ACML 2023

114 papers

FasterVoxelPose+: Fast and Accurate Voxel-based 3D Human Pose Estimation by Depth-wise Projection Decay

Zonghuang Zhuang, Yue Zhou

A Corrected Expected Improvement Acquisition Function Under Noisy Observations

Han Zhou, Xingchen Ma, Matthew B Blaschko

Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning

Yuxi Zheng, Yongjun Zhang, Chenran Zhao, Huanhuan Yang, Tongyue Li

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

Revisiting Structured Dropout

Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao

Unleashing the Power of High-pass Filtering in Continuous Graph Neural Networks

Acong Zhang, Ping Li

Deep Traffic Benchmark: Aerial Perception and Driven Behavior Dataset

Guoxing Zhang, Qiuping Li, Yiming Liu, Zhanpeng Wang, Yuanqi Chen

Self-supervised Example Difficulty Balancing for Local Descriptor Learning

Jiahan Zhang, Dayong Tian, Tianyang Wu, Yiqing Cao, Yaoqi Du

Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise

Zhenkai Zhang, Krista A. Ehinger, Tom Drummond

Graph Contrastive Learning with Group Whitening

Chunhui Zhang, Rui Miao

Cell Variational Information Bottleneck Network

Zhonghua Zhai

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

DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks

Mina Yazdani, Hamed Karimi, Reza Samavi

Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency

Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang

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

GWQ: Group-Wise Quantization Framework for Neural Networks

Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv

Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples

Shin’ya Yamaguchi

Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning?

Guoqiang Wu, Jun Zhu

A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis

Dongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi

Estimation of Counterfactual Interventions under Uncertainties

Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Fraenzle

A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification

Qingya Wang, Feng Liu, Bin Luo

A Simple and General Binarization Method for Image Restoration Neural Networks

Mengxue Wang, Yue Zhang, Xiaodong Zhang, Run Min

Robust Blind Watermarking Framework for Hybrid Networks Combining CNN and Transformer

Baowei Wang, Ziwei Song, Yufeng Wu

Graph Structure Learning via Lottery Hypothesis at Scale

Wang Yuxin, Hu Xiannian, Xie Jiaqing, Yin Zhangyue, Zhou Yunhua

Towards Better Explanations for Object Detection

Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao

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

Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection

Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu

Single Image Super-resolution Based On Non-subsampled Shearlet Transform

Ming Tan, Liang Chen, Xuan Wu, Yi Wu

Intractability of Learning the Discrete Logarithm with Gradient-Based Methods

Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova

Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature

Jiangfeng Sun, Xinyue Lin, Fangyu Hao, Meina Song

Meta-forests: Domain generalization on random forests with meta-learning

Yuyang Sun, Panagiotis Kosmas

Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy

Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu

Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer

P Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad

Learning to Terminate in Object Navigation

Yuhang Song, Anh Nguyen, Chun-Yi Lee

Advancing Deep Metric Learning With Adversarial Robustness

Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki

Edit-A-Video: Single Video Editing with Object-Aware Consistency

Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon

A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models

Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Gao Junbin

Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings

Gregory Scafarto, Madalina Ciortan, Simon Tihon, Quentin Ferre

Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits

Hassan SABER, Fabien Pesquerel, Odalric-ambrym Maillard, Mohammad Sadegh Talebi

Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks

Andreas Roth, Thomas Liebig

Remote Wildfire Detection using Multispectral Satellite Imagery and Vision Transformers

Ryan Rad

Multi-behavior Session-based Recommendation via Graph Reinforcement Learning

Shuo Qin, Feng Lin, Lingxiao Xu, Bowen Deng, Siwen Li

Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks

Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam Barnaghi

The Fine Print on Tempered Posteriors

Konstantinos Pitas, Julyan Arbel

Simple and Efficient Vision Backbone Adapter for Image Semantic Segmentation

Dingjie Peng, Wataru Kameyama

Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction:A Novel Method

Qiao Pan, Bin Yang, Dehua Chen, Mei Wang

Domain Generalization with Interpolation Robustness

Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta

Selective Nonparametric Regression via Testing

Fedor Noskov, Alexander Fishkov, Maxim Panov

Frequency-dependent Image Reconstruction Error for Micro Defect Detection

Yuhei Nomura, Hirotaka Hachiya

Transformed Gaussian Processes for Characterizing a Model’s Discrepancy

Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami

The Importance of Anti-Aliasing in Tiny Object Detection

Jinlai Ning, Michael Spratling

Empirical Study of Federated Unlearning: Efficiency and Effectiveness

Thai-Hung Nguyen, Hong-Phuc Vu, Dung Thuy Nguyen, Tuan Minh Nguyen, Khoa D Doan

Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee

Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta

Free Energy of Bayesian Convolutional Neural Network with Skip Connection

Shuya Nagayasu, Sumio Watanabe

Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue

Thomas Mulc, Debidatta Dwibedi

Maximization of Minimum Weighted Hamming Distance between Set Pairs

Tatsuya Matsuoka, Shinji Ito

A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers

Kengo Matsumoto, Tomoya Matsuda, Atsuki Inoue, Hiroshi Kawaguchi, Yasufumi Sakai

VMLC: Statistical Process Control for Image Classification in Manufacturing

Philipp Mascha

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

Multi-objective Adaptive Dynamics Attention Model to Solve Multi-objective Vehicle Routing Problem

Guang Luo, Jianping Luo

KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking

Xin Liu, Jie Tan, Xiaoguang Ren, Weiya Ren, Huadong Dai

Overcoming catastrophic forgetting with classifier expander

Xinchen Liu, Hongbo Wang, Yingjian Tian, Linyao Xie

Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation

Mingshi Liu, Xiaoru Wang, Zhihong Yu, Fu Li

Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting

Zixuan Liang, Yanan Sun

Efficient Medical Images Text Detection with Vision-Language Pre-training Approach

Tianyang Li, Jinxu Bai, Qingzhu Wang, Hanwen Xu

K-Truss Based Temporal Graph Convolutional Network for Dynamic Graphs

Hongxi Li, Zuxuan Zhang, Dengzhe Liang, Yuncheng Jiang

Attributed Graph Subspace Clustering with Graph-Boosting

Wang Li, En Zhu, Siwei Wang, Xifeng Guo

Detecting and Repairing Deviated Outputs of Compressed Models

Yichen Li, Qi Pang, Dongwei Xiao, Zhibo Liu, Shuai Wang

FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation

Zongyi Li, Hongbing Lyu, Jun Wang

SANGEA: Scalable and Attributed Network Generation

Valentin Lemaire, Youssef Achenchabe, Lucas Ody, Houssem Eddine Souid, Gianmarco Aversano

Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression

Seungtae Lee, Jonghwan Ko, Seokin Hong

Thompson Exploration with Best Challenger Rule in Best Arm Identification

Jongyeong Lee, Junya Honda, Masashi Sugiyama

Cross-Domain Relation Adaptation

Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf

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

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

Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation

Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni

Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning

Chunlin Ji, Zhan Xiong, Meiying Zhang, Huiwen Yang, Feng Chen

Deep Kernel Regression with Finite Learnable Kernels

Chunlin Ji, Yuhao Fu

Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting

Chunlin Ji, Yuhao Fu, Ping He

Mem-Rec: Memory Efficient Recommendation System using Alternative Representation

Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem

Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takac

Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention

Xinyuan Huang, Qianqian Ren

Temporal RPN Learning for Weakly-Supervised Temporal Action Localization

Jing Huang, Ming Kong, Luyuan Chen, Tian Liang, Qiang Zhu

Outlier Robust Adversarial Training

Shu Hu, ZHENHUAN YANG, Xin Wang, Yiming Ying, Siwei Lyu

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

How GAN Generators can Invert Networks in Real-Time

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le’Clerc Arrastia, Peter Maaß

Self Weighted Multiplex Modularity Maximization for Multiview Clustering

Noureddine Henka, Mohamad Assaad, Sami Tazi

State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking

Ming Gu, yan yang, Chengcai Chen, Zhou Yu

Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices

Mohamed Imed Eddine Ghebriout, Halima Bouzidi, Smail Niar, Hamza Ouarnoughi

Robust Image Classification via Using Multiple Diversity Losses

Yi Fang, Wen-Hao Zheng, Qihui Wang, Xiao-Xin Li

Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain

Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati

Pedestrian Cross Forecasting with Hybrid Feature Fusion

Meng Dong

Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information

Ruiqi Ding, Tao Li, Xiaolin Huang

Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection

Stefan Denkovski, Shehroz S Khan, Alex Mihailidis

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

Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training

Zihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh, Benjamin Cho, Leo Orshansky

Optimal Nonlinearities Improve Generalization Performance of Random Features

Samet Demir, Zafer Doğan

Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction

Chen Haotian, Chen Yijiang, Zhou Xiangdong

Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition

Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas

BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning

Omer Veysel Cagatan, Baris Akgun