We propose a function-based temporal pooling method that captures the latent structure of
the video sequence data-eg, how frame-level features evolve over time in a video. We show …

We present a principled approach to uncover the structure of visual data by solving a novel
deep learning task coined visual permutation learning. The goal of this task is to find the …

Several tasks in machine learning are evaluated using non-differentiable metrics such as
mean average precision or Spearman correlation. However, their non-differentiability …

Nowadays, breast cancer is one of the most common cancers diagnosed in women.
Mammography is the standard screening imaging technique for the early detection of breast …

We present a principled approach to uncover the structure of visual data by solving a deep
learning task coined visual permutation learning. The goal of this task is to find the …

The creation of unstable heavy particles at the Large Hadron Collider is the most direct way
to address some of the deepest open questions in physics. Collisions typically produce …

Traffic congestion detection systems help manage traffic in crowded cities by analyzing
videos of vehicles. Existing systems largely depend on texture and motion features. Such …

Many machine learning tasks such as clustering, classification, and dataset search benefit
from embedding data points in a space where distances reflect notions of relative similarity …

Learning to rank is an important problem in many scenarios, such as information retrieval,
natural language processing, recommender systems, etc. The objective is to learn a function …

Cities with high population density have a serious problem with traffic congestion. Intelligent
transportation systems try to overcome these problems by finding smart ways to detect traffic …