AAAI 2020

1,794 papers

Structure-Aware Feature Fusion for Unsupervised Domain Adaptation

Qingchao Chen, Yang Liu

Diversity Transfer Network for Few-Shot Learning

Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng

Rethinking the Bottom-Up Framework for Query-Based Video Localization

Long Chen, Chujie Lu, Siliang Tang, Jun Xiao, Dong Zhang

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network

Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo

End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking

Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang

Binarized Neural Architecture Search

Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu

Hierarchical Online Instance Matching for Person Search

Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Bernt Schiele

Learning Deep Relations to Promote Saliency Detection

Changrui Chen, Xin Sun, Yang Hua, Junyu Dong, Hongwei Xv

General Partial Label Learning via Dual Bipartite Graph Autoencoder

Brian Chen, Bo Wu, Alireza Zareian, Hanwang Zhang, Shih-fu Chang

Feature Deformation Meta-Networks in Image Captioning of Novel Objects

Tingjia Cao, Ke Han, Xiaomei Wang, Lin Ma, Yanwei Fu

Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis

Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen

Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation

Yingjie Cai, Buyu Li, Zeyu Jiao, hongsheng Li, Xingyu Zeng

Incremental Multi-Domain Learning with Network Latent Tensor Factorization

Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic

Detecting Human-Object Interactions via Functional Generalization

Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa

PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation

Kyungjune Baek, Minhyun Lee, Hyunjung Shim

Ultrafast Photorealistic Style Transfer via Neural Architecture Search

Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo

A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning

Peirong Ma, Xiao Hu

Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge

Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia

Visual Tactile Fusion Object Clustering

Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhenming Ding

Modular Robot Design Synthesis with Deep Reinforcement Learning

Julian Whitman, Raunaq Bhirangi, Matthew Travers, Howie Choset

Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms

Ruchen Wen, Mohammed Aun Siddiqui, Tom Williams

RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization

Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li

AtLoc: Attention Guided Camera Localization

Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni

Task and Motion Planning Is PSPACE-Complete

William Vega-Brown, Nicholas Roy

Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments

Yaniv Oshrat, Noa Agmon, Sarit Kraus

Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching

peng gao, Hao Zhang

On the Problem of Covering a 3-D Terrain

Eduard Eiben, Isuru Godage, Iyad Kanj, Ge Xia

Learning from Interventions Using Hierarchical Policies for Safe Learning

Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu

That and There: Judging the Intent of Pointing Actions with Robotic Arms

Malihe Alikhani, Baber Khalid, Rahul Shome, Chaitanya Mitash, Kostas Bekris

Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series

Tan Zhi-Xuan, Harold Soh, Desmond Ong

Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement

Qi Zhang, Edmund Durfee, Satinder Singh

A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models

Chi Zhang, Bryant Chen, Judea Pearl

A New Framework for Online Testing of Heterogeneous Treatment Effect

Miao Yu, Wenbin Lu, Rui Song

Recovering Causal Structures from Low-Order Conditional Independencies

Marcel Wienöbst, Maciej Liśkiewicz

Gradient-Based Optimization for Bayesian Preference Elicitation

Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier

Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs

Efthymia Tsamoura, Víctor Gutiérrez-Basulto, Angelika Kimmig

Off-Policy Evaluation in Partially Observable Environments

Guy Tennenholtz, Uri Shalit, Shie Mannor

BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic

Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor

Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference

Sriram Srinivasan, Eriq Augustine, Lise Getoor

Few-Shot Bayesian Imitation Learning with Logical Program Policies

Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum

Adversarial Disentanglement with Grouped Observations

Jozsef Nemeth

Experimental Design for Optimization of Orthogonal Projection Pursuit Models

Mojmir Mutny, Johannes Kirschner, Andreas Krause

Parallel AND/OR Search for Marginal MAP

Radu Marinescu, Akihiro Kishimoto, Adi Botea

Temporal Logics Over Finite Traces with Uncertainty

Fabrizio M Maggi, Marco Montali, Rafael Peñaloza

General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains

Sanghack Lee, Juan Correa, Elias Bareinboim

Safe Linear Stochastic Bandits

Kia Khezeli, Eilyan Bitar

Error-Correcting and Verifiable Parallel Inference in Graphical Models

Negin Karimi, Petteri Kaski, Mikko Koivisto

Estimating Causal Effects Using Weighting-Based Estimators

Yonghan Jung, Jin Tian, Elias Bareinboim

The Choice Function Framework for Online Policy Improvement

Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli

Probabilistic Reasoning Across the Causal Hierarchy

Duligur Ibeling, Thomas Icard

Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction

Ronny Hug, Wolfgang Hübner, Michael Arens

Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets

Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour

A MaxSAT-Based Framework for Group Testing

Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S Meel

Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution

Artyom Gadetsky, Kirill Struminsky, Christopher Robinson, Novi Quadrianto, Dmitry Vetrov

Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift

Jalal Etesami, Philipp Geiger

Deception through Half-Truths

Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik

Reliable and Efficient Anytime Skeleton Learning

Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han

A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments

Juan Correa, Elias Bareinboim

Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory

Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan

Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns

YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck

Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes

Pablo Samuel Castro

Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes

Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer

Exchangeable Generative Models with Flow Scans

Christopher Bender, Kevin O'Connor, Yang Li, Juan Garcia, Junier Oliva

Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization

Syrine Belakaria, Aryan Deshwal, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa

Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach

Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa

Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior

Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian-Ioan Vasile, Mark Donahue

Computing Superior Counter-Examples for Conformant Planning

Xiaodi Zhang, Alban Grastien, Enrico Scala

Refining HTN Methods via Task Insertion with Preferences

Zhanhao Xiao, Hai Wan, Hankui Hankz Zhuo, Andreas Herzig, Laurent Perrussel

NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations

Qiaoyun Wu, Dinesh Manocha, Jun Wang, Kai Xu

Planning with Abstract Learned Models While Learning Transferable Subtasks

John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr

Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search

Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca

Temporal Planning with Intermediate Conditions and Effects

Alessandro Valentini, Andrea Micheli, Alessandro Cimatti

Symbolic Top-k Planning

David Speck, Robert Mattmüller, Bernhard Nebel

Active Goal Recognition

Maayan Shvo, Sheila A. McIlraith

Generalized Planning with Positive and Negative Examples

Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

Automated Synthesis of Social Laws in STRIPS

Ronen Nir, Alexander Shleyfman, Erez Karpas

Semantic Attachments for HTN Planning

Maurício Cecílio Magnaguagno, Felipe Meneguzzi

Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers

Ngai Meng Kou, Cheng Peng, Hang Ma, T. K. Satish Kumar, Sven Koenig

Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds

Beomjoon Kim, Kyungjae Lee, Sungbin Lim, Leslie Kaelbling, Tomás Lozano-Pérez

Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents

Sarah Keren, Haifeng Xu, Kofi Kwapong, David Parkes, Barbara Grosz

Top-Quality Planning: Finding Practically Useful Sets of Best Plans

Michael Katz, Shirin Sohrabi, Octavian Udrea

Reshaping Diverse Planning

Michael Katz, Shirin Sohrabi

HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems

Daniel Höller, Gregor Behnke, Pascal Bercher, Susanne Biundo, Humbert Fiorino

Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning

Joschka Gross, Álvaro Torralba, Maximilian Fickert

Solving Sum-of-Costs Multi-Agent Pathfinding with Answer-Set Programming

Rodrigo N. Gómez, Carlos Hernández, Jorge A. Baier

Decidability and Complexity of Action-Based Temporal Planning over Dense Time

Nicola Gigante, Andrea Micheli, Angelo Montanari, Enrico Scala

Dynamic Control of Probabilistic Simple Temporal Networks

Michael Gao, Lindsay Popowski, Jim Boerkoel

Time-Inconsistent Planning: Simple Motivation Is Hard to Find

Fedor V. Fomin, Torstein J. F. Strømme

Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems

Daniel Fišer

Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search

Maximilian Fickert, Tianyi Gu, Leonhard Staut, Wheeler Ruml, Joerg Hoffmann

A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning

Rebecca Eifler, Michael Cashmore, Jorg Hoffmann, Daniele Magazzeni, Marcel Steinmetz

Optimizing Reachability Sets in Temporal Graphs by Delaying

Argyrios Deligkas, Igor Potapov

Planning and Acting with Non-Deterministic Events: Navigating between Safe States

Lukáš Chrpa, Jakub Gemrot, Martin Pilát

Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes

Tomáš Brázdil, Krishnendu Chatterjee, Petr Novotný, Jiří Vahala

POP ≡ POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization

Pascal Bercher, Conny Olz

On Succinct Groundings of HTN Planning Problems

Gregor Behnke, Daniel Höller, Alexander Schmid, Pascal Bercher, Susanne Biundo

Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications

Suguman Bansal, Yong Li, Lucas Tabajara, Moshe Vardi

LATTE: Latent Type Modeling for Biomedical Entity Linking

Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy

Multimodal Summarization with Guidance of Multimodal Reference

Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer

Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang