AI 科技评论按,AAAI 人工智能学术界的顶级会议。作为第三十三届会议,AAAI 2019 又一次刷新了人工智能会议的记录,投稿数量达到 7,700 篇,录用率 16.2%。
近日,百度(百度研究院)、京东(京东数据科学研究院)、华为(华为诺亚方舟实验室)也分别整理公布了各自的 AAAI 2019 收录论文,并发表了简介文章。下面我们简单列出他们的收录论文,更详细的介绍可以点击附带链接阅读他们各自的介绍文章。
华为诺亚方舟实验室埃德蒙顿团队
ACE: An Actor Ensemble Algorithm for Continuous Controlwith Tree Search
https://arxiv.org/abs/1811.02696
QUOTA: The Quantile Option Architecturefor Reinforcement Learning
https://arxiv.org/abs/1811.02073
详细介绍请点击:
京东 AI
机器学习
AutoZOOM: Auto encoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
https://pan.wps.cn/l/steqcro%20;
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons
https://pan.wps.cn/l/s7ivylk%20;
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
https://pan.wps.cn/l/s87r4mq%20;
Attentive Tensor Product Learning
https://pan.wps.cn/l/s6pb4wb%20;
计算机视觉
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation
https://pan.wps.cn/l/srxdl7u%20;
Structured Two-stream Attention Network for Video Question Answering
https://pan.wps.cn/l/suy1wh4%20;
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression
https://pan.wps.cn/l/s0ydo6b%20;
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
https://pan.wps.cn/l/s225cg7%20;
详细介绍请点击:
百度
Modeling Coherence for Discourse Neural Machine Translation
Joint Representation Learning for Multi-Modal Transportation Recommendation
SpHMC: Spectral Hamiltonian Monte Carlo
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos
Addressing the Under-translation Problem from the Entropy Perspective
Understanding Story Characters, Movie Actors and Their Versatility with Gaussian Representations
Joint Extraction of Entities and Overlapping Relations using Position-Attentive Sequence Labeling
Oversampling for Imbalanced Data via Optimal Transport
Multi-agent Discussion Mechanism for Natural Language Generation
Sign-Full Random Projections
Interactive Attention Transfer Network for Cross-domain Sentiment Classification
Exploiting the Contagious Effect for Employee Turnover Prediction
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding
详细介绍请点击: