AAAI 2023

2,023 papers

Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams

Yongrui Chen, Xinnan Guo, Tongtong Wu, Guilin Qi, Yang Li

Learning towards Selective Data Augmentation for Dialogue Generation

Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, CHEN WEI

Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation

Wenqing Chen, Jidong Tian, Caoyun Fan, Yitian Li, Hao He

Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues

Ruijun Chen, Jin Wang, Liang-Chih Yu, Xuejie Zhang

A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech

Li-Wei Chen, Shinji Watanabe, Alexander Rudnicky

CP-Rec: Contextual Prompting for Conversational Recommender Systems

Keyu Chen, Shiliang Sun

Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime

Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao

Converge to the Truth: Factual Error Correction via Iterative Constrained Editing

Jiangjie Chen, Rui Xu, Wenxuan Zeng, Changzhi Sun, Lei Li

Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning

Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu

RPA: Reasoning Path Augmentation in Iterative Retrieving for Multi-Hop QA

Ziyi Cao, Bingquan Liu, Shaobo Li

Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning

Pengfei Cao, Zhuoran jin, Yubo Chen, Kang Liu, Jun Zhao

Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning

Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu

End-to-End Deep Reinforcement Learning for Conversation Disentanglement

Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta

Avocodo: Generative Adversarial Network for Artifact-Free Vocoder

Taejun Bak, Junmo Lee, Hanbin Bae, Jinhyeok Yang, Jae-Sung Bae

Rich Event Modeling for Script Event Prediction

Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin

SegFormer: A Topic Segmentation Model with Controllable Range of Attention

Haitao Bai, Pinghui Wang, Ruofei Zhang, Zhou Su

Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers

Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi

Generalized Category Discovery with Decoupled Prototypical Network

Wenbin An, Feng Tian, Qinghua Zheng, Wei Ding, Qianying Wang

A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization

Ruihao Zheng, Zhenkun Wang

Efficient Gradient Approximation Method for Constrained Bilevel Optimization

Siyuan Xu, Minghui Zhu

Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization

Yanhao Wang, Jiping Zheng, Fanxu Meng

Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality

Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer

Fully Computer-Assisted Proofs in Extremal Combinatorics

Olaf Parczyk, Sebastian Pokutta, Christoph Spiegel, Tibor Szabó

Analyzing and Improving the Use of the FastMap Embedding in Pathfinding Tasks

Reza Mashayekhi, Dor Atzmon, Nathan R. Sturtevant

OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution

Minfang Lu, Shuai Ning, Shuangrong Liu, Fengyang Sun, Bo Zhang

Human Assisted Learning by Evolutionary Multi-Objective Optimization

Dan-Xuan Liu, Xin Mu, Chao Qian

Large-State Reinforcement Learning for Hyper-Heuristics

Lucas Kletzander, Nysret Musliu

TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers

Daniil Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin Yakovlev

A Formal Metareasoning Model of Concurrent Planning and Execution

Amihay Elboher, Ava Bensoussan, Erez Karpas, Wheeler Ruml, Shahaf S. Shperberg

Ultrafast Euclidean Shortest Path Computation Using Hub Labeling

Jinchun Du, Bojie Shen, Muhammad Aamir Cheema

From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds

Benjamin Doerr, Zhongdi Qu

Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover

Benjamin Doerr, Zhongdi Qu

A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation

Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt

Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping

Chen Dang, Cristina Bazgan, Tristan Cazenave, Morgan Chopin, Pierre-Henri Wuillemin

Optimal Pathfinding on Weighted Grid Maps

Mark Carlson, Sajjad K. Moghadam, Daniel D. Harabor, Peter J. Stuckey, Morteza Ebrahimi

GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks

Angelina Brilliantova, Hannah Miller, Ivona Bezáková

AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration

Jasmin Brandt, Elias Schede, Björn Haddenhorst, Viktor Bengs, Eyke Hüllermeier

Fair Short Paths in Vertex-Colored Graphs

Matthias Bentert, Leon Kellerhals, Rolf Niedermeier

Diversity Maximization in the Presence of Outliers

Daichi Amagata

Safe Interval Path Planning with Kinodynamic Constraints

Zain Alabedeen Ali, Konstantin Yakovlev

Differentially Private Nonlinear Causal Discovery from Numerical Data

Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou

Efficient Enumeration of Markov Equivalent DAGs

Marcel Wienöbst, Malte Luttermann, Max Bannach, Maciej Liśkiewicz

Vector Causal Inference between Two Groups of Variables

Jonas Wahl, Urmi Ninad, Jakob Runge

Lifted Inference with Linear Order Axiom

Jan Tóth, Ondrej Kuzelka

Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information

Ryusei Shingaki, manabu kuroki

Certifying Fairness of Probabilistic Circuits

Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi

Maximizing the Probability of Fixation in the Positional Voter Model

Petros Petsinis, Andreas Pavlogiannis, Panagiotis Karras

Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables

Ehsan Mokhtarian, Mohmmadsadegh Khorasani, Jalal Etesami, Negar Kiyavash

Out-of-Distribution Generalization by Neural-Symbolic Joint Training

Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang

Computing Divergences between Discrete Decomposable Models

Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb

Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance

Yuta Kawakami, Ryusei Shingaki, manabu kuroki

Neural Diffeomorphic Non-uniform B-spline Flows

Seongmin Hong, Se Young Chun

A Faster Practical Approximation Scheme for the Permanent

Juha Harviainen, Mikko Koivisto

Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models

Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura

Entropy Regularization for Population Estimation

Ben Chugg, Peter Henderson, Jacob Goldin, Daniel E. Ho

Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation

Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou

A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data

Ankur Ankan, Johannes Textor

Causal Effect Identification in Cluster DAGs

Tara V. Anand, Adele H. Ribeiro, Jin Tian, Elias Bareinboim

Learning Relational Causal Models with Cycles through Relational Acyclification

Ragib Ahsan, David Arbour, Elena Zheleva

The Linear Distance Traveling Tournament Problem Allows an EPTAS

Jingyang Zhao, Mingyu Xiao

Neural TSP Solver with Progressive Distillation

Dongxiang Zhang, Ziyang Xiao, Yuan Wang, Mingli Song, Gang Chen

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health

Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja

Smoothed Online Combinatorial Optimization Using Imperfect Predictions

Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan

Predicate Invention for Bilevel Planning

Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez

Structurally Restricted Fragments of Numeric Planning – a Complexity Analysis

Alexander Shleyfman, Daniel Gnad, Peter Jonsson

Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation

Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja

Expressive Optimal Temporal Planning via Optimization Modulo Theory

Stefan Panjkovic, Andrea Micheli

Automated Verification of Social Laws in Numeric Settings

Ronen Nir, Alexander Shleyfman, Erez Karpas

Learning Safe Numeric Action Models

Argaman Mordoch, Brendan Juba, Roni Stern

Learning Rational Subgoals from Demonstrations and Instructions

Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum

AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search

Guiyang Luo, Yantao Wang, Hui Zhang, Quan Yuan, Jinglin Li

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept

Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem

On Total-Order HTN Plan Verification with Method Preconditions – An Extension of the CYK Parsing Algorithm

Songtuan Lin, Gregor Behnke, Simona Ondrčková, Roman Barták, Pascal Bercher

Was Fixing This Really That Hard? On the Complexity of Correcting HTN Domains

Songtuan Lin, Pascal Bercher

Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains

Songtuan Lin, Alban Grastien, Pascal Bercher

Fully Online Matching with Stochastic Arrivals and Departures

Zihao Li, Hao Wang, Zhenzhen Yan

Planning for Learning Object Properties

Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti

Networked Restless Bandits with Positive Externalities

Christine Herlihy, John P. Dickerson

Learning-Augmented Algorithms for Online TSP on the Line

Themistoklis Gouleakis, Konstantinos Lakis, Golnoosh Shahkarami

Markov Decision Processes with Time-Varying Geometric Discounting

Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic

Privacy Attacks on Schedule-Driven Data

Stephan A. Fahrenkrog-Petersen, Arik Senderovich, Alexandra Tichauer, Ali Kaan Tutak, J. Christopher Beck

Planning with Hidden Parameter Polynomial MDPs

Clarissa Costen, Marc Rigter, Bruno Lacerda, Nick Hawes

Zero-Knowledge Proofs for Classical Planning Problems

Augusto B. Corrêa, Clemens Büchner, Remo Christen

Heuristic Search for Multi-Objective Probabilistic Planning

Dillon Z. Chen, Felipe Trevizan, Sylvie Thiébaux

Robust Neuro-Symbolic Goal and Plan Recognition

Leonardo Amado, Ramon Fraga Pereira, Felipe Meneguzzi

Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees

Đorđe Žikelić, Mathias Lechner, Thomas A. Henzinger, Krishnendu Chatterjee

Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples

Zhou Zhai, Lei Luo, Heng Huang, Bin Gu

Minimax AUC Fairness: Efficient Algorithm with Provable Convergence

ZHENHUAN YANG, Yan Lok Ko, Kush R. Varshney, Yiming Ying

Online Platforms and the Fair Exposure Problem under Homophily

Jakob Schoeffer, Alexander Ritchie, Keziah Naggita, Faidra Monachou, Jessica Finocchiaro

Equity Promotion in Public Transportation

Anik Pramanik, Pan Xu, Yifan Xu

Mitigating Adversarial Norm Training with Moral Axioms

Taylor Olson, Kenneth D. Forbus

XRand: Differentially Private Defense against Explanation-Guided Attacks

Truc Nguyen, Phung Lai, Hai Phan, My T. Thai

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model

Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen

Explaining Model Confidence Using Counterfactuals

Thao Le, Tim Miller, Ronal Singh, Liz Sonenberg

Improvement-Focused Causal Recourse (ICR)

Gunnar König, Timo Freiesleben, Moritz Grosse-wentrup

Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results

Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice

Covariate-Shift Generalization via Random Sample Weighting

Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang

Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models

Samuel Goree, Weslie Khoo, David J. Crandall

Distributionally Robust Optimization with Probabilistic Group

Soumya Suvra Ghosal, Yixuan Li

On the Vulnerability of Backdoor Defenses for Federated Learning

Pei Fang, Jinghui Chen