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ORCID30th IJCAI 2021: Virtual Event / Montreal, Canada
- Zhi-Hua Zhou:
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021. ijcai.org 2021, ISBN 978-0-9992411-9-6
Main Track
Agent-based and Multi-agent Systems
- Alessandro Aloisio
, Michele Flammini, Bojana Kodric, Cosimo Vinci:
Distance Polymatrix Coordination Games. 3-9 - Emmanuel Arrighi, Henning Fernau, Daniel Lokshtanov, Mateus de Oliveira Oliveira, Petra Wolf:
Diversity in Kemeny Rank Aggregation: A Parameterized Approach. 10-16 - Haris Aziz, Zhaohong Sun:
School Choice with Flexible Diversity Goals and Specialized Seats. 17-23 - Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin:
PROPm Allocations of Indivisible Goods to Multiple Agents. 24-30 - Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm:
Learning Within an Instance for Designing High-Revenue Combinatorial Auctions. 31-37 - Khaled Belahcène, Vincent Mousseau, Anaëlle Wilczynski:
Combining Fairness and Optimality when Selecting and Allocating Projects. 38-44 - Niclas Boehmer, Vincent Froese, Julia Henkel, Yvonne Lasars, Rolf Niedermeier, Malte Renken:
Two Influence Maximization Games on Graphs Made Temporal. 45-51 - Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier:
Winner Robustness via Swap- and Shift-Bribery: Parameterized Counting Complexity and Experiments. 52-58 - Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanislaw Szufa:
Putting a Compass on the Map of Elections. 59-65 - Martin Bullinger, Stefan Kober:
Loyalty in Cardinal Hedonic Games. 66-72 - Mark Alexander Burgess, Archie C. Chapman:
Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling. 73-81 - Mithun Chakraborty, Ulrike Schmidt-Kraepelin, Warut Suksompong:
Picking Sequences and Monotonicity in Weighted Fair Division. 82-88 - Jiehua Chen, Sanjukta Roy, Manuel Sorge:
Fractional Matchings under Preferences: Stability and Optimality. 89-95 - Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang:
Temporal Induced Self-Play for Stochastic Bayesian Games. 96-103 - Yiling Chen, Biaoshuai Tao, Fang-Yi Yu:
Cooperation in Threshold Public Projects with Binary Actions. 104-110 - Yun Kuen Cheung, Stefanos Leonardos, Georgios Piliouras:
Learning in Markets: Greed Leads to Chaos but Following the Price is Right. 111-117 - Stephen Cranefield, Ashish Dhiman:
Identifying Norms from Observation Using MCMC Sampling. 118-124 - Panayiotis Danassis, Florian Wiedemair, Boi Faltings:
Improving Multi-agent Coordination by Learning to Estimate Contention. 125-131 - Michael Dann, Yuan Yao, Brian Logan, John Thangarajah:
Multi-Agent Intention Progression with Black-Box Agents. 132-138 - Argyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak:
The Parameterized Complexity of Connected Fair Division. 139-145 - Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An:
Neural Regret-Matching for Distributed Constraint Optimization Problems. 146-153 - Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier:
Online Selection of Diverse Committees. 154-160 - Edith Elkind, Erel Segal-Halevi, Warut Suksompong:
Graphical Cake Cutting via Maximin Share. 161-167 - Edith Elkind, Erel Segal-Halevi, Warut Suksompong:
Keep Your Distance: Land Division With Separation. 168-174 - Tomer Ezra, Michal Feldman, Ron Kupfer:
On a Competitive Secretary Problem with Deferred Selections. 175-181 - Angelo Fanelli, Gianpiero Monaco, Luca Moscardelli:
Relaxed Core Stability in Fractional Hedonic Games. 182-188 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Reasoning over Argument-Incomplete AAFs in the Presence of Correlations. 189-195 - Zack Fitzsimmons, Edith Hemaspaandra:
Kemeny Consensus Complexity. 196-202 - Rupert Freeman, Evi Micha, Nisarg Shah:
Two-Sided Matching Meets Fair Division. 203-209 - Yotam Gafni, Ron Lavi, Moshe Tennenholtz:
Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation. 210-216 - Sushmita Gupta, Pallavi Jain, Saket Saurabh, Nimrod Talmon:
Even More Effort Towards Improved Bounds and Fixed-Parameter Tractability for Multiwinner Rules. 217-223 - Daniel Halpern, Nisarg Shah:
Fair and Efficient Resource Allocation with Partial Information. 224-230 - Hadi Hosseini, Fatima Umar, Rohit Vaish:
Accomplice Manipulation of the Deferred Acceptance Algorithm. 231-237 - Hadi Hosseini, Andrew Searns:
Guaranteeing Maximin Shares: Some Agents Left Behind. 238-244 - Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi:
Surprisingly Popular Voting Recovers Rankings, Surprisingly! 245-251 - Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck:
SURPRISE! and When to Schedule It. 252-260 - Jonas Israel, Markus Brill:
Dynamic Proportional Rankings. 261-267 - Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding:
A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism. 268-275 - Pallavi Jain, Krzysztof Sornat, Nimrod Talmon, Meirav Zehavi:
Participatory Budgeting with Project Groups. 276-282 - Pallavi Koppol, Henny Admoni, Reid G. Simmons:
Interaction Considerations in Learning from Humans. 283-291 - Simon Krogmann, Pascal Lenzner, Louise Molitor, Alexander Skopalik:
Two-Stage Facility Location Games with Strategic Clients and Facilities. 292-298 - Martin Lackner, Jan Maly, Simon Rey:
Fairness in Long-Term Participatory Budgeting. 299-305 - Patrick Lederer:
Strategyproof Randomized Social Choice for Restricted Sets of Utility Functions. 306-312 - Xiang Liu, Hau Chan, Minming Li, Weiwei Wu:
Budget-feasible Mechanisms for Representing Groups of Agents Proportionally. 313-320 - Thomas Ma, Vijay Menon, Kate Larson:
Improving Welfare in One-Sided Matchings using Simple Threshold Queries. 321-327 - Pasin Manurangsi, Warut Suksompong:
Generalized Kings and Single-Elimination Winners in Random Tournaments. 328-334 - Pasin Manurangsi, Warut Suksompong:
Almost Envy-Freeness for Groups: Improved Bounds via Discrepancy Theory. 335-341 - Evangelos Markakis, Georgios Papasotiropoulos:
Winner Determination and Strategic Control in Conditional Approval Voting. 342-348 - Charlotte Out, Ahad N. Zehmakan:
Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites. 349-355 - Sarah Perrin, Mathieu Laurière, Julien Pérolat, Matthieu Geist, Romuald Élie, Olivier Pietquin:
Mean Field Games Flock! The Reinforcement Learning Way. 356-362 - Naveen Raman, Sanket Shah, John P. Dickerson:
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. 363-369 - Simon Rey, Ulle Endriss, Ronald de Haan:
Shortlisting Rules and Incentives in an End-to-End Model for Participatory Budgeting. 370-376 - Govind S. Sankar, Anand Louis, Meghana Nasre, Prajakta Nimbhorkar:
Matchings with Group Fairness Constraints: Online and Offline Algorithms. 377-383 - Kyrill Schmid, Lenz Belzner, Robert Müller, Johannes Tochtermann, Claudia Linnhoff-Popien:
Stochastic Market Games. 384-390 - Munindar P. Singh, Samuel H. Christie V.:
Tango: Declarative Semantics for Multiagent Communication Protocols. 391-397 - Oskar Skibski:
Vitality Indices are Equivalent to Induced Game-Theoretic Centralities. 398-404 - Jared Soundy, Chenhao Wang, Clay Stevens, Hau Chan:
Game-theoretic Analysis of Effort Allocation of Contributors to Public Projects. 405-411 - Zhaohong Sun, Taiki Todo, Makoto Yokoo:
New Algorithms for Japanese Residency Matching. 412-418 - Zhaohong Sun, Taiki Todo, Toby Walsh:
Fair Pairwise Exchange among Groups. 419-425 - Jiawei Wang, Lijun Sun:
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning. 426-433 - Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. 434-442 - Tomasz Was, Oskar Skibski:
An Axiom System for Feedback Centralities. 443-449 - Naftali Waxman, Sarit Kraus, Noam Hazon:
Manipulation of k-Coalitional Games on Social Networks. 450-457 - Shuang Wu, Jingyu Zhao, Guangjian Tian, Jun Wang:
State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits. 458-464 - Xiaowei Wu, Bo Li, Jiarui Gan:
Budget-feasible Maximum Nash Social Welfare is Almost Envy-free. 465-471 - Dong Xing, Qianhui Liu, Qian Zheng, Gang Pan:
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork. 472-478 - He Yang:
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning. 479-485 - Steven Yin, Shatian Wang, Lingyi Zhang, Christian Kroer:
Dominant Resource Fairness with Meta-Types. 486-492 - Sixie Yu, David Kempe, Yevgeniy Vorobeychik:
Altruism Design in Networked Public Goods Games. 493-499 - Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu:
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks. 500-506 - Lixin Zou:
Data-Efficient Reinforcement Learning for Malaria Control. 507-513
AI Ethics, Trust, Fairness
- Diego Antognini, Claudiu Musat, Boi Faltings:
Interacting with Explanations through Critiquing. 515-521 - Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha:
On Smoother Attributions using Neural Stochastic Differential Equations. 522-528 - Xixi Li, Ruimin Hu, Zheng Wang, Toshihiko Yamasaki:
Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association. 529-536 - David Lindner, Hoda Heidari, Andreas Krause:
Addressing the Long-term Impact of ML Decisions via Policy Regret. 537-544 - Manel Rodriguez-Soto, Maite López-Sánchez, Juan A. Rodríguez-Aguilar:
Multi-Objective Reinforcement Learning for Designing Ethical Environments. 545-551 - Maximilian Spliethöver, Henning Wachsmuth:
Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models. 552-559 - Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao:
Decision Making with Differential Privacy under a Fairness Lens. 560-566 - Loc Trinh, Yan Liu:
An Examination of Fairness of AI Models for Deepfake Detection. 567-574 - Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin:
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. 575-582
Computer Vision I
- Fares Abawi, Tom Weber, Stefan Wermter:
GASP: Gated Attention for Saliency Prediction. 584-591 - Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski:
Explaining Self-Supervised Image Representations with Visual Probing. 592-598 - Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan:
Themis: A Fair Evaluation Platform for Computer Vision Competitions. 599-605 - Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma:
Novelty Detection via Contrastive Learning with Negative Data Augmentation. 606-614 - Jingye Chen, Bin Li, Xiangyang Xue:
Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition. 615-621 - Xianyu Chen, Ming Jiang, Qi Zhao:
Leveraging Human Attention in Novel Object Captioning. 622-628 - Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. 629-635 - Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. 636-642 - Andrea Gregor de Varda, Carlo Strapparava:
Phonovisual Biases in Language: is the Lexicon Tied to the Visual World? 643-649 - Sen Deng, Yidan Feng, Mingqiang Wei, Haoran Xie, Yiping Chen, Jonathan Li, Xiao-Ping Zhang, Jing Qin:
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining. 650-656 - Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang:
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning. 657-663 - Chenyu Gao, Qi Zhu, Peng Wang, Qi Wu:
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads. 664-670 - Lianli Gao, Yaya Cheng, Qilong Zhang, Xing Xu, Jingkuan Song:
Feature Space Targeted Attacks by Statistic Alignment. 671-677 - Xiang Gao, Yingjie Tian, Zhiquan Qi:
Multi-view Feature Augmentation with Adaptive Class Activation Mapping. 678-684 - Zhongpai Gao, Junchi Yan, Guangtao Zhai, Xiaokang Yang:
Learning Spectral Dictionary for Local Representation of Mesh. 685-692 - Guoqiang Gong, Liangfeng Zheng, Wenhao Jiang, Yadong Mu:
Self-Supervised Video Action Localization with Adversarial Temporal Transforms. 693-699 - Fuqiang Gu, Weicong Sng, Xuke Hu, Fangwen Yu:
EventDrop: Data Augmentation for Event-based Learning. 700-707 - Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo:
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. 708-714 - Yuxuan Han, Jiaolong Yang, Ying Fu:
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search. 715-721 - Ming He, Guangyi Lv, Weidong He, Jianping Fan, Guihua Zeng:
DeepME: Deep Mixture Experts for Large-scale Image Classification. 722-728 - Xiaowan Hu, Yuanhao Cai, Zhihong Liu, Haoqian Wang, Yulun Zhang:
Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising. 729-735 - Ziheng Hu, Hongtao Xie, Yuxin Wang, Jiahong Li, Zhongyuan Wang, Yongdong Zhang:
Dynamic Inconsistency-aware DeepFake Video Detection. 736-742 - Zhizhong Huang, Shouzhen Chen, Junping Zhang, Hongming Shan:
AgeFlow: Conditional Age Progression and Regression with Normalizing Flows. 743-750 - Yuqi Huo, Mingyu Ding, Haoyu Lu, Ziyuan Huang, Mingqian Tang, Zhiwu Lu, Tao Xiang:
Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. 751-757 - Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Kumar Singh:
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning. 758-764 - Zhong Ji, Kexin Chen, Haoran Wang:
Step-Wise Hierarchical Alignment Network for Image-Text Matching. 765-771 - Haobo Jiang, Jianjun Qian, Jin Xie, Jian Yang:
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration. 772-778 - Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu:
Information Bottleneck Approach to Spatial Attention Learning. 779-785 - Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang:
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. 786-792 - Jie Li, Laiyan Ding, Rui Huang:
IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement. 793-799 - Jizhizi Li, Jing Zhang, Dacheng Tao:
Deep Automatic Natural Image Matting. 800-806 - Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh:
Medical Image Segmentation using Squeeze-and-Expansion Transformers. 807-815 - Yuwei Li, Minye Wu, Yuyao Zhang, Lan Xu, Jingyi Yu:
PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging. 816-822 - Hao Liang, Shuai Yang, Wenjing Wang, Jiaying Liu:
Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting. 823-829 - Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Noise2Grad: Extract Image Noise to Denoise. 830-836 - Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong:
Direct Measure Matching for Crowd Counting. 837-844 - Yongguo Ling, Zhiming Luo, Yaojin Lin, Shaozi Li:
A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification. 845-851 - Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu:
Learning 3-D Human Pose Estimation from Catadioptric Videos. 852-859 - Hao Liu, Qiang Zhao, Yike Ma, Feng Dai:
Bipartite Matching for Crowd Counting with Point Supervision. 860-866 - Shubao Liu, Ke-Yue Zhang, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Yuan Xie, Lizhuang Ma:
Dual Reweighting Domain Generalization for Face Presentation Attack Detection. 867-873 - Xiaobin Liu, Shiliang Zhang:
Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification. 874-880 - Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo:
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference. 881-887 - Xuncheng Liu, Xudong Tian, Shaohui Lin, Yanyun Qu, Lizhuang Ma, Wang Yuan, Zhizhong Zhang, Yuan Xie:
Learn from Concepts: Towards the Purified Memory for Few-shot Learning. 888-894 - Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao:
One-Shot Affordance Detection. 895-901 - Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua:
CIMON: Towards High-quality Hash Codes. 902-908 - Hsien-Yu Meng, Zhenyu Tang, Dinesh Manocha:
Point-based Acoustic Scattering for Interactive Sound Propagation via Surface Encoding. 909-915 - Ziling Miao, Hong Liu, Wei Shi, Wanlu Xu, Hanrong Ye:
Modality-aware Style Adaptation for RGB-Infrared Person Re-Identification. 916-922 - Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani:
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks. 923-930 - Mohammad Nikzad, Yongsheng Gao, Jun Zhou:
Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising. 931-937 - Anqi Pang, Xin Chen, Haimin Luo, Minye Wu, Jingyi Yu, Lan Xu:
Few-shot Neural Human Performance Rendering from Sparse RGBD Videos. 938-944 - Yulong Pei, Yanyun Qu, Junping Zhang:
Self-boosting for Feature Distillation. 945-951 - Jinlong Peng, Zhengkai Jiang, Yueyang Gu, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin:
SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking. 952-958 - Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen:
Unsupervised Hashing with Contrastive Information Bottleneck. 959-965 - Jingwei Qu, Haibin Ling, Chenrui Zhang, Xiaoqing Lyu, Zhi Tang:
Adaptive Edge Attention for Graph Matching with Outliers. 966-972 - Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu:
Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification. 973-980
Computer Vision II
- Lixiang Ru, Bo Du, Chen Wu:
Learning Visual Words for Weakly-Supervised Semantic Segmentation. 982-988 - Takashi Shibata, Go Irie, Daiki Ikami, Yu Mitsuzumi:
Learning with Selective Forgetting. 989-996 - Jinming Su, Chao Chen, Ke Zhang, Junfeng Luo, Xiaoming Wei, Xiaolin Wei:
Structure Guided Lane Detection. 997-1003 - Sitong Su, Jingkuan Song, Lianli Gao, Junchen Zhu:
Towards Unsupervised Deformable-Instances Image-to-Image Translation. 1004-1010 - Xiaopeng Sun, Muxingzi Li, Tianyu He, Lubin Fan:
Enhance Image as You Like with Unpaired Learning. 1011-1017 - Yasheng Sun, Hang Zhou, Ziwei Liu, Hideki Koike:
Speech2Talking-Face: Inferring and Driving a Face with Synchronized Audio-Visual Representation. 1018-1024 - Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu:
Context-aware Cross-level Fusion Network for Camouflaged Object Detection. 1025-1031 - Wei Suo, Mengyang Sun, Peng Wang, Qi Wu:
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention. 1032-1038 - Guozhi Tang, Lele Xie, Lianwen Jin, Jiapeng Wang, Jingdong Chen, Zhen Xu, Qianying Wang, Yaqiang Wu, Hui Li:
MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction. 1039-1045 - Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu:
AVA: Adversarial Vignetting Attack against Visual Recognition. 1046-1053 - Xin Tong, Xianghua Ying, Yongjie Shi, He Zhao, Ruibin Wang:
Towards Cross-View Consistency in Semantic Segmentation While Varying View Direction. 1054-1060 - Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft:
Learning Interpretable Concept Groups in CNNs. 1061-1067 - Chengji Wang, Zhiming Luo, Yaojin Lin, Shaozi Li:
Text-based Person Search via Multi-Granularity Embedding Learning. 1068-1074 - Haoqing Wang, Zhi-Hong Deng:
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation. 1075-1081 - Jiapeng Wang, Tianwei Wang, Guozhi Tang, Lianwen Jin, Weihong Ma, Kai Ding, Yichao Huang:
Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences. 1082-1090 - Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong:
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. 1091-1097 - Suzhen Wang, Lincheng Li, Yu Ding, Changjie Fan, Xin Yu:
Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion. 1098-1105 - Wenjie Wang, Yufeng Shi, Shiming Chen, Qinmu Peng, Feng Zheng, Xinge You:
Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval. 1106-1112 - Wenzhe Wang, Mengdan Zhang, Runnan Chen, Guanyu Cai, Penghao Zhou, Pai Peng, Xiaowei Guo, Jian Wu, Xing Sun:
Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment. 1113-1121 - Yanbo Wang, Shaohui Lin, Yanyun Qu, Haiyan Wu, Zhizhong Zhang, Yuan Xie, Angela Yao:
Towards Compact Single Image Super-Resolution via Contrastive Self-distillation. 1122-1128 - Yimu Wang, Bo Xue, Quan Cheng, Yuhui Chen, Lijun Zhang:
Deep Unified Cross-Modality Hashing by Pairwise Data Alignment. 1129-1135 - Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji:
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping. 1136-1142 - Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng:
Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval. 1143-1149 - Zihao Wang, Xueyi Li, Zhen Li:
Local Representation is Not Enough: Soft Point-Wise Transformer for Descriptor and Detector of Local Features. 1150-1156 - Bofeng Wu, Guocheng Niu, Jun Yu, Xinyan Xiao, Jian Zhang, Hua Wu:
Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching. 1157-1164 - Hai Wu, Qing Li, Chenglu Wen, Xin Li, Xiaoliang Fan, Cheng Wang:
Tracklet Proposal Network for Multi-Object Tracking on Point Clouds. 1165-1171 - Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin:
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video. 1172-1178 - Yanan Wu, He Liu, Songhe Feng, Yi Jin, Gengyu Lyu, Zizhang Wu:
GM-MLIC: Graph Matching based Multi-Label Image Classification. 1179-1185 - Bin Xia, Shangfei Wang:
Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain. 1186-1193 - Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo:
Segmenting Transparent Objects in the Wild with Transformer. 1194-1200 - Wanlu Xu, Hong Liu, Wei Shi, Ziling Miao, Zhisheng Lu, Feihu Chen:
Adversarial Feature Disentanglement for Long-Term Person Re-identification. 1201-1207 - Hiromu Yakura, Yuki Koyama, Masataka Goto:
Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics. 1208-1216 - Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Hierarchical Self-supervised Augmented Knowledge Distillation. 1217-1223 - Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen:
RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection. 1224-1230 - Ruijing Yang, Ziyu Guan, Zitong Yu, Xiaoyi Feng, Jinye Peng, Guoying Zhao:
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction. 1231-1237 - Yu Yao, Ella M. Atkins, Matthew Johnson-Roberson, Ram Vasudevan, Xiaoxiao Du:
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction. 1238-1244 - Chao Ye, Huaidong Zhang, Xuemiao Xu, Weiwei Cai, Jing Qin, Kup-Sze Choi:
Object Detection in Densely Packed Scenes via Semi-Supervised Learning with Dual Consistency. 1245-1251 - Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu:
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition. 1252-1258 - Ziyi Yin, Ruijin Liu, Zhiliang Xiong, Zejian Yuan:
Multimodal Transformer Networks for Pedestrian Trajectory Prediction. 1259-1265 - Hui Ying, Zhaojin Huang, Shu Liu, Tianjia Shao, Kun Zhou:
EmbedMask: Embedding Coupling for Instance Segmentation. 1266-1273 - Jing Yu, Yuan Chai, Yujing Wang, Yue Hu, Qi Wu:
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation. 1274-1280 - Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, Guoying Zhao:
Dual-Cross Central Difference Network for Face Anti-Spoofing. 1281-1287 - Daichi Zhang, Chenyu Li, Fanzhao Lin, Dan Zeng, Shiming Ge:
Detecting Deepfake Videos with Temporal Dropout 3DCNN. 1288-1294 - Guoqing Zhang, Yuhao Chen, Weisi Lin, Arun Kumar Chandran, Xuan Jing:
Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification. 1295-1301 - Shuo Zhang, Zeqi Shen, Youfang Lin:
Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter. 1302-1308 - Songyang Zhang, Jiale Zhou, Xuming He:
Learning Implicit Temporal Alignment for Few-shot Video Classification. 1309-1315 - Tianyu Zhang, Weiqing Min, Jiahao Yang, Tao Liu, Shuqiang Jiang, Yong Rui:
What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation. 1316-1322 - Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang:
Context-Aware Image Inpainting with Learned Semantic Priors. 1323-1329 - Zihao Zhang, Lei Hu, Xiaoming Deng, Shihong Xia:
Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling Strategy. 1330-1337 - Shu Zhao, Dayan Wu, Yucan Zhou, Bo Li, Weiping Wang:
Rescuing Deep Hashing from Dead Bits Problem. 1338-1344 - Weibing Zhao, Xu Yan, Jiantao Gao, Ruimao Zhang, Jiayan Zhang, Zhen Li, Song Wu, Shuguang Cui:
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery. 1345-1351 - Mingrui Zhu, Changcheng Liang, Nannan Wang, Xiaoyu Wang, Zhifeng Li, Xinbo Gao:
A Sketch-Transformer Network for Face Photo-Sketch Synthesis. 1352-1358 - Yiran Zhu, Xing Xu, Fumin Shen, Yanli Ji, Lianli Gao, Heng Tao Shen:
PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation. 1359-1365
Constraints and SAT
- Carlos Ansótegui, Jordi Levy:
Reducing SAT to Max2SAT. 1367-1373 - Raphaël Boudreault, Claude-Guy Quimper:
Improved CP-Based Lagrangian Relaxation Approach with an Application to the TSP. 1374-1380 - Emilio Gamba, Bart Bogaerts, Tias Guns:
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization. 1381-1388 - Cunjing Ge, Armin Biere:
Decomposition Strategies to Count Integer Solutions over Linear Constraints. 1389-1395 - Sonja Kraiczy, Ciaran McCreesh:
Solving Graph Homomorphism and Subgraph Isomorphism Problems Faster Through Clique Neighbourhood Constraints. 1396-1402 - Sebastian Ordyniak, André Schidler, Stefan Szeider:
Backdoor DNFs. 1403-1409 - Alexander Philipp Rader, Ionela G. Mocanu, Vaishak Belle, Brendan Juba:
Learning Implicitly with Noisy Data in Linear Arithmetic. 1410-1417 - André Schidler, Stefan Szeider:
Computing Optimal Hypertree Decompositions with SAT. 1418-1424
Data Mining
- Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang:
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation. 1426-1433 - Hyunsoo Cho, Jinseok Seol, Sang-goo Lee:
Masked Contrastive Learning for Anomaly Detection. 1434-1441 - Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang:
Multi-Channel Pooling Graph Neural Networks. 1442-1448 - Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu:
Guided Attention Network for Concept Extraction. 1449-1455 - Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao:
Learning Stochastic Equivalence based on Discrete Ricci Curvature. 1456-1462 - Rui Hu, Yanmin Gong, Yuanxiong Guo:
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization. 1463-1469 - Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu:
Temporal Heterogeneous Information Network Embedding. 1470-1476 - Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. 1477-1483 - Qinbin Li, Bingsheng He, Dawn Song:
Practical One-Shot Federated Learning for Cross-Silo Setting. 1484-1490 - Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang:
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. 1491-1497 - Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann:
Modeling Trajectories with Neural Ordinary Differential Equations. 1498-1504 - Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou:
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. 1505-1511 - Chen Liu, Bo Li, Jun Zhao, Ming Su, Xudong Liu:
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning. 1512-1519 - Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Node-wise Localization of Graph Neural Networks. 1520-1526 - Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu:
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations. 1527-1533 - Yun Peng, Byron Choi, Jianliang Xu:
Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints. 1534-1540 - Min Shi, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu:
GAEN: Graph Attention Evolving Networks. 1541-1547 - Yunsheng Shi, Zhengjie Huang, Shikun Feng, Hui Zhong, Wenjing Wang, Yu Sun:
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification. 1548-1554 - Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, Evgeny Kharlamov:
Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. 1555-1562 - Lichao Sun, Lingjuan Lyu:
Federated Model Distillation with Noise-Free Differential Privacy. 1563-1570 - Lichao Sun, Jianwei Qian, Xun Chen:
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. 1571-1578 - Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang:
Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data. 1579-1585 - Qingxiong Tan, Mang Ye, Grace Lai-Hung Wong, Pong Chi Yuen:
Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data. 1586-1592 - Xiaohai Tong, Pengfei Wang, Chenliang Li, Long Xia, Shaozhang Niu:
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation. 1593-1599 - Guihong Wan, Haim Schweitzer:
Heuristic Search for Approximating One Matrix in Terms of Another Matrix. 1600-1606 - Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen:
Preference-Adaptive Meta-Learning for Cold-Start Recommendation. 1607-1614 - Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, Rongshan Yu:
Federated Learning with Fair Averaging. 1615-1623 - Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. 1624-1630 - Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. 1631-1637 - Liang Yang, Fan Wu, Zichen Zheng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo:
Heterogeneous Graph Information Bottleneck. 1638-1645 - Wenting Zhao, Yuan Fang, Zhen Cui, Tong Zhang, Jian Yang:
Graph Deformer Network. 1646-1652 - Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li:
Knowledge-based Residual Learning. 1653-1659
Heuristic Search and Game Playing
- Victoria G. Crawford:
Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions. 1661-1667 - Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer:
DACBench: A Benchmark Library for Dynamic Algorithm Configuration. 1668-1674 - Maximilian Fickert, Tianyi Gu, Wheeler Ruml:
Bounded-cost Search Using Estimates of Uncertainty. 1675-1681 - Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin:
A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-objective Optimization Problems. 1682-1688 - Hua Jiang, Dongming Zhu, Zhichao Xie, Shaowen Yao, Zhang-Hua Fu:
A New Upper Bound Based on Vertex Partitioning for the Maximum K-plex Problem. 1689-1696 - Shouda Wang, Weijie Zheng, Benjamin Doerr:
Choosing the Right Algorithm With Hints From Complexity Theory. 1697-1703
Humans and AI
- Chongyang Bai, Xiaoxue Zang, Ying Xu, Srinivas Sunkara, Abhinav Rastogi, Jindong Chen, Blaise Agüera y Arcas:
UIBert: Learning Generic Multimodal Representations for UI Understanding. 1705-1712 - Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. 1713-1721 - Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Min Kyung Lee, Matthew Lease:
Human-AI Collaboration with Bandit Feedback. 1722-1728 - Meric Altug Gemalmaz, Ming Yin:
Accounting for Confirmation Bias in Crowdsourced Label Aggregation. 1729-1735 - Dimitris Gkoumas, Qiuchi Li, Yijun Yu, Dawei Song:
An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis. 1736-1742 - Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan:
Event-based Action Recognition Using Motion Information and Spiking Neural Networks. 1743-1749 - Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang:
Item Response Ranking for Cognitive Diagnosis. 1750-1756 - Sahng-Min Yoo, Ue-Hwan Kim, Yewon Hwang, Jong-Hwan Kim:
Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard. 1757-1764
Knowledge Representation and Reasoning
- Benjamin Aminof, Giuseppe De Giacomo, Sasha Rubin:
Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up. 1766-1772 - Christel Baier, Florian Funke, Rupak Majumdar:
A Game-Theoretic Account of Responsibility Allocation. 1773-1779 - Ringo Baumann, Markus Ulbricht:
On Cycles, Attackers and Supporters - A Contribution to The Investigation of Dynamics in Abstract Argumentation. 1780-1786 - Francesco Belardinelli, Sophia Knight, Alessio Lomuscio, Bastien Maubert, Aniello Murano, Sasha Rubin:
Reasoning About Agents That May Know Other Agents' Strategies. 1787-1793 - Michael Bernreiter, Jan Maly, Stefan Woltran:
Choice Logics and Their Computational Properties. 1794-1800 - Meghyn Bienvenu, Quentin Manière, Michaël Thomazo:
Cardinality Queries over DL-Lite Ontologies. 1801-1807 - Lia Bozzone, Pavel Naumov:
Budget-Constrained Coalition Strategies with Discounting. 1808-1814 - Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yufeng Li, Stephen H. Muggleton, Yuan Jiang:
Abductive Learning with Ground Knowledge Base. 1815-1821 - Marco Console, Giuseppe De Giacomo, Maurizio Lenzerini, Manuel Namici:
Intensional and Extensional Views in DL-Lite Ontologies. 1822-1828 - Sylvie Coste-Marquis, Pierre Marquis:
On Belief Change for Multi-Label Classifier Encodings. 1829-1836 - Zhenhe Cui, Yongmei Liu, Kailun Luo:
A Uniform Abstraction Framework for Generalized Planning. 1837-1844 - Wang-Zhou Dai, Stephen H. Muggleton:
Abductive Knowledge Induction from Raw Data. 1845-1851 - Giuseppe De Giacomo, Antonio Di Stasio, Lucas M. Tabajara, Moshe Y. Vardi, Shufang Zhu:
Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis. 1852-1858 - Giuseppe De Giacomo, Paolo Felli, Marco Montali, Giuseppe Perelli:
HyperLDLf: a Logic for Checking Properties of Finite Traces Process Logs. 1859-1865 - Thomas Eiter, Aaron Hunter, François Schwarzentruber:
How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements. 1866-1872 - Leif Eriksson, Victor Lagerkvist:
Improved Algorithms for Allen's Interval Algebra: a Dynamic Programming Approach. 1873-1879 - Johannes Klaus Fichte, Markus Hecher, Yasir Mahmood, Arne Meier:
Decomposition-Guided Reductions for Argumentation and Treewidth. 1880-1886 - Maurice Funk, Jean Christoph Jung, Carsten Lutz:
Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies. 1887-1893 - Priyanka Golia, Subhajit Roy, Kuldeep S. Meel:
Program Synthesis as Dependency Quantified Formula Modulo Theory. 1894-1900 - Daniel A. Grimaldi, Maria Vanina Martinez, Ricardo Oscar Rodríguez:
Updating the Belief Promotion Operator. 1901-1907 - Daniel Habering, Till Hofmann, Gerhard Lakemeyer:
Using Platform Models for a Guided Explanatory Diagnosis Generation for Mobile Robots. 1908-1914 - Yongquan He, Peng Zhang, Luchen Liu, Qi Liang, Wenyuan Zhang, Chuang Zhang:
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. 1915-1921 - Andreas Herzig, Antonio Yuste-Ginel:
Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks. 1922-1928 - Patrick Koopmann:
Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics. 1929-1935 - Mark Law, Alessandra Russo, Krysia Broda, Elisa Bertino:
Scalable Non-observational Predicate Learning in ASP. 1936-1943 - Junchi Liang, Abdeslam Boularias:
Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism. 1944-1950 - Daxin Liu, Gerhard Lakemeyer:
Reasoning about Beliefs and Meta-Beliefs by Regression in an Expressive Probabilistic Action Logic. 1951-1958 - Emiliano Lorini, François Schwarzentruber:
Multi-Agent Belief Base Revision. 1959-1965 - Sanja Lukumbuzya, Mantas Simkus:
Bounded Predicates in Description Logics with Counting. 1966-1972 - Simon Marynissen, Bart Bogaerts, Marc Denecker:
On the Relation Between Approximation Fixpoint Theory and Justification Theory. 1973-1980 - Yutaka Nagashima:
Faster Smarter Proof by Induction in Isabelle/HOL. 1981-1988 - Pavel Naumov, Jia Tao:
Two Forms of Responsibility in Strategic Games. 1989-1995 - Masaaki Nishino, Norihito Yasuda, Kengo Nakamura:
Compressing Exact Cover Problems with Zero-suppressed Binary Decision Diagrams. 1996-2004 - Thomas Orton:
Modeling Precomputation In Games Played Under Computational Constraints. 2005-2011 - Maxime Peyrard, Robert West:
A Ladder of Causal Distances. 2012-2018 - Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng:
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding. 2019-2025 - Alessandro Ronca, Giuseppe De Giacomo:
Efficient PAC Reinforcement Learning in Regular Decision Processes. 2026-2032 - Yakoub Salhi:
Inconsistency Measurement for Paraconsistent Inference. 2033-2039 - Steven Schockaert, Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto:
A Description Logic for Analogical Reasoning. 2040-2046 - Kenneth Skiba, Tjitze Rienstra, Matthias Thimm, Jesse Heyninck, Gabriele Kern-Isberner:
Ranking Extensions in Abstract Argumentation. 2047-2053 - Fangzheng Sun, Yang Liu, Hao Sun:
Physics-informed Spline Learning for Nonlinear Dynamics Discovery. 2054-2061 - Alice Tarzariol, Martin Gebser, Konstantin Schekotihin:
Lifting Symmetry Breaking Constraints with Inductive Logic Programming. 2062-2068 - Matthias Thimm, Federico Cerutti, Mauro Vallati:
Skeptical Reasoning with Preferred Semantics in Abstract Argumentation without Computing Preferred Extensions. 2069-2075 - Alexandros Vassiliades, Theodore Patkos, Giorgos Flouris, Antonis Bikakis, Nick Bassiliades, Dimitris Plexousakis:
Abstract Argumentation Frameworks with Domain Assignments. 2076-2082 - Tarik Viehmann, Till Hofmann, Gerhard Lakemeyer:
Transforming Robotic Plans with Timed Automata to Solve Temporal Platform Constraints. 2083-2089 - Kai Wang, Yu Liu, Quan Z. Sheng:
Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction. 2090-2096 - Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao:
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. 2097-2103 - Pengyu Zhao, Kecheng Xiao, Yuanxing Zhang, Kaigui Bian, Wei Yan:
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System. 2104-2110
Machine Learning
- Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz:
The Surprising Power of Graph Neural Networks with Random Node Initialization. 2112-2118 - Amirhossein Ahmadian, Fredrik Lindsten:
Likelihood-free Out-of-Distribution Detection with Invertible Generative Models. 2119-2125 - Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Pawel Ambrozewicz, Florian Hauenstein, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li:
Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). 2126-2132 - Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff:
Deep Reinforcement Learning for Navigation in AAA Video Games. 2133-2139 - Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang:
Conditional Self-Supervised Learning for Few-Shot Classification. 2140-2146 - Noor H. Awad, Neeratyoy Mallik, Frank Hutter:
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. 2147-2153 - Edoardo Bacci, Mirco Giacobbe, David Parker:
Verifying Reinforcement Learning up to Infinity. 2154-2160 - Akhil Bagaria, Jason K. Senthil, Matthew Slivinski, George Konidaris:
Robustly Learning Composable Options in Deep Reinforcement Learning. 2161-2169 - Andrea Baisero, Christopher Amato:
Reconciling Rewards with Predictive State Representations. 2170-2176 - Siddharth Barman, Ramakrishnan Krishnamurthy, Saladi Rahul:
Optimal Algorithms for Range Searching over Multi-Armed Bandits. 2177-2183 - Ben Batten, Panagiotis Kouvaros, Alessio Lomuscio, Yang Zheng:
Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts. 2184-2190 - Chao Bian, Chao Qian, Frank Neumann, Yang Yu:
Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints. 2191-2197 - Nan Cao, Teng Zhang, Hai Jin:
Partial Multi-Label Optimal Margin Distribution Machine. 2198-2204 - Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu:
Towards Understanding the Spectral Bias of Deep Learning. 2205-2211 - Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson:
Thompson Sampling for Bandits with Clustered Arms. 2212-2218 - Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh:
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. 2219-2226 - Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. 2227-2234 - Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. 2235-2241 - Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang:
Learning Attributed Graph Representation with Communicative Message Passing Transformer. 2242-2248 - Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang:
Understanding Structural Vulnerability in Graph Convolutional Networks. 2249-2255 - Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman:
Monte Carlo Filtering Objectives. 2256-2262 - Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin:
Dependent Multi-Task Learning with Causal Intervention for Image Captioning. 2263-2270 - Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan:
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images. 2271-2277 - Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang:
On Self-Distilling Graph Neural Network. 2278-2284 - Zipeng Chen, Qianli Ma, Zhenxi Lin:
Time-Aware Multi-Scale RNNs for Time Series Modeling. 2285-2291 - Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh:
Variational Model-based Policy Optimization. 2292-2299 - Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang:
CuCo: Graph Representation with Curriculum Contrastive Learning. 2300-2306 - Saar Cohen, Noa Agmon:
Convexified Graph Neural Networks for Distributed Control in Robotic Swarms. 2307-2313 - Wanyun Cui, Sen Yan:
Isotonic Data Augmentation for Knowledge Distillation. 2314-2320 - Xiang Deng, Zhongfei Zhang:
Graph-Free Knowledge Distillation for Graph Neural Networks. 2321-2327 - Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. 2328-2336 - Gideon Dresdner, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, Gunnar Rätsch:
Boosting Variational Inference With Locally Adaptive Step-Sizes. 2337-2343 - Yinglin Duan, Tianyang Shi, Zhipeng Hu, Zhengxia Zou, Changjie Fan, Yi Yuan, Xi Li:
Automatic Translation of Music-to-Dance for In-Game Characters. 2344-2351 - Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. 2352-2359 - Ehsan Emamjomeh-Zadeh, Renato Paes Leme, Jon Schneider, Balasubramanian Sivan:
Jointly Learning Prices and Product Features. 2360-2366 - Wen-Ping Fan, Yao Zhang, Qichen Hao, Xinya Wu, Min-Ling Zhang:
BAMBOO: A Multi-instance Multi-label Approach Towards VDI User Logon Behavior Modeling. 2367-2373 - Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Invertion for Data-Free Knolwedge Distillation. 2374-2380 - Huiqiao Fu, Kaiqiang Tang, Peng Li, Wenqi Zhang, Xinpeng Wang, Guizhou Deng, Tao Wang, Chunlin Chen:
Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots. 2381-2388 - Hongchang Gao, Xiaoqian Wang, Lei Luo, Xinghua Shi:
On the Convergence of Stochastic Compositional Gradient Descent Ascent Method. 2389-2395 - Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie:
Learning Groupwise Explanations for Black-Box Models. 2396-2402 - Yongbiao Gao, Ning Xu, Xin Geng:
Video Summarization via Label Distributions Dual-Reward. 2403-2409 - Aritra Ghosh, Andrew S. Lan:
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing. 2410-2417 - Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt, Sina Zarrieß:
Method of Moments for Topic Models with Mixed Discrete and Continuous Features. 2418-2424 - Mike Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Bayesian Experience Reuse for Learning from Multiple Demonstrators. 2425-2431 - Xiuwen Gong, Dong Yuan, Wei Bao:
Fast Multi-label Learning. 2432-2438 - Xueluan Gong, Yanjiao Chen, Wenbin Yang, Guanghao Mei, Qian Wang:
InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion. 2439-2447 - Palash Goyal, Divya Choudhary, Shalini Ghosh:
Hierarchical Class-Based Curriculum Loss. 2448-2454 - Sven Gronauer, Martin Gottwald, Klaus Diepold:
The Successful Ingredients of Policy Gradient Algorithms. 2455-2461 - Yue Guan, Qifan Zhang, Panagiotis Tsiotras:
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation. 2462-2468 - Xian-Jin Gui, Wei Wang, Zhang-Hao Tian:
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion. 2469-2475 - Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen:
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. 2476-2482 - Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin:
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. 2483-2489 - Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Robust Regularization with Adversarial Labelling of Perturbed Samples. 2490-2496 - Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao:
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. 2497-2504 - Andi Han, Junbin Gao:
Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization. 2505-2511 - Qilong Han, Dan Lu, Rui Chen:
Fine-Grained Air Quality Inference via Multi-Channel Attention Model. 2512-2518 - Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai:
Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes. 2519-2525 - Layton Hayes, Prashant Doshi, Swaraj Pawar, Hari Teja Tatavarti:
State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability. 2526-2533 - Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. 2534-2541 - Yi He, Fudong Lin, Xu Yuan, Nian-Feng Tzeng:
Interpretable Minority Synthesis for Imbalanced Classification. 2542-2548 - Patrick Henriksen, Alessio Lomuscio:
DEEPSPLIT: An Efficient Splitting Method for Neural Network Verification via Indirect Effect Analysis. 2549-2555 - Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu:
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. 2556-2562 - Jing Huang, Jie Yang:
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks. 2563-2569 - Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Haibo Ye:
Asynchronous Active Learning with Distributed Label Querying. 2570-2576 - Wei Huang, Weitao Du, Richard Yi Da Xu:
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. 2577-2583 - Yacine Izza, João Marques-Silva:
On Explaining Random Forests with SAT. 2584-2591 - Tobias Jacobs, Francesco Alesiani, Gülcin Ermis:
Reinforcement Learning for Route Optimization with Robustness Guarantees. 2592-2598 - Arcchit Jain, Clément Gautrais, Angelika Kimmig, Luc De Raedt:
Learning CNF Theories Using MDL and Predicate Invention. 2599-2605 - Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu:
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs. 2606-2613 - Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang:
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging. 2614-2620 - Mohammed Asad Karim, Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai:
Knowledge Consolidation based Class Incremental Online Learning with Limited Data. 2621-2627 - Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun:
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation. 2628-2635 - Tomás Kocák, Aurélien Garivier:
Epsilon Best Arm Identification in Spectral Bandits. 2636-2642 - Panagiotis Kouvaros, Alessio Lomuscio:
Towards Scalable Complete Verification of Relu Neural Networks via Dependency-based Branching. 2643-2650 - Igor Kuznetsov, Andrey Filchenkov:
Solving Continuous Control with Episodic Memory. 2651-2657 - Emanuele La Malfa, Rhiannon Michelmore, Agnieszka M. Zbrzezny, Nicola Paoletti, Marta Kwiatkowska:
On Guaranteed Optimal Robust Explanations for NLP Models. 2658-2665 - Théo Lacombe, Yuichi Ike, Mathieu Carrière, Frédéric Chazal, Marc Glisse, Yuhei Umeda:
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs. 2666-2672 - Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. 2673-2679 - Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang:
TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. 2680-2686 - Pan Li, Yanwei Fu, Shaogang Gong:
Regularising Knowledge Transfer by Meta Functional Learning. 2687-2693 - Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie:
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. 2694-2700 - Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng:
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method. 2701-2707 - Qianqiao Liang, Mengying Zhu, Xiaolin Zheng, Yan Wang:
An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets. 2708-2715 - Weixuan Lin, Di Wu:
Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks. 2716-2722 - Zhiping Lin, Zhao Kang:
Graph Filter-based Multi-view Attributed Graph Clustering. 2723-2729 - Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
On the Intrinsic Differential Privacy of Bagging. 2730-2736 - Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian:
Two-stage Training for Learning from Label Proportions. 2737-2743 - Qiao Liu, Hui Xue:
Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation. 2744-2750 - Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji:
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion. 2751-2759 - Ziyu Liu, Wei Shao, Jie Zhang, Min Zhang, Kun Huang:
Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification. 2760-2766 - Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. 2767-2774 - Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu:
Stochastic Actor-Executor-Critic for Image-to-Image Translation. 2775-2781 - Jiayao Ma, Xinbo Jiang, Songhua Xu, Xueying Qin:
Hierarchical Temporal Multi-Instance Learning for Video-based Student Learning Engagement Assessment. 2782-2789 - Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Multi-Cause Effect Estimation with Disentangled Confounder Representation. 2790-2796 - Xiaoteng Ma, Xiaohang Tang, Li Xia, Jun Yang, Qianchuan Zhao:
Average-Reward Reinforcement Learning with Trust Region Methods. 2797-2803 - Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. 2804-2811 - Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar:
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. 2812-2818 - Jakub Michaliszyn, Jan Otop:
Minimization of Limit-Average Automata. 2819-2825 - Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant:
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. 2826-2832 - Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns:
Contrastive Losses and Solution Caching for Predict-and-Optimize. 2833-2840 - Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft:
Fine-grained Generalization Analysis of Structured Output Prediction. 2841-2847 - Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. 2848-2854 - Rahul Nair, Massimiliano Mattetti, Elizabeth Daly, Dennis Wei, Oznur Alkan, Yunfeng Zhang:
What Changed? Interpretable Model Comparison. 2855-2861 - Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung:
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport. 2862-2868 - Sumit Pai, Luca Costabello:
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes. 2869-2875 - Deng Pan, Xin Li, Dongxiao Zhu:
Explaining Deep Neural Network Models with Adversarial Gradient Integration. 2876-2883 - Qingyi Pan, Wenbo Hu, Ning Chen:
Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting. 2884-2891 - Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger:
Learning Aggregation Functions. 2892-2898 - Riccardo Poiani, Andrea Tirinzoni, Marcello Restelli:
Meta-Reinforcement Learning by Tracking Task Non-stationarity. 2899-2905 - Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. 2906-2912 - Dawei Qiu, Jianhong Wang, Junkai Wang, Goran Strbac:
Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market. 2913-2920 - Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan:
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. 2921-2927 - Edward Raff:
Exact Acceleration of K-Means++ and K-Means||. 2928-2935 - Aviv Rosenberg, Yishay Mansour:
Stochastic Shortest Path with Adversarially Changing Costs. 2936-2942 - Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu:
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. 2943-2949 - Mathieu Seurin, Florian Strub, Philippe Preux, Olivier Pietquin:
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness. 2950-2956 - Jie-Jing Shao, Zhanzhan Cheng, Yufeng Li, Shiliang Pu:
Towards Robust Model Reuse in the Presence of Latent Domains. 2957-2963 - Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. 2964-2970 - Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang:
Interpretable Compositional Convolutional Neural Networks. 2971-2978 - James Seale Smith, Cameron E. Taylor, Seth Baer, Constantine Dovrolis:
Unsupervised Progressive Learning and the STAM Architecture. 2979-2987 - Tasuku Soma, Yuichi Yoshida:
Online Risk-Averse Submodular Maximization. 2988-2994 - Guangxin Su, Weitong Chen, Miao Xu:
Positive-Unlabeled Learning from Imbalanced Data. 2995-3001 - Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool:
Neural Architecture Search of SPD Manifold Networks. 3002-3009 - Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li:
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. 3010-3016 - Huimin Sun, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Pingfu Chao, Xiaofang Zhou:
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation. 3017-3023 - Yi Sun, Iván Ramírez Díaz, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Towards Reducing Biases in Combining Multiple Experts Online. 3024-3030 - Yidan Sun, Guiyuan Jiang, Siew Kei Lam, Peilan He:
Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach. 3031-3037 - Chang Tang, Xinwang Liu, En Zhu, Lizhe Wang, Albert Y. Zomaya:
Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering. 3038-3044 - Xuwen Tang, Zhu Teng, Baopeng Zhang, Jianping Fan:
Self-supervised Network Evolution for Few-shot Classification. 3045-3051 - Ying-Peng Tang, Sheng-Jun Huang:
Dual Active Learning for Both Model and Data Selection. 3052-3058 - Son N. Tran:
Compositional Neural Logic Programming. 3059-3066 - Kazuyuki Wakasugi:
Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints. 3067-3074 - Deng-Bao Wang, Lei Feng, Min-Ling Zhang:
Learning from Complementary Labels via Partial-Output Consistency Regularization. 3075-3081 - Eric Wang, Pasha Khosravi, Guy Van den Broeck:
Probabilistic Sufficient Explanations. 3082-3088 - Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Multi-hop Attention Graph Neural Networks. 3089-3096 - Jing Wang, Xin Geng:
Learn the Highest Label and Rest Label Description Degrees. 3097-3103 - Puyu Wang, Liang Wu, Yunwen Lei:
Stability and Generalization for Randomized Coordinate Descent. 3104-3110 - Rong Wang, Jitao Lu, Yihang Lu, Feiping Nie, Xuelong Li:
Discrete Multiple Kernel k-means. 3111-3117 - Xiong Wang, Riheng Jia:
Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward. 3118-3124 - Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu-an Tan, Quanxin Zhang:
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity. 3125-3133 - Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu:
Self-Supervised Adversarial Distribution Regularization for Medication Recommendation. 3134-3140 - Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
Against Membership Inference Attack: Pruning is All You Need. 3141-3147 - Yiming Wang, Ximing Li, Jihong Ouyang:
Layer-Assisted Neural Topic Modeling over Document Networks. 3148-3154 - Yunke Wang, Chang Xu, Bo Du:
Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. 3155-3161 - Zeyuan Wang, Chaofeng Sha, Su Yang:
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models. 3162-3168 - Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang:
Reward-Constrained Behavior Cloning. 3169-3175 - Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. 3176-3184 - Danyang Wu, Jin Xu, Xia Dong, Meng Liao, Rong Wang, Feiping Nie, Xuelong Li:
GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data. 3185-3191 - Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li:
Deep Reinforcement Learning Boosted Partial Domain Adaptation. 3192-3199 - Zheng-Fan Wu, Hui Xue, Weimin Bai:
Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space. 3200-3206 - Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. 3207-3213 - Yiming Xu, Diego Klabjan:
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks. 3214-3220 - Ke Xue, Chao Qian, Ling Xu, Xudong Fei:
Evolutionary Gradient Descent for Non-convex Optimization. 3221-3227 - Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. 3228-3234 - Zhe Xue, Junping Du, Changwei Zheng, Jie Song, Wenqi Ren, MeiYu Liang:
Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data. 3235-3241 - Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang:
Differentially Private Pairwise Learning Revisited. 3242-3248 - Atsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa:
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks. 3249-3256 - Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar, Abenezer Girma, Edward W. Tunstel:
A Clustering-based framework for Classifying Data Streams. 3257-3263 - Yan Yan, Yuhong Guo:
Multi-level Generative Models for Partial Label Learning with Non-random Label Noise. 3264-3270 - Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun:
Secure Deep Graph Generation with Link Differential Privacy. 3271-3278 - Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang:
Progressive Open-Domain Response Generation with Multiple Controllable Attributes. 3279-3285 - Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang:
Unsupervised Path Representation Learning with Curriculum Negative Sampling. 3286-3292 - Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu:
BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. 3293-3299 - Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang:
Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective. 3300-3306 - Kai-Lang Yao, Wu-Jun Li:
Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks. 3307-3313 - Ziyu Ye, Yuxin Chen, Haitao Zheng:
Understanding the Effect of Bias in Deep Anomaly Detection. 3314-3320 - Xu Yuan, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Zhuoye Ding:
Improving Sequential Recommendation Consistency with Self-Supervised Imitation. 3321-3327 - Xiao Zang, Yi Xie, Jie Chen, Bo Yuan:
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models. 3328-3334 - Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng:
Hindsight Trust Region Policy Optimization. 3335-3341 - Hongjing Zhang, Ian Davidson:
Deep Descriptive Clustering. 3342-3348 - Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu:
Independence-aware Advantage Estimation. 3349-3355 - Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He:
UNBERT: User-News Matching BERT for News Recommendation. 3356-3362 - Qian-Wen Zhang, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, Min-Ling Zhang:
Correlation-Guided Representation for Multi-Label Text Classification. 3363-3369 - Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong:
Private Stochastic Non-convex Optimization with Improved Utility Rates. 3370-3376 - Weijia Zhang:
Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder. 3377-3383 - Weinan Zhang, Xihuai Wang, Jian Shen, Ming Zhou:
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. 3384-3391 - Xiao Zhang, Haoyi Xiong, Dongrui Wu:
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs. 3392-3398 - Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong:
User Retention: A Causal Approach with Triple Task Modeling. 3399-3405 - Yunhao Zhang, Junchi Yan:
Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph. 3406-3412 - Yunsheng Zhang, Dong Yan, Bei Shi, Haobo Fu, Qiang Fu, Hang Su, Jun Zhu, Ning Chen:
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu. 3413-3419 - Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Shih-Fu Chang:
Uncertainty-Aware Few-Shot Image Classification. 3420-3426 - Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. 3427-3433 - Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng:
Graph Debiased Contrastive Learning with Joint Representation Clustering. 3434-3440 - Junhe Zhao, Linlin Yang, Baochang Zhang, Guodong Guo, David S. Doermann:
Uncertainty-aware Binary Neural Networks. 3441-3447 - Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi:
Few-Shot Partial-Label Learning. 3448-3454 - Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang:
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning. 3455-3461 - Xinzhe Zhou, Wenhao Jiang, Sheng Qi, Yadong Mu:
Multi-Target Invisibly Trojaned Networks for Visual Recognition and Detection. 3462-3469 - Baozhou Zhu, H. Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars:
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression. 3470-3476 - Kefeng Zhu, Peilin Tong, Hongwei Kan, Rengang Li:
You Get What You Sow: High Fidelity Image Synthesis with a Single Pretrained Network. 3477-3483 - Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang:
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. 3484-3491
Machine Learning Applications
- Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Irina Rish, Yasaman Khazaeni:
Toward Optimal Solution for the Context-Attentive Bandit Problem. 3493-3500 - Hongchang Gao, Hanzi Xu, Slobodan Vucetic:
Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization. 3501-3507 - Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang:
Self-Guided Community Detection on Networks with Missing Edges. 3508-3514 - Kun Jin, Chaoyue Liu, Cathy Xia:
Two-Sided Wasserstein Procrustes Analysis. 3515-3521 - Zhenwen Liang, Xiangliang Zhang:
Solving Math Word Problems with Teacher Supervision. 3522-3528 - Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning:
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare. 3529-3535 - Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang:
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. 3536-3542 - Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara:
SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. 3543-3551 - Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates. 3552-3558 - Qin Wang, Jun Wei, Boyuan Wang, Zhen Li, Sheng Wang, Shuguang Cui:
Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge. 3559-3565 - Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang:
Ordering-Based Causal Discovery with Reinforcement Learning. 3566-3573 - Hua Wei, Deheng Ye, Zhao Liu, Hao Wu, Bo Yuan, Qiang Fu, Wei Yang, Zhenhui Li:
Boosting Offline Reinforcement Learning with Residual Generative Modeling. 3574-3580 - Xi Yang, Yuan Zhang, Min Chi:
Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling. 3581-3587
Multidisciplinary Topics and Applications
- Sidahmed Benabderrahmane, Ghita Berrada, James Cheney, Petko Valtchev:
A Rule Mining-based Advanced Persistent Threats Detection System. 3589-3596 - Jintai Chen, Xiangshang Zheng, Hongyun Yu, Danny Z. Chen, Jian Wu:
Electrocardio Panorama: Synthesizing New ECG views with Self-supervision. 3597-3605 - Jun Chen, Quan Yuan, Chao Lu, Haifeng Huang:
A Novel Sequence-to-Subgraph Framework for Diagnosis Classification. 3606-3612 - Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis:
Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. 3613-3619 - Xu Chen, Junshan Wang, Kunqing Xie:
TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning. 3620-3626 - Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda:
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing. 3627-3634 - Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu:
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models. 3635-3641 - Qize Jiang, Jingze Li, Weiwei Sun, Baihua Zheng:
Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning. 3642-3648 - Kaizhong Jin, Xiang Cheng, Jiaxi Yang, Kaiyuan Shen:
Differentially Private Correlation Alignment for Domain Adaptation. 3649-3655 - Ke Li, Lisi Chen, Shuo Shang, Panos Kalnis, Bin Yao:
Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams. 3656-3662 - Shuxin Li, Youzhi Zhang, Xinrun Wang, Wanqi Xue, Bo An:
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space. 3663-3669 - Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng, Xiang Ao, Hao Yang:
Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network. 3670-3676 - Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang:
Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. 3677-3683 - Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang:
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. 3684-3690 - Heyuan Wang, Shun Li, Tengjiao Wang, Jiayi Zheng:
Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction. 3691-3698 - Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. 3699-3705 - Shaowei Wang, Jin Li, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang:
Hiding Numerical Vectors in Local Private and Shuffled Messages. 3706-3712 - Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo:
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play. 3713-3720 - Fan Yan, Ming Li:
Towards Generating Summaries for Lexically Confusing Code through Code Erosion. 3721-3727 - Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. 3728-3734 - Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. 3735-3741 - Enpeng Yuan, Pascal Van Hentenryck:
Real-Time Pricing Optimization for Ride-Hailing Quality of Service. 3742-3748 - Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. 3749-3755 - Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu, Wen Zhang:
CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction. 3756-3763 - Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. 3764-3770 - Guanjie Zheng, Hanyang Liu, Kai Xu, Zhenhui Li:
Objective-aware Traffic Simulation via Inverse Reinforcement Learning. 3771-3777
Natural Language Processing
- Edoardo Barba, Luigi Procopio, Caterina Lacerra, Tommaso Pasini, Roberto Navigli:
Exemplification Modeling: Can You Give Me an Example, Please? 3779-3785 - Rexhina Blloshmi, Simone Conia, Rocco Tripodi, Roberto Navigli:
Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling. 3786-3793 - Linqing Chen, Junhui Li, Zhengxian Gong, Xiangyu Duan, Boxing Chen, Weihua Luo, Min Zhang, Guodong Zhou:
Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents. 3794-3800 - Zeyuan Ding, Zhihao Yang, Hongfei Lin, Jian Wang:
Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling. 3801-3807 - Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng:
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. 3808-3814 - Zilu Guo, Zhongqiang Huang, Kenny Q. Zhu, Guandan Chen, Kaibo Zhang, Boxing Chen, Fei Huang:
Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation. 3815-3821 - Ziyou Jiang, Lin Shi, Celia Chen, Jun Hu, Qing Wang:
Dialogue Disentanglement in Software Engineering: How Far are We? 3822-3828 - Ziyue Jiang, Yi Ren, Ming Lei, Zhou Zhao:
FedSpeech: Federated Text-to-Speech with Continual Learning. 3829-3835 - Caterina Lacerra, Tommaso Pasini, Rocco Tripodi, Roberto Navigli:
ALaSca: an Automated approach for Large-Scale Lexical Substitution. 3836-3842 - Jinqing Li, Xiaojun Chen, Dakui Wang, Yuwei Li:
Enhancing Label Representations with Relational Inductive Bias Constraint for Fine-Grained Entity Typing. 3843-3849 - Na Li, Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Qing Gu, Steven Schockaert:
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings. 3850-3856 - Ronghan Li, Lifang Wang, Shengli Wang, Zejun Jiang:
Asynchronous Multi-grained Graph Network For Interpretable Multi-hop Reading Comprehension. 3857-3863 - Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing. 3864-3870 - Jian Liu, Jinan Xu, Yufeng Chen, Yujie Zhang:
Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion. 3871-3877 - Zhidong Liu, Junhui Li, Muhua Zhu:
Improving Text Generation with Dynamic Masking and Recovering. 3878-3884 - Xinwei Long, Shuzi Niu, Yucheng Li:
Consistent Inference for Dialogue Relation Extraction. 3885-3891 - Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein:
Multi-Hop Fact Checking of Political Claims. 3892-3898 - Maxime Peyrard, Beatriz Borges, Kristina Gligoric, Robert West:
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny? 3899-3905 - Nihal Potdar, Anderson Raymundo Avila, Chao Xing, Dong Wang, Yiran Cao, Xiao Chen:
A Streaming End-to-End Framework For Spoken Language Understanding. 3906-3914 - Luigi Procopio, Edoardo Barba, Federico Martelli, Roberto Navigli:
MultiMirror: Neural Cross-lingual Word Alignment for Multilingual Word Sense Disambiguation. 3915-3921 - Qingyi Si, Yuanxin Liu, Peng Fu, Zheng Lin, Jiangnan Li, Weiping Wang:
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection. 3922-3928 - Pengfei Sun, Yawen Ouyang, Wenming Zhang, Xinyu Dai:
MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification. 3929-3935 - Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang:
A Sequence-to-Set Network for Nested Named Entity Recognition. 3936-3942 - Ante Wang, Linfeng Song, Hui Jiang, Shaopeng Lai, Junfeng Yao, Min Zhang, Jinsong Su:
A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues. 3943-3949 - Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai:
Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing. 3950-3956 - Shengqiong Wu, Hao Fei, Yafeng Ren, Donghong Ji, Jingye Li:
Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge. 3957-3963 - Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu:
Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network. 3964-3970 - Xuanxuan Wu, Jian Liu, Xinjie Li, Jinan Xu, Yufeng Chen, Yujie Zhang, Hui Huang:
Improving Stylized Neural Machine Translation with Iterative Dual Knowledge Transfer. 3971-3977 - Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau:
UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. 3978-3984 - Chenyu You, Nuo Chen, Yuexian Zou:
MRD-Net: Multi-Modal Residual Knowledge Distillation for Spoken Question Answering. 3985-3991 - Mengshi Yu, Jian Liu, Yufeng Chen, Jinan Xu, Yujie Zhang:
Cross-Domain Slot Filling as Machine Reading Comprehension. 3992-3998 - Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen:
Document-level Relation Extraction as Semantic Segmentation. 3999-4006 - Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen:
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining. 4007-4014 - Chen Zheng, Parisa Kordjamshidi:
Relational Gating for "What If" Reasoning. 4015-4022
Planning and Scheduling
- Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro:
Efficient Black-Box Planning Using Macro-Actions with Focused Effects. 4024-4031 - Hendrik Baier, Michael Kaisers:
ME-MCTS: Online Generalization by Combining Multiple Value Estimators. 4032-4038 - Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. 4039-4046 - Eldan Cohen, Richard Anthony Valenzano, Sheila A. McIlraith:
Type-WA*: Using Exploration in Bounded Suboptimal Planning. 4047-4053 - Daniel Fiser, Daniel Gnad, Michael Katz, Jörg Hoffmann:
Custom-Design of FDR Encodings: The Case of Red-Black Planning. 4054-4061 - Kevin C. Gall, Wheeler Ruml, Sarah Keren:
Active Goal Recognition Design. 4062-4068 - Martin Hoefer, Kevin Schewior, Daniel Schmand:
Stochastic Probing with Increasing Precision. 4069-4075 - Hsu-Chieh Hu, Allen M. Hawkes, Stephen F. Smith:
Incorporating Queueing Dynamics into Schedule-Driven Traffic Control. 4076-4082 - Jihwan Jeong, Parth Jaggi, Scott Sanner:
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions. 4083-4089 - Nina Klobas, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Philipp Zschoche:
Interference-free Walks in Time: Temporally Disjoint Paths. 4090-4096 - Anton Korikov, Alexander Shleyfman, J. Christopher Beck:
Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR. 4097-4103 - Jan Kretínský:
LTL-Constrained Steady-State Policy Synthesis. 4104-4111 - Leonardo Lamanna, Alessandro Saetti, Luciano Serafini, Alfonso Gerevini, Paolo Traverso:
Online Learning of Action Models for PDDL Planning. 4112-4118 - Pascal Lauer, Álvaro Torralba, Daniel Fiser, Daniel Höller, Julia Wichlacz, Jörg Hoffmann:
Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning. 4119-4126 - Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig:
Anytime Multi-Agent Path Finding via Large Neighborhood Search. 4127-4135 - Jingjing Li, Qiang Wang, Wenqi Zhang, Donghai Shi, Zhiwei Qin:
Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery. 4136-4143 - Yong Li, Andrea Turrini, Moshe Y. Vardi, Lijun Zhang:
Synthesizing Good-Enough Strategies for LTLf Specifications. 4144-4151 - Songtuan Lin, Pascal Bercher:
Change the World - How Hard Can that Be? On the Computational Complexity of Fixing Planning Models. 4152-4159 - Valentin Seimetz, Rebecca Eifler, Jörg Hoffmann:
Learning Temporal Plan Preferences from Examples: An Empirical Study. 4160-4166 - Silvan Sievers, Martin Wehrle:
On Weak Stubborn Sets in Classical Planning. 4167-4174 - Simon Ståhlberg, Guillem Francès, Jendrik Seipp:
Learning Generalized Unsolvability Heuristics for Classical Planning. 4175-4181 - Petr Tomásek, Karel Horák, Aditya Aradhye, Branislav Bosanský, Krishnendu Chatterjee:
Solving Partially Observable Stochastic Shortest-Path Games. 4182-4189 - Alexander Tuisov, Michael Katz:
The Fewer the Merrier: Pruning Preferred Operators with Novelty. 4190-4196 - Shreshth Tuli, Rajas Bansal, Rohan Paul, Mausam:
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators. 4197-4205 - Jingyang Zhao, Mingyu Xiao:
The Traveling Tournament Problem with Maximum Tour Length Two: A Practical Algorithm with An Improved Approximation Bound. 4206-4212
Uncertainty in AI
- Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy:
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times. 4214-4220 - Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz:
On the Parameterized Complexity of Polytree Learning. 4221-4227 - Mattis Hartwig, Tanya Braun, Ralf Möller:
Handling Overlaps When Lifting Gaussian Bayesian Networks. 4228-4234 - Yasaman Razeghi, Kalev Kask, Yadong Lu, Pierre Baldi, Sakshi Agarwal, Rina Dechter:
Deep Bucket Elimination. 4235-4242 - Nicole Salomons, Emir Akdere, Brian Scassellati:
BKT-POMDP: Fast Action Selection for User Skill Modelling over Tasks with Multiple Skills. 4243-4249 - Fulya Trösser, Simon de Givry, George Katsirelos:
Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming. 4250-4257 - Benjie Wang, Clare Lyle, Marta Kwiatkowska:
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions. 4258-4265 - Yuanhong Wang, Timothy van Bremen, Juhua Pu, Yuyi Wang, Ondrej Kuzelka:
Fast Algorithms for Relational Marginal Polytopes. 4266-4274
Survey Track
Uncertainty in AI
- Durgesh Agrawal, Yash Pote, Kuldeep S. Meel:
Partition Function Estimation: A Quantitative Study. 4276-4285 - Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li:
A Survey of Machine Learning-Based Physics Event Generation. 4286-4293 - Elliot Anshelevich, Aris Filos-Ratsikas, Nisarg Shah, Alexandros A. Voudouris:
Distortion in Social Choice Problems: The First 15 Years and Beyond. 4294-4301 - Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ron P. A. Petrick:
Building Affordance Relations for Robotic Agents - A Review. 4302-4311 - Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang:
Recent Advances in Adversarial Training for Adversarial Robustness. 4312-4321 - Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smaïl Niar, Martin Wistuba, Naigang Wang:
Hardware-Aware Neural Architecture Search: Survey and Taxonomy. 4322-4329 - Michele Bevilacqua, Tommaso Pasini, Alessandro Raganato, Roberto Navigli:
Recent Trends in Word Sense Disambiguation: A Survey. 4330-4338 - Lu Cao, Dandan Huang, Yue Zhang:
When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding. 4339-4347 - Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial Optimization and Reasoning with Graph Neural Networks. 4348-4355 - Hau Chan, Aris Filos-Ratsikas, Bo Li, Minming Li, Chenhao Wang:
Mechanism Design for Facility Location Problems: A Survey. 4356-4365 - Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen:
Knowledge-aware Zero-Shot Learning: Survey and Perspective. 4366-4373 - Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Causal Learning for Socially Responsible AI. 4374-4381 - Yuchen Cui, Pallavi Koppol, Henny Admoni, Scott Niekum, Reid G. Simmons, Aaron Steinfeld, Tesca Fitzgerald:
Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning. 4382-4391 - Kristijonas Cyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni:
Argumentative XAI: A Survey. 4392-4399 - Sharmi Dev Gupta, Begum Genc, Barry O'Sullivan:
Explanation in Constraint Satisfaction: A Survey. 4400-4407 - Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson:
Bayesian Nonparametric Space Partitions: A Survey. 4408-4415 - Sourav Garg, Tobias Fischer, Michael Milford:
Where Is Your Place, Visual Place Recognition? 4416-4425 - Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao:
A Comprehensive Survey on Image Dehazing Based on Deep Learning. 4426-4433 - Yuhang Guo, Dong Hao:
Emerging Methods of Auction Design in Social Networks. 4434-4441 - Chao Huang:
Recent Advances in Heterogeneous Relation Learning for Recommendation. 4442-4449 - Viet Huynh, Dinh Q. Phung, He Zhao:
Optimal Transport for Deep Generative Models: State of the Art and Research Challenges. 4450-4457 - Alexey Ignatiev, João Marques-Silva, Nina Narodytska, Peter J. Stuckey:
Reasoning-Based Learning of Interpretable ML Models. 4458-4465 - Mark T. Keane, Eoin M. Kenny, Eoin Delaney, Barry Smyth:
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques. 4466-4474 - James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder:
End-to-End Constrained Optimization Learning: A Survey. 4475-4482 - Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen:
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions. 4483-4491 - Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Pretrained Language Model for Text Generation: A Survey. 4492-4499 - Xiangtan Lin, Pengzhen Ren, Yun Xiao, Xiaojun Chang, Alex Hauptmann:
Person Search Challenges and Solutions: A Survey. 4500-4507 - Yongshuai Liu, Avishai Halev, Xin Liu:
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey. 4508-4515 - Peta Masters, Mor Vered:
What's the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition. 4516-4523 - Felipe Meneguzzi, Ramon Fraga Pereira:
A Survey on Goal Recognition as Planning. 4524-4532 - Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini:
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey. 4533-4542 - Christopher Morris, Matthias Fey, Nils M. Kriege:
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs. 4543-4550 - Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino:
Automated Fact-Checking for Assisting Human Fact-Checkers. 4551-4558 - Roberto Navigli, Michele Bevilacqua, Simone Conia, Dario Montagnini, Francesco Cecconi:
Ten Years of BabelNet: A Survey. 4559-4567 - Henri Prade, Gilles Richard:
Analogical Proportions: Why They Are Useful in AI. 4568-4576 - Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu:
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers. 4577-4584 - Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann:
Neural Temporal Point Processes: A Review. 4585-4593 - Michael Sioutis, Diedrich Wolter:
Qualitative Spatial and Temporal Reasoning: Current Status and Future Challenges. 4594-4601 - Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati:
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction. 4602-4610 - Warut Suksompong:
Tournaments in Computational Social Choice: Recent Developments. 4611-4618 - Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang:
A Survey on Response Selection for Retrieval-based Dialogues. 4619-4626