| 2023 | A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam |
| 2023 | A Bilevel Formalism for the Peer-Reviewing Problem. Gennaro Auricchio, Ruixiao Zhang, Jie Zhang, Xiaohao Cai |
| 2023 | A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction. Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang |
| 2023 | A Convolutional Neural Network Approach to General Game Playing. Yu Wang, Heng Zhang, Guifei Jiang |
| 2023 | A Declarative Approach to Compact Controllers for FOND Planning via Answer Set Programming. Nitin Yadav, Sebastian Sardiña |
| 2023 | A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions. Yan Liu, Ying He, Zhong Ming, F. Richard Yu |
| 2023 | A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang |
| 2023 | A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates. Eyal Weiss, Ariel Felner, Gal A. Kaminka |
| 2023 | A Hybrid Approach to Preference Learning with Interaction Terms. Hugo Gilbert, Mohamed Ouaguenouni, Meltem Öztürk, Olivier Spanjaard |
| 2023 | A Landmark-Cut Heuristic for Lifted Optimal Planning. Julia Wichlacz, Daniel Höller, Daniel Fiser, Jörg Hoffmann |
| 2023 | A Local Non-Additive Framework for Explaining Black-Box Predictive Models. Majid Mohammadi, Ilaria Tiddi, Annette ten Teije |
| 2023 | A Logic-Based Framework for Explainable Agent Scheduling Problems. Stylianos Loukas Vasileiou, Borong Xu, William Yeoh |
| 2023 | A Model-Theoretic Approach to Belief Revision in Multi-Agent Belief Logic and Its Syntactic Characterizations. Aiting Liang, Yongmei Liu |
| 2023 | A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring. Gianluca Apriceno, Luca Erculiani, Andrea Passerini |
| 2023 | A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting. Chenyou Fan, Hengyang Lu, Aimin Huang |
| 2023 | A Paraconsistency Framework for Inconsistency Handling in Qualitative Spatial and Temporal Reasoning. Yakoub Salhi, Michael Sioutis |
| 2023 | A Semantic Approach to Decidability in Epistemic Planning. Alessandro Burigana, Paolo Felli, Marco Montali, Nicolas Troquard |
| 2023 | A Semantics-Driven Methodology for High-Quality Image Annotation. Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao |
| 2023 | A Siamese Based System for City Verification. Omran Alamayreh, Jun Wang, Giovanna Maria Dimitri, Benedetta Tondi, Mauro Barni |
| 2023 | A Simple Debiasing Framework for Out-of-Distribution Detection in Human Action Recognition. Minho Sim, Young-Jun Lee, Dongkun Lee, Jongwhoa Lee, Ho-Jin Choi |
| 2023 | Abductive Explanations of Classifiers Under Constraints: Complexity and Properties. Martin C. Cooper, Leila Amgoud |
| 2023 | Accelerating SAT-Based HTN Plan Verification by Exploiting Data Structures from HTN Planning. Songtuan Lin, Gregor Behnke, Pascal Bercher |
| 2023 | Acquisition and Formalization of Tacit Knowledge for Value Chain Generation in Local Production Networks. Matthias Kerzel, Julia Markert, Emad Aghajanzadeh, Stephanie von Riegen, Lothar Hotz, Pascal Krenz |
| 2023 | Action-Failure Resilient Planning. Diego Aineto, Alessandro Gaudenzi, Alfonso Gerevini, Alberto Rovetta, Enrico Scala, Ivan Serina |
| 2023 | Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution. Ming Qin, Keyan Ding, Bin Wu, Zhenping Li, Haihong Yang, Zeyuan Wang, Hongbin Ye, Haoran Yu, Huajun Chen, Qiang Zhang |
| 2023 | Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo |
| 2023 | Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu |
| 2023 | Adaptive Self-Supervised Continual Learning. Lilei Wu, Zhen Wang, Jie Liu |
| 2023 | Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks. Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami |
| 2023 | Adversarial Benchmark Evaluation Rectified by Controlling for Difficulty. Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo |
| 2023 | Adversarial Discriminator to Mitigate Gender Bias in Abusive Language Detection. Jaeil Park, Sung-Bae Cho |
| 2023 | Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song |
| 2023 | Aggregating Correlated Estimations with (Almost) no Training. Théo Delemazure, François Durand, Fabien Mathieu |
| 2023 | AlegAATr the Bandit. Ethan Pedersen, Jacob W. Crandall |
| 2023 | Algorithmic Recognition of 2-Euclidean Preferences. Bruno Escoffier, Olivier Spanjaard, Magdaléna Tydrichová |
| 2023 | An Easy Rejection Sampling Baseline via Gradient Refined Proposals. Edward Raff, Mark McLean, James Holt |
| 2023 | An Empirical Study of Retrieval-Enhanced Graph Neural Networks. Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu |
| 2023 | Answer Set Automata: A Learnable Pattern Specification Framework for Complex Event Recognition. Nikos Katzouris, Georgios Paliouras |
| 2023 | Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation. Yihong Dong, Ge Li, Xue Jiang, Zhi Jin |
| 2023 | Anticipating Responsibility in Multiagent Planning. Timothy Parker, Umberto Grandi, Emiliano Lorini |
| 2023 | Anytime Index-Based Search Method for Large-Scale Simultaneous Coalition Structure Generation and Assignment. Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder |
| 2023 | Approximate Data Deletion in Generative Models. Zhifeng Kong, Scott Alfeld |
| 2023 | Approximate Model-Based Shielding for Safe Reinforcement Learning. Alexander W. Goodall, Francesco Belardinelli |
| 2023 | Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks. Xiang Yin, Nico Potyka, Francesca Toni |
| 2023 | Aspect-Oriented Opinion Alignment Network for Aspect-Based Sentiment Classification. Xueyi Liu, Rui Hou, Yanglei Gan, Da Luo, Changlin Li, Xiaojun Shi, Qiao Liu |
| 2023 | Associative Memories in the Feature Space. Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz |
| 2023 | Attention Based Models for Cell Type Classification on Single-Cell RNA-Seq Data. Tianxu Wang, Yue Fan, Xiuli Ma |
| 2023 | Automatic Parallel Portfolio Selection. Haniye Kashgarani, Lars Kotthoff |
| 2023 | Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives. Bhanu Prakash Voutharoja, Lei Wang, Luping Zhou |
| 2023 | BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning. Shuxian Li, Liyan Song, Yiu-ming Cheung, Xin Yao |
| 2023 | BMIPN: A Biased Multi-Granularity Interaction Prototype Network for Few-Shot Relation Extraction. Yile Li, Yinliang Yue, Xiaoyan Gu, Peng Fu, Weiping Wang |
| 2023 | Balancing Fairness and Efficiency in 3D Repeated Matching in Ridesharing. Garima Shakya, Makoto Yokoo |
| 2023 | BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen |
| 2023 | Blame Attribution for Multi-Agent Path Finding Execution Failures. Avraham Natan, Roni Stern, Meir Kalech |
| 2023 | Boosting Visual Question Answering Through Geometric Perception and Region Features. Hong Yu, Zhiyue Wang, Yuanqiu Liu, Han Liu |
| 2023 | BridgeHand2Vec Bridge Hand Representation. Anna Sztyber-Betley, Filip Kolodziej, Piotr Duszak |
| 2023 | Bridging the Transparency Gap: What Can Explainable AI Learn from the AI Act? Balint Gyevnar, Nick Ferguson, Burkhard Schafer |
| 2023 | Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care. Neeraj Agrawal, Priyanka Bhatt |
| 2023 | CAFIN: Centrality Aware Fairness Inducing IN-Processing for Unsupervised Representation Learning on Graphs. Arvindh Arun, Aakash Aanegola, Amul Agrawal, Ramasuri Narayanam, Ponnurangam Kumaraguru |
| 2023 | CCPO: Conservatively Constrained Policy Optimization Using State Augmentation. Zepeng Wang, Xiaochuan Shi, Chao Ma, Libing Wu, Jia Wu |
| 2023 | CERM: Context-Aware Literature-Based Discovery via Sentiment Analysis. Julio Christian Young, Uchenna Akujuobi |
| 2023 | CICERO: A GPT2-Based Writing Assistant to Investigate the Effectiveness of Specialized LLMs' Applications in e-Justice. Marco Calamo, Francesca De Luzi, Mattia Macrì, Tommaso Mencattini, Massimo Mecella |
| 2023 | Cache-Efficient Dynamic Programming MDP Solver. Jaël Champagne Gareau, Guillaume Gosset, Éric Beaudry, Vladimir Makarenkov |
| 2023 | Capsule Network with Label Dependency Modeling for Multi-Label Emotion Classification. Yu-Ping Ruan, Taihao Li |
| 2023 | Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone. Wannian Xia, Yiming Yang, Jingqing Ruan, Dengpeng Xing, Bo Xu |
| 2023 | Cartesian Abstractions and Saturated Cost Partitioning in Probabilistic Planning. Thorsten Klößner, Jendrik Seipp, Marcel Steinmetz |
| 2023 | Causal Discovery and Knowledge Injection for Contestable Neural Networks. Fabrizio Russo, Francesca Toni |
| 2023 | Causally Disentangled Generative Variational AutoEncoder. Seunghwan An, Kyungwoo Song, Jong-June Jeon |
| 2023 | Characterizations of Network Auctions and Generalizations of VCG. Mingyu Xiao, Guixin Lin, Bakh Khoussainov, Yuchao Song |
| 2023 | Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework. Julian Vexler, Stefan Kramer |
| 2023 | Cognitive Effects in Large Language Models. Jonathan Shaki, Sarit Kraus, Michael J. Wooldridge |
| 2023 | Combating Short Circuit Behavior in Natural Language Reasoning: Crossover and Mutation Operations for Enhanced Robustness. Shanshan Huang, Siyu Ren, Kenny Q. Zhu |
| 2023 | Comment-Aware Multi-Modal Heterogeneous Pre-Training for Humor Detection in Short-Form Videos. Yang Liu, Huanqin Ping, Dong Zhang, Qingying Sun, Shoushan Li, Guodong Zhou |
| 2023 | CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer. Adam Pardyl, Dawid Rymarczyk, Joanna Jaworek-Korjakowska, Dariusz Kucharski, Andrzej Brodzicki, Julia Lasek, Zofia Schneider, Iwona Kucybala, Andrzej Urbanik, Rafal Obuchowicz, Zbislaw Tabor, Bartosz Zielinski |
| 2023 | Compilation of Tight ASP Programs. Carmine Dodaro, Giuseppe Mazzotta, Francesco Ricca |
| 2023 | Complexity of Control by Adding or Deleting Edges in Graph-Restricted Weighted Voting Games. Joanna Kaczmarek, Jörg Rothe, Nimrod Talmon |
| 2023 | Complexity of Verification and Existence Problems in Epistemic Argumentation Framework. Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna |
| 2023 | Conditionally Acyclic CO-Networks for Efficient Preferential Optimization. Pierre-François Gimenez, Jérôme Mengin |
| 2023 | Contrastive Learning with Diverse Samples. Lilei Wu, Jie Liu |
| 2023 | Cooperative Thresholded Lasso for Sparse Linear Bandit. Xiaotong Cheng, Setareh Maghsudi |
| 2023 | Cost-Awareness in Multi-Agent Active Search. Arundhati Banerjee, Ramina Ghods, Jeff Schneider |
| 2023 | Counterfactual Prediction Under Selective Confounding. Sohaib Kiani, Jared Barton, Jon Sushinsky, Lynda Heimbach, Bo Luo |
| 2023 | Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting. Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio |
| 2023 | Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning. Wenhang Shi, Yiren Chen, Zhe Zhao, Wei Lu, Kimmo Yan, Xiaoyong Du |
| 2023 | Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. Eirik Lund Flogard, Ole Jakob Mengshoel, Ole Magnus Theisen, Kerstin Bach |
| 2023 | Credal Learning: Weakly Supervised Learning from Credal Sets. Andrea Campagner |
| 2023 | DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition. Xinyue Zhang, Jing Xiang, Hanxiu Zhang, Chunwei Wu, Hailing Wang, Guitao Cao |
| 2023 | DPBERT: Efficient Inference for BERT Based on Dynamic Planning. Weixin Wu, Hankz Hankui Zhuo |
| 2023 | DTBS: Dual-Teacher Bi-Directional Self-Training for Domain Adaptation in Nighttime Semantic Segmentation. Fanding Huang, Zihao Yao, Wenhui Zhou |
| 2023 | Data-Driven Self-Supervised Graph Representation Learning. Ahmed E. Samy, Zekarias T. Kefato, Sarunas Girdzijauskas |
| 2023 | Data-Free Class-Incremental Learning with Implicit Representation of Prototypes. Tianwen Yang, Leixiong Huang, Ronghua Luo |
| 2023 | Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization. Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao |
| 2023 | Decidable Fragments of LTL Luca Geatti, Alessandro Gianola, Nicola Gigante, Sarah Winkler |
| 2023 | Declarative Encoding of Fairness in Logic Tensor Networks. Greta Greco, Federico Alberici, Matteo Palmonari, Andrea Cosentini |
| 2023 | Decoding Realistic Images from Brain Activity with Contrastive Self-Supervision and Latent Diffusion. Jingyuan Sun, Mingxiao Li, Marie-Francine Moens |
| 2023 | Deep Co-Training for Cross-Modality Medical Image Segmentation. Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, Beng Chin Ooi |
| 2023 | Deep Ensemble Robustness by Adaptive Sampling in Dropout-Based Simultaneous Training. Quanwei Wu, Bo Huang, Yi Wang, Zhiwei Ke, Da Luo |
| 2023 | Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph. Hong Yin, Jiang Zhong, Qizhu Dai |
| 2023 | Deep Reinforcement Learning with Implicit Imitation for Lane-Free Autonomous Driving. Iason Chrysomallis, Dimitrios Troullinos, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou |
| 2023 | Deep Unsupervised Hashing with Hyperbolic Multi-Structure Learning. Chuang Zhao, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Qiang Cao |
| 2023 | DeepDiscord: Dual Contrastive Coding for Transferable Time Series Anomaly Detection. Xin-Yi Li, Pei-Nan Zhong, Di Chen, Zhendong Zhang, Yu-Bin Yang |
| 2023 | Degradation-Resistant Offline Optimization via Accumulative Risk Control. Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu |
| 2023 | Detecting Out-of-Distribution Objects Using Neuron Activation Patterns. Bartlomiej Olber, Krystian Radlak, Krystian Chachula, Jakub Lyskawa, Piotr Fratczak |
| 2023 | Diffusion Model for Camouflaged Object Detection. Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin |
| 2023 | Diffusion Multi-Unit Auctions with Diminishing Marginal Utility Buyers. Haolin Liu, Xinyuan Lian, Dengji Zhao |
| 2023 | Dimensions of Similarity: Towards Interpretable Dimension-Based Text Similarity. Hans Ole Hatzel, Fynn Petersen-Frey, Tim Fischer, Chris Biemann |
| 2023 | Disentangling Interaction Using Maximum Entropy Reinforcement Learning in Multi-Agent Systems. David Rother, Thomas H. Weisswange, Jan Peters |
| 2023 | Distributionally Robust Cross Subject EEG Decoding. Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh |
| 2023 | Diverse, Top-k, and Top-Quality Planning Over Simulators. Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky |
| 2023 | Diversified Prior Knowledge Enhanced General Language Model for Biomedical Information Retrieval. Yizheng Huang, Jimmy X. Huang |
| 2023 | Do Not Trust Me: Explainability Against Text Classification. Mateusz Gniewkowski, Pawel Walkowiak, Piotr Syga, Marek Klonowski, Tomasz Walkowiak |
| 2023 | Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection. Geng Tu, Bin Liang, Xiucheng Lyu, Lin Gui, Ruifeng Xu |
| 2023 | Domain Knowledge Injection in Bayesian Search for New Materials. Zikai Xie, Xenophon Evangelopoulos, Joseph C. R. Thacker, Andrew I. Cooper |
| 2023 | Double Logistic Regression Approach to Biased Positive-Unlabeled Data. Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre |
| 2023 | Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation. Liangliang Chen, Hongzhan Lin, Jinshan Ma, Guang Chen |
| 2023 | Dynamic Causality. Maksim Gladyshev, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan |
| 2023 | Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction. Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li |
| 2023 | Dynamic Workload-Aware Bike Rebalancing for Bike-Sharing Systems. Yuan Luo |
| 2023 | ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023) Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu |
| 2023 | EFx Budget-Feasible Allocations with High Nash Welfare. Marius Garbea, Vasilis Gkatzelis, Xizhi Tan |
| 2023 | ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning. Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu |
| 2023 | ESSL: Enhanced Spatio-Temporal Self-Selective Learning Framework for Unsupervised Video Anomaly Detection. Qun Li, Xubei Pan, Fu Xiao, Bir Bhanu |
| 2023 | Effective and Efficient Community Search with Graph Embeddings. Xiaoxuan Gou, Xiaoliang Xu, Xiangying Wu, Runhuai Chen, Yuxiang Wang, Tianxing Wu, Xiangyu Ke |
| 2023 | Efficient Algorithms for Monroe and CC Rules in Multi-Winner Elections with (Nearly) Structured Preferences. Jiehua Chen, Christian Hatschka, Sofia Simola |
| 2023 | Efficient Information Modulation Network for Image Super-Resolution. Xiao Liu, Xiangyu Liao, Xiuya Shi, Linbo Qing, Chao Ren |
| 2023 | Efficiently Computing Smallest Agreeable Sets. Robert Bredereck, Till Fluschnik, Nimrod Talmon |
| 2023 | Enforcing Natural Properties of Choice Functions, with Application for Combination. Nic Wilson |
| 2023 | Enhanced Machine Reading Comprehension Method for Aspect Sentiment Quadruplet Extraction. Shuqin Ye, Zepeng Zhai, Ruifan Li |
| 2023 | Enhancing Document-Level Relation Extraction with Relation-Specific Entity Representation and Evidence Sentence Augmentation. Qizhu Dai, Jiang Zhong, Wei Zhu, Chen Wang, Hong Yin, Qin Lei, Xue Li, Rongzhen Li |
| 2023 | Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. Hongyu Zhou, Xin Zhou, Lingzi Zhang, Zhiqi Shen |
| 2023 | Enhancing Hybrid CP-SAT Search for Disjunctive Scheduling. Arthur Bit-Monnot |
| 2023 | Enhancing Link Prediction with Self-Discriminating Augmentation for Structure-Aware Contrastive Learning. Hao-Wei Yang, Ming-Yi Chang, Chih-Ya Shen |
| 2023 | Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao |
| 2023 | Enhancing Text Generation with Cooperative Training. Hao Wang, Zhongshen Zeng, Wei Wang, Hai-Tao Zheng, Jiaxing Zhang |
| 2023 | Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers. Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli |
| 2023 | Environmentally-Aware Bundle Recommendation Using the Choquet Integral. Marco Bronzini, Erich Robbi, Paolo Viappiani, Andrea Passerini |
| 2023 | Epistemic JAADL: A Modal Logic for Joint Abilities with Imperfect Information. Zhaoshuai Liu, Aiting Liang, Yongmei Liu |
| 2023 | Evaluating Explanation Methods for Vision-and-Language Navigation. Guanqi Chen, Lei Yang, Guanhua Chen, Jia Pan |
| 2023 | Evolutionary Explainable Rule Extraction from (Modal) Random Forests. Michele Ghiotti, Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan |
| 2023 | Evolving Dictionary Representation for Few-Shot Class-Incremental Learning. Xuejun Han, Yuhong Guo |
| 2023 | Expediting Self-Play Learning in AlphaZero-Style Game-Playing Agents. Yngvi Björnsson, Róbert Leó Þormar Jónsson, Sigurjón Ingi Jónsson |
| 2023 | Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. Alberto Castagna, Ivana Dusparic |
| 2023 | Exploiting Epistemic Uncertainty at Inference Time for Early-Exit Power Saving. Jack Dymond, Sebastian Stein, Steve R. Gunn |
| 2023 | Exploration and Exploitation in Hierarchical Reinforcement Learning with Adaptive Scheduling. Zhigang Huang, Quan Liu |
| 2023 | Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation. Jie Qin, Yueming Lyu, Xingang Wang |
| 2023 | Exploring the Feasibility of Physical Adversarial Attacks: A Cybersecurity Study. Ronan Hamon, Henrik Junklewitz |
| 2023 | Extracting and Exploiting Bounds of Numeric Variables for Optimal Linear Numeric Planning. Ryo Kuroiwa, Alexander Shleyfman, J. Christopher Beck |
| 2023 | FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud. Yirui Chen, Pengjin Wei, Zhenhuan Liu, Bingchao Wang, Jie Yang, Wei Liu |
| 2023 | FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition. Yuzhao Mao, Di Lu, Yang Zhang, Xiaojie Wang |
| 2023 | FBC: Fusing Bi-Encoder and Cross-Encoder for Long-Form Text Matching. Jianbo Liao, Mingyi Jia, Junwen Duan, Jianxin Wang |
| 2023 | FMTESTING: A FEATUREIDE Plug-in for Automated Feature Model Analysis and Diagnosis. Viet-Man Le, Thi Ngoc Trang Tran, Alexander Felfernig |
| 2023 | FOND Planning for Pure-Past Linear Temporal Logic Goals. Luigi Bonassi, Giuseppe De Giacomo, Marco Favorito, Francesco Fuggitti, Alfonso Emilio Gerevini, Enrico Scala |
| 2023 | Failure Handling in BDI Plans via Runtime Enforcement. Angelo Ferrando, Rafael C. Cardoso |
| 2023 | Fair Deep Reinforcement Learning with Preferential Treatment. Guanbao Yu, Umer Siddique, Paul Weng |
| 2023 | Fair Few-Shot Learning with Auxiliary Sets. Song Wang, Jing Ma, Lu Cheng, Jundong Li |
| 2023 | Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation. Resmi Ramachandranpillai, Md. Fahim Sikder, Fredrik Heintz |
| 2023 | Fair Rent Division on a Budget Revisited. Stéphane Airiau, Hugo Gilbert, Umberto Grandi, Jérôme Lang, Anaëlle Wilczynski |
| 2023 | Fast Pareto Optimization Using Sliding Window Selection. Frank Neumann, Carsten Witt |
| 2023 | Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions. Ashwin George, Luciano Cavalcante Siebert, David A. Abbink, Arkady Zgonnikov |
| 2023 | FedCoop: Cooperative Federated Learning for Noisy Labels. Kahou Tam, Li Li, Yan Zhao, Chengzhong Xu |
| 2023 | FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation. Tongsai Jin, Zhihui Fu, Dan Meng, Jun Wang, Yue Qi, Guitao Cao |
| 2023 | Fingerprint Attack: Client De-Anonymization in Federated Learning. Qiongkai Xu, Trevor Cohn, Olga Ohrimenko |
| 2023 | Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm. Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu |
| 2023 | From Decision Trees to Explained Decision Sets. Xuanxiang Huang, João Marques-Silva |
| 2023 | From Intermediate Representations to Explanations: Exploring Hierarchical Structures in NLP. Housam Khalifa Bashier Babiker, Mi-Young Kim, Randy Goebel |
| 2023 | GAN-Generated Faces Detection: A Survey and New Perspectives. Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu |
| 2023 | GENEMASK: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning. Soumyadeep Roy, Jonas Wallat, Sowmya S. Sundaram, Wolfgang Nejdl, Niloy Ganguly |
| 2023 | Gaifman Graphs in Lifted Planning. Rostislav Horcík, Daniel Fiser |
| 2023 | Gated Adapters for Multi-Domain Neural Machine Translation. Mateusz Klimaszewski, Zeno Belligoli, Satendra Kumar, Emmanouil Stergiadis |
| 2023 | GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing. Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs |
| 2023 | Generalizing Similarity in Noisy Setups: The DIBS Phenomenon. Nayara Fonseca, Veronica Guidetti |
| 2023 | Generating Replanning Goals Through Multi-Objective Optimization in Response to Execution Observation. Alberto Pozanco, Daniel Borrajo, Manuela Veloso |
| 2023 | Generosity and the Emergence of Forgiveness in the Donation Game. Nathan Griffiths, Nir Oren |
| 2023 | Graduality in Probabilistic Argumentation Frameworks. Jeroen Paul Spaans, Dragan Doder |
| 2023 | Grafting Fine-Tuning and Reinforcement Learning for Empathetic Emotion Elicitation in Dialog Generation. Ying Zhu, Bo Wang, Dongming Zhao, Kun Huang, Zhuoxuan Jiang, Ruifang He, Yuexian Hou |
| 2023 | Graph Neural Networks for Mapping Variables Between Programs. Pedro Orvalho, Jelle Piepenbrock, Mikolás Janota, Vasco Manquinho |
| 2023 | Graph-Based Abstractive Summarization of Extracted Essential Knowledge for Low-Resource Scenarios. Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli |
| 2023 | GraphSA: Smart Contract Vulnerability Detection Combining Graph Neural Networks and Static Analysis. Long He, Xiangfu Zhao, Yichen Wang, Jiahui Yang, Xuelei Sun |
| 2023 | GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. Chaoqun Su, Chenwang Wu, Defu Lian |
| 2023 | Group Activity Recognition in Basketball Tracking Data - Neural Embeddings in Team Sports (NETS). Sandro Hauri, Slobodan Vucetic |
| 2023 | Grouped Multi-Task Learning with Hidden Tasks Enhancement. Jiachun Jin, Jiankun Wang, Lu Sun, Jie Zheng, Mineichi Kudo |
| 2023 | H2T-FAST: Head-to-Tail Feature Augmentation by Style Transfer for Long-Tailed Recognition. Ziyao Meng, Xue Gu, Qiang Shen, Adriano Tavares, Sandro Pinto, Hao Xu |
| 2023 | Heteroscedastic Causal Structure Learning. Bao Duong, Thin Nguyen |
| 2023 | Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy. Neeraj Agrawal |
| 2023 | High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation. Jiaqi Tang, Xiaogang Xu, Sixing Hu, Ying-Cong Chen |
| 2023 | High Probability Analysis for Non-Convex Stochastic Optimization with Clipping. Shaojie Li, Yong Liu |
| 2023 | High-Multiplicity Fair Allocation Using Parametric Integer Linear Programming. Robert Bredereck, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier |
| 2023 | Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li |
| 2023 | How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu |
| 2023 | How Should I Compute My Candidates? A Taxonomy and Classification of Diagnosis Computation Algorithms. Patrick Rodler |
| 2023 | IPERS: Individual Prioritized Experience Replay with Subgoals for Sparse Reward Multi-Agent Reinforcement Learning. Zaipeng Xie, Yufeng Zhang, Chentai Qiao, Sitong Shen |
| 2023 | Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations. Qingfa Xiao, Shuangyin Li, Lei Chen |
| 2023 | Identifying Helpful Learnwares Without Examining the Whole Market. Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection. Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song |
| 2023 | Improved Analysis of Greedy Algorithm on k-Submodular Knapsack. Zhongzheng Tang, Chenhao Wang |
| 2023 | Improving Adversarial Transferability with Ghost Samples. Yi Zhao, Ningping Mou, Yunjie Ge, Qian Wang |
| 2023 | Improving Bi-Objective Shortest Path Search with Early Pruning. Lawrence Mandow, José-Luis Pérez-de-la-Cruz |
| 2023 | Improving Text Semantic Similarity Modeling Through a 3D Siamese Network. Jianxiang Zang, Hui Liu |
| 2023 | Improving Visual Reinforcement Learning with Discrete Information Bottleneck Approach. Haitao Wang, Hejun Wu |
| 2023 | Incomplete Bipolar Argumentation Frameworks. Bettina Fazzinga, Sergio Flesca, Filippo Furfaro |
| 2023 | Individual Fairness Under Uncertainty. Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss |
| 2023 | Information Bound and Its Applications in Bayesian Neural Networks. Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2023 | Instance-Aware Diffusion Implicit Process for Box-Based Instance Segmentation. Hao Ren, Xingsong Liu, Junjian Huang, Ru Wan, Jian Pu, Hong Lu |
| 2023 | Instance-Wise Adaptive Tuning and Caching for Vision-Language Models. Chunjin Yang, Fanman Meng, Shuai Chen, Mingyu Liu, Runtong Zhang |
| 2023 | Integrated Private Data Trading Systems for Data Marketplaces. Weidong Li, Mengxiao Zhang, Libo Zhang, Jiamou Liu |
| 2023 | Intractability of Optimal Multi-Agent Pathfinding on Directed Graphs. Xing Tan, Pascal Bercher |
| 2023 | Investigating Neural Fit Approaches for Sentence Embedding Model Paradigms. Helena Balabin, Antonietta Gabriella Liuzzi, Jingyuan Sun, Patrick Dupont, Rik Vandenberghe, Marie-Francine Moens |
| 2023 | Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang |
| 2023 | Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain. Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen |
| 2023 | Is Performance Fairness Achievable in Presence of Attackers Under Federated Learning? Ashish Gupta, George Markowsky, Sajal K. Das |
| 2023 | Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification. Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic |
| 2023 | Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation. Nguyen Anh Tu, Hoang Thi Thu Uyen, Tu Minh Phuong, Ngo Xuan Bach |
| 2023 | Knowledge Injection for Multiagent Systems via Counterfactual Perception Shaping. Nicholas Zerbel, Kagan Tumer |
| 2023 | LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations. Kunyu Wang, Juluan Shi, Wenxuan Wang |
| 2023 | LTL Giuseppe De Giacomo, Gianmarco Parretti, Shufang Zhu |
| 2023 | Label Aggregation with Self-Supervision Enhanced Graph Transformer. Jiacheng Liu, Feilong Tang, Xiaofeng Hou |
| 2023 | Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. Jens Lehmann, Sébastien Ferré, Sahar Vahdati |
| 2023 | Learning Dual Mean Field Games on Graphs. Xu Chen, Shuo Liu, Xuan Di |
| 2023 | Learning Logic Programs by Combining Programs. Andrew Cropper, Céline Hocquette |
| 2023 | Learning Task Automata for Reinforcement Learning Using Hidden Markov Models. Alessandro Abate, Yousif Almulla, James Fox, David Hyland, Michael J. Wooldridge |
| 2023 | Learning in Teams: Peer Evaluation for Fair Assessment of Individual Contributions. Fedor Duzhin |
| 2023 | Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao |
| 2023 | Letting Go of Self-Domain Awareness: Multi-Source Domain-Adversarial Generalization via Dynamic Domain-Weighted Contrastive Transfer Learning. Yuan Ma, Yiqiang Chen, Han Yu, Yang Gu, Shijie Wen, Shuai Guo |
| 2023 | Leveraging Error Patterns to Correct Prediction Intervals. Thomas Bonnier |
| 2023 | Leximin Approximation: From Single-Objective to Multi-Objective. Eden Hartman, Avinatan Hassidim, Yonatan Aumann, Erel Segal-Halevi |
| 2023 | Lifted Successor Generation by Maximum Clique Enumeration. Simon Ståhlberg |
| 2023 | LoSS: Local Structural Separation Hypergraph Convolutional Neural Network. Bingde Hu, Yang Gao, Zunlei Feng, Mingli Song, Xinyu Wang, Ying Li |
| 2023 | Local context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering. Abhisek Tiwari, Aman Bhansali, Sriparna Saha, Pushpak Bhattacharyya, Preeti Verma, Minakshi Dhar |
| 2023 | Long-Tail Theory Under Gaussian Mixtures. Arman Bolatov, Maxat Tezekbayev, Igor Melnykov, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov |
| 2023 | MFC: A Multishot Approach to Federated Data Clustering. Jaglike Makkar, Shweta Bhumikaa Jain, Shivam Gupta |
| 2023 | MIATS: A Chinese Spelling Error Correction Algorithm Based on Multimodal Information Alignment of Three-Towers Structure. Guochao Zhao, Yan Guo, Jia Tang, Zongwei Zhu, Guixing Wu |
| 2023 | Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability. João G. Ribeiro, Cassandro Martinho, Alberto Sardinha, Francisco S. Melo |
| 2023 | MaxSAT-Based Inconsistency Measurement. Andreas Niskanen, Isabelle Kuhlmann, Matthias Thimm, Matti Järvisalo |
| 2023 | Mechanism Design for Ad Auctions with Display Prices. Bin Li, Yahui Lei |
| 2023 | Micro-Expression Spotting Method Based on AU Prototype. Yuhong He, Guangyu Wang, Lin Ma, Haifeng Li |
| 2023 | Minimum Target Sets in Non-Progressive Threshold Models: When Timing Matters. Hossein Soltani, Ahad N. Zehmakan, Ataabak B. Hushmandi |
| 2023 | Mitigating Long-Tail Language Representation Collapsing via Cross-Lingual Bootstrapped Unsupervised Fine-Tuning. Ping Guo, Yue Hu, Yubing Ren, Yunpeng Li, Jiarui Zhang, Xingsheng Zhang |
| 2023 | Model-Based Offline Policy Optimization with Adversarial Network. Junming Yang, Xingguo Chen, Shengyuan Wang, Bolei Zhang |
| 2023 | Model-Based Reinforcement Learning with Multi-Step Plan Value Estimation. Haoxin Lin, Yihao Sun, Jiaji Zhang, Yang Yu |
| 2023 | MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation Coefficient. Sen Wang, Jin Zheng |
| 2023 | Motivated Agent with Semantic Memory. Janusz A. Starzyk, Marcin Kowalik, Adrian Horzyk |
| 2023 | Multi-Agent Cooperative Games Using Belief Map Assisted Training. Chen Luo, Qinwei Huang, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu |
| 2023 | Multi-Aspect Enhanced Convolutional Neural Networks for Knowledge Graph Completion. Fu Zhang, Pengpeng Qiu, Tong Shen, Jingwei Cheng |
| 2023 | Multi-Domain Learning from Insufficient Annotations. Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang |
| 2023 | Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation. Xing Jia, Yun Xiong, Yao Zhang, Li Luo |
| 2023 | Multi-Source Domain Adaptation Through Dataset Dictionary Learning in Wasserstein Space. Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac |
| 2023 | Multi-Unit Auction over a Social Network. Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov, Mingyu Xiao |
| 2023 | Multilingual Lexical Simplification via Paraphrase Generation. Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua |
| 2023 | Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning. Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka |
| 2023 | NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse. Surendrabikram Thapa, Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Usman Naseem, Mehwish Nasim |
| 2023 | Neural Architecture Search for Explainable Networks. Yaoman Li, Irwin King |
| 2023 | Neural Network-Based Rule Models with Truth Tables. Adrien Benamira, Tristan Guérand, Thomas Peyrin, Hans Soegeng |
| 2023 | Neuro-Symbolic Procedural Semantics for Reasoning-Intensive Visual Dialogue Tasks. Lara Verheyen, Jérôme Botoko Ekila, Jens Nevens, Paul Van Eecke, Katrien Beuls |
| 2023 | No Agreement Without Loss: Learning and Social Choice in Peer Review. Pablo Barceló, Mauricio Duarte, Cristóbal Rojas, Tomasz Steifer |
| 2023 | Normalized Stochastic Heavy Ball with Adaptive Momentum. Ziqing Wen, Xiaoge Deng, Tao Sun, Dongsheng Li |
| 2023 | OER: Offline Experience Replay for Continual Offline Reinforcement Learning. Sibo Gai, Donglin Wang, Li He |
| 2023 | Obstruction Logic: A Strategic Temporal Logic to Reason About Dynamic Game Models. Davide Catta, Jean Leneutre, Vadim Malvone |
| 2023 | Offline Decentralized Multi-Agent Reinforcement Learning. Jiechuan Jiang, Zongqing Lu |
| 2023 | Omega-Regular Reward Machines. Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak |
| 2023 | On Contrastive Explanations for Tree-Based Classifiers. Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski |
| 2023 | On Explaining Agent Behaviour via Root Cause Analysis: A Formal Account Grounded in Theory of Mind. Shakil M. Khan, Maryam Rostamigiv |
| 2023 | On Observability Analysis in Multiagent Systems. Chunyan Mu, Jun Pang |
| 2023 | On Solution Discovery via Reconfiguration. Michael R. Fellows, Mario Grobler, Nicole Megow, Amer E. Mouawad, Vijayaragunathan Ramamoorthi, Frances A. Rosamond, Daniel Schmand, Sebastian Siebertz |
| 2023 | On Sustainable Ride Pooling Through Conditional Expected Value Decomposition. Avinandan Bose, Hao Jiang, Pradeep Varakantham, Zichang Ge |
| 2023 | On the Effectiveness of Compact Strategies for Opinion Diffusion in Social Environments. Carlo Adornetto, Valeria Fionda, Gianluigi Greco |
| 2023 | On the Learning Dynamics of Attention Networks. Rahul Vashisht, Harish G. Ramaswamy |
| 2023 | On the Manipulability of Maximum Vertex-Weighted Bipartite b-Matching Mechanisms. Gennaro Auricchio, Jie Zhang |
| 2023 | On the Notion of Envy Among Groups of Agents in House Allocation Problems. Nathanaël Gross-Humbert, Nawal Benabbou, Aurélie Beynier, Nicolas Maudet |
| 2023 | On the Price of Fairness in the Connected Discrete Cake Cutting Problem. Ankang Sun, Bo Li |
| 2023 | On the Robustness of Split Learning Against Adversarial Attacks. Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang |
| 2023 | On the Structural Complexity of Grounding - Tackling the ASP Grounding Bottleneck via Epistemic Programs and Treewidth. Viktor Besin, Markus Hecher, Stefan Woltran |
| 2023 | On the Variation of Max Regret with Respect to the Scaling of the Objectives. Nic Wilson |
| 2023 | One-Class Classification Approach to Variational Learning from Biased Positive Unlabeled Data. Jan Mielniczuk, Adam Wawrzenczyk |
| 2023 | Online Algorithms for Matchings with Proportional Fairness Constraints and Diversity Constraints. Anand Louis, Meghana Nasre, Prajakta Nimbhorkar, Govind S. Sankar |
| 2023 | Online Evaluation of Tail Project Boosting in Citizen Science. Amit Sultan, Avi Segal, Guy Shani, Darlene Cavalier, Kobi Gal |
| 2023 | Online Privacy Preservation for Camera-Incremental Person Re-Identification. Sheng Wu, Wenhang Ge, Jiong Wu, Jingke Meng, Huang Zhang |
| 2023 | Optimal Alignment of Temporal Knowledge Bases. Oliver Fernández Gil, Fabio Patrizi, Giuseppe Perelli, Anni-Yasmin Turhan |
| 2023 | Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties. Xiankun Yan, Anh Viet Do, Feng Shi, Xiaoyu Qin, Frank Neumann |
| 2023 | Oracle-Based Local Search for Pseudo-Boolean Optimization. Ashlin Iser, Jeremias Berg, Matti Järvisalo |
| 2023 | Overlay Neural Networks for Heterophilous Graphs. Giuseppe Pirrò |
| 2023 | PARIS: Planning Algorithms for Reconfiguring Independent Sets. Remo Christen, Salomé Eriksson, Michael Katz, Christian Muise, Alice Petrov, Florian Pommerening, Jendrik Seipp, Silvan Sievers, David Speck |
| 2023 | PLEASE: Generating Personalized Explanations in Human-Aware Planning. Stylianos Loukas Vasileiou, William Yeoh |
| 2023 | PMAA: A Progressive Multi-Scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-Temporal Satellite Imagery. Xuechao Zou, Kai Li, Junliang Xing, Pin Tao, Yachao Cui |
| 2023 | POINE Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang |
| 2023 | Pareto Rank-Preserving Supernetwork for Hardware-Aware Neural Architecture Search. Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smaïl Niar |
| 2023 | Partial Compilation of SAT Using Selective Backbones. Andrea Balogh, Guillaume Escamocher, Barry O'Sullivan |
| 2023 | Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards. Steven Bilaj, Amir Rezaei Balef, Setareh Maghsudi |
| 2023 | PiercingEye: Identifying Both Faint and Distinct Clues for Explainable Fake News Detection with Progressive Dynamic Graph Mining. Yasan Ding, Bin Guo, Yan Liu, Hao Wang, Haocheng Shen, Zhiwen Yu |
| 2023 | Preserving Semantics in Textual Adversarial Attacks. David Herel, Hugo Cisneros, Tomás Mikolov |
| 2023 | Pretraining the Vision Transformer Using Self-Supervised Methods for Vision Based Deep Reinforcement Learning. Manuel Goulão, Arlindo L. Oliveira |
| 2023 | Privacy-Enhanced AI Assistants Based on Dialogues and Case Similarity. Xiao Zhan, Stefan Sarkadi, Jose M. Such |
| 2023 | ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski |
| 2023 | Progression for Monitoring in Temporal ASP. Davide Soldà, Ignacio D. Lopez-Miguel, Ezio Bartocci, Thomas Eiter |
| 2023 | QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning. Shuo Liu, Hong Qian, Mingjia Li, Aimin Zhou |
| 2023 | R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning. Yutian Luo, Yizhao Gao, Haoran Wu, Ruitao Ma, Zhiwu Lu |
| 2023 | RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects. Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou |
| 2023 | Rank-Envy-Freeness in Roommate Matchings. Baptistin Coutance, Prasanna Maddila, Anaëlle Wilczynski |
| 2023 | Rationale-Guided Few-Shot Classification to Detect Abusive Language. Punyajoy Saha, Divyanshu Sheth, Kushal Kedia, Binny Mathew, Animesh Mukherjee |
| 2023 | Reachability Poorman Discrete-Bidding Games. Guy Avni, Tobias Meggendorfer, Suman Sadhukhan, Josef Tkadlec, Dorde Zikelic |
| 2023 | Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture. Sen Zhang, Baokui Li, Wangshu Zhang, Changlin Yang, Yicheng Chen, Sen Hu, Teng Xu, Jiwei Li |
| 2023 | Reasoning Guided by a Manual: Context-Aware Image Captioning with Novel Objects. Peiyao Hua, Haifeng Sun, Jiachang Hao, Cong Liu, Jingyu Wang, Qi Qi, Jianxin Liao |
| 2023 | Reconciling SHACL and Ontologies: Semantics and Validation via Rewriting. Shqiponja Ahmetaj, Magdalena Ortiz, Anouk Oudshoorn, Mantas Simkus |
| 2023 | Rectifying Binary Classifiers. Sylvie Coste-Marquis, Pierre Marquis |
| 2023 | Reducing Oversmoothing in Graph Neural Networks by Changing the Activation Function. Dimitrios Kelesis, Dimitrios Vogiatzis, Georgios Katsimpras, Dimitris Fotakis, Georgios Paliouras |
| 2023 | Region-Aware Dynamic Filtering Network for 3D Hand Reconstruction. Yuchen Chen, Pengfei Ren, Jingyu Wang, Haifeng Sun, Qi Qi, Jing Wang, Jianxin Liao |
| 2023 | Region-Specific Prototype Customization for Weakly Supervised Semantic Segmentation. Ruiguo Yu, Yihang Zhao, Mei Yu, Jie Gao, Chenhan Wang, Ruixuan Zhang, Xuewei Li |
| 2023 | Reinforcement Learning by Guided Safe Exploration. Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan |
| 2023 | Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes |
| 2023 | Reinforcement Learning in RDPs by Combining Deep RL with Automata Learning. Tal Shahar, Ronen I. Brafman |
| 2023 | Reinforcement Learning with Reward Machines in Stochastic Games. Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu |
| 2023 | Representative Answer Sets: Collecting Something of Everything. Elisa Böhl, Sarah Alice Gaggl, Dominik Rusovac |
| 2023 | Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries. Samik Basu, Vasant G. Honavar, Ganesh Ram Santhanam, Jia Tao |
| 2023 | Resource-Constrained Knowledge Diffusion Processes Inspired by Human Peer Learning. Ehsan Beikihassan, Amy K. Hoover, Ioannis Koutis, Ali Parviz, Niloofar Aghaieabiane |
| 2023 | Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach. Xianghong Xu, Kai Ouyang, Hai-Tao Zheng, Wenqiang Liu |
| 2023 | Revision Transformers: Instructing Language Models to Change Their Values. Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting |
| 2023 | Revisiting Graph Contrastive Learning for Anomaly Detection. Zhiyuan Liu, Chunjie Cao, Fangjian Tao, Jingzhang Sun |
| 2023 | Revisiting the Efficiency-Accuracy Tradeoff in Adapting Transformer Models via Adversarial Fine-Tuning. Minjia Zhang, Uma-Naresh Niranjan, Yuxiong He |
| 2023 | Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study. Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn |
| 2023 | Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. Daniel Kaluza, Andrzej Janusz, Dominik Slezak |
| 2023 | Robust Federated Learning Method Against Data and Model Poisoning Attacks with Heterogeneous Data Distribution. Ebtisaam Alharbi, Leandro Soriano Marcolino, Antonios Gouglidis, Qiang Ni |
| 2023 | Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents. Ziyuan Zhou, Guanjun Liu |
| 2023 | S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering. Baokui Li, Sen Zhang, Wangshu Zhang, Yicheng Chen, Changlin Yang, Sen Hu, Teng Xu, Siye Liu, Jiwei Li |
| 2023 | SCRAPS: Speech Contrastive Representations of Acoustic and Phonetic Spaces. Iván Vallés-Pérez, Grzegorz Beringer, Piotr Bilinski, Gary Cook, Roberto Barra-Chicote |
| 2023 | SDV: Simple Double Validation Model-Based Offline Reinforcement Learning. Xun Wang, Haonan Chen, Junming Yang, Zhuzhong Qian, Bolei Zhang |
| 2023 | SENA: Similarity-Based Error-Checking of Neural Activations. Raul Sena Ferreira, Joris Guérin, Jérémie Guiochet, Hélène Waeselynck |
| 2023 | SMT-Based Satisfiability Checking of Strategic Metric Temporal Logic. Magdalena Kacprzak, Artur Niewiadomski, Wojciech Penczek, Andrzej Zbrzezny |
| 2023 | SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples. Subrat Kumar Swain, Vireshwar Kumar, Dan Dongseong Kim, Guangdong Bai |
| 2023 | SUDS: Sanitizing Universal and Dependent Steganography. Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson |
| 2023 | Satisfaction-Maximizing Optimal Stopping. Stav Koren, David Sarne |
| 2023 | Scaling-Up LAO* in FOND Planning: An Ablation Study. Ramon Fraga Pereira |
| 2023 | Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks. Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding, Kenli Li |
| 2023 | Self-Expressive Network-Based Subspace Clustering for Deep Embedding. Tingting Leng, Ling Zhao, Xiaolong Xiong, Peng Cheng, Jun Zhou |
| 2023 | Semantic-Aware Dual Contrastive Learning for Multi-Label Image Classification. Leilei Ma, Dengdi Sun, Lei Wang, Haifeng Zhao, Bin Luo |
| 2023 | Sensitivity Analysis for Saturated Post-Hoc Optimization in Classical Planning. Paul Höft, David Speck, Jendrik Seipp |
| 2023 | Seq2Space: A Lightweight Solution for Sequence Modelling. Joel Rixen, Matthias Renz |
| 2023 | Settling the Score: Portioning with Cardinal Preferences. Edith Elkind, Warut Suksompong, Nicholas Teh |
| 2023 | Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search. Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman |
| 2023 | Siamese Representation Learning for Unsupervised Relation Extraction. Guangxin Zhang, Shu Chen |
| 2023 | Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl |
| 2023 | SpArX: Sparse Argumentative Explanations for Neural Networks. Hamed Ayoobi, Nico Potyka, Francesca Toni |
| 2023 | Specializing Small Language Models Towards Complex Style Transfer via Latent Attribute Pre-Training. Yongfeng Huang, Xin Chen, Lin Zhang |
| 2023 | Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning. Simon Rittel, Sebastian Tschiatschek |
| 2023 | Spectral Normalized-Cut Graph Partitioning with Fairness Constraints. Jia Li, Yanhao Wang, Arpit Merchant |
| 2023 | Stackelberg Attacks on Auctions and Blockchain Transaction Fee Mechanisms. Daji Landis, Nikolaj I. Schwartzbach |
| 2023 | Stock Movement Prediction via Attention-Aware Multi-Order Relation Graph Neural Network. Hao Peng, Jie Yang |
| 2023 | Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks. Eunkyung Park, Raymond K. Wong, Victor W. Chu |
| 2023 | Strategy Repair in Reachability Games. Pierre Gaillard, Fabio Patrizi, Giuseppe Perelli |
| 2023 | Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang |
| 2023 | Structured Sparse Multi-Task Learning with Generalized Group Lasso. Luhuan Fei, Lu Sun, Mineichi Kudo, Keigo Kimura |
| 2023 | Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score. Federico Sabbatini, Roberta Calegari |
| 2023 | Synthesis of Procedural Models for Deterministic Transition Systems. Javier Segovia-Aguas, Jonathan Ferrer-Mestres, Sergio Jiménez Celorrio |
| 2023 | T-VAKS: A Tutoring-Based Multimodal Dialog System via Knowledge Selection. Raghav Jain, Tulika Saha, Sriparna Saha |
| 2023 | TAOTF: A Two-Stage Approximately Orthogonal Training Framework in Deep Neural Networks. Taoyong Cui, Jianze Li, Yuhan Dong, Li Liu |
| 2023 | THUNDER: Named Entity Recognition Using a Teacher-Student Model with Dual Classifiers for Strong and Weak Supervisions. Seongwoong Oh, Woohwan Jung, Kyuseok Shim |
| 2023 | Tab-Attention: Self-Attention-Based Stacked Generalization for Imbalanced Credit Default Prediction. Yandan Tan, Hongbin Zhu, Jie Wu, Hongfeng Chai |
| 2023 | Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions. Sumeet Gupta, Shweta Jain, Shashi Shekhar Jha, Pao-Ann Hsiung, Ming-Hung Wang |
| 2023 | Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning. Xuantang Xiong, Linghui Meng, Jingqing Ruan, Qingyang Zhang, Guoqi Li, Dengpeng Xing, Bo Xu |
| 2023 | Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su |
| 2023 | The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-Modal Distillation. Alessio Serra, Fabio Carrara, Maurizio Tesconi, Fabrizio Falchi |
| 2023 | The Leximin Approach for a Sequence of Collective Decisions. Ido Kahana, Noam Hazon |
| 2023 | The Monad Platform - Temporal Aspects in Behavioral Modeling. Barbara Rychalska, Igor Sieradzki, Jacek Dabrowski |
| 2023 | The Problem of Coherence in Natural Language Explanations of Recommendations. Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski |
| 2023 | Theoretical Remarks on Feudal Hierarchies and Reinforcement Learning. Diogo S. Carvalho, Francisco S. Melo, Pedro A. Santos |
| 2023 | Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang |
| 2023 | Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU. Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Yuzhu Ji, Jing Lin |
| 2023 | Towards Abstractive Timeline Summarisation Using Preference-Based Reinforcement Learning. Yuxuan Ye, Edwin Simpson |
| 2023 | Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-Based NLG Method. Pedram Salimi, Nirmalie Wiratunga, David Corsar, Anjana Wijekoon |
| 2023 | Towards Flexible Time-to-Event Modeling: Optimizing Neural Networks via Rank Regression. Hyunjun Lee, Junhyun Lee, Taehwa Choi, Jaewoo Kang, Sangbum Choi |
| 2023 | Towards Legal Judgment Summarization: A Structure-Enhanced Approach. Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Xianda Zheng, Zeyu Zhang, Zijian Huang |
| 2023 | Towards Trustworthy NLP: An Adversarial Robustness Enhancement Based on Perplexity Difference. Zhaocheng Ge, Hanping Hu, Tengfei Zhao |
| 2023 | Towards a Neuronally Consistent Ontology for Robotic Agents. Florian Ahrens, Mihai Pomarlan, Daniel Beßler, Thorsten Fehr, Michael Beetz, Manfred Herrmann |
| 2023 | Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use. Lorenzo Famiglini, Andrea Campagner, Federico Cabitza |
| 2023 | Transferring Procedural Knowledge Across Commonsense Tasks. Yifan Jiang, Filip Ilievski, Kaixin Ma |
| 2023 | Transparency in Sum-Product Network Decompilation. Ioannis Papantonis, Vaishak Belle |
| 2023 | TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression. Patryk Wielopolski, Maciej Zieba |
| 2023 | TrojBits: A Hardware Aware Inference-Time Attack on Transformer-Based Language Models. Mansour Al Ghanim, Muhammad Santriaji, Qian Lou, Yan Solihin |
| 2023 | Truthful and Equitable Lateral Transshipment in Multi-Retailer Systems. Garima Shakya, Sai Koti Reddy Danda, Swaprava Nath, Pankaj Dayama, Surya Shravan Kumar Sajja |
| 2023 | Tuning in to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language. Jingyuan Sun, Xiaohan Zhang, Marie-Francine Moens |
| 2023 | Turn on the Right Track: Weakly Supervised Video Moment Retrieval with Self-Improving Query Reconstruction. Yiming Zhong, Haifeng Sun, Jiachang Hao, Jing Wang, Cheng Zhou, Qi Qi, Jingyu Wang, Jianxin Liao |
| 2023 | Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2023 | Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning. Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li |
| 2023 | Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving. Yang Lou, Qun Song, Qian Xu, Rui Tan, Jianping Wang |
| 2023 | Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb |
| 2023 | Uniform Training and Marginal Decoding for Multi-Reference Question-Answer Generation. Svitlana Vakulenko, Bill Byrne, Adrià de Gispert |
| 2023 | Unit Refutations of Difference Constraint Systems. K. Subramani, Piotr Wojciechowski |
| 2023 | Unsupervised Graph Structure-Assisted Personalized Federated Learning. Xiaoying Li, Xiaojun Chen, Bisheng Tang, Shaopu Wang, Yuexin Xuan, Zhendong Zhao |
| 2023 | Unsupervised Zero-Shot Learning for Achieve Cross-Modal Alignment with Counterfactuals. Jinyang Tai, Yike Guo |
| 2023 | User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang |
| 2023 | Using Earley Parser for Recognizing Totally Ordered Hierarchical Plans. Kristýna Pantucková, Roman Barták |
| 2023 | Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval. Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, Chris Biemann |
| 2023 | Using Weighted Matching to Solve 2-Approval/Veto Control and Bribery. Zack Fitzsimmons, Edith Hemaspaandra |
| 2023 | VMBRL3: A Simple Visual Model-Based Reinforcement Learning Framework for Continuous Control. Jian Wang, Haitao Wang, Hejun Wu |
| 2023 | Verifying Belief-Based Programs via Symbolic Dynamic Programming. Daxin Liu, Qinfei Huang, Vaishak Belle, Gerhard Lakemeyer |
| 2023 | Visualization Enhancement of Saliency Methods Based on the Sliding Window Mechanism. Xiaohong Xiang, Fuyuan Zhang, Xin Deng, Xiaoyu Ding |
| 2023 | WeaGAN: Weather-Aware Graph Attention Network for Traffic Prediction. Yuxi Wang, Yuan Luo |
| 2023 | What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono |
| 2023 | Worrisome Properties of Neural Network Controllers and Their Symbolic Representations. Jacek Cyranka, Kevin E. M. Church, Jean-Philippe Lessard |
| 2023 | XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text. Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta, Vasudeva Varma |
| 2023 | XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang, Xiaoquan Yi, Zhiying Deng |
| 2023 | XGBD: Explanation-Guided Graph Backdoor Detection. Zihan Guan, Mengnan Du, Ninghao Liu |