AAAI 2021

1,961 papers

Deterministic Mini-batch Sequencing for Training Deep Neural Networks

Subhankar Banerjee, Shayok Chakraborty

Correlative Channel-Aware Fusion for Multi-View Time Series Classification

Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation

Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye

Deep Radial-Basis Value Functions for Continuous Control

Kavosh Asadi, Neev Parikh, Ronald E. Parr, George D. Konidaris, Michael L. Littman

Robust Model Compression Using Deep Hypotheses

Omri Armstrong, Ran Gilad-Bachrach

TabNet: Attentive Interpretable Tabular Learning

Sercan Ö. Arik, Tomas Pfister

The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits

Marcelo Arenas, Pablo Barceló, Leopoldo Bertossi, Mikaël Monet

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory

Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, Jamal Atif

An Enhanced Advising Model in Teacher-Student Framework using State Categorization

Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran

Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning

Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex Bronstein

Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features

Chaitanya Amballa, Manu K. Gupta, Sanjay P. Bhat

Decentralized Multi-Agent Linear Bandits with Safety Constraints

Sanae Amani, CHRISTOS THRAMPOULIDIS

Does Explainable Artificial Intelligence Improve Human Decision-Making?

Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu

eTREE: Learning Tree-structured Embeddings

Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos

Deep Bayesian Quadrature Policy Optimization

Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue

Learned Bi-Resolution Image Coding using Generalized Octave Convolutions

Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu

Learning Invariant Representations using Inverse Contrastive Loss

Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh

Semi-supervised Sequence Classification through Change Point Detection

Nauman Ahad, Mark A. Davenport

Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration

Priyank Agrawal, Jinglin Chen, Nan Jiang

DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits

Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Chris Quinn

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors

Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce Ho

Testing Independence Between Linear Combinations for Causal Discovery

Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang

On-the-fly Synthesis for LTL over Finite Traces

Shengping Xiao, Jianwen Li, Shufang Zhu, Yingying Shi, Geguang Pu

Focused Inference and System P

Marco Wilhelm, Gabriele Kern-Isberner

On Exploiting Hitting Sets for Model Reconciliation

Stylianos Loukas Vasileiou, Alessandro Previti, William Yeoh

On the Tractability of SHAP Explanations

Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu

Strong Explanations in Abstract Argumentation

Markus Ulbricht, Johannes P. Wallner

Stratified Negation in Datalog with Metric Temporal Operators

David J Tena Cucala, Przemysław A Wałęga, Bernardo Cuenca Grau, Egor Kostylev

Quantification of Resource Production Incompleteness

Yakoub Salhi

ChronoR: Rotation Based Temporal Knowledge Graph Embedding

Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang

Interpreting Neural Networks as Quantitative Argumentation Frameworks

Nico Potyka

Parameterized Complexity of Small Decision Tree Learning

Sebastian Ordyniak, Stefan Szeider

GENSYNTH: Synthesizing Datalog Programs without Language Bias

Jonathan Mendelson, Aaditya Naik, Mukund Raghothaman, Mayur Naik

Ranking Sets of Defeasible Elements in Preferential Approaches to Structured Argumentation: Postulates, Relations, and Characterizations

Jan Maly, Johannes P. Wallner

Parameterized Complexity of Logic-Based Argumentation in Schaefer's Framework

Yasir Mahmood, Arne Meier, Johannes Schmidt

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

Learning Term Embeddings for Lexical Taxonomies

Jingping Liu, Menghui Wang, Chao Wang, Jiaqing Liang, Lihan Chen

Parameterized Logical Theories

Fangzhen Lin

Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning

Bosung Kim, Juae Kim, Youngjoong Ko, Jungyun Seo

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs

Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement

Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang

Mining EL Bases with Adaptable Role Depth

Ricardo Guimarães, Ana Ozaki, Cosimo Persia, Baris Sertkaya

Constraint Logic Programming for Real-World Test Laboratory Scheduling

Tobias Geibinger, Florian Mischek, Nysret Musliu

Knowledge-Base Degrees of Inconsistency: Complexity and Counting

Johannes K. Fichte, Markus Hecher, Arne Meier

Answering Regular Path Queries Under Approximate Semantics in Lightweight Description Logics

Oliver Fernández Gil, Anni-Yasmin Turhan

A Simple Framework for Cognitive Planning

Jorge Luis Fernandez Davila, Dominique Longin, Emiliano Lorini, Frédéric Maris

SMT-based Safety Checking of Parameterized Multi-Agent Systems

Paolo Felli, Alessandro Gianola, Marco Montali

Treewidth-Aware Complexity in ASP: Not all Positive Cycles are Equally Hard

Jorge Fandinno, Markus Hecher

On the Complexity of Sum-of-Products Problems over Semirings

Thomas Eiter, Rafael Kiesel

The Complexity Landscape of Claim-Augmented Argumentation Frameworks

Wolfgang Dvořák, Alexander Greßler, Anna Rapberger, Stefan Woltran

Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility

Wolfgang Dvořák, Markus Ulbricht, Stefan Woltran

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving

Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio

Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs

Jiajun Chen, Huarui He, Feng Wu, Jie Wang

Preferred Explanations for Ontology-Mediated Queries under Existential Rules

İsmail İlkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavičius

Contextual Conditional Reasoning

Giovanni Casini, Thomas Meyer, Ivan Varzinczak

Certifying Top-Down Decision-DNNF Compilers

Florent Capelli, Jean-Marie Lagniez, Pierre Marquis

Algebra of Modular Systems: Containment and Equivalence

Andrei Bulatov, Eugenia Ternovska

Conditional Inference under Disjunctive Rationality

Richard Booth, Ivan Varzinczak

Network Satisfaction for Symmetric Relation Algebras with a Flexible Atom

Manuel Bodirsky, Simon Knäuer

The Counterfactual NESS Definition of Causation

Sander Beckers

Equivalent Causal Models

Sander Beckers

Living Without Beth and Craig: Definitions and Interpolants in Description Logics with Nominals and Role Inclusions

Alessandro Artale, Jean Christoph Jung, Andrea Mazzullo, Ana Ozaki, Frank Wolter

A General Setting for Gradual Semantics Dealing with Similarity

Leila Amgoud, Victor David

Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna

VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization

Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi U. Saputra, Niki Trigoni

Generative Partial Visual-Tactile Fused Object Clustering

Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu

CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models

Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev

Differentiable Fluids with Solid Coupling for Learning and Control

Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin

IDOL: Inertial Deep Orientation-Estimation and Localization

Scott Sun, Dennis Melamed, Kris Kitani

SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction

Jasmine Sekhon, Cody Fleming

Learning Intuitive Physics with Multimodal Generative Models

Sahand Rezaei-Shoshtari, Francois R. Hogan, Michael Jenkin, David Meger, Gregory Dudek

DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation

Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang

Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications

Andras Gabor Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek

Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM

Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi

Enabling Fast Instruction-Based Modification of Learned Robot Skills

Tyler Frasca, Bradley Oosterveld, Meia Chita-Tegmark, Matthias Scheutz

I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting

Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang

BT Expansion: a Sound and Complete Algorithm for Behavior Planning of Intelligent Robots with Behavior Trees

Zhongxuan Cai, Minglong Li, Wanrong Huang, Wenjing Yang

Automatic Generation of Flexible Plans via Diverse Temporal Planning

Yotam Amitai, Ayal Taitler, Erez Karpas

Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach

Suping Zhou, Jia Jia, Zhiyong Wu, Zhihan Yang, Yanfeng Wang

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation

Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling

Meng-Hsuan Yu, Juntao Li, Zhangming Chan, Rui Yan, Dongyan Zhao

Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory

Ran Tian, Liting Sun, Masayoshi Tomizuka

Learning Rewards From Linguistic Feedback

Theodore R. Sumers, Mark K. Ho, Robert D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths

Uncertain Graph Neural Networks for Facial Action Unit Detection

Tengfei Song, Lisha Chen, Wenming Zheng, Qiang Ji

Narrative Plan Generation with Self-Supervised Learning

Mihai Polceanu, Julie Porteous, Alan Lindsay, Marc Cavazza

Indecision Modeling

Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer

Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions

Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis

AI-Assisted Scientific Data Collection with Iterative Human Feedback

Travis Mandel, James Boyd, Sebastian J. Carter, Randall H. Tanaka, Taishi Nammoto

Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition

Daeha Kim, Byung Cheol Song

Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle

Yu-Sian Jiang, Garrett Warnell, Peter Stone

ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces

Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius

Wasserstein Distributionally Robust Inverse Multiobjective Optimization

Chaosheng Dong, Bo Zeng

Classification Under Human Assistance

Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez

User Driven Model Adjustment via Boolean Rule Explanations

Elizabeth M. Daly, Massimiliano Mattetti, Öznur Alkan, Rahul Nair

Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control

Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng

Human Uncertainty Inference via Deterministic Ensemble Neural Networks

Yujin Cha, Sang Wan Lee

MARTA: Leveraging Human Rationales for Explainable Text Classification

Ines Arous, Ljiljana Dolamic, jie Yang, Akansha Bhardwaj, Giuseppe Cuccu

Automated Storytelling via Causal, Commonsense Plot Ordering

Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl

Teaching Active Human Learners

Zizhe Wang, Hailong Sun