Ryan Kiros
- Scalable Bayesian Optimization Using Deep Neural Networks
2015/02/19 by Jasper Snoek, Snoek, Jasper, Oren Rippel +15 · 2 voices · 58 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #stat.ML
- Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
2015/06/22 by Yukun Zhu, Ryan Kiros, Zhu, Yukun +12 · 2 voices · 76 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Video Analysis and Summarization #cs.CL #cs.CV
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
2015/02/10 by Kelvin Xu, Jimmy Ba, Xu, Kelvin +13 · 1 voice · 58 citations
#cs.LG #cs.CV
- Skip-Thought Vectors
2015/06/22 by Ryan Kiros, Yukun Zhu, Kiros, Ryan +11 · 1 voice · 57 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LG
- Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
2014/11/10 by Ryan Kiros, Ruslan Salakhutdinov, Kiros, Ryan +3 · 102 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- Exploring Models and Data for Image Question Answering
2015/05/08 by Mengye Ren, Ryan Kiros, Ren, Mengye +3 · 27 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
- Training Neural Networks with Stochastic Hessian-Free Optimization
2013/01/16 by Ryan Kiros, Kiros, Ryan · 3 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning