Accepted Papers
In ACML 2023, each accepted paper will have an oral presentation and a poster presentation. For oral presentations, short talks are scheduled to take place on November 12, and long talks are scheduled to take place on November 13 and November 14. For poster presentations, please note that the poster boards are in portrait orientation with standard A0 paper size (A0 is 84.1(w) x 118.9(h) cm or 33.1(w) x 46.8(h) inches). Poster presentations are scheduled to take place on November 12.
We are pleased to announce the accepted papers at ACML 2023 as follows:
Accepted Journal Track Papers
- A Neural Meta-Model for Predicting Winter Wheat Crop Yield
Yogesh Bansal, David Lillis, M-Tahar Kechadi
Oral presentation session #13: Monday 11:30 - 11:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Applied Machine Learning to the Determination of Biochar Hydrogen Sulfide Adsorption Capacity
Abolhassan Banisheikholeslami, Farhad Qaderi
Oral presentation session #02: Sunday 09:40 - 09:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Bayesian Tensor Factorisations for Time Series of Counts
Zhongzhen Wang, Petros Dellaportas, Ioannis Kosmidis
Oral presentation session #09: Sunday 16:20 - 16:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Better Schedules for Low Precision Training of Deep Neural Networks
Cameron Wolfe, Anastasios Kyrillidis
Oral presentation session #16: Tuesday 09:45 - 10:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Chinese Character Recognition with Radical-Structured Stroke Trees
Haiyang Yu, Jingye Chen, Bin Li, Xiangyang Xue
Oral presentation session #04: Sunday 10:30 - 10:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Communication-Efficient Clustered Federated Learning via Model Distance
Mao Zhang, Tie Zhang, Yifei Cheng, Linli Xu
Oral presentation session #09: Sunday 15:20 - 15:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Compositional Scene Modeling with Global Object-Centric Representations
Tonglin Chen, Zhimeng Shen, Bin Li, Xiangyang Xue
Oral presentation session #01: Sunday 09:20 - 09:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Explaining Neural Networks without Access to Training Data
Sascha Marton, Stefan Lüdtke, Christian Bartelt, Andrej Tschalzev, Heiner Stuckenschmidt
Oral presentation session #18: Tuesday 14:00 - 14:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Exploiting Counter-Examples for Active Learning with Partial-labels
Fei Zhang, Junjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han
Oral presentation session #16: Tuesday 09:00 - 09:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Generation, Augmentation, and Alignment: A Pseudo-Source Domain Based Method for Source-Free Domain Adaptation
Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Chongjun Wang
Oral presentation session #09: Sunday 15:10 - 15:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Hierarchical U-Net with Re-Parameterization Technique for Spatio-Temporal Weather Forecasting
Baowen Xu
Oral presentation session #13: Monday 11:45 - 12:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Hybrid Acceleration Techniques for the Physics-Informed Neural Networks: A Comparative Analysis
Fedor Buzaev, Jiexing Gao
Oral presentation session #14: Monday 15:15 - 15:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Knowledge-Aware Image Understanding with Multi-Level Visual Representation Enhancement for Visual Question Answering
Feng Yan, Zhe Li, 吾守尔 斯拉木, Yanbin Li
Oral presentation session #01: Sunday 09:10 - 09:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Learning De-Biased Regression Trees and Forests from Complex Samples
Malte Nalenz, Julian Rodemann, Thomas Augustin
Oral presentation session #14: Monday 15:00 - 15:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Learning Sample-Aware Confidence Threshold for Semi-Supervised Learning
Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin
Oral presentation session #06: Sunday 10:30 - 10:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Margin Distribution and Structural Diversity Guided Ensemble Pruning
Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou
Oral presentation session #03: Sunday 08:30 - 08:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Multi-Label Image Classification with Multi-Layered Multi-Perspective Dynamic Semantic Representation
Wenlan Kuang, Zhixin Li
Oral presentation session #12: Monday 09:00 - 09:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Neural Network Structure Simplification by Assessing Evolution in Node Weight Magnitude
Ralf Peter Riedel, Aviv Segev
Oral presentation session #16: Tuesday 08:30 - 08:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - NRAT: Towards Adversarial Training with Inherent Label Noise
Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Wenjie Ruan, Xiaowei Huang
Oral presentation session #18: Tuesday 15:30 - 15:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Online Binary Classification from Similar and Dissimilar Data
Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
Oral presentation session #09: Sunday 15:00 - 15:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Reduced Implication-Bias Logic Loss for Neuro-Symbolic Learning
Hao-Yuan He, Wang-Zhou Dai, Ming Li
Oral presentation session #03: Sunday 08:50 - 09:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Sanitized Clustering Against Confounding Bias
Yinghua Yao, Yuangang Pan, Jing Li, Ivor Tsang, Xin Yao
Oral presentation session #03: Sunday 08:40 - 08:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Scalable Variable Selection for Two-View Learning Tasks with Projection Operators
Sandor Szedmak, Riikka Huusari, Tat Hong Duong Le, Juho Rousu
Oral presentation session #13: Monday 11:15 - 11:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Structural Causal Models Reveal Confounder Bias in Linear Program Modelling
Matej Zecevic, Devendra S Dhami, Kristian Kersting
Oral presentation session #14: Monday 14:15 - 14:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Style Spectroscope: Improve Interpretability and Controllability Through Fourier Analysis
Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue
Oral presentation session #18: Tuesday 15:00 - 15:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Task-Decoupled Interactive Embedding Network for Object Detection
Mai Liu, Jichao Jiao, Min Pang, Ning Li
Oral presentation session #12: Monday 08:30 - 08:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Tracking Treatment Effect Heterogeneity in Evolving Environments
Tian Qin, Long-Fei Li, Tian-Zuo Wang, Zhi-Hua Zhou
Oral presentation session #16: Tuesday 09:15 - 09:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Understanding Imbalanced Data: XAI & Interpretable ML Framework
Damien Dablain, Nitesh Chawla, Colin Bellinger, Bartosz Krawczyk, David Aha
Oral presentation session #11: Sunday 18:20 - 18:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30
Accepted Conference Track Papers
- A Corrected Expected Improvement Acquisition Function Under Noisy Observations
Han Zhou, Xingchen Ma, Matthew B. Blaschko
Oral presentation session #17: Tuesday 11:15 - 11:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers
Kengo Matsumoto, Tomoya Matsuda, Atsuki Inoue, Hiroshi Kawaguchi, Yasufumi Sakai
Oral presentation session #16: Tuesday 09:30 - 09:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - A Multi-Surrogate Assisted Salp Swarm Feature Selection Algorithm with Multi-Population Adaptive Generation Strategy for Classification
Zikang Yu, Hongbin Dong, Tianyu Guo, Bingxu Zhao
Oral presentation session #09: Sunday 16:10 - 16:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - A New Perspective on the Expressive Equivalence Between Graph Convolution and Attention Models
Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao
Oral presentation session #10: Sunday 17:00 - 17:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis
Dongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi
Oral presentation session #13: Monday 10:45 - 11:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification
Qingya Wang, Feng Liu, Bin Luo
Oral presentation session #11: Sunday 17:40 - 17:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - A Pragmatic Look at Deep Imitation Learning
Kai Arulkumaran, Dan Ogawa Lillrank
Oral presentation session #03: Sunday 09:20 - 09:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - A Simple and General Binarization Method for Image Restoration Neural Networks
Mengxue Wang, Yue Zhang, Xiaodong Zhang, Run Min
Oral presentation session #01: Sunday 09:30 - 09:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta
Oral presentation session #03: Sunday 09:40 - 09:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Ada2NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning
Lei Ju, Zhenhua Feng, Muhammad Awais, Josef Kittler
Oral presentation session #07: Sunday 15:40 - 15:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Adaptive Riemannian Stochastic Gradient Descent and Reparameterization for Gaussian Mixture Model Fitting
Chunlin Ji, Yuhao Fu, Ping He
Oral presentation session #11: Sunday 18:30 - 18:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Advancing Deep Metric Learning With Adversarial Robustness
Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki
Oral presentation session #18: Tuesday 14:30 - 14:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - An Empirical Study of Federated Unlearning: Efficiency and Effectiveness
Thai-Hung Nguyen, Hong-Phuc Vu, Dung Thuy Nguyen, Tuan Minh Nguyen, Khoa D Doan, Kok-Seng Wong
Oral presentation session #08: Sunday 16:20 - 16:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - ASAP: Attention-Based State Space Abstraction for Policy Summarization
Yanzhe Bekkemoen, Helge Langseth
Oral presentation session #08: Sunday 15:30 - 15:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Attributed Graph Subspace Clustering with Graph-Boosting
Wang Li, En Zhu, Siwei Wang, Xifeng Guo
Oral presentation session #15: Monday 17:15 - 17:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings
Gregory Scafarto, Madalina Ciortan, Simon Tihon, Quentin Ferre
Oral presentation session #08: Sunday 15:00 - 15:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Automatic Segmentation of Aortic and Mitral Valves for Heart Surgery Planning of Hypertrophic Obstructive Cardiomyopathy
Limin Zheng, Bo Meng, Hongyu Cheng, Yiyu Shi, Qing Lu, Jian Zhuang, Xiaowei Xu
Oral presentation session #07: Sunday 15:20 - 15:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - BarlowRL: Barlow Twins for Data Efficient Reinforcement Learning
Ömer Veysel Çağatan, Barış Akgün
Oral presentation session #19: Tuesday 16:15 - 16:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information
Ruiqi Ding, Tao Li, Xiaolin Huang
Oral presentation session #09: Sunday 15:30 - 15:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Can Infinitely Wide Deep Nets Help Small-Data Multi-Label Learning?
Guoqiang Wu, Jun Zhu
Oral presentation session #14: Monday 14:30 - 14:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Cell Variational Information Bottleneck Network
Zhonghua Zhai
Oral presentation session #14: Monday 15:30 - 15:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Cross-Domain Relation Adaptation
Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf
Oral presentation session #15: Monday 16:30 - 16:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - DataWise: Solve partial differential equations with a probabilistic model
Sangeeta Yadav
Oral presentation session #02: Sunday 09:50 - 10:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection
Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu
Oral presentation session #14: Monday 14:45 - 15:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Deep Kernel Regression with Finite Learnable Kernels
Chunlin Ji, Yuhao Fu
Oral presentation session #17: Tuesday 11:45 - 12:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Deep Reinforcement Learning for Two-Sided Online Bipartite Matching in Collaborative Order Picking
Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang
Oral presentation session #19: Tuesday 16:45 - 17:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain
Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati
Oral presentation session #03: Sunday 09:50 - 10:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Deep Traffic Benchmark: Aerial Perception and Driven Behavior Dataset
Guoxing Zhang, Qiuping Li, Yiming Liu, Zhanpeng Wang, Yuanqi Chen, Wenrui Cai, Weiye Zhang, Bingting Guo, Zhi Zeng, Jiasong Zhu
Oral presentation session #05: Sunday 11:20 - 11:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition
Hakan Çevikalp, Hasan Serhan Yavuz, Hasan Sarıbaş
Oral presentation session #01: Sunday 09:40 - 09:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Degree-Based Stratification of Nodes in Graph Neural Networks
Ameen Ali, Lior Wolf, Hakan Çevikalp
Oral presentation session #10: Sunday 17:30 - 17:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks
Mina Yazdani, Hamed Karimi, Reza Samavi
Oral presentation session #08: Sunday 15:50 - 16:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Detecting and Repairing Deviated Outputs of Compressed Models
Yichen Li, Qi Pang, Dongwei Xiao, Zhibo Liu, Shuai Wang
Oral presentation session #08: Sunday 16:00 - 16:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Diffusion-Based Visual Representation Learning for Medical Question Answering
Dexin Bian, Xiaoru Wang, Meifang Li
Oral presentation session #06: Sunday 11:20 - 11:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks
Andreas Roth, Thomas Liebig
Oral presentation session #17: Tuesday 10:45 - 11:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Domain Generalization with Interpolation Robustness
Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta
Oral presentation session #11: Sunday 18:00 - 18:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Dynamic Offset Metric on Heterogeneous Information Networks for Cold-Start Recommendation
Mingshi Liu, Xiaoru Wang, Zhihong Yu, Fu Li
Oral presentation session #10: Sunday 17:10 - 17:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework Using Sparse Diffusion Measures
Abhishek Tiwari, Ananya Singhal, Saurabh J Shigwan, Rajeev Kumar Singh
Oral presentation session #07: Sunday 16:00 - 16:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Edit-A-Video: Single Video Editing with Object-Aware Consistency
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
Oral presentation session #12: Monday 08:45 - 09:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Efficient Medical Images Text Detection with Vision-Language Pre-training Approach
Tianyang Li, Jinxu Bai, Qingzhu Wang, Hanwen Xu
Oral presentation session #04: Sunday 10:40 - 10:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training
Zihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh, Benjamin Cho, Leo Orshansky, Mattan Erez, Michael Orshansky
Oral presentation session #02: Sunday 09:30 - 09:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Enhancing Model Generalization for Cervical Fluid-Based Cell Detection through Causal Feature Extraction: A Novel Method
Qiao Pan, Bin Yang, Dehua Chen, Mei Wang
Oral presentation session #12: Monday 09:30 - 09:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Equilibrium Point Learning
Dowoo Baik, Ji Won Yoon
Oral presentation session #09: Sunday 15:40 - 15:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Estimation of Counterfactual Interventions Under Uncertainties
Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Fraenzle
Oral presentation session #08: Sunday 16:10 - 16:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting
Zixuan Liang, Yanan Sun
Oral presentation session #11: Sunday 18:10 - 18:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression
Seungtae Lee, Jonghwan Ko, Seokin Hong
Oral presentation session #09: Sunday 15:50 - 16:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning
Yuxi Zheng, Yongjun Zhang, Chenran Zhao, Huanhuan Yang, Tongyue Li, Qianying Ouyang, Ying Chen
Oral presentation session #05: Sunday 11:00 - 11:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - FasterVoxelPose+: Fast and Accurate Voxel-Based 3D Human Pose Estimation by Depth-Wise Projection Decay
Zonghuang Zhuang, Yue Zhou
Oral presentation session #07: Sunday 15:50 - 16:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Federated Learning with Uncertainty via Distilled Predictive Distributions
Shrey Bhatt, Aishwarya Gupta, Piyush Rai
Oral presentation session #11: Sunday 17:30 - 17:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks
Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam Barnaghi
Oral presentation session #06: Sunday 11:00 - 11:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Free Energy of Bayesian Convolutional Neural Network with Skip Connection
Shuya Nagayasu, Sumio Watanabe
Oral presentation session #16: Tuesday 08:45 - 09:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Frequency-Dependent Image Reconstruction Error for Micro Defect Detection
Yuhei Nomura, Hirotaka Hachiya
Oral presentation session #02: Sunday 08:40 - 08:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation
Zongyi Li, Hongbing Lyu, Jun Wang
Oral presentation session #07: Sunday 15:00 - 15:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Generative Semi-Supervised Learning with Meta-Optimized Synthetic Samples
Shin'ya Yamaguchi
Oral presentation session #15: Monday 16:00 - 16:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Graph Contrastive Learning with Group Whitening
Chunhui Zhang, Rui Miao
Oral presentation session #17: Tuesday 11:00 - 11:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Graph Structure Learning via Lottery Hypothesis at Scale
Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
Oral presentation session #10: Sunday 17:50 - 18:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - GWQ: Group-Wise Quantization Framework for Neural Networks
Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv
Oral presentation session #01: Sunday 09:50 - 10:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-Constrained Devices
Mohamed Imed Eddine Ghebriout, Halima Bouzidi, Smail Niar, Hamza Ouarnoughi
Oral presentation session #16: Tuesday 10:00 - 10:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - How GAN Generators Can Invert Networks in Real-Time
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß
Oral presentation session #06: Sunday 10:50 - 11:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature
Jiangfeng Sun, Xinyue Lin, Fangyu Hao, Meina Song
Oral presentation session #10: Sunday 18:00 - 18:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Hyper-Label-Graph: Modeling Branch-Level Dependencies of Labels for Hierarchical Multi-Label Text Classification
Wenmin Deng, Jing Zhang, Peng Zhang, Yitong Yao, Hui Gao, Yurui Zhang
Oral presentation session #13: Monday 11:00 - 11:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise
Zhenkai Zhang, Krista A. Ehinger, Tom Drummond
Oral presentation session #06: Sunday 11:30 - 11:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Intractability of Learning the Discrete Logarithm with Gradient-Based Methods
Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov
Oral presentation session #11: Sunday 17:50 - 18:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - K-Truss Based Temporal Graph Convolutional Network for Dynamic Graphs
Hongxi Li, Zuxuan Zhang, Dengzhe Liang, Yuncheng Jiang
Oral presentation session #10: Sunday 18:10 - 18:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking
Xin Liu, Jie Tan, Xiaoguang Ren, Weiya Ren, Huadong Dai
Oral presentation session #05: Sunday 11:10 - 11:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Learning to Terminate in Object Navigation
Yuhang Song, Anh Nguyen, Chun-Yi Lee
Oral presentation session #05: Sunday 11:30 - 11:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Logarithmic Regret in Communicating MDPs: Leveraging Known Dynamics with Bandits
Hassan Saber, Fabien Pesquerel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi
Oral presentation session #19: Tuesday 17:15 - 17:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Long-Range Graph U-Nets: Node and Edge Clustering Pooling Model For Stroke Classification in Online Handwritten Documents
Muwu Yao, Shuang She, Jinrong Li, Jianmin Lin, Ming Yang, Hongxing Peng
Oral presentation session #04: Sunday 10:50 - 11:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way
Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe
Oral presentation session #05: Sunday 10:30 - 10:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Maximization of Minimum Weighted Hamming Distance between Set Pairs
Tatsuya Matsuoka, Shinji Ito
Oral presentation session #09: Sunday 16:00 - 16:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Mem-Rec: Memory Efficient Recommendation System Using Alternative Representation
Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi Iyer
Oral presentation session #02: Sunday 09:00 - 09:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Meta-Forests: Domain Generalization on Random Forest with Meta-Learning
Yuyang Sun, Panos Kosmas
Oral presentation session #07: Sunday 15:30 - 15:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Mitigating Bias: Enhancing Image Classification by Improving Model Explanations
Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou
Oral presentation session #08: Sunday 15:10 - 15:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Multi-Behavior Session-Based Recommendation via Graph Reinforcement Learning
Shuo Qin, Lin Feng, Lingxiao Xu, Bowen Deng, Siwen Li, Fancheng Yang
Oral presentation session #02: Sunday 09:10 - 09:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Multi-Objective Adaptive Dynamics Attention Model to Solve Multi-Objective Vehicle Routing Problem
Guang Luo, Jianping Luo
Oral presentation session #05: Sunday 10:50 - 11:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Optimal Nonlinearities Improve Generalization Performance of Random Features
Samet Demir, Zafer Doğan
Oral presentation session #11: Sunday 17:00 - 17:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Outlier Robust Adversarial Training
Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu
Oral presentation session #08: Sunday 15:40 - 15:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Overcoming Catastrophic Forgetting with Classifier Expander
Xinchen Liu, Hongbo Wang, Yingjian Tian, Linyao Xie
Oral presentation session #03: Sunday 09:00 - 09:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Patch-Level Neighborhood Interpolation: A General and Effective Graph-Based Regularization Strategy
Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu
Oral presentation session #15: Monday 17:00 - 17:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Pedestrian Cross Forecasting with Hybrid Feature Fusion
Meng Dong
Oral presentation session #07: Sunday 16:10 - 16:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention
Xinyuan Huang, Qianqian Ren
Oral presentation session #10: Sunday 17:20 - 17:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning
Gülçin Baykal, Halil Faruk Karagöz, Taha Binhuraib, Gözde Ünal
Oral presentation session #15: Monday 16:15 - 16:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning
Chunlin Ji, Zhan Xiong, Meiying Zhang, Huiwen Yang, Feng Chen, Hanchun Shen
Oral presentation session #11: Sunday 17:10 - 17:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation
Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni
Oral presentation session #18: Tuesday 14:15 - 14:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue
Thomas Mulc, Debidatta Dwibedi
Oral presentation session #15: Monday 16:45 - 17:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Reinforcement Learning for Solving Stochastic Vehicle Routing Problem
Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takac
Oral presentation session #05: Sunday 10:40 - 10:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Remote Wildfire Detection Using Multispectral Satellite Imagery and Vision Transformers
Ryan Rad
Oral presentation session #02: Sunday 08:50 - 09:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Revisiting Structured Dropout
Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao
Oral presentation session #03: Sunday 09:10 - 09:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Robust Blind Watermarking Framework for Hybrid Networks Combining CNN and Transformer
Baowei Wang, Ziwei Song, Yufeng Wu
Oral presentation session #12: Monday 09:45 - 10:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Robust Image Classification via Using Multiple Diversity Losses
Yi Fang, Wen-Hao Zheng, Qihui Wang, Xiao-Xin Li
Oral presentation session #01: Sunday 08:40 - 08:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - SANGEA: Scalable and Attributed Network Generation
Valentin Lemaire, Youssef Achenchabe, Lucas Ody, Houssem Eddine Souid, Gianmarco Aversano, Nicolas Posocco, Sabri Skhiri
Oral presentation session #06: Sunday 11:10 - 11:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - SART-Res-UNet: Fan Beam CT Image Reconstruction from Limited Projections Using Attention-Enabled Residual U-Net
Harika Jinka, Jyothsna Shaji, Sangeeth John, Sreeraj R Menon, Amalu Pradeep, Jayaraj P B, Pournami P N, Niyas Puzhakkal
Oral presentation session #07: Sunday 15:10 - 15:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Selective Nonparametric Regression via Testing
Fedor Noskov, Alexander Fishkov, Maxim Panov
Oral presentation session #11: Sunday 17:20 - 17:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Self Weighted Multiplex Modularity Maximization for Multiview Clustering
Noureddine Henka, Mohamad Assaad, Sami Tazi
Oral presentation session #06: Sunday 10:40 - 10:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Self-Supervised Example Difficulty Balancing for Local Descriptor Learning
Jiahan Zhang, Dayong Tian, Tianyang Wu, Yiqing Cao, Yaoqi Du, Yiwen Wei
Oral presentation session #01: Sunday 09:00 - 09:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models
Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger
Oral presentation session #04: Sunday 11:30 - 11:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Simple and Efficient Vision Backbone Adapter for Image Semantic Segmentation
Dingjie Peng, Wataru Kameyama
Oral presentation session #01: Sunday 08:30 - 08:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Single Image Super-Resolution Based on Non-Subsampled Shearlet Transform
Ming Tan, Liang Chen, Xuan Wu, Yi Wu
Oral presentation session #04: Sunday 11:20 - 11:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking
Ming Gu, Yan Yang, Chengcai Chen, Zhou Yu
Oral presentation session #13: Monday 10:30 - 10:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Ted: Tree Delineation with Reduced Dimensions Using Entropy and Deep Learning
RN Anjani, CH Sarvani, K Kalyan Deep, P Aravinda Kumar, Sitiraju Srinivasa Rao
Oral presentation session #03: Sunday 09:30 - 09:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Temporal RPN Learning Strategy for Weakly-Supervised Temporal Action Localization
Jing Huang, Ming Kong, Luyuan Chen, Tian Liang, Qiang Zhu
Oral presentation session #12: Monday 09:15 - 09:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection
Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis
Oral presentation session #07: Sunday 16:20 - 16:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - TFAN: Temporal-Feature Correlations Attention-Based Network for Urban Air Quality Prediction Using Data Fusion Technology
Siyuan Ma, Fan Zhang, Wanli Hou, Yarui Li, Wei Song
Oral presentation session #02: Sunday 09:20 - 09:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - The Fine Print on Tempered Posteriors
Konstantinos Pitas, Julyan Arbel
Oral presentation session #18: Tuesday 15:15 - 15:30 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - The Importance of Anti-Aliasing in Tiny Object Detection
Jinlai Ning, Michael Spratling
Oral presentation session #01: Sunday 08:50 - 09:00 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Thompson Exploration with Best Challenger Rule in Best Arm Identification
Jongyeong Lee, Junya Honda, Masashi Sugiyama
Oral presentation session #19: Tuesday 17:00 - 17:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Towards Better Explanations for Object Detection
Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao
Oral presentation session #18: Tuesday 14:45 - 15:00 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu
Oral presentation session #19: Tuesday 16:30 - 16:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang
Oral presentation session #14: Monday 14:00 - 14:15 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - Transformed Gaussian Processes for Characterizing a Model's Discrepancy
Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami
Oral presentation session #08: Sunday 15:20 - 15:30 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Understanding More Knowledge Makes the Transformer Perform Better in Document-Level Relation Extraction
Haotian Chen, Yijiang Chen, Xiangdong Zhou
Oral presentation session #04: Sunday 11:00 - 11:10 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Unleashing the Power of High-Pass Filtering in Continuous Graph Neural Networks
Acong Zhang, Ping Li
Oral presentation session #10: Sunday 17:40 - 17:50 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer
P Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad
Oral presentation session #02: Sunday 08:30 - 08:40 (Short talk), Poster presentation session: Sunday 18:30 - 20:30 - Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory
Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu
Oral presentation session #17: Tuesday 11:30 - 11:45 (Long talk), Poster presentation session: Sunday 18:30 - 20:30 - VMLC: Statistical Process Control for Image Classification in Manufacturing
Philipp Mascha
Oral presentation session #04: Sunday 11:10 - 11:20 (Short talk), Poster presentation session: Sunday 18:30 - 20:30