Abstract is missing.
- Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo LabelingZongyao Lyu, William J. Beksi. 1-16 [doi]
- Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point ProcessYuxian Zhou, Xiaodong Yue, Yufei Chen, Shaorong Xie. 17-32 [doi]
- Knowledge Distillation in Deep Networks Under a Constrained Query BudgetAnkita Singh, Shayok Chakraborty. 33-48 [doi]
- Adabot: An Adaptive Trading Bot Using an Ensemble of Phase-Specific Few-Shot Learners to Adapt to the Changing Market DynamicsVishvajeet Upadhyay, Angshuman Paul. 49-66 [doi]
- Uncertainty in Ambiguity of DataHoang-Hiep Trinh. 67-83 [doi]
- When Uncertainty-Based Active Learning May Fail?Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan M. Urban, Byung-Jun Yoon, Xiaoning Qian. 84-100 [doi]
- Customizable and Programmable Deep LearningRatnabali Pal, Samarjit Kar, Arif Ahmed Sekh. 101-116 [doi]
- SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene ScenariosSriram Mandalika, Athira Nambiar. 117-134 [doi]
- AMC-OA: Adaptive Multi-Scale Convolutional Networks with Optimized Attention for Temporal Action LocalizationRui Yuan, Chun Yuan. 135-150 [doi]
- Comparative Analysis of Pretrained Models for Text Classification, Generation and Summarization: A Detailed AnalysisPrakrit Pathak, Prashant Singh Rana. 151-166 [doi]
- Predicting Judgement Outcomes from Legal Case File Summaries with Explainable ApproachHima Varshini Surisetty, Sarayu Varma Gottimukkala, Priyanka Prabhakar, Peeta Basa Pati. 167-183 [doi]
- Multi-view Ensemble Clustering-Based Podcast Recommendation in Indian Regional SettingYashwant Pravinrao Bangde, Naveen Saini. 184-200 [doi]
- Privacy-Preserving Ensemble Learning Using Fully Homomorphic EncryptionTilak Sharma, Nalini K. Ratha, Charanjit Jutla. 201-214 [doi]
- Capturing Temporal Components for Time Series ClassificationVenkata Ragavendra Vavilthota, Ranjith Ramanathan, Sathyanarayanan N. Aakur. 215-230 [doi]
- Hierarchical Transfer Multi-task Learning Approach for Scene ClassificationReza Khoshkangini, Mohsen Tajgardan, Mahtab Jamali, Martin Georg Ljungqvist, Radu-Casian Mihailescu, Paul Davidsson. 231-248 [doi]
- Deep Prompt Multi-task Network for Abuse Language DetectionJian Zhu, Yuping Ruan, Jingfei Chang, Wenhui Sun, Hui Wan, Jian Long, Cheng Luo. 249-263 [doi]
- All Mistakes are not Equal: Comprehensive Hierarchy Aware Multilabel Predictions (CHAMP)Ashwin Vaswani, Yashas Samaga, Gaurav Aggarwal, Praneeth Netrapalli, Narayan G. Hegde. 264-282 [doi]
- IDAL: Improved Domain Adaptive Learning for Natural Images DatasetRavi Kant Gupta, Shounak Das, Amit Sethi. 283-297 [doi]
- Large Multimodal Models Thrive with Little Data for Image Emotion PredictionPeng He, Mohamed Hussein, Wael Abd-Almageed. 298-313 [doi]
- Flatter Minima of Loss Landscapes Correspond with Strong Corruption RobustnessLiqun Zhong, Kaijie Zhu, Ge Yang 0002. 314-328 [doi]
- Restoring Noisy Images Using Dual-Tail Encoder-Decoder Signal Separation NetworkAkshay Agarwal 0001, Mayank Vatsa, Richa Singh 0001, Nalini K. Ratha. 329-345 [doi]
- Utilizing Deep Incomplete Classifiers to Implement Semantic Clustering for Killer Whale Photo Identification DataAlexander Barnhill, Jared R. Towers, Elmar Nöth, Andreas Maier 0001, Christian Bergler. 346-361 [doi]
- FPMT: Enhanced Semi-supervised Model for Traffic Incident DetectionXinying Lu, Jianli Xiao. 362-374 [doi]
- C2F-CHART: A Curriculum Learning Approach to Chart ClassificationNour Shaheen, Tamer Elsharnouby, Marwan Torki. 375-391 [doi]
- Vision DualGNN: Semantic Graph Is Not Only You NeedXiaolong Zheng, Jianming Wang, Zhitao Xiao, Yukuan Sun. 392-404 [doi]
- Enhancing Graph-Based Clustering with the Regularity LemmaJian Hou 0001, Juntao Ge, Huaqiang Yuan, Marcello Pelillo. 405-420 [doi]
- IPD: Scalable Clustering with Incremental PrototypesJayasree Saha, Jayanta Mukhopadhyay. 421-441 [doi]
- Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness EvaluationYongyu Wang, Xiaotian Zhuang. 442-452 [doi]
- Adaptive Graph-Based Manifold Learning for Gene SelectionReshma Rastogi, Mamta Bhattarai Lamsal. 453-468 [doi]