Home /
Research
Showing 709 - 714 / 904
Performative Prediction in a Stateful World
GavinBrown, ShlomiHod, IdenKalemaj....
Published date-11/08/2020
Deployed supervised machine learning models make predictions that interact with and influence the world. This phenomenon is called "performative prediction" by Perdomo et al. (2020), who investigated it in a …
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages
SatwikBhattamishra, KabirAhuja, NavinGoyal....
Published date-11/08/2020
While recurrent models have been effective in NLP tasks, their performance on context-free languages (CFLs) has been found to be quite weak. Given that CFLs are believed to capture important …
Adaptive Linear Span Network for Object Skeleton Detection
ChangLiu, YunjieTian, JianbinJiao....
Published date-11/08/2020
EdgeDetection, NeuralArchitectureSearch, ObjectSkeletonDetection
Conventional networks for object skeleton detection are usually hand-crafted. Although effective, they require intensive priori knowledge to configure representative features for objects in different scale granularity.In this paper, we propose …
Integrating Human Gaze into Attention for Egocentric Activity Recognition
KyleMin, JasonJ.Corso....
Published date-11/08/2020
ActionRecognition, EgocentricActivityRecognition
It is well known that human gaze carries significant information about visual attention. However, there are three main difficulties in incorporating the gaze data in an attention mechanism of deep …
Adapting a Language Model for Controlled Affective Text Generation
IshikaSingh, AhsanBarkati, TusharGoswamy....
Published date-11/08/2020
LanguageModelling, TextGeneration
Human use language not just to convey information but also to express their inner feelings and mental states. In this work, we adapt the state-of-the-art language generation models to generate …
An HVS-Oriented Saliency Map Prediction Modeling
QiangLi....
Published date-11/08/2020
SaliencyPrediction
Visual attention is one of the most significant characteristics for selecting and understanding the outside world. The nature complex scenes, including larger redundancy and human vision, can't be processing all …