
-
Amortized Variational Deep Q Network
Efficient exploration is one of the most important issues in deep reinfo...
read it
-
Recurrent Inference in Text Editing
In neural text editing, prevalent sequence-to-sequence based approaches ...
read it
-
Analyzing Who and What Appears in a Decade of US Cable TV News
Cable TV news reaches millions of U.S. households each day, meaning that...
read it
-
Vid2Player: Controllable Video Sprites that Behave and Appear like Professional Tennis Players
We present a system that converts annotated broadcast video of tennis ma...
read it
-
IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency
Multiple object tracking (MOT) is a crucial task in computer vision soci...
read it
-
Learning to be Global Optimizer
The advancement of artificial intelligence has cast a new light on the d...
read it
-
On Hyper-parameter Tuning for Stochastic Optimization Algorithms
This paper proposes the first-ever algorithmic framework for tuning hype...
read it
-
Adaptive Structural Hyper-Parameter Configuration by Q-Learning
Tuning hyper-parameters for evolutionary algorithms is an important issu...
read it
-
Eye in the Sky: Drone-Based Object Tracking and 3D Localization
Drones, or general UAVs, equipped with a single camera have been widely ...
read it
-
GetNet: Get Target Area for Image Pairing
Image pairing is an important research task in the field of computer vis...
read it
-
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels
Many real-world video analysis applications require the ability to ident...
read it
-
An Internal Learning Approach to Video Inpainting
We propose a novel video inpainting algorithm that simultaneously halluc...
read it
-
Simple Applications of BERT for Ad Hoc Document Retrieval
Following recent successes in applying BERT to question answering, we ex...
read it
-
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
We introduce, TextureNet, a neural network architecture designed to extr...
read it
-
Exploit the Connectivity: Multi-Object Tracking with TrackletNet
Multi-object tracking (MOT) is an important and practical task related t...
read it
-
Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval
This study uses a novel simulation framework to evaluate whether the tim...
read it
-
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering
Most work on natural language question answering today focuses on answer...
read it
-
Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams
Time is an important relevance signal when searching streams of social m...
read it