In this work, we investigate models of natural high-resolution video sequences. We show that very simple models borrowed by language modeling applications are surprisingly effective at recovering shor...
In this work we ensemble several models and achieve state of the art accuracy for predicting the sentiment of movie reviews in the IMDB dataset.
We are interested in improving the quality and coverage of a knowledge graph through crowdsourcing features built into a social networking service. This work presents an approach to model user trust when prior history is lacking.
We describe two methods to collect translation pairs from public Facebook content. We use the extracted translation pairs as additional training data for machine translation systems and we can show significant improvements.
Modern Web services rely extensively upon a tier of in-memory caches to reduce request latencies and alleviate load on backend servers. Within a given cache, items are typically partitioned across cache servers via consistent hashing, with the goal of balancing the number of items maintained by each cache server. Effects of consistent hashing vary by associated hashing function and partitioning ratio. Most real-world workloads are also skewed, with some items significantly more popular than others. Inefficiency in addressing both issues can create an imbalance in cache-server loads. We analyze the degree of observed load imbalance, focusing on read-only traffic against Facebook’s graph cache tier in Tao. We investigate the principal causes of load imbalance, including data co-location, non-ideal hashing scenarios, and hot-spot temporal effects. We also employ trace-drive analytics to study the benefits and limitations of current load-balancing methods, suggesting areas for future research.
The HipHop Virtual Machine (HHVM) is a JIT compiler and runtime for PHP. While PHP values are dynamically typed, real programs often have latent types that are useful for optimization once discovered....
Facebook's corpus of photos, videos, and other Binary Large OBjects (BLOBs) that need to be reliably stored and quickly accessible is massive and continues to grow.
Current debugging and optimization methods scale poorly to deal with the complexity of modern Internet services, in which a single request triggers parallel execution of numerous heterogeneous softwar...
With the advent of increased computing on mobile devices such as phones and tablets, it has become crucial to pay attention to the energy consumption of mobile applications.
Poselets have been used in a variety of computer vision tasks, such as detection, segmentation, action classification, pose estimation and action recognition, often achieving state-of-the-art performa...
