AAAI 2024

2,864 papers

What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases

Luca Andolfi, Gianluca Cima, Marco Console, Maurizio Lenzerini

Approximation Algorithms for Preference Aggregation Using CP-Nets

Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles

Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna

DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting

Yun Zhong, Yiannis Demiris

MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity

Zuozhen Zhang, Junzhong Ji, Jinduo Liu

Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition

Zhi Zhang, Shenghua Zhong, Yan Liu

‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation

Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati

Scalable Motion Style Transfer with Constrained Diffusion Generation

Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman

Xueyuan Yang, Chao Yao, Xiaojuan Ban

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction

Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo

Rating-Based Reinforcement Learning

Devin White, Mingkang Wu, Ellen Novoseller, Vernon J. Lawhern, Nicholas Waytowich

TexFit: Text-Driven Fashion Image Editing with Diffusion Models

Tongxin Wang, Mang Ye

Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method

Miaohui Wang, Rong Zhang, Lirong Huang, Yanshan Li

TransGOP: Transformer-Based Gaze Object Prediction

Binglu Wang, Chenxi Guo, Yang Jin, Haisheng Xia, Nian Liu

Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process

Idan Toker, David Sarne, Jonathan Schler

Sample-Constrained Black Box Optimization for Audio Personalization

Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark

Sen Pei, Shixiong Xu, Xiaojie Jin

Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation

Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated

Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina, Barry-John Theobald

Efficient Online Crowdsourcing with Complex Annotations

Reshef Meir, Viet-An Nguyen, Xu Chen, Jagdish Ramakrishnan, Udi Weinsberg

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI

Malek Mechergui, Sarath Sreedharan

Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition

Bingjun Luo, Haowen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao

GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images

Chenglong Liu, Haoran Wei, Jinze Yang, Jintao Liu, Wenxi Li

Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making

Zhuoyan Li, Zhuoran Lu, Ming Yin

A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities

Mingcheng Li, Dingkang Yang, Yuxuan Lei, Shunli Wang, Shuaibing Wang

Learning Optimal Advantage from Preferences and Mistaking It for Reward

W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur Orn Adalgeirsson, Serena Booth, Anca Dragan

Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild

Yifeng Huang, Duc Duy Nguyen, Lam Nguyen, Cuong Pham, Minh Hoai

Working Memory Capacity of ChatGPT: An Empirical Study

Dongyu Gong, Xingchen Wan, Dingmin Wang

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface

Dongrui Gao, Haokai Zhang, Pengrui Li, Tian Tang, Shihong Liu

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making

Kate Donahue, Sreenivas Gollapudi, Kostas Kollias

Procedural Level Generation with Diffusion Models from a Single Example

Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang

Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions

Lvye Cui, Haoran Yu

Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes

Yotam Amitai, Yael Septon, Ofra Amir

Altruism in Facility Location Problems

Houyu Zhou, Hau Chan, Minming Li

Fair Allocation of Items in Multiple Regions

Houyu Zhou, Tianze Wei, Biaoshuai Tao, Minming Li

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria

Brian Hu Zhang, Tuomas Sandholm

Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees

Zongjun Yang, Luofeng Liao, Christian Kroer

Non-excludable Bilateral Trade between Groups

Yixuan Even Xu, Hanrui Zhang, Vincent Conitzer

Learning Coalition Structures with Games

Yixuan Even Xu, Chun Kai Ling, Fei Fang

Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms

Yadong Xu, Bonan Ni, Weiran Shen, Xun Wang, Zichen Wang

Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning

Yujia Wang, Haoran Yu

Unravelling Expressive Delegations: Complexity and Normative Analysis

Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind

The Moderating Effect of Instant Runoff Voting

Kiran Tomlinson, Johan Ugander, Jon Kleinberg

Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements

Max Springer, MohammadTaghi Hajiaghayi, Hadi Yami

Machine Learning-Powered Combinatorial Clock Auction

Ermis Nikiforos Soumalias, Jakob Weissteiner, Jakob Heiss, Sven Seuken

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints

Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas

Weighted Envy-Freeness for Submodular Valuations

Luisa Montanari, Ulrike Schmidt-Kraepelin, Warut Suksompong, Nicholas Teh

Pay to (Not) Play: Monetizing Impatience in Mobile Games

Taylor Lundy, Narun Raman, Hu Fu, Kevin Leyton-brown

Double Auction on Diffusion Network

Miao Li, Yuhan Cao, Dengji Zhao

Opponent-Model Search in Games with Incomplete Information

Junkang Li, Bruno Zanuttini, Véronique Ventos

Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems

Jiaqian Li, Minming Li, Hau Chan

Towards Optimal Subsidy Bounds for Envy-Freeable Allocations

Yasushi Kawase, Kazuhisa Makino, Hanna Sumita, Akihisa Tamura, Makoto Yokoo

Proportional Representation in Metric Spaces and Low-Distortion Committee Selection

Yusuf Kalayci, David Kempe, Vikram Kher

Optimal Mechanism in a Dynamic Stochastic Knapsack Environment

Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee, Kiho Yoon

Maximizing Nash Social Welfare under Two-Sided Preferences

Pallavi Jain, Rohit Vaish

Spatial Voting with Incomplete Voter Information

Aviram Imber, Jonas Israel, Markus Brill, Hadas Shachnai, Benny Kimelfeld

Repeated Fair Allocation of Indivisible Items

Ayumi Igarashi, Martin Lackner, Oliviero Nardi, Arianna Novaro

Reachability of Fair Allocations via Sequential Exchanges

Ayumi Igarashi, Naoyuki Kamiyama, Warut Suksompong, Sheung Man Yuen

Cost Minimization for Equilibrium Transition

Haoqiang Huang, Zihe Wang, Zhide Wei, Jie Zhang

Regret Analysis of Repeated Delegated Choice

Mohammad Hajiaghayi, Mohammad Mahdavi, Keivan Rezaei, Suho Shin

An Exercise in Tournament Design: When Some Matches Must Be Scheduled

Sushmita Gupta, Ramanujan Sridharan, Peter Strulo

Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis

Mingyu Guo

Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing

Yue Guan, Mohammad Afshari, Panagiotis Tsiotras

Information Design for Congestion Games with Unknown Demand

Svenja M. Griesbach, Martin Hoefer, Max Klimm, Tim Koglin

Maxileximin Envy Allocations and Connected Goods

Gianluigi Greco, Francesco Scarcello

Project-Fair and Truthful Mechanisms for Budget Aggregation

Rupert Freeman, Ulrike Schmidt-Kraepelin

Manipulation-Robust Selection of Citizens’ Assemblies

Bailey Flanigan, Jennifer Liang, Ariel D. Procaccia, Sven Wang

On Optimal Tradeoffs between EFX and Nash Welfare

Michal Feldman, Simon Mauras, Tomasz Ponitka

Implications of Distance over Redistricting Maps: Central and Outlier Maps

Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape, Brian Brubach

Refined Characterizations of Approval-Based Committee Scoring Rules

Chris Dong, Patrick Lederer

Competition among Pairwise Lottery Contests

Xiaotie Deng, Hangxin Gan, Ningyuan Li, Weian Li, Qi Qi

The Complexity of Fair Division of Indivisible Items with Externalities

Argyrios Deligkas, Eduard Eiben, Viktoriia Korchemna, Šimon Schierreich

Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion

Théo Delemazure, Jérôme Lang, Grzegorz Pierczyński

How to Evaluate Behavioral Models

Greg d'Eon, Sophie Greenwood, Kevin Leyton-brown, James R. Wright

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings

Michael Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen Mcaleer, Christian Kroer

Learning Discrete-Time Major-Minor Mean Field Games

Kai Cui, Gökçe Dayanıklı, Mathieu Lauriere, Matthieu Geist, Olivier Pietquin

The Complexity of Computing Robust Mediated Equilibria in Ordinal Games

Vincent Conitzer

Dynamic Budget Throttling in Repeated Second-Price Auctions

Zhaohua Chen, Chang Wang, Qian Wang, Yuqi Pan, Zhuming Shi

1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations

Chandra Chekuri, Pooja Kulkarni, Rucha Kulkarni, Ruta Mehta

How to Make Knockout Tournaments More Popular?

Juhi Chaudhary, Hendrik Molter, Meirav Zehavi

Proportional Aggregation of Preferences for Sequential Decision Making

Nikhil Chandak, Shashwat Goel, Dominik Peters

Efficient Learning in Polyhedral Games via Best-Response Oracles

Darshan Chakrabarti, Gabriele Farina, Christian Kroer

Low-Distortion Clustering with Ordinal and Limited Cardinal Information

Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs, Matteo Russo, Chris Schwiegelshohn

Participation Incentives in Approval-Based Committee Elections

Martin Bullinger, Chris Dong, Patrick Lederer, Clara Mehler

Stability in Online Coalition Formation

Martin Bullinger, René Romen

Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting

Markus Brill, Jannik Peters

Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain

Niclas Boehmer, Markus Brill, Alfonso Cevallos, Jonas Gehrlein, Luis Sánchez-Fernández

Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling

Vittorio Bilò, Cosimo Vinci

Principal-Agent Reward Shaping in MDPs

Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler

Nearly Equitable Allocations beyond Additivity and Monotonicity

Siddharth Barman, Umang Bhaskar, Yeshwant Pandit, Soumyajit Pyne

Content Filtering with Inattentive Information Consumers

Ian Ball, James Bono, Justin Grana, Nicole Immorlica, Brendan Lucier

Envy-Free House Allocation under Uncertain Preferences

Haris Aziz, Isaiah Iliffe, Bo Li, Angus Ritossa, Ankang Sun

Fair Lotteries for Participatory Budgeting

Haris Aziz, Xinhang Lu, Mashbat Suzuki, Jeremy Vollen, Toby Walsh

Improved Metric Distortion via Threshold Approvals

Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett, Alexandros A. Voudouris

Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property

Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm

Analytically Tractable Models for Decision Making under Present Bias

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors

Xiaze Zhang, Ziheng Ding, Qi Jing, Yuejie Zhang, Wenchao Ding