Table of Contents

• Preface / Frontmatter [doi]
• Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix ManifoldsReza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley 0001. 1-16 [doi]
• Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuronJun-Kun Wang, Jacob D. Abernethy. 17-32 [doi]
• Hybrid Estimation for Open-Ended Questions with Early-Age Students' Block-Based Programming AnswersHao Wu, Tianyi Chen, Xianzhe Luo, Canghong Jin, Yun Zhang, Minghui Wu. 33-48 [doi]
• The Power of Factorial Powers: New Parameter settings for (Stochastic) OptimizationAaron Defazio, Robert M. Gower. 49-64 [doi]
• Local Aggressive Adversarial Attacks on 3D Point CloudYiming Sun, Feng Chen, ZhiYu Chen, Mingjie Wang. 65-80 [doi]
• h-DBSCAN: A simple fast DBSCAN algorithm for big dataShaoyuan Weng, Jin Gou, Zongwen Fan. 81-96 [doi]
• CTAB-GAN: Effective Table Data SynthesizingZilong Zhao 0001, Aditya Kunar, Robert Birke, Lydia Y. Chen. 97-112 [doi]
• Fairness constraint of Fuzzy C-means Clustering improves clustering fairnessXia Xu, Hui Zhang, Chunming Yang, Xujian Zhao, Bo Li 0065. 113-128 [doi]
• Meta-Model-Based Meta-Policy OptimizationTakuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka. 129-144 [doi]
• An Aligned Subgraph Kernel Based on Discrete-Time Quantum WalkKai Liu, Lulu Wang, Yi Zhang. 145-157 [doi]
• On the Convex Combination of Determinantal Point ProcessesTatsuya Matsuoka, Naoto Ohsaka, Akihiro Yabe. 158-173 [doi]
• Encoder-decoder-based image transformation approach for integrating precipitation forecastsHirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda. 174-188 [doi]
• A Mutual Information Regularization for Adversarial TrainingModeste Atsague, Olukorede Fakorede, Jin Tian. 188-203 [doi]
• BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement LearningChi Zhang, Sanmukh R. Kuppannagari, Viktor K. Prasanna. 204-219 [doi]
• Cautious Actor-CriticLingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara. 220-235 [doi]
• Quaternion Graph Neural NetworksDai Quoc Nguyen, Tu Dinh Nguyen, Dinh Q. Phung. 236-251 [doi]
• Expressive Neural Voice CloningPaarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley. 252-267 [doi]
• SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG techniqueSangeeta Yadav, Sashikumaar Ganesan. 268-283 [doi]
• DDSAS: Dynamic and Differentiable Space-Architecture SearchLongxing Yang, Yu Hu 0001, Shun Lu, Zihao Sun, Jilin Mei, Yiming Zeng, Zhiping Shi 0002, Yinhe Han, Xiaowei Li. 284-299 [doi]
• Sinusoidal Flow: A Fast Invertible Autoregressive FlowYumou Wei. 299-314 [doi]
• Uplift Modeling with High Class ImbalanceOtto Nyberg, Tomasz Kusmierczyk, Arto Klami. 315-330 [doi]
• Iterative Deep Model Compression and Acceleration in the Frequency DomainYao Zeng, Xusheng Liu, Lintan Sun, Wenzhong Li, Yuchu Fang, Sanglu Lu. 331-346 [doi]
• Penalty Method for Inversion-Free Deep Bilevel OptimizationAkshay Mehra, Jihun Hamm. 347-362 [doi]
• CTS2: Time Series Smoothing with Constrained Reinforcement LearningYongshuai Liu, Xin Liu. 363-378 [doi]
• Open Images V5 Text Annotation and Yet Another Mask Text SpotterIlya Krylov, Sergei Nosov, Vladislav Sovrasov. 379-389 [doi]
• Language Representations for Generalization in Reinforcement LearningGoodger Nikolaj, Peter Vamplew 0001, Cameron Foale, Richard Dazeley. 390-405 [doi]
• Temporal Relation based Attentive Prototype Network for Few-shot Action RecognitionGuangge Wang, Haihui Ye, Xiao Wang, Weirong Ye, Hanzi Wang. 406-421 [doi]
• An Optimistic Acceleration of AMSGrad for Nonconvex OptimizationJun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li 0001. 422-437 [doi]
• Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement LearningChapman Siu, Jason Traish, Richard Yi Da Xu. 438-453 [doi]
• S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous DrivingWeihuang Chen, Fangfang Wang, Hongbin Sun. 454-469 [doi]
• Solving Machine Learning ProblemsSunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh 0003, Jayson Lynch, Iddo Drori. 470-485 [doi]
• Pedestrian Wind Factor Estimation in Complex Urban EnvironmentsSarah Mokhtar, Matthew Beveridge, Yumeng Melody Cao, Iddo Drori. 486-501 [doi]
• DPOQ: Dynamic Precision Onion QuantizationBowen Li, Kai Huang 0002, Siang Chen, Dongliang Xiong, Luc Claesen. 502-517 [doi]
• A Causal Approach for Unfair Edge Prioritization and Discrimination RemovalPavan Ravishankar, Pranshu Malviya, Balaraman Ravindran. 518-533 [doi]
• Spatial Temporal Enhanced Contrastive and Pretext Learning for Skeleton-based Action RepresentationYiwen Zhan, Yuchen Chen, Pengfei Ren, Haifeng Sun, Jingyu Wang 0001, Qi Qi 0001, Jianxin Liao. 534-547 [doi]
• QActor: Active Learning on Noisy LabelsTaraneh Younesian, Zilong Zhao 0001, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen. 548-563 [doi]
• Max-Utility Based Arm Selection Strategy For Sequential Query RecommendationsShameem A. Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos Zervas. 564-579 [doi]
• Multi-task Actor-Critic with Knowledge Transfer via a Shared CriticGengzhi Zhang, Liang Feng, Yaqing Hou. 580-593 [doi]
• Contrastive Neural Processes for Self-Supervised LearningKonstantinos Kallidromitis, Denis A. Gudovskiy, Kazuki Kozuka, Ohama Iku, Luca Rigazio. 594-609 [doi]
• Pyramid Correlation based Deep Hough Voting for Visual Object TrackingYing Wang, Tingfa Xu, Shenwang Jiang, Junjie Chen, Jianan Li. 610-625 [doi]
• calibrated adversarial trainingTianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy. 626-641 [doi]
• ASD-Conv: Monocular 3D object detection network based on Asymmetrical Segmentation Depth-aware ConvolutionXingyuan Yu, Neng Du, Ge Gao, Fan Wen. 642-655 [doi]
• Convolutional Hypercomplex Embeddings for Link PredictionCaglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo. 656-671 [doi]
• p Clipping: Equalization based Psychoacoustic Attacks against ASRsHadi Abdullah, Muhammad Sajidur Rahman, Christian Peeters, Cassidy Gibson, Washington Garcia, Vincent Bindschaedler, Thomas Shrimpton, Patrick Traynor. 672-688 [doi]
• Slice-sampling based 3D Object ClassificationXiangwen Zhao, Yi-Jun Yang, Wei Zeng, Liqun Yang, Yao Wang. 689-704 [doi]
• Multi-Branch Network for Cross-Subject EEG-based Emotion RecognitionGuang Lin, Li Zhu, Bin Ren, Yiteng Hu, Jianhai Zhang. 705-720 [doi]
• Skew-symmetrically perturbed gradient flow for convex optimizationFutoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane. 721-736 [doi]
• Improving Gaussian mixture latent variable model convergence with Optimal TransportBenoit Gaujac, Ilya Feige, David Barber. 737-752 [doi]
• Generating Deep Networks Explanations with Robust Attribution AlignmentGuohang Zeng, Yousef Kowsar, Sarah M. Erfani, James Bailey 0001. 753-768 [doi]
• Scalable gradient matching based on state space Gaussian ProcessesFutoshi Futami. 769-784 [doi]
• Domain Adaptive YOLO for One-Stage Cross-Domain DetectionShizhao Zhang, Hongya Tuo, Jian Hu, Zhongliang Jing. 785-797 [doi]
• Hierarchical Semantic Segmentation using Psychometric LearningLu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy. 798-813 [doi]
• Improving Hashing Algorithms for Similarity Search \textitvia MLE and the Control Variates TrickKeegan Kang, Sergey Kushnarev, Wong Wei Pin, Rameshwar Pratap, Haikal Yeo, Yijia Chen. 814-829 [doi]
• Feature Convolutional NetworksHe Hu 0001. 830-839 [doi]
• Bias-tolerant Fair ClassificationYixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang 0002, Fang Chen. 840-855 [doi]
• Multi-factor Memory Attentive Model for Knowledge TracingCongjie Liu, Xiaoguang Li. 856-869 [doi]
• Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data TypesBenjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström. 870-885 [doi]
• Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular OptimizationSatoki Tsuji, Hiroshi Kawaguchi, Atsuki Inoue, Yasufumi Sakai, Fuyuka Yamada. 886-901 [doi]
• ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced DataHongjiao Guan, Bin Ma, Yingtao Zhang, Xianglong Tang. 902-917 [doi]
• Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement LearningToshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara. 918-931 [doi]
• Collaborative Novelty Detection for Distributed Data by a Probabilistic MethodAkira Imakura, Xiucai Ye, Tetsuya Sakurai. 932-947 [doi]
• Efficient Coreset Constructions via Sensitivity SamplingVladimir Braverman, Dan Feldman, Harry Lang, Adiel Statman, Samson Zhou. 948-963 [doi]
• Dynamic Popularity-Aware Contrastive Learning for RecommendationFangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang. 964-968 [doi]
• Neural Graph Filtering for Context-aware RecommendationChuanyan Zhang, Xiaoguang Hong. 969-984 [doi]
• Lifelong Learning with Sketched Structural RegularizationHaoran Li, Aditya Krishnan 0001, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman. 985-1000 [doi]
• Robust Regression for Monocular Depth EstimationJulian Lienen, Nils Nommensen, Ralph Ewerth, Eyke Hüllermeier. 1001-1016 [doi]
• Transfer Learning with Adaptive Online TrAdaBoost for Data StreamsOcean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe. 1017-1032 [doi]
• Bridging Code-Text Representation Gap using ExplanationHojae Han, Youngwon Lee, Minsoo Kim, Seung-won Hwang. 1033-1048 [doi]
• ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement LearningChenran Zhao, Dianxi Shi, Yaowen Zhang, Huanhuan Yang, Shaowu Yang, Yongjun Zhang. 1049-1064 [doi]
• DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural NetworksAnsh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad, Shilpa Rao 0001. 1065-1080 [doi]
• Modeling Risky Choices in Unknown EnvironmentsVille Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami. 1081-1096 [doi]
• Expert advice problem with noisy low rank lossYaxiong Liu, Xuanke Jiang, Kohei Hatano, Eiji Takimoto. 1097-1112 [doi]
• An online semi-definite programming with a generalised log-determinant regularizer and its applicationsYaxiong Liu, Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto. 1113-1128 [doi]
• Cross-structural Factor-topic Model: Document Analysis with Sophisticated CovariatesChien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa, Kalervo Jäarvelin. 1129-1144 [doi]
• Deep Structural Contrastive Subspace ClusteringBo Peng, Wenjie Zhu. 1145-1160 [doi]
• Lifelong Learning with Branching ExpertsYi-Shan Wu 0001, Yi-Te Hong, Chi-Jen Lu. 1161-1175 [doi]
• Ensembling With a Fixed Parameter Budget: When Does It Help and Why?Didan Deng, Bertram Emil Shi. 1176-1191 [doi]
• Revisiting Weight Initialization of Deep Neural NetworksMaciej Skorski, Alessandro Temperoni, Martin Theobald. 1192-1207 [doi]
• Robust Model-based Reinforcement Learning for Autonomous Greenhouse ControlWanpeng Zhang, Xiaoyan Cao, Yao Yao 0006, Zhicheng An, Xi Xiao, Dijun Luo. 1208-1223 [doi]
• Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image EnhancementXinwei Xue, Zexuan Li, Long Ma 0002, Risheng Liu, Xin Fan 0001. 1224-1236 [doi]
• Robust Domain Randomised Reinforcement Learning through Peer-to-Peer DistillationChenyang Zhao, Timothy M. Hospedales. 1237-1252 [doi]
• PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous ClientsZichen Ma, Yu Lu, Wenye Li 0001, Jinfeng Yi, Shuguang Cui. 1253-1268 [doi]
• Multi-stream based marked point processSujun Hong, Hirotaka Hachiya. 1269-1284 [doi]
• Bayesian Latent Factor Model for Higher-order DataZerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao. 1285-1300 [doi]
• Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learningJingyan Sui, Shizhe Ding, Ruizhi Liu, Liming Xu, Dongbo Bu. 1301-1316 [doi]
• Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement LearningMarijn van Knippenberg, Mike Holenderski, Vlado Menkovski. 1317-1332 [doi]
• Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying ModelsNapoleon Costilla-Enriquez, Yang Weng. 1333-1348 [doi]
• NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training HyperparametersYoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa. 1349-1364 [doi]
• Metric Learning for comparison of HMMs using Graph Neural NetworksRajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran. 1365-1380 [doi]
• Layer-Wise Neural Network Compression via Layer FusionJames O'Neill, Greg Ver Steeg, Aram Galstyan. 1381-1396 [doi]
• Bayesian neural network unit priors and generalized Weibull-tail propertyMariia Vladimirova, Julyan Arbel, Stéphane Girard. 1397-1412 [doi]
• A Partial Label Metric Learning Algorithm for Class Imbalanced DataWenpeng Liu, Li Wang, Jie Chen, Yu Zhou, Ruirui Zheng, Jianjun He. 1413-1428 [doi]
• Scaling Average-Linkage via Sparse Cluster EmbeddingsThomas Lavastida, Kefu Lu, Benjamin Moseley, Yuyan Wang. 1429-1444 [doi]
• Multi-scale Salient Instance Segmentation based on Encoder-DecoderHouru Chen, Caijuan Shi, Wei Li, Changyu Duan, jinwei Yan. 1445-1460 [doi]
• A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label ProportionsHaoran Yang, Wanjing Zhang, Wai Lam. 1461-1476 [doi]
• 2-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural NetworksHuixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng. 1477-1492 [doi]
• Learn to Predict Vertical Track Irregularity with Extremely Imbalanced DataYutao Chen, Yu Zhang, Fei Yang. 1493-1504 [doi]
• Semi-Open Attribute Extraction from Chinese Functional Description TextLi Zhang, Yanzeng Li, Rouyu Zhang, Wenjie Li. 1505-1520 [doi]
• Regularized Mutual Learning for Personalized Federated LearningRuihong Yang, Junchao Tian, Yu Zhang. 1521-1536 [doi]
• Relation Also Need Attention: Integrating Relation Information Into Image CaptioningTianyu Chen, Zhixin Li, Tiantao Xian, Canlong Zhang, Huifang Ma. 1537-1552 [doi]
• Learning to Switch Optimizers for Quadratic ProgrammingGrant Getzelman, Prasanna Balaprakash. 1553-1568 [doi]
• Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural NetworksShibo Yao, Dantong Yu, Xiangmin Jiao. 1569-1584 [doi]
• Bayesian nonparametric model for arbitrary cubic partitioningMasahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda. 1585-1600 [doi]
• Bayesian Inference for Optimal Transport with Stochastic CostAnton Mallasto, Markus Heinonen, Samuel Kaski. 1601-1616 [doi]
• Multi-view Latent Subspace Clustering based on both Global and Local StructureHonghan Zhou, Weiling Cai, Le Xu, Yang Ming. 1617-1632 [doi]
• Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent SpaceBeomsoo Kim, Jang-Ho Choi, Jaegul Choo. 1633-1644 [doi]
• Building Decision Tree for Imbalanced Classification via Deep Reinforcement LearningGuixuan Wen, Kaigui Wu. 1645-1659 [doi]
• Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVoxBaihan Lin, Xinxin Zhang. 1660-1674 [doi]
• Video Action Recognition with Neural Architecture SearchYuanding Zhou, Baopu Li, Zhihui Wang, Haojie Li. 1675-1690 [doi]
• Learning Maximum Margin Markov Networks from examples with missing labelsVojtech Franc, Andrii Yermakov. 1691-1706 [doi]
• Maximization of Monotone k-Submodular Functions with Bounded Curvature and Non-k-Submodular FunctionsTatsuya Matsuoka, Naoto Ohsaka. 1707-1722 [doi]
• Unsupervised Cycle-Consistent Network for Removing Susceptibility Artifacts in Single-shot EPIWeida Xie, Shi Chen, Qingjia Bao, Kewen Liu, Zhao Li, Xiaojun Li, Chongxin Bai, Piqiang Li, Chaoyang Liu, Otikovs Martins. 1723-1738 [doi]
• Hybrid Summarization with Semantic Weighting Reward and Latent Structure DetectorMingYang Song, Liping Jing, Yi Feng, Zhiwei Sun, Lin Xiao. 1739-1754 [doi]
• Fast Rate Learning in Stochastic First Price BiddingJuliette Achddou, Olivier Cappé, Aurélien Garivier. 1754-1769 [doi]