AAAI 2020

1,794 papers

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks

Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai

Random Fourier Features via Fast Surrogate Leverage Weighted Sampling

Fanghui Liu, Xiaolin Huang, Yudong Chen, jie Yang, Johan Suykens

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization

Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal

Differentiable Algorithm for Marginalising Changepoints

Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang

Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise

Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang

LMLFM: Longitudinal Multi-Level Factorization Machine

Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant Honavar

Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction

Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung

Adaptive Two-Dimensional Embedded Image Clustering

Zhihui Li, Lina Yao, Sen Wang, Salil Kanhere, Xue Li

Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework

Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou

RTN: Reparameterized Ternary Network

Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen

Learning Signed Network Embedding via Graph Attention

Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang

Efficient Automatic CASH via Rising Bandits

Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang

A Forest from the Trees: Generation through Neighborhoods

Yang Li, Tianxiang Gao, Junier Oliva

IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation

Xiaoyun Li, Chenxi Wu, Ping Li

On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks

Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu

FlowScope: Spotting Money Laundering Based on Graphs

Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi

Do Subsampled Newton Methods Work for High-Dimensional Data?

Xiang Li, Shusen Wang, Zhihua Zhang

Understanding the Disharmony between Weight Normalization Family and Weight Decay

Xiang Li, Shuo Chen, Jian Yang

Neural Graph Embedding for Neural Architecture Search

Wei Li, Shaogang Gong, Xiatian Zhu

Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks

Tianbo Li, Yiping Ke

Co-GCN for Multi-View Semi-Supervised Learning

Shu Li, Wen-Tao Li, Wei Wang

Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning

Shuheng Li, Dezhi Hong, Hongning Wang

Stochastic Online Learning with Probabilistic Graph Feedback

Shuai Li, Wei Chen, Zheng Wen, Kwong-sak Leung

Coupled-View Deep Classifier Learning from Multiple Noisy Annotators

Shikun Li, Shiming Ge, Yingying Hua, Chunhui Zhang, Hao Wen

Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold

Shengxi Li, Zeyang Yu, Min Xiang, Danilo Mandic

New Efficient Multi-Spike Learning for Fast Processing and Robust Learning

Shenglan Li, Qiang Yu

Practical Federated Gradient Boosting Decision Trees

Qinbin Li, Zeyi Wen, Bingsheng He

Symmetric Metric Learning with Adaptive Margin for Recommendation

Mingming Li, SHUAI ZHANG, Fuqing Zhu, Wanhui Qian, Liangjun Zang

Graph Attention Based Proposal 3D ConvNets for Action Detection

Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang

Automated Spectral Kernel Learning

Jian Li, Yong Liu, Weiping Wang

Infrared-Visible Cross-Modal Person Re-Identification with an X Modality

Diangang Li, Xing Wei, Xiaopeng Hong, Yihong Gong

Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling

CHAO LI, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han

Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval

Dung D. Le, Hady W. Lauw

Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation

Alexander Levine, Soheil Feizi

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents

Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar

URNet: User-Resizable Residual Networks with Conditional Gating Module

Sangho Lee, Simyung Chang, Nojun Kwak

Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients

Jongmin Lee, Wonseok Jeon, Geon-hyeong Kim, Kee-eung Kim

Residual Continual Learning

Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim

Residual Neural Processes

Byung-Jun Lee, Seunghoon Hong, Kee-eung Kim

Proximity Preserving Binary Code Using Signed Graph-Cut

Inbal Lavi, Shai Avidan, Yoram Singer, Yacov Hel-Or

A Simple and Efficient Tensor Calculus

Sören Laue, Matthias Mitterreiter, Joachim Giesen

Improved Subsampled Randomized Hadamard Transform for Linear SVM

Zijian Lei, Liang Lan

Correcting Predictions for Approximate Bayesian Inference

Tomasz Kuśmierczyk, Joseph Sakaya, Arto Klami

Google Research Football: A Novel Reinforcement Learning Environment

Karol Kurach, Anton Raichuk, Piotr Stańczyk, Michał Zając, Olivier Bachem

Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation

Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt

Stable Prediction with Model Misspecification and Agnostic Distribution Shift

Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

Learning Student Networks with Few Data

Shumin Kong, Tianyu Guo, Shan You, Chang Xu

A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains

Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan

Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks

Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe

Options of Interest: Temporal Abstraction with Interest Functions

Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup

Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy

Ramtin Keramati, Christoph Dann, Alex Tamkin, Emma Brunskill

Gradient Boosts the Approximate Vanishing Ideal

Hiroshi Kera, Yoshihiko Hasegawa

Nonlinear System Identification via Tensor Completion

Nikos Kargas, Nicholas D. Sidiropoulos

Large-Scale Multi-View Subspace Clustering in Linear Time

Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han

Towards Oracle Knowledge Distillation with Neural Architecture Search

Minsoo Kang, Jonghwan Mun, Bohyung Han

Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks

Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi

More Accurate Learning of k-DNF Reference Classes

Brendan Juba, Hengxuan Li

InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models

Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Pokuri, Soumik Sarkar

Dynamic Instance Normalization for Arbitrary Style Transfer

Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding

GraLSP: Graph Neural Networks with Local Structural Patterns

Yilun Jin, Guojie Song, Chuan Shi

Rank Aggregation via Heterogeneous Thurstone Preference Models

Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud

Long Short-Term Sample Distillation

Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo

Generative Exploration and Exploitation

Jiechuan Jiang, Zongqing Lu

Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction

Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare

Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data

Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

Maximum Margin Multi-Dimensional Classification

Bin-Bin Jia, Min-ling Zhang

Sequential Recommendation with Relation-Aware Kernelized Self-Attention

Mingi Ji, Weonyoung Joo, Kyungwoo Song, Yoon-Yeong Kim, Il-chul Moon

DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets

Yonghyun Jeong, Hyunjin Choi, Byoungjip Kim, Youngjune Gwon

An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks

Giyoung Jeon, Haedong Jeong, Jaesik Choi

Bounding Regret in Empirical Games

Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh

Invariant Representations through Adversarial Forgetting

Ayush Jaiswal, Daniel Moyer, Greg Ver Steeg, Wael AbdAlmageed, Premkumar Natarajan

Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles

Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford

Class Prior Estimation with Biased Positives and Unlabeled Examples

Shantanu Jain, Justin Delano, Himanshu Sharma, Predrag Radivojac

Co-Occurrence Estimation from Aggregated Data with Auxiliary Information

Tomoharu Iwata, Naoki Marumo

Semi-Supervised Learning for Maximizing the Partial AUC

Tomoharu Iwata, Akinori Fujino, Naonori Ueda

Word-Level Contextual Sentiment Analysis with Interpretability

Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi

Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization

Xuan Huo, Ming Li, Zhi-Hua Zhou

Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning

Binyuan Hui, Pengfei Zhu, Qinghua Hu

DIANet: Dense-and-Implicit Attention Network

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

Meta-Learning PAC-Bayes Priors in Model Averaging

Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li

Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks

Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang

Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks

Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang

DWM: A Decomposable Winograd Method for Convolution Acceleration

Di Huang, xishan zhang, Rui Zhang, Tian Zhi, Deyuan He

Towards Interpretation of Pairwise Learning

Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang

Query-Driven Multi-Instance Learning

Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Tyng-luh Liu

TellTail: Fast Scoring and Detection of Dense Subgraphs

Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos

End-to-End Unpaired Image Denoising with Conditional Adversarial Networks

Zhiwei Hong, Xiaocheng Fan, Tao Jiang, Jianxing Feng

An Attention-Based Graph Neural Network for Heterogeneous Structural Learning

Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li

Reasoning on Knowledge Graphs with Debate Dynamics

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin

Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory

Kyle Helfrich, Qiang Ye

EPOC: Efficient Perception via Optimal Communication

Masoumeh Heidari Kapourchali, Bonny Banerjee

Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data

Yuwei He, Xiaoming Jin, guiguang ding, Yuchen Guo, Jungong Han

SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation

Tao He, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang

Interpretable and Differentially Private Predictions

Frederik Harder, Matthias Bauer, Mijung Park

Robust Federated Learning via Collaborative Machine Teaching

Yufei Han, Xiangliang Zhang

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation

Mohammad Hamghalam, Baiying Lei, Tianfu Wang

AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning

Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing

IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience

Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yu-feng Li, Nan Ma

Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification

Hongyu Guo