Nitish Srivastava
Google (United States)(US)Cornell University(US)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques, Domain Adaptation and Few-Shot Learning, Neural Networks and Applications
Most-Cited Works
- Dropout: a simple way to prevent neural networks from overfitting(2014)
- → Improving neural networks by preventing co-adaptation of feature detectors(2012)6,639 cited
- → Unsupervised Learning of Video Representations using LSTMs(2015)1,663 cited
- Multimodal Learning with Deep Boltzmann Machines(2012)
- Improving Neural Networks with Dropout(2013)
- → MatRaptor: A Sparse-Sparse Matrix Multiplication Accelerator Based on Row-Wise Product(2020)203 cited
- Learning Representations for Multimodal Data with Deep Belief Nets(2012)
- → Exploiting Image-trained CNN Architectures for Unconstrained Video Classification(2015)177 cited
- Discriminative Transfer Learning with Tree-based Priors(2013)
- → Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations(2020)118 cited