AAAI

On Adaptivity in Information-constrained Online Learning

Siddharth Mitra, Aditya Gopalan

Comments 34th AAAI Conference on Artificial Intelligence (AAAI 2020). Short version at 11th Optimization for Machine Learning workshop (OPT 2019)

Posterior-Guided Neural Architecture Search

Yizhou Zhou, Xiaoyan Sun, Chong Luo, Zheng-Jun Zha, Wenjun Zeng

Comments Accepted by AAAI 2020

Nonlinear System Identification via Tensor Completion

Nikos Kargas, Nicholas D. Sidiropoulos

Comments AAAI 2020

Representing Closed Transformation Paths in Encoded Network Latent Space

Marissa Connor, Christopher Rozell

Comments Accepted at AAAI 2020

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

Tong Teng, Jie Chen, Yehong Zhang, Kian Hsiang Low

Comments 34th AAAI Conference on Artificial Intelligence (AAAI 2020), Extended version with derivations, 12 pages

Reinforcement Learning with Non-Markovian Rewards

Maor Gaon, Ronen I. Brafman

Comments To Appear in AAAI 2020

Online Knowledge Distillation with Diverse Peers

Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen

Comments Accepted to AAAI-2020

ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems

Philippe Wenk, Gabriele Abbati, Michael A Osborne, Bernhard Schölkopf, Andreas Krause, Stefan Bauer

Comments Published at the Thirty-fourth AAAI Conference on Artificial Intelligence

Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution

Yang You, Yujing Lou, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Cewu Lu, Weiming Wang

Comments 8 pages, to appear on AAAI 2020

Improving Policies via Search in Cooperative Partially Observable Games

Adam Lerer, Hengyuan Hu, Jakob Foerster, Noam Brown

Journal ref AAAI 2020

Learning from Interventions using Hierarchical Policies for Safe Learning

Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu

Comments Accepted for publication at the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)

Object-Oriented Dynamics Learning through Multi-Level Abstraction

Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang

Comments Accepted to the Thirthy-Fourth AAAI Conference On Artificial Intelligence (AAAI), 2020

Protecting Geolocation Privacy of Photo Collections

Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik

Comments AAAI 20

Adversarial Domain Adaptation with Domain Mixup

Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang

Comments Accepted as oral presentation at 34th AAAI Conference on Artificial Intelligence, 2020

Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets

Fanchao Qi, Liang Chang, Maosong Sun, Sicong Ouyang, Zhiyuan Liu

Comments Accepted by AAAI Conference on Artificial Intelligence 2020 for oral presentation

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning

Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han

Comments 9 pages, 5 figures, AAAI 2020 accepted

Unified Vision-Language Pre-Training for Image Captioning and VQA

Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao

Comments AAAI 2020 camera-ready version. The code and the pre-trained models are available at https://github.com/LuoweiZhou/VLP

Path Planning Problems with Side Observations-When Colonels Play Hide-and-Seek

Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh

Comments Previously, this work appeared as arXiv:1911.09023 which was mistakenly submitted as a new article (has been submitted to be withdrawn). This is a preprint of the work published in Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI)

Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking

Timo Schick, Hinrich Schütze

Comments To appear at AAAI 2020

Zero Shot Learning with the Isoperimetric Loss

Shay Deutsch, Andrea Bertozzi, Stefano Soatto

Comments Accepted to AAAI-20

A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples

Qiang Zeng, Jianhai Su, Chenglong Fu, Golam Kayas, Lannan Luo

Comments 8 pages, 4 figures, AICS 2019, The AAAI-19 Workshop on Artificial Intelligence for Cyber Security (AICS), 2019

Journal ref The AAAI-19 Workshop on Artificial Intelligence for Cyber Security (AICS), 2019

Deep Metric Learning by Online Soft Mining and Class-Aware Attention

Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil M. Robertson

Comments Learning Robust Representations, Deep Metric Learning, Person Re-identification (AAAI 2019 Oral) Code: https://github.com/XinshaoAmosWang/OSM_CAA_WeightedContrastiveLoss

Towards an Integrative Educational Recommender for Lifelong Learners

Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor

Comments In Proceedings of AAAI Conference on Artificial Intelligence 2020

Knowledge-Enriched Visual Storytelling

Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao 'Kenneth' Huang, Lun-Wei Ku

Comments AAAI 2020

Sanity Checks for Saliency Metrics

Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun Preece

Comments Accepted for publication at the Thirty Fourth AAAI conference on Artificial Intelligence (AAAI-20)

Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification

Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li

Comments Accepted by AAAi 2020

Modelling Semantic Categories using Conceptual Neighborhood

Zied Bouraoui, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert

Comments Accepted to AAAI 2020

Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation

Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo

Comments Accepted as a conference paper at AAAI 2020 (oral presentation)

Rank Aggregation via Heterogeneous Thurstone Preference Models

Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud

Comments 36 pages, 2 figures, 8 tables. In AAAI 2020

Importance-Aware Learning for Neural Headline Editing

Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu

Comments AAAI 2020