Abstract is missing.
- DialCSP: A Two-Stage Attention-Based Model for Customer Satisfaction Prediction in E-commerce Customer ServiceZhenhe Wu, Liangqing Wu, Shuangyong Song, Jiahao Ji, Bo Zou, Zhoujun Li, Xiaodong He 0001. 3-18 [doi]
- Foveated Neural ComputationMatteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci. 19-35 [doi]
- Class-Incremental Learning via Knowledge AmalgamationMarcus de Carvalho, Mahardhika Pratama, Jie Zhang 0002, Yajuan Sun. 36-50 [doi]
- Trigger Detection for the sPHENIX Experiment via Bipartite Graph Networks with Set TransformerTingting Xuan, Giorgian Borca-Tasciuc, Yimin Zhu, Yu Sun, Cameron Dean, Zhaozhong Shi, Dantong Yu. 51-67 [doi]
- Understanding Difficulty-Based Sample Weighting with a Universal Difficulty MeasureXiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang. 68-84 [doi]
- Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse NetworksGhada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy. 85-101 [doi]
- PrUE: Distilling Knowledge from Sparse Teacher NetworksShaopu Wang, Xiaojun Chen 0004, Mengzhen Kou, Jinqiao Shi. 102-117 [doi]
- Fooling Partial Dependence via Data PoisoningHubert Baniecki, Wojciech Kretowicz, Przemyslaw Biecek. 121-136 [doi]
- FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution DetectionNikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi. 137-153 [doi]
- PRoA: A Probabilistic Robustness Assessment Against Functional PerturbationsTianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend. 154-170 [doi]
- Hypothesis Testing for Class-Conditional Label NoiseRafael Poyiadzi, Weisong Yang, Niall Twomey, Raúl Santos-Rodríguez. 171-186 [doi]
- On the Prediction Instability of Graph Neural NetworksMax Klabunde, Florian Lemmerich. 187-202 [doi]
- Adversarially Robust Decision Tree RelabelingDaniël Vos, Sicco Verwer. 203-218 [doi]
- Calibrating Distance Metrics Under UncertaintyWenye Li 0001, Fangchen Yu. 219-234 [doi]
- Defending Observation Attacks in Deep Reinforcement Learning via Detection and DenoisingZikang Xiong, Joe Eappen, He Zhu 0001, Suresh Jagannathan. 235-250 [doi]
- Resisting Graph Adversarial Attack via Cooperative Homophilous AugmentationZhihao Zhu 0002, Chenwang Wu, Min Zhou 0006, Hao Liao, Defu Lian, Enhong Chen. 251-268 [doi]
- Securing Cyber-Physical Systems: Physics-Enhanced Adversarial Learning for Autonomous PlatoonsGuoxin Sun, Tansu Alpcan, Benjamin I. P. Rubinstein, Seyit Camtepe. 269-285 [doi]
- MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples DetectorsFederica Granese, Marine Picot, Marco Romanelli 0002, Francesco Messina, Pablo Piantanida. 286-303 [doi]
- Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition ModelsAlon Zolfi, Shai Avidan, Yuval Elovici, Asaf Shabtai. 304-320 [doi]
- TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty QuantificationZhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di. 323-339 [doi]
- STGEN: Deep Continuous-Time Spatiotemporal Graph GenerationChen Ling, Hengning Cao, Liang Zhao 0002. 340-356 [doi]
- Direct Evolutionary Optimization of Variational Autoencoders with Binary LatentsJakob Drefs, Enrico Guiraud, Filippos Panagiotou, Jörg Lücke. 357-372 [doi]
- Scalable Adversarial Online Continual LearningTanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass. 373-389 [doi]
- Fine-Grained Bidirectional Attention-Based Generative Networks for Image-Text MatchingZhixin Li, Jianwei Zhu, Jiahui Wei, Yufei Zeng. 390-406 [doi]
- Learnable Masked Tokens for Improved Transferability of Self-supervised Vision TransformersHao Hu, Federico Baldassarre, Hossein Azizpour. 409-426 [doi]
- Rethinking the Misalignment Problem in Dense Object DetectionYang Yang 0087, Min Li, Bo Meng, Zihao Huang, Junxing Ren, Degang Sun. 427-442 [doi]
- No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small ObjectsRaja Sunkara, Tie Luo. 443-459 [doi]
- SAViR-T: Spatially Attentive Visual Reasoning with TransformersPritish Sahu, Kalliopi Basioti, Vladimir Pavlovic 0001. 460-476 [doi]
- A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi. 477-492 [doi]
- Submodular Meta Data Compiling for Meta OptimizationFengguang Su, Yu Zhu, Ou Wu, Yingjun Deng. 493-511 [doi]
- Supervised Contrastive Learning for Few-Shot Action ClassificationHongfeng Han, Nanyi Fei, Zhiwu Lu 0001, Ji-Rong Wen. 512-528 [doi]
- A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection Using Compounded CorruptionsRamya Hebbalaguppe, Soumya Suvra Ghosal, Jatin Prakash, Harshad Khadilkar, Chetan Arora 0001. 529-545 [doi]
- Charge Own Job: Saliency Map and Visual Word Encoder for Image-Level Semantic SegmentationYuhui Guo, Xun Liang 0001, Hui Tang, Xiangping Zheng, Bo Wu, Xuan Zhang. 546-561 [doi]
- Understanding Adversarial Robustness of Vision Transformers via Cauchy ProblemZheng Wang, Wenjie Ruan. 562-577 [doi]
- Automatic Feature Engineering Through Monte Carlo Tree SearchYiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl. 581-598 [doi]
- MRF-UNets: Searching UNet with Markov Random FieldsZifu Wang, Matthew B. Blaschko. 599-614 [doi]
- Adversarial Projections to Tackle Support-Query Shifts in Few-Shot Meta-LearningAroof Aimen, Bharat Ladrecha, Narayanan C. Krishnan. 615-630 [doi]
- Discovering Wiring Patterns Influencing Neural Network PerformanceAleksandra Nowak 0001, Romuald A. Janik. 631-646 [doi]
- Context Abstraction to Improve Decentralized Machine Learning in Structured Sensing EnvironmentsMassinissa Hamidi, Aomar Osmani. 647-663 [doi]
- Efficient Automated Deep Learning for Time Series ForecastingDifan Deng, Florian Karl, Frank Hutter, Bernd Bischl, Marius Lindauer. 664-680 [doi]