Yang Gao

Automatic Data Augmentation by Learning the Deterministic Policy

Aiming to produce sufficient and diverse training samples, data augmenta...
10/18/2019 ∙ by Yinghuan Shi, et al. ∙ 53 ∙ share

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Risk Averse Robust Adversarial Reinforcement Learning

Deep reinforcement learning has recently made significant progress in so...
03/31/2019 ∙ by Xinlei Pan, et al. ∙ 18 ∙ share

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From Few to More: Large-scale Dynamic Multiagent Curriculum Learning

A lot of efforts have been devoted to investigating how agents can learn...
09/06/2019 ∙ by Weixun Wang, et al. ∙ 14 ∙ share

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CariGAN: Caricature Generation through Weakly Paired Adversarial Learning

Caricature generation is an interesting yet challenging task. The primar...
11/01/2018 ∙ by Wenbin Li, et al. ∙ 12 ∙ share

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Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization

Humans can learn task-agnostic priors from interactive experience and ut...
10/17/2019 ∙ by Huazhe Xu, et al. ∙ 8 ∙ share

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Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification

In person re-identification (Re-ID), supervised methods usually need a l...
08/02/2019 ∙ by Lei Qi, et al. ∙ 3 ∙ share

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Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning

Due to low tissue contrast, irregular object appearance, and unpredictab...
04/27/2018 ∙ by Jinquan Sun, et al. ∙ 2 ∙ share

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A Parallel Optical Image Security System with Cascaded Phase-only Masks

In many previous works, a cascaded phase-only mask (or phase-only hologr...
02/21/2019 ∙ by Shuming Jiao, et al. ∙ 2 ∙ share

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Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering

On-orbit proximity operations in space rendezvous, docking and debris re...
07/09/2019 ∙ by Pedro F. Proença, et al. ∙ 1 ∙ share

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A Labelling Framework for Probabilistic Argumentation

The combination of argumentation and probability paves the way to new ac...
08/01/2017 ∙ by Regis Riveret, et al. ∙ 0 ∙ share

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SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion

Active depth cameras suffer from several limitations, which cause incomp...
08/09/2017 ∙ by Pedro F. Proença, et al. ∙ 0 ∙ share

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Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty

This work proposes a robust visual odometry method for structured enviro...
06/13/2017 ∙ by Pedro F. Proença, et al. ∙ 0 ∙ share

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Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry

This work proposes a visual odometry method that combines points and pla...
05/18/2017 ∙ by Pedro F. Proença, et al. ∙ 0 ∙ share

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WebCaricature: a benchmark for caricature face recognition

Caricatures are facial drawings by artists with exaggeration on certain ...
03/09/2017 ∙ by Jing Huo, et al. ∙ 0 ∙ share

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Multi-agent Reinforcement Learning with Sparse Interactions by Negotiation and Knowledge Transfer

Reinforcement learning has significant applications for multi-agent syst...
08/21/2015 ∙ by Luowei Zhou, et al. ∙ 0 ∙ share

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End-to-end Learning of Driving Models from Large-scale Video Datasets

Robust perception-action models should be learned from training data wit...
12/04/2016 ∙ by Huazhe Xu, et al. ∙ 0 ∙ share

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Streaming Gibbs Sampling for LDA Model

Streaming variational Bayes (SVB) is successful in learning LDA models i...
01/06/2016 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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OPML: A One-Pass Closed-Form Solution for Online Metric Learning

To achieve a low computational cost when performing online metric learni...
09/29/2016 ∙ by Wenbin Li, et al. ∙ 0 ∙ share

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Towards Big Topic Modeling

To solve the big topic modeling problem, we need to reduce both time and...
11/17/2013 ∙ by Jian-Feng Yan, et al. ∙ 0 ∙ share

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Interactive Visual Exploration of Halos in Large Scale Cosmology Simulation

Halo is one of the most important basic elements in cosmology simulation...
12/25/2014 ∙ by Guihua Shan, et al. ∙ 0 ∙ share

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Using Argument-based Features to Predict and Analyse Review Helpfulness

We study the helpful product reviews identification problem in this pape...
07/23/2017 ∙ by Haijing Liu, et al. ∙ 0 ∙ share

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Joint RNN Model for Argument Component Boundary Detection

Argument Component Boundary Detection (ACBD) is an important sub-task in...
05/05/2017 ∙ by Minglan Li, et al. ∙ 0 ∙ share

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Crowdsourcing Argumentation Structures in Chinese Hotel Reviews

Argumentation mining aims at automatically extracting the premises-claim...
05/05/2017 ∙ by Mengxue Li, et al. ∙ 0 ∙ share

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Reinforcement Learning Based Argument Component Detection

Argument component detection (ACD) is an important sub-task in argumenta...
02/21/2017 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry

This paper presents CAPE, a method to extract planes and cylinder segmen...
03/06/2018 ∙ by Pedro F. Proença, et al. ∙ 0 ∙ share

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Reinforcement Learning from Imperfect Demonstrations

Robust real-world learning should benefit from both demonstrations and i...
02/14/2018 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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Scale Optimization for Full-Image-CNN Vehicle Detection

Many state-of-the-art general object detection methods make use of share...
02/20/2018 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification

In this paper, a novel mask based deep ranking neural network with skipp...
04/11/2018 ∙ by Lei Qi, et al. ∙ 0 ∙ share

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Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images

Due to the irregular motion, similar appearance and diverse shape, accur...
04/27/2018 ∙ by Qian Yu, et al. ∙ 0 ∙ share

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Cross-Domain Adversarial Auto-Encoder

In this paper, we propose the Cross-Domain Adversarial Auto-Encoder (CDA...
04/17/2018 ∙ by Haodi Hou, et al. ∙ 0 ∙ share

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Speaker identification from the sound of the human breath

This paper examines the speaker identification potential of breath sound...
12/01/2017 ∙ by Wenbo Zhao, et al. ∙ 0 ∙ share

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Online Deep Metric Learning

Metric learning learns a metric function from training data to calculate...
05/15/2018 ∙ by Wenbin Li, et al. ∙ 0 ∙ share

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Voice Impersonation using Generative Adversarial Networks

Voice impersonation is not the same as voice transformation, although th...
02/19/2018 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning

We propose a method to perform automatic document summarisation without ...
08/29/2018 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics

When performing data classification over a stream of continuously occurr...
09/27/2018 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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Does My Rebuttal Matter? Insights from a Major NLP Conference

Peer review is a core element of the scientific process, particularly in...
03/27/2019 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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Hierarchical Routing Mixture of Experts

In regression tasks the distribution of the data is often too complex to...
03/18/2019 ∙ by Wenbo Zhao, et al. ∙ 0 ∙ share

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Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

Few-shot learning in image classification aims to learn a classifier to ...
03/28/2019 ∙ by Wenbin Li, et al. ∙ 0 ∙ share

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Thinkey: A Scalable Blockchain Architecture

This paper presents Thinkey, an efficient, secure, infinitely scalable a...
04/09/2019 ∙ by Shan Chen, et al. ∙ 0 ∙ share

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A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification

Unsupervised cross-domain person re-identification (Re-ID) faces two key...
04/06/2019 ∙ by Lei Qi, et al. ∙ 0 ∙ share

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Optical machine learning with incoherent light and a single-pixel detector

The concept of optical diffractive neural network (DNN) is proposed rece...
04/24/2019 ∙ by Shuming Jiao, et al. ∙ 0 ∙ share

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Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation

Conducting a manual evaluation is considered an essential part of summar...
04/11/2019 ∙ by Ori Shapira, et al. ∙ 0 ∙ share

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GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

Graph Neural Networks (GNNs) have been popularly used for analyzing non-...
04/22/2019 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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NAS-FCOS: Fast Neural Architecture Search for Object Detection

The success of deep neural networks relies on significant architecture e...
06/11/2019 ∙ by Ning Wang, et al. ∙ 0 ∙ share

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Preference-based Interactive Multi-Document Summarisation

Interactive NLP is a promising paradigm to close the gap between automat...
06/07/2019 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging

In many previous works, a single-pixel imaging (SPI) system is construct...
05/31/2019 ∙ by Shuming Jiao, et al. ∙ 0 ∙ share

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Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation

Document summarisation can be formulated as a sequential decision-making...
07/30/2019 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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Better Rewards Yield Better Summaries: Learning to Summarise Without References

Reinforcement Learning (RL) based document summarisation systems yield s...
09/03/2019 ∙ by Florian Böhm, et al. ∙ 0 ∙ share

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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

A robust evaluation metric has a profound impact on the development of t...
09/05/2019 ∙ by Wei Zhao, et al. ∙ 0 ∙ share

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Action Semantics Network: Considering the Effects of Actions in Multiagent Systems

In multiagent systems (MASs), each agent makes individual decisions but ...
07/26/2019 ∙ by Weixun Wang, et al. ∙ 0 ∙ share

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Yang Gao

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