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42 papers · 1 filter
Learning Visual N-Grams from Web Data
Ang Li, Allan Jabri, Armand Joulin +1
Real-world image recognition systems need to recognize tens of thousands of classes that constitute a plethora of visual concepts. The traditional approach of annotating thousands…
Language Modeling with Gated Convolutional Networks
Yann N. Dauphin, Angela Fan, Michael Auli +1
The pre-dominant approach to language modeling to date is based on recurrent neural networks. Their success on this task is often linked to their ability to capture unbounded conte…
On Dominance-Free Samples of a (Colored) Stochastic Dataset
Jie Xue, Yuan Li
A point is said to dominate another point if the coordinate of is greater than or equal to the coordinate of in every dimension. A…
Temporal Tessellation: A Unified Approach for Video Analysis
Dotan Kaufman, Gil Levi, Tal Hassner +1
We present a general approach to video understanding, inspired by semantic transfer techniques that have been successfully used for 2D image analysis. Our method considers a video…
Learning Features by Watching Objects Move
Deepak Pathak, Ross Girshick, Piotr Dollár +2
This paper presents a novel yet intuitive approach to unsupervised feature learning. Inspired by the human visual system, we explore whether low-level motion-based grouping cues ca…
Tracking the World State with Recurrent Entity Networks
Mikael Henaff, Jason Weston, Arthur Szlam +2
We introduce a new model, the Recurrent Entity Network (EntNet). It is equipped with a dynamic long-term memory which allows it to maintain and update a representation of the state…