Generative Adversarial Nets [PDF]
  • Image-to-Image Translation with Conditional Adversarial Networks [PDF]

Reinforcement Learning


Scientific Research


Statistics & Sampling


Open Source Projects

Deep Learning Infrastructure

Datasets & Models


Interactive Demonstrations