Abstract is missing.
- Learning Objective-Specific Active Learning Strategies with Attentive Neural ProcessesTim Bakker, Herke van Hoof, Max Welling. 3-19 [doi]
- Real: A Representative Error-Driven Approach for Active LearningCheng Chen, Yong Wang 0021, Lizi Liao, Yueguo Chen, Xiaoyong Du 0001. 20-37 [doi]
- Knowledge-Driven Active LearningGabriele Ciravegna, Frédéric Precioso, Alessandro Betti, Kevin Mottin, Marco Gori. 38-54 [doi]
- ActiveGLAE: A Benchmark for Deep Active Learning with TransformersLukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick. 55-74 [doi]
- DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node ClassificationSandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. m. Frey, Thomas Seidl 0001. 75-91 [doi]
- Quantifying Robustness to Adversarial Word SubstitutionsYuting Yang 0002, Pei Huang 0002, Juao Cao, Feifei Ma, Jian Zhang 0001, Jintao Li 0001. 95-112 [doi]
- Enhancing Adversarial Training via Reweighting Optimization TrajectoryTianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen 0008, Vlado Menkovski, Lu Yin 0006, Yulong Pei, Mykola Pechenizkiy. 113-130 [doi]
- Adversarial Imitation Learning with Controllable Rewards for Text GenerationKeizaburo Nishikino, Kenichi Kobayashi 0001. 131-146 [doi]
- Towards Minimising Perturbation Rate for Adversarial Machine Learning with PruningZhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen 0001, Kim-Kwang Raymond Choo, Huaming Chen. 147-163 [doi]
- Adversarial Sample Detection Through Neural Network Transport DynamicsSkander Karkar, Patrick Gallinari, Alain Rakotomamonjy. 164-181 [doi]
- CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-Level Anomaly DetectionJindong Li, Qianli Xing, Qi Wang, Yi Chang. 185-200 [doi]
- Graph-Level Anomaly Detection via Hierarchical Memory NetworksChaoxi Niu, Guansong Pang, Ling Chen. 201-218 [doi]
- Semi-supervised Learning from Active Noisy Soft Labels for Anomaly DetectionTimo Martens, Lorenzo Perini, Jesse Davis. 219-236 [doi]
- Learning with Noisy Labels by Adaptive Gradient-Based Outlier RemovalAnastasiia Sedova, Lena Zellinger, Benjamin Roth 0001. 237-253 [doi]
- DSV: An Alignment Validation Loss for Self-supervised Outlier Model SelectionJaemin Yoo, Yue Zhao 0016, Lingxiao Zhao, Leman Akoglu. 254-269 [doi]
- Marvolo: Programmatic Data Augmentation for Deep Malware DetectionMike Wong 0003, Edward Raff, James Holt, Ravi Netravali. 270-285 [doi]
- A Transductive Forest for Anomaly Detection with Few LabelsJingrui Zhang, Ninh D. Pham, Gillian Dobbie. 286-301 [doi]
- Co-Evolving Graph Reasoning Network for Emotion-Cause Pair ExtractionBowen Xing, Ivor W. Tsang. 305-322 [doi]
- SpotGAN: A Reverse-Transformer GAN Generates Scaffold-Constrained Molecules with Property OptimizationChen Li 0027, Yoshihiro Yamanishi. 323-338 [doi]
- Spatio-Temporal Pyramid Networks for Traffic ForecastingJia Hu, Chu Wang, Xianghong Lin. 339-354 [doi]
- A Passage Retrieval Transformer-Based Re-Ranking Model for Truthful Consumer Health SearchRishabh upadhyay, Gabriella Pasi, Marco Viviani 0001. 355-371 [doi]
- KESHEM: Knowledge Enabled Short Health Misinformation Detection FrameworkFei Liu, Yibo Li, Meiyun Zuo. 372-388 [doi]
- Dynamic Thresholding for Accurate Crack Segmentation Using Multi-objective OptimizationQin Lei, Jiang Zhong, Chen Wang, Yang Xia, Yangmei Zhou. 389-404 [doi]
- Co-supervised Pre-training of Pocket and LigandZhangyang Gao, Cheng Tan 0012, Jun Xia, Stan Z. Li. 405-421 [doi]
- Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate PredictionJiaming Li, Lang Lang, Zhenlong Zhu, Haozhao Wang, Ruixuan Li 0001, Wenchao Xu 0001. 422-437 [doi]
- DynaBench: A Benchmark Dataset for Learning Dynamical Systems from Low-Resolution DataAndrzej Dulny, Andreas Hotho, Anna Krause. 438-455 [doi]
- Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting SymmetryJonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer. 459-474 [doi]
- Cooperative Bayesian Optimization for Imperfect AgentsAli Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski. 475-490 [doi]
- Leveraging Variational Autoencoders for Multiple Data ImputationBreeshey Roskams-Hieter, Jude Wells, Sara Wade. 491-506 [doi]
- A New Framework for Classifying Probability Density FunctionsAnis Fradi, Chafik Samir. 507-522 [doi]
- Learning Conditional Instrumental Variable Representation for Causal Effect EstimationDebo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu 0003, Thuc Duy Le, Jixue Liu. 525-540 [doi]
- A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal DiscoveryJohannes Huegle, Christopher Hagedorn, Rainer Schlosser. 541-558 [doi]
- PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided FrameworkParas Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu 0001. 559-575 [doi]
- Estimating Treatment Effects Under Heterogeneous InterferenceXiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao 0002, Koh Takeuchi, Hisashi Kashima. 576-592 [doi]
- Regularization for Uplift RegressionKrzysztof Rudas, Szymon Jaroszewicz. 593-608 [doi]
- Powered Dirichlet Process - Controlling the "Rich-Get-Richer" Assumption in Bayesian ClusteringGaël Poux-Médard, Julien Velcin, Sabine Loudcher. 611-626 [doi]
- Contrastive Hierarchical ClusteringMichal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja. 627-643 [doi]
- Contrastive Learning with Cluster-Preserving Augmentation for Attributed Graph ClusteringYimei Zheng, Caiyan Jia, Jian Yu. 644-661 [doi]
- k-SubMix: Common Subspace Clustering on Mixed-Type DataMauritius Klein, Collin Leiber, Christian Böhm. 662-677 [doi]
- Transformer-Based Contrastive Multi-view Clustering via EnsemblesMingyu Zhao, Weidong Yang, Feiping Nie 0001. 678-694 [doi]
- A Deep Dynamic Latent Block Model for the Co-Clustering of Zero-Inflated Data MatricesGiulia Marchello, Marco Corneli, Charles Bouveyron. 695-710 [doi]
- cuSLINK: Single-Linkage Agglomerative Clustering on the GPUCorey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates 0001. 711-726 [doi]
- Socially Fair Center-Based and Linear Subspace ClusteringSruthi Gorantla, Kishen N. Gowda, Amit Deshpande, Anand Louis. 727-742 [doi]
- Visualizing Overlapping Biclusterings and Boolean Matrix FactorizationsThibault Marette, Pauli Miettinen, Stefan Neumann 0003. 743-758 [doi]