1.3k citations · 1.4k across the 3 of their papers we have counts for
3 papers
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel
Inspired by recent advances in multimodal learning and machine translation, we introduce an encoder-decoder pipeline that learns (a): a multimodal joint embedding space with images…
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations
Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov
In this paper we propose a general framework for learning distributed representations of attributes: characteristics of text whose representations can be jointly learned with word…
Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations
Yaoliang Yu, James Neufeld, Ryan Kiros +2
We demonstrate that almost all non-parametric dimensionality reduction methods can be expressed by a simple procedure: regularized loss minimization plus singular value truncation.…