Proceedings of the AAAI Conference on Artificial Intelligence 2023: all accepted papers
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- Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract) ↗Bo Wu, Xun Liang, Xiangping Zheng et al.
- Entropy Regularization for Population Estimation ↗Ben Chugg, Peter B. Henderson, Jacob S. Goldin et al.
- Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract) ↗Hoa Ta, Shi Wen Wong, Nathan McClanahan et al.
- Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images (Student Abstract) ↗Snehal Singh Tomar, Maitreya Suin, Ambasamudram Narayanan Rajagopalan
- Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples ↗Zhou Zhai, Lei Luo, Heng Huang et al.
- Finite Based Contraction and Expansion via Models ↗Ricardo Guimarães, Ana Ozaki, Jandson S. Ribeiro
- Fisher Markets with Social Influence ↗Jiayi Zhao, Denizalp Goktas, Amy Greenwald
- Flaky Performances When Pretraining on Relational Databases (Student Abstract) ↗Shengchao Liu, David Vázquez, Jian Guo Tang et al.
- Fully Computer-Assisted Proofs in Extremal Combinatorics ↗Olaf Parczyk, Sebastian Pokutta, Christoph Spiegel et al.
- Fully Dynamic Online Selection through Online Contention Resolution Schemes ↗Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi et al.
- GAAMA 2.0: An Integrated System That Answers Boolean and Extractive Questions ↗Scott McCarley, Mihaela A. Bornea, Sara Rosenthal et al.
- GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation ↗Zhouhong Gu, Sihang Jiang, Jingping Liu et al.
- Generalized Confidence Constraints ↗Guillaume Perez, Steve Malalel, Gaël Glorian et al.
- Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract) ↗Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey et al.
- Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations ↗Ziqi Pan, Li Niu, Liqing Zhang
- Global Explanations for Image Classifiers (Student Abstract) ↗Bhavan Vasu, Prasad V. Tadepalli
- Graph of Graphs: A New Knowledge Representation Mechanism for Graph Learning (Student Abstract) ↗Zhwiei Zhen, Yuzhou Chen, Murat Kantarcıoğlu et al.
- Hardness of Learning AES Key (Student Abstract) ↗Artur Pak, Sultan Nurmukhamedov, Rustem Takhanov et al.
- Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution ↗Bin Sun, Yulun Zhang, Songyao Jiang et al.
- Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract) ↗Anaelia Ovalle, Evan Czyzycki, Cho‐Jui Hsieh
- Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning ↗Joon-Young Kim, Kangwook Lee, Haebin Shin et al.
- Invariant Representations with Stochastically Quantized Neural Networks ↗Mattia Cerrato, Marius Köppel, Roberto Esposito et al.
- Invertible Conditional GAN Revisited: Photo-to-Manga Face Translation with Modern Architectures (Student Abstract) ↗Taro Hatakeyama, Ryusuke Saito, Komei Hiruta et al.
- Isometric Manifold Learning Using Hierarchical Flow ↗Ziqi Pan, Jianfu Zhang, Li Niu et al.
- Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract) ↗Seán Caulfield Curley, Karl Mason, Patrick Mannion
- Label Smoothing for Emotion Detection (Student Abstract) ↗George Maratos, Tiberiu Sosea, Cornelia Caragea
- Language Model Pre-training on True Negatives ↗Zhuosheng Zhang, Hai Yan Zhao, Masao Utiyama et al.
- Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry ↗Jidong Tian, Wenqing Chen, Yitian Li et al.
- Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract) ↗Charles Bourbeau, Audrey Durand
- Layout Generation as Intermediate Action Sequence Prediction ↗Huiting Yang, Danqing Huang, Chin-Yew Lin et al.
- Learning Adaptive Game Soundtrack Control ↗Aaron Dorsey, Todd William Neller, Hien G. Tran et al.
- Learning Compositional Tasks from Language Instructions ↗Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee
- Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract) ↗Yi-Chen Li, Wen-Jie Shen, Boyu Zhang et al.
- Learning Noise-Induced Reward Functions for Surpassing Demonstrations in Imitation Learning ↗Liangyu Huo, Zulin Wang, Mai Xu
- Learning Optimal Features via Partial Invariance ↗Moulik Choraria, Ibtihal Ferwana, Ankur Mani et al.
- Learning Rational Subgoals from Demonstrations and Instructions ↗Zhezheng Luo, Jiayuan Mao, Jiajun Wu et al.
- Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers ↗Eitan-Hai Mashiah, Idan Attias, Yishay Mansour
- Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs ↗Georg Kohl, Liwei Chen, Nils Thuerey
- Learning to Play General-Sum Games against Multiple Boundedly Rational Agents ↗Eric Zhao, Alexander Trott, Caiming Xiong et al.
- Learning to See the Physical World ↗Jiajun Wu
- Learning to Select Pivotal Samples for Meta Re-weighting ↗Yinjun Wu, Adam Stein, Jacob R. Gardner et al.
- Linking People across Text and Images Based on Social Relation Reasoning ↗Lei Yang, Peizhi Zhao, Pijian Li et al.
- Logic Error Localization and Correction with Machine Learning (Student Abstract) ↗Zhenyu Xu, Victor S. Sheng, Keyi Lu
- Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation ↗Tongliang Li, Zixiang Wang, Zhoujun Li
- Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach ↗Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas et al.
- Min-Max Submodular Ranking for Multiple Agents ↗Qingyun Chen, Sungjin Im, Benjamin Moseley et al.
- Mixed-Variable Black-Box Optimisation Using Value Proposal Trees ↗Yan Zuo, Vu Nguyen, Amir Dezfouli et al.
- Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract) ↗Jinyu Hong, Fan Zhou, Qiang Gao et al.
- Model Selection of Graph Signage Models Using Maximum Likelihood (Student Abstract) ↗Angelina Brilliantova, Ivona Bezáková
- Model-Based Offline Reinforcement Learning with Local Misspecification ↗Kefan Dong, Yannis Flet-Berliac, Allen Nie et al.
- Model-Based Offline Weighted Policy Optimization (Student Abstract) ↗Renzhe Zhou, Zongzhang Zhang, Yang Yu
- Neural Implicit Surface Reconstruction from Noisy Camera Observations (Student Abstract) ↗Sarthak Gupta, Patrik Huber
- Non-reversible Parallel Tempering for Deep Posterior Approximation ↗Wei Deng, Qian Zhang, Qi Feng et al.
- OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World ↗Luzhan Yuan, Wei Min Wang, Gaowei Zhang et al.
- On Error and Compression Rates for Prototype Rules ↗Omer Kerem, Roi Weiss
- On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure ↗Alessio Russo, Alexandre Proutière
- Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract) ↗Francois Buet-Golfouse, Peter W. Hill
- Optimal Pricing Schemes for Identical Items with Time-Sensitive Buyers ↗Zhengyang Liu, Liang Shan, Zihe Wang
- Optimal Sparse Recovery with Decision Stumps ↗Kiarash Banihashem, MohammadTaghi Hajiaghayi, Max Springer
- Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract) ↗Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi et al.
- PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract) ↗Yangxiao Bai, Kaiqun Fu
- PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers ↗Xiaoyi Dong, Jianmin Bao, Ting Zhang et al.
- Periodic Multi-Agent Path Planning ↗Kazumi Kasaura, Ryo Yonetani, Mai Nishimura
- Persistent Homology through Image Segmentation (Student Abstract) ↗Joshua Slater, Thomas Weighill
- Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract) ↗Jacob Rubinstein, Cynthia Matuszek, Don Engel
- Planning and Learning for Reliable Autonomy in the Open World ↗Sandhya Saisubramanian
- Popularizing Fairness: Group Fairness and Individual Welfare ↗Andrew Estornell, Sanmay Das, Brendan Juba et al.
- Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models ↗Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura
- Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes ↗Huixin Zhan, Victor S. Sheng
- Prototyping Logic-Based AI Services with LogicUS ↗Víctor Ramos-González, Joaquín Borrego‐Díaz, Fernando Sancho Caparrini
- ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies ↗Yu Shen, Yang Li, Jian Zheng et al.
- RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract) ↗Sourajit Saha, Shaswati Saha, Md Osman Gani et al.
- Rehabilitating Homeless: Dataset and Key Insights ↗Anna Bykova, Nikolay Filippov, Ivan P. Yamshchikov
- Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective ↗Yu-Heng Hung, Ping-Chun Hsieh
- Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract) ↗Yiwei Lyu, Wenhao Luo, John M. Dolan
- Robust and Fast Measure of Information via Low-Rank Representation ↗Yuxin Dong, Tieliang Gong, Shujian Yu et al.
- STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations ↗Dayou Yu, Weishi Shi, Qi Yu
- Scalable Spatial Memory for Scene Rendering and Navigation ↗Wencheng Chen, Chu‐Song Chen, Wei-Chen Chiu et al.
- Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization ↗Jaeseong Lee, Dohyeon Lee, Seung-won Hwang
- Second-Order Quantified Boolean Logic ↗Jie-Hong Roland Jiang
- SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation ↗Shiqi Lin, Zhizheng Zhang, Xin Shane Li et al.
- Semi-supervised Review-Aware Rating Regression (Student Abstract) ↗Xiangkui Lu, Jun Wu
- Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games ↗Michael Oesterle, Guni Sharon
- Soft Action Priors: Towards Robust Policy Transfer ↗Matheus Centa, Philippe Preux
- Spatiotemporal Deformation Perception for Fisheye Video Rectification ↗Shangrong Yang, Chun-Yu Lin, Kang Liao et al.
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