ACML 2023

113 papers

A Corrected Expected Improvement Acquisition Function Under Noisy Observations Han Zhou, Xingchen Ma, Matthew B Blaschko

A Mixed-Precision Quantization Method Without Accuracy Degradation Using Semilayers Kengo Matsumoto, Tomoya Matsuda, Atsuki Inoue, Hiroshi Kawaguchi, Yasufumi Sakai

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

A New Perspective on the Expressive Equivalence Between Graph Convolution and Attention Models Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Gao Junbin

A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis Dongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi

A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification Qingya Wang, Feng Liu, Bin Luo

A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran, Dan Ogawa Lillrank

A Simple and General Binarization Method for Image Restoration Neural Networks Mengxue Wang, Yue Zhang, Xiaodong Zhang, Run Min

Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta

Ada$^2$NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning Lei Ju, Zhanhua Feng, Muhammad Awais, Josef Kittler

Adaptive Riemannian Stochastic Gradient Descent and Reparameterization for Gaussian Mixture Model Fitting Chunlin Ji, Yuhao Fu, Ping He

Advancing Deep Metric Learning with Adversarial Robustness Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki

ASAP: Attention-Based State Space Abstraction for Policy Summarization Yanzhe Bekkemoen, Helge Langseth

Attributed Graph Subspace Clustering with Graph-Boosting Wang Li, En Zhu, Siwei Wang, Xifeng Guo

Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings Gregory Scafarto, Madalina Ciortan, Simon Tihon, Quentin Ferre

Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy Limin Zheng, Hongyu Chen, Lu Qing, Jian Zhuang, Bo Meng, Xiaowei Xu

BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning Omer Veysel Cagatan, Baris Akgun

Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information Ruiqi Ding, Tao Li, Xiaolin Huang

Can Infinitely Wide Deep Nets Help Small-Data Multi-Label Learning? Guoqiang Wu, Jun Zhu

Cell Variational Information Bottleneck Network Zhonghua Zhai

Cross-Domain Relation Adaptation Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf

Decouple Then Combine: A Simple and Effective Framework for Fraud Transaction Detection Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu

Deep Kernel Regression with Finite Learnable Kernels Chunlin Ji, Yuhao Fu

Deep Reinforcement Learning for Two-Sided Online Bipartite Matching in Collaborative Order Picking Luca Begnardi, Hendrik Baier, Willem Jaarsveld, Yingqian Zhang

Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati

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

Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas

Degree-Based Stratification of Nodes in Graph Neural Networks Ameen Ali, Lior Wolf, Hakan Cevikalp

DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks Mina Yazdani, Hamed Karimi, Reza Samavi

Detecting and Repairing Deviated Outputs of Compressed Models Yichen Li, Qi Pang, Dongwei Xiao, Zhibo Liu, Shuai Wang

Diffusion-Based Visual Representation Learning for Medical Question Answering Dexin Bian, Xiaoru Wang, Meifang Li

Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks Andreas Roth, Thomas Liebig

Domain Generalization with Interpolation Robustness Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta

Dynamic Offset Metric on Heterogeneous Information Networks for Cold-Start Recommendation Mingshi Liu, Xiaoru Wang, Zhihong Yu, Fu Li

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

Edit-a-Video: Single Video Editing with Object-Aware Consistency Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon

Efficient Medical Images Text Detection with Vision-Language Pre-Training Approach Tianyang Li, Jinxu Bai, Qingzhu Wang, Hanwen Xu

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

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

Enhancing Model Generalization of Cervical Fluid-Based Cell Detection Through Causal Feature Extraction:A Novel Method Qiao Pan, Bin Yang, Dehua Chen, Mei Wang

Equilibrium Point Learning Dowoo Baik, Ji Won Yoon

Estimation of Counterfactual Interventions Under Uncertainties Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Fraenzle

Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting Zixuan Liang, Yanan Sun

Facto-CNN: Memory-Efficient CNN Training with Low-Rank Tensor Factorization and Lossy Tensor Compression Seungtae Lee, Jonghwan Ko, Seokin Hong

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

FasterVoxelPose+: Fast and Accurate Voxel-Based 3D Human Pose Estimation by Depth-Wise Projection Decay Zonghuang Zhuang, Yue Zhou

Federated Learning with Uncertainty via Distilled Predictive Distributions Shrey Bhatt, Aishwarya Gupta, Piyush Rai

Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam Barnaghi

Free Energy of Bayesian Convolutional Neural Network with Skip Connection Shuya Nagayasu, Sumio Watanabe

Frequency-Dependent Image Reconstruction Error for Micro Defect Detection Yuhei Nomura, Hirotaka Hachiya

FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation Zongyi Li, Hongbing Lyu, Jun Wang

Generative Semi-Supervised Learning with Meta-Optimized Synthetic Samples Shin’ya Yamaguchi

Graph Contrastive Learning with Group Whitening Chunhui Zhang, Rui Miao

Graph Structure Learning via Lottery Hypothesis at Scale Wang Yuxin, Hu Xiannian, Xie Jiaqing, Yin Zhangyue, Zhou Yunhua, Qiu Xipeng, Huang Xuanjing

GWQ: Group-Wise Quantization Framework for Neural Networks Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv

Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-Constrained Devices Mohamed Imed Eddine Ghebriout, Halima Bouzidi, Smail Niar, Hamza Ouarnoughi

How GAN Generators Can Invert Networks in Real-Time Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le’Clerc Arrastia, Peter Maaß

Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature Jiangfeng Sun, Xinyue Lin, Fangyu Hao, Meina Song

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

Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise Zhenkai Zhang, Krista A. Ehinger, Tom Drummond

Intractability of Learning the Discrete Logarithm with Gradient-Based Methods Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov

K-Truss Based Temporal Graph Convolutional Network for Dynamic Graphs Hongxi Li, Zuxuan Zhang, Dengzhe Liang, Yuncheng Jiang

KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking Xin Liu, Jie Tan, Xiaoguang Ren, Weiya Ren, Huadong Dai

Learning to Terminate in Object Navigation Yuhang Song, Anh Nguyen, Chun-Yi Lee

Logarithmic Regret in Communicating MDPs: Leveraging Known Dynamics with Bandits Hassan Saber, Fabien Pesquerel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi

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

Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe

Maximization of Minimum Weighted Hamming Distance Between Set Pairs Tatsuya Matsuoka, Shinji Ito

Mem-Rec: Memory Efficient Recommendation System Using Alternative Representation Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi Iyer

Meta-Forests: Domain Generalization on Random Forests with Meta-Learning Yuyang Sun, Panagiotis Kosmas

Mitigating Bias: Enhancing Image Classification by Improving Model Explanations Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooie, Mohammad Sabokrou

Multi-Behavior Session-Based Recommendation via Graph Reinforcement Learning Shuo Qin, Feng Lin, Lingxiao Xu, Bowen Deng, Siwen Li, Fangcheng Yang

Multi-Objective Adaptive Dynamics Attention Model to Solve Multi-Objective Vehicle Routing Problem Guang Luo, Jianping Luo

Optimal Nonlinearities Improve Generalization Performance of Random Features Samet Demir, Zafer Doğan

Outlier Robust Adversarial Training Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu

Overcoming Catastrophic Forgetting with Classifier Expander Xinchen Liu, Hongbo Wang, Yingjian Tian, Linyao Xie

Patch-Level Neighborhood Interpolation: A General and Effective Graph-Based Regularization Strategy Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu

Pedestrian Cross Forecasting with Hybrid Feature Fusion Meng Dong

Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention Xinyuan Huang, Qianqian Ren

ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal

Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning Chunlin Ji, Zhan Xiong, Meiying Zhang, Huiwen Yang, Feng Chen, Hanchun Shen

Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni

Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue Thomas Mulc, Debidatta Dwibedi

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takáč

Remote Wildfire Detection Using Multispectral Satellite Imagery and Vision Transformers Ryan Rad

Revisiting Structured Dropout Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao

Robust Blind Watermarking Framework for Hybrid Networks Combining CNN and Transformer Baowei Wang, Ziwei Song, Yufeng Wu

Robust Image Classification via Using Multiple Diversity Losses Yi Fang, Wen-Hao Zheng, Qihui Wang, Xiao-Xin Li

SANGEA: Scalable and Attributed Network Generation Valentin Lemaire, Youssef Achenchabe, Lucas Ody, Houssem Eddine Souid, Gianmarco Aversano, Nicolas Posocco, Sabri Skhiri

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, P B Jayaraj, P N Pournami, Niyas Puzhakkal

Selective Nonparametric Regression via Testing Fedor Noskov, Alexander Fishkov, Maxim Panov

Self Weighted Multiplex Modularity Maximization for Multiview Clustering Noureddine Henka, Mohamad Assaad, Sami Tazi

Self-Supervised Example Difficulty Balancing for Local Descriptor Learning Jiahan Zhang, Dayong Tian, Tianyang Wu, Yiqing Cao, Yaoqi Du, Yiwen Wei

Show Me How It’s Done: The Role of Explanations in Fine-Tuning Language Models Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger

Simple and Efficient Vision Backbone Adapter for Image Semantic Segmentation Dingjie Peng, Wataru Kameyama

Single Image Super-Resolution Based on Non-Subsampled Shearlet Transform Ming Tan, Liang Chen, Xuan Wu, Yi Wu

State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking Ming Gu, Yan Yang, Chengcai Chen, Zhou Yu

Ted: Tree Delineation with Reduced Dimensions Using Entropy and Deep Learning Rn Anjani, Ch Sarvani, K Kalyan Deep, P Aravinda Kumar, Sitiraju Srinivasa Rao

Temporal RPN Learning for Weakly-Supervised Temporal Action Localization Jing Huang, Ming Kong, Luyuan Chen, Tian Liang, Qiang Zhu

Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection Stefan Denkovski, Shehroz S Khan, Alex Mihailidis

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

The Fine Print on Tempered Posteriors Konstantinos Pitas, Julyan Arbel

The Importance of Anti-Aliasing in Tiny Object Detection Jinlai Ning, Michael Spratling

Thompson Exploration with Best Challenger Rule in Best Arm Identification Jongyeong Lee, Junya Honda, Masashi Sugiyama

Towards Better Explanations for Object Detection Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao

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 Lou, Feng-Jian Wang, I-Chen Wu

Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang

Transformed Gaussian Processes for Characterizing a Model’s Discrepancy Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami

Understanding More Knowledge Makes the Transformer Perform Better in Document-Level Relation Extraction Chen Haotian, Chen Yijiang, Zhou Xiangdong

Unleashing the Power of High-Pass Filtering in Continuous Graph Neural Networks Acong Zhang, Ping Li

Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer P Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad

Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu

VMLC: Statistical Process Control for Image Classification in Manufacturing Philipp Mascha