ACML

Publications

2023

Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang
Graph Structure Learning via Lottery Hypothesis at Scale. ACML (2023)
Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Fränzle
Estimation of Counterfactual Interventions under Uncertainties. ACML (2023)
Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency. ACML (2023)
Haotian Chen, Yijiang Chen, Xiangdong Zhou
Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction. ACML (2023)
Qingya Wang, Feng Liu, Bin Luo
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification. ACML (2023)
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. ACML (2023)
Ryan Rad
Remote Wildfire Detection using Multispectral Satellite Imagery and Vision Transformers. ACML (2023)
Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. ACML (2023)
Jiangfeng Sun, Xinyue Lin, Fangyu Hao, Meina Song
Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature. ACML (2023)
Qiao Pan, Bin Yang, Dehua Chen, Mei Wang
Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction: A Novel Method. ACML (2023)
Han Zhou, Xingchen Ma, Matthew B. Blaschko
A Corrected Expected Improvement Acquisition Function Under Noisy Observations. ACML (2023)
Ming Tan, Liang Chen, Xuan Wu, Yi Wu
Single Image Super-resolution Based On Non-subsampled Shearlet Transform. ACML (2023)
Thomas Mulc, Debidatta Dwibedi
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue. ACML (2023)
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. ACML (2023)
Jongyeong Lee, Junya Honda, Masashi Sugiyama
Thompson Exploration with Best Challenger Rule in Best Arm Identification. ACML (2023)
Yuhei Nomura, Hirotaka Hachiya
Frequency-dependent Image Reconstruction Error for Micro Defect Detection. ACML (2023)
Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. ACML (2023)
Wang Li, En Zhu, Siwei Wang, Xifeng Guo
Attributed Graph Subspace Clustering with Graph-Boosting. ACML (2023)
Zongyi Li, Hongbing Lyu, Jun Wang
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. ACML (2023)
Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam M. Barnaghi
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks. ACML (2023)
Zhenkai Zhang, Krista A. Ehinger, Tom Drummond
Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise. ACML (2023)
Shuo Qin, Feng Lin, Lingxiao Xu, Bowen Deng, Siwen Li, Fancheng Yang
Multi-behavior Session-based Recommendation via Graph Reinforcement Learning. ACML (2023)
Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis
Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection. ACML (2023)
Preface. ACML (2023)
Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu
Outlier Robust Adversarial Training. ACML (2023)
Jing Huang, Ming Kong, Luyuan Chen, Tian Liang, Qiang Zhu
Temporal RPN Learning for Weakly-Supervised Temporal Action Localization. ACML (2023)
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
Edit-A-Video: Single Video Editing with Object-Aware Consistency. ACML (2023)
Zonghuang Zhuang, Yue Zhou
FasterVoxelPose+: Fast and Accurate Voxel-based 3D Human Pose Estimation by Depth-wise Projection Decay. ACML (2023)
Yiren Zhao, Oluwatomisin Dada, Robert D. Mullins, Xitong Gao
Revisiting Structured Dropout. ACML (2023)
Shrey Bhatt, Aishwarya Gupta, Piyush Rai
Federated Learning with Uncertainty via Distilled Predictive Distributions. ACML (2023)
Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv
GWQ: Group-Wise Quantization Framework for Neural Networks. ACML (2023)
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß
How GAN Generators can Invert Networks in Real-Time. ACML (2023)
Mengxue Wang, Yue Zhang, Xiaodong Zhang, Run Min
A Simple and General Binarization Method for Image Restoration Neural Networks. ACML (2023)
Zixuan Liang, Yanan Sun
Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting. ACML (2023)
Tianyang Li, Jinxu Bai, Qingzhu Wang, Hanwen Xu
Efficient Medical Images Text Detection with Vision-Language Pre-training Approach. ACML (2023)
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. ACML (2023)
Ameen Ali, Lior Wolf, Hakan Cevikalp
Degree-based stratification of nodes in Graph Neural Networks. ACML (2023)
Philipp Mascha
VMLC: Statistical Process Control for Image Classification in Manufacturing. ACML (2023)
Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf
Cross-Domain Relation Adaptation. ACML (2023)
Samet Demir, Zafer Dogan
Optimal Nonlinearities Improve Generalization Performance of Random Features. ACML (2023)
Dongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi
A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis. ACML (2023)
Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu
Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory. ACML (2023)
Seungtae Lee, Jonghwan Ko, Seokin Hong
Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression. ACML (2023)
Guang Luo, Jianping Luo
Multi-objective Adaptive Dynamics Attention Model to Solve Multi-objective Vehicle Routing Problem. ACML (2023)
Mingshi Liu, Xiaoru Wang, Zhihong Yu, Fu Li
Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation. ACML (2023)
Omer Veysel Cagatan, Baris Akgün
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning. ACML (2023)
Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe
Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way. ACML (2023)
Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation. ACML (2023)
Valentin Lemaire, Youssef Achenchabe, Lucas Ody, Houssem Eddine Souid, Gianmarco Aversano, Nicolas Posocco, Sabri Skhiri
SANGEA: Scalable and Attributed Network Generation. ACML (2023)

volume 222, 2023

Asian Conference on Machine Learning, ACML 2023, 11-14 November 2023, Istanbul, Turkey. ACML 222 (2023)