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ORCID15th ACML 2023: Istanbul, Turkey
- Berrin Yanikoglu, Wray L. Buntine:
Asian Conference on Machine Learning, ACML 2023, 11-14 November 2023, Istanbul, Turkey. Proceedings of Machine Learning Research 222, PMLR 2023 - Preface. i-ii
- Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou:
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. 1-14 - Ameen Ali, Lior Wolf, Hakan Cevikalp:
Degree-based stratification of nodes in Graph Neural Networks. 15-27 - Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu:
Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory. 28-43 - R. N. Anjani, C. H. Sarvani, K. Kalyan Deep, P. Aravinda Kumar, Sitiraju Srinivasa Rao:
Ted: Tree delineation with reduced dimensions using entropy and deep learning. 44-57 - Kai Arulkumaran, Dan Ogawa Lillrank:
A Pragmatic Look at Deep Imitation Learning. 58-73 - Dowoo Baik, Ji Won Yoon:
Equilibrium Point Learning. 74-89 - Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models. 90-105 - Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal:
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning. 106-120 - Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang:
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. 121-136 - Yanzhe Bekkemoen
, Helge Langseth:
ASAP: Attention-Based State Space Abstraction for Policy Summarization. 137-152 - Shrey Bhatt, Aishwarya Gupta, Piyush Rai:
Federated Learning with Uncertainty via Distilled Predictive Distributions. 153-168 - Dexin Bian, Xiaoru Wang, Meifang Li:
Diffusion-based Visual Representation Learning for Medical Question Answering. 169-184 - Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe:
Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way. 185-200 - Omer Veysel Cagatan, Baris Akgün:
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning. 201-216 - Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas:
Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition. 217-230 - Haotian Chen, Yijiang Chen, Xiangdong Zhou:
Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction. 231-246 - Samet Demir, Zafer Dogan:
Optimal Nonlinearities Improve Generalization Performance of Random Features. 247-262 - Zihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh, Benjamin Y. Cho, Leo Orshansky, Mattan Erez, Michael Orshansky:
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training. 263-278 - Wenmin Deng, Jing Zhang, Peng Zhang, Yitong Yao, Hui Gao, Yurui Zhang:
Hyper-Label-Graph: Modeling Branch-Level Dependencies of Labels for Hierarchical Multi-Label Text Classification. 279-294 - Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis:
Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection. 295-310 - Ruiqi Ding, Tao Li, Xiaolin Huang:
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information. 311-326 - Meng Dong:
Pedestrian Cross Forecasting with Hybrid Feature Fusion. 327-342 - Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati:
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. 343-358 - Yi Fang, Wen-Hao Zheng, Qihui Wang, Xiao-Xin Li:
Robust Image Classification via Using Multiple Diversity Losses. 359-373 - Mohamed Imed Eddine Ghebriout, Halima Bouzidi, Smaïl Niar, Hamza Ouarnoughi:
Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices. 374-389 - Ming Gu, Yan Yang, Chengcai Chen, Zhou Yu:
State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking. 390-405 - Noureddine Henka, Mohamad Assaad, Sami Tazi:
Self Weighted Multiplex Modularity Maximization for Multiview Clustering. 406-421 - Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß:
How GAN Generators can Invert Networks in Real-Time. 422-437 - Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu:
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games. 438-453 - Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu:
Outlier Robust Adversarial Training. 454-469 - Jing Huang, Ming Kong, Luyuan Chen, Tian Liang, Qiang Zhu:
Temporal RPN Learning for Weakly-Supervised Temporal Action Localization. 470-485 - Xinyuan Huang, Qianqian Ren:
Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention. 486-501 - Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. 502-517 - Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi R. Iyer:
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation. 518-533 - Chunlin Ji, Yuhao Fu, Ping He:
Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting. 534-549 - Chunlin Ji, Yuhao Fu:
Deep Kernel Regression with Finite Learnable Kernels. 550-565 - Chunlin Ji, Zhan Xiong, Meiying Zhang, Huiwen Yang, Feng Chen, Hanchun Shen:
Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning. 566-581 - Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni:
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation. 582-597 - Harika Jinka, Jyothsna Shaji, Sangeeth John, Sreeraj R. Menon, Amalu Pradeep, P. B. Jayaraj, Pournami P. N, Niyas Puzhakkal:
SART-Res-UNet: Fan Beam CT Image Reconstruction from Limited Projections using attention-enabled residual U-Net. 598-613 - Lei Ju, Zhenhua Feng, Muhammad Awais, Josef Kittler:
Ada2NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning. 614-629 - Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf:
Cross-Domain Relation Adaptation. 630-645 - Jongyeong Lee, Junya Honda, Masashi Sugiyama:
Thompson Exploration with Best Challenger Rule in Best Arm Identification. 646-661 - Seungtae Lee, Jonghwan Ko, Seokin Hong:
Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression. 662-677 - Valentin Lemaire, Youssef Achenchabe, Lucas Ody, Houssem Eddine Souid, Gianmarco Aversano, Nicolas Posocco, Sabri Skhiri:
SANGEA: Scalable and Attributed Network Generation. 678-693 - Zongyi Li, Hongbing Lyu, Jun Wang:
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. 694-706 - Yichen Li, Qi Pang, Dongwei Xiao, Zhibo Liu, Shuai Wang:
Detecting and Repairing Deviated Outputs of Compressed Models. 707-722 - Wang Li, En Zhu, Siwei Wang, Xifeng Guo:
Attributed Graph Subspace Clustering with Graph-Boosting. 723-738 - Hongxi Li, Zuxuan Zhang, Dengzhe Liang, Yuncheng Jiang:
K-Truss Based Temporal Graph Convolutional Network for Dynamic Graphs. 739-754 - Tianyang Li, Jinxu Bai, Qingzhu Wang, Hanwen Xu:
Efficient Medical Images Text Detection with Vision-Language Pre-training Approach. 755-770 - Zixuan Liang, Yanan Sun:
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting. 771-786 - Mingshi Liu, Xiaoru Wang, Zhihong Yu, Fu Li:
Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation. 787-802 - Xinchen Liu, Hongbo Wang, Yingjian Tian, Linyao Xie:
Overcoming catastrophic forgetting with classifier expander. 803-817 - Xin Liu, Jie Tan, Xiaoguang Ren, Weiya Ren, Huadong Dai:
KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking. 818-833 - Guang Luo, Jianping Luo:
Multi-objective Adaptive Dynamics Attention Model to Solve Multi-objective Vehicle Routing Problem. 834-849 - Siyuan Ma, Fan Zhang, Wanli Hou, Yarui Li, Wei Song:
TFAN: Temporal-Feature correlations Attention-based Network for Urban Air Quality Prediction using Data Fusion technology. 850-865 - Philipp Mascha:
VMLC: Statistical Process Control for Image Classification in Manufacturing. 866-881 - Kengo Matsumoto, Tomoya Matsuda, Atsuki Inoue, Hiroshi Kawaguchi, Yasufumi Sakai:
A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers. 882-894 - Tatsuya Matsuoka, Shinji Ito:
Maximization of Minimum Weighted Hamming Distance between Set Pairs. 895-910 - Thomas Mulc, Debidatta Dwibedi:
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue. 911-926 - Shuya Nagayasu, Sumio Watanabe:
Free Energy of Bayesian Convolutional Neural Network with Skip Connection. 927-942 - Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta:
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. 943-958 - Thai-Hung Nguyen, Hong-Phuc Vu, Thuy Dung Nguyen, Tuan Minh Nguyen, Khoa D. Doan, Kok-Seng Wong:
Empirical Study of Federated Unlearning: Efficiency and Effectiveness. 959-974 - Jinlai Ning, Michael W. Spratling:
The Importance of Anti-Aliasing in Tiny Object Detection. 975-990 - Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami:
Transformed Gaussian Processes for Characterizing a Model's Discrepancy. 991-1006 - Yuhei Nomura, Hirotaka Hachiya:
Frequency-dependent Image Reconstruction Error for Micro Defect Detection. 1007-1022 - Fedor Noskov, Alexander Fishkov, Maxim Panov:
Selective Nonparametric Regression via Testing. 1023-1038 - Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta:
Domain Generalization with Interpolation Robustness. 1039-1054 - Qiao Pan, Bin Yang, Dehua Chen, Mei Wang:
Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction: A Novel Method. 1055-1070 - Dingjie Peng, Wataru Kameyama:
Simple and Efficient Vision Backbone Adapter for Image Semantic Segmentation. 1071-1086 - Konstantinos Pitas, Julyan Arbel:
The Fine Print on Tempered Posteriors. 1087-1102 - Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam M. Barnaghi:
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks. 1103-1118 - Shuo Qin, Feng Lin, Lingxiao Xu, Bowen Deng, Siwen Li, Fancheng Yang:
Multi-behavior Session-based Recommendation via Graph Reinforcement Learning. 1119-1134 - Ryan Rad:
Remote Wildfire Detection using Multispectral Satellite Imagery and Vision Transformers. 1135-1150 - Andreas Roth, Thomas Liebig:
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks. 1151-1166 - Hassan Saber, Fabien Pesquerel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi:
Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits. 1167-1182 - Gregory Scafarto, Madalina Ciortan, Simon Tihon, Quentin Ferre:
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings. 1183-1198 - Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao:
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. 1199-1214 - Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon:
Edit-A-Video: Single Video Editing with Object-Aware Consistency. 1215-1230 - Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki:
Advancing Deep Metric Learning With Adversarial Robustness. 1231-1246 - Yuhang Song, Anh Nguyen, Chun-Yi Lee:
Learning to Terminate in Object Navigation. 1247-1262 - P. Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad:
Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer. 1263-1275 - Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu:
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. 1276-1291 - Yuyang Sun, Panagiotis Kosmas:
Meta-forests: Domain generalization on random forests with meta-learning. 1292-1307 - Jiangfeng Sun, Xinyue Lin, Fangyu Hao, Meina Song:
Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature. 1308-1320 - Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov:
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. 1321-1336 - Ming Tan, Liang Chen, Xuan Wu, Yi Wu:
Single Image Super-resolution Based On Non-subsampled Shearlet Transform. 1337-1352 - Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu:
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. 1353-1368 - Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh:
Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures. 1369-1384 - Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao:
Towards Better Explanations for Object Detection. 1385-1400 - Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang:
Graph Structure Learning via Lottery Hypothesis at Scale. 1401-1416 - Baowei Wang, Ziwei Song, Yufeng Wu:
Robust Blind Watermarking Framework for Hybrid Networks Combining CNN and Transformer. 1417-1432 - Mengxue Wang, Yue Zhang, Xiaodong Zhang, Run Min:
A Simple and General Binarization Method for Image Restoration Neural Networks. 1433-1448 - Qingya Wang, Feng Liu, Bin Luo:
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification. 1449-1462 - Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Fränzle:
Estimation of Counterfactual Interventions under Uncertainties. 1463-1478 - Dongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi:
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis. 1479-1493 - Guoqiang Wu, Jun Zhu:
Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? 1494-1509 - Shin'ya Yamaguchi:
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples. 1510-1525 - Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv:
GWQ: Group-Wise Quantization Framework for Neural Networks. 1526-1541 - Muwu Yao, Shuang She, Jinrong Li, Jianmin Lin, Ming Yang, Hongxing Peng:
Long-Range Graph U-Nets: Node and Edge Clustering Pooling Model For Stroke Classification in Online Handwritten Documents. 1542-1557 - Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang:
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency. 1558-1573 - Mina Yazdani, Hamed Karimi, Reza Samavi:
DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks. 1574-1589 - Zikang Yu, Hongbin Dong, Tianyu Guo, Bingxu Zhao:
A Multi-Surrogate Assisted Salp Swarm Feature Selection Algorithm with Multi-Population Adaptive Generation Strategy for Classification. 1590-1605 - Zhonghua Zhai:
Cell Variational Information Bottleneck Network. 1606-1621 - Chunhui Zhang, Rui Miao:
Graph Contrastive Learning with Group Whitening. 1622-1637 - Zhenkai Zhang, Krista A. Ehinger, Tom Drummond:
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise. 1638-1653 - Jiahan Zhang, Dayong Tian, Tianyang Wu, Yiqin Cao, Yaoqi Du, Yiwen Wei:
Self-supervised Example Difficulty Balancing for Local Descriptor Learning. 1654-1669 - Guoxing Zhang, Qiuping Li, Yiming Liu, Zhanpeng Wang, Yuanqi Chen, Wenrui Cai, Weiye Zhang, Bingting Guo, Zhi Zeng, Jiasong Zhu:
Deep Traffic Benchmark: Aerial Perception and Driven Behavior Dataset. 1670-1682 - Acong Zhang, Ping Li:
Unleashing the Power of High-pass Filtering in Continuous Graph Neural Networks. 1683-1698 - Yiren Zhao, Oluwatomisin Dada, Robert D. Mullins, Xitong Gao:
Revisiting Structured Dropout. 1699-1714 - Limin Zheng, Hongyu Chen, Lu Qing, Jian Zhuang, Bo Meng, Xiaowei Xu:
Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy. 1715-1730 - Yuxi Zheng, Yongjun Zhang, Chenran Zhao, Huanhuan Yang, Tongyue Li, Qianying Ouyang, Ying Chen:
Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning. 1731-1746 - Han Zhou, Xingchen Ma, Matthew B. Blaschko:
A Corrected Expected Improvement Acquisition Function Under Noisy Observations. 1747-1762 - Zonghuang Zhuang, Yue Zhou:
FasterVoxelPose+: Fast and Accurate Voxel-based 3D Human Pose Estimation by Depth-wise Projection Decay. 1763-1778
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