ACML - researchr conference series publications

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 100 from 711

2023

Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion MeasuresAbhishek Tiwari 0005, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh. acml 2023: 1369-1384 [doi]

2NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature LearningLei Ju 0005, Zhenhua Feng, Muhammad Awais 0001, Josef Kittler. acml 2023: 614-629 [doi]

Learning to Terminate in Object NavigationYuhang Song 0008, Anh Nguyen 0003, Chun-Yi Lee. acml 2023: 1247-1262 [doi]

Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization StrategyKe Sun 0013, Bing Yu, Zhouchen Lin, Zhanxing Zhu. acml 2023: 1276-1291 [doi]

Prefaceacml 2023: [doi]

Mitigating Bias: Enhancing Image Classification by Improving Model ExplanationsRaha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooie, Mohammad Sabokrou. acml 2023: 1-14 [doi]

Degree-based stratification of nodes in Graph Neural NetworksAmeen Ali, Lior Wolf, Hakan Cevikalp. acml 2023: 15-27 [doi]

Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited MemoryHilal AlQuabeh, Bhaskar Mukhoty, Bin Gu 0001. acml 2023: 28-43 [doi]

Ted: Tree delineation with reduced dimensions using entropy and deep learningR. N. Anjani, C. H. Sarvani, K. Kalyan Deep, P. Aravinda Kumar, Sitiraju Srinivasa Rao. acml 2023: 44-57 [doi]

A Pragmatic Look at Deep Imitation LearningKai Arulkumaran, Dan Ogawa Lillrank. acml 2023: 58-73 [doi]

Equilibrium Point LearningDowoo Baik, Ji Won Yoon. acml 2023: 74-89 [doi]

Show Me How It's Done: The Role of Explanations in Fine-Tuning Language ModelsMohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger. acml 2023: 90-105 [doi]

ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype LearningGulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal. acml 2023: 106-120 [doi]

Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order PickingLuca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang 0001. acml 2023: 121-136 [doi]

ASAP: Attention-Based State Space Abstraction for Policy SummarizationYanzhe Bekkemoen, Helge Langseth. acml 2023: 137-152 [doi]

Federated Learning with Uncertainty via Distilled Predictive DistributionsShrey Bhatt, Aishwarya Gupta, Piyush Rai. acml 2023: 153-168 [doi]

Diffusion-based Visual Representation Learning for Medical Question AnsweringDexin Bian, Xiaoru Wang, Meifang Li. acml 2023: 169-184 [doi]

Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their WayNicolas Bougie, Daria Vazhenina, Narimasa Watanabe. acml 2023: 185-200 [doi]

BarlowRL: Barlow Twins for Data-Efficient Reinforcement LearningOmer Veysel Cagatan, Baris Akgün. acml 2023: 201-216 [doi]

Deep Uniformly Distributed Centers on a Hypersphere for Open Set RecognitionHakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas. acml 2023: 217-230 [doi]

Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation ExtractionHaotian Chen, Yijiang Chen, Xiangdong Zhou. acml 2023: 231-246 [doi]

Optimal Nonlinearities Improve Generalization Performance of Random FeaturesSamet Demir, Zafer Dogan. acml 2023: 247-262 [doi]

Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding TrainingZihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh, Benjamin Y. Cho, Leo Orshansky, Mattan Erez, Michael Orshansky. acml 2023: 263-278 [doi]

Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall DetectionStefan Denkovski, Shehroz S. Khan, Alex Mihailidis. acml 2023: 295-310 [doi]

Pedestrian Cross Forecasting with Hybrid Feature FusionMeng Dong. acml 2023: 327-342 [doi]

Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time DomainParag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati. acml 2023: 343-358 [doi]

Robust Image Classification via Using Multiple Diversity LossesYi Fang, Wen-Hao Zheng, Qihui Wang, Xiao-Xin Li. acml 2023: 359-373 [doi]

Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained DevicesMohamed Imed Eddine Ghebriout, Halima Bouzidi, Smaïl Niar, Hamza Ouarnoughi. acml 2023: 374-389 [doi]

State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State TrackingMing Gu, Yan Yang, Chengcai Chen, Zhou Yu 0005. acml 2023: 390-405 [doi]

Self Weighted Multiplex Modularity Maximization for Multiview ClusteringNoureddine Henka, Mohamad Assaad, Sami Tazi. acml 2023: 406-421 [doi]

How GAN Generators can Invert Networks in Real-TimeRudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß. acml 2023: 422-437 [doi]

Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D GamesKuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu. acml 2023: 438-453 [doi]

Outlier Robust Adversarial TrainingShu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu. acml 2023: 454-469 [doi]

Temporal RPN Learning for Weakly-Supervised Temporal Action LocalizationJing Huang, Ming Kong, Luyuan Chen, Tian Liang, Qiang Zhu. acml 2023: 470-485 [doi]

Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph AttentionXinyuan Huang, Qianqian Ren. acml 2023: 486-501 [doi]

Reinforcement Learning for Solving Stochastic Vehicle Routing ProblemZangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác 0001. acml 2023: 502-517 [doi]

Mem-Rec: Memory Efficient Recommendation System using Alternative RepresentationGopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi R. Iyer 0001. acml 2023: 518-533 [doi]

Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fittingChunlin Ji, Yuhao Fu, Ping He. acml 2023: 534-549 [doi]

Deep Kernel Regression with Finite Learnable KernelsChunlin Ji, Yuhao Fu. acml 2023: 550-565 [doi]

Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot LearningChunlin Ji, Zhan Xiong, Meiying Zhang, Huiwen Yang, Feng Chen, Hanchun Shen. acml 2023: 566-581 [doi]

Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust OptimisationJunqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago 0001, Francesca Toni. acml 2023: 582-597 [doi]

SART-Res-UNet: Fan Beam CT Image Reconstruction from Limited Projections using attention-enabled residual U-NetHarika Jinka, Jyothsna Shaji, Sangeeth John, Sreeraj R. Menon, Amalu Pradeep, P. B. Jayaraj, Pournami P. N, Niyas Puzhakkal. acml 2023: 598-613 [doi]

Cross-Domain Relation AdaptationIdo Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf. acml 2023: 630-645 [doi]

Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor CompressionSeungtae Lee, Jonghwan Ko, Seokin Hong. acml 2023: 662-677 [doi]

Thompson Exploration with Best Challenger Rule in Best Arm IdentificationJongyeong Lee, Junya Honda, Masashi Sugiyama. acml 2023: 646-661 [doi]

SANGEA: Scalable and Attributed Network GenerationValentin Lemaire, Youssef Achenchabe, Lucas Ody, Houssem Eddine Souid, Gianmarco Aversano, Nicolas Posocco, Sabri Skhiri. acml 2023: 678-693 [doi]

Efficient Medical Images Text Detection with Vision-Language Pre-training ApproachTianyang Li, Jinxu Bai, Qingzhu Wang, Hanwen Xu. acml 2023: 755-770 [doi]

K-Truss Based Temporal Graph Convolutional Network for Dynamic GraphsHongxi Li, Zuxuan Zhang, Dengzhe Liang, Yuncheng Jiang. acml 2023: 739-754 [doi]

Attributed Graph Subspace Clustering with Graph-BoostingWang Li, En Zhu, Siwei Wang, Xifeng Guo 0001. acml 2023: 723-738 [doi]

FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image SegmentationZongyi Li, Hongbing Lyu, Jun Wang. acml 2023: 694-706 [doi]

Evolutionary Neural Architecture Search for Multivariate Time Series ForecastingZixuan Liang, Yanan Sun. acml 2023: 771-786 [doi]

Overcoming catastrophic forgetting with classifier expanderXinchen Liu, Hongbo Wang 0001, Yingjian Tian, Linyao Xie. acml 2023: 803-817 [doi]

KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object TrackingXin Liu, Jie Tan, Xiaoguang Ren, Weiya Ren, Huadong Dai. acml 2023: 818-833 [doi]

Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start RecommendationMingshi Liu, Xiaoru Wang, Zhihong Yu, Fu Li. acml 2023: 787-802 [doi]

Multi-objective Adaptive Dynamics Attention Model to Solve Multi-objective Vehicle Routing ProblemGuang Luo, Jianping Luo. acml 2023: 834-849 [doi]

VMLC: Statistical Process Control for Image Classification in ManufacturingPhilipp Mascha. acml 2023: 866-881 [doi]

A Mixed-Precision Quantization Method without Accuracy Degradation Using SemilayersKengo Matsumoto, Tomoya Matsuda, Atsuki Inoue, Hiroshi Kawaguchi 0001, Yasufumi Sakai. acml 2023: 882-894 [doi]

Maximization of Minimum Weighted Hamming Distance between Set PairsTatsuya Matsuoka, Shinji Ito. acml 2023: 895-910 [doi]

Q-Match: Self-Supervised Learning by Matching Distributions Induced by a QueueThomas Mulc, Debidatta Dwibedi. acml 2023: 911-926 [doi]

Free Energy of Bayesian Convolutional Neural Network with Skip ConnectionShuya Nagayasu, Sumio Watanabe. acml 2023: 927-942 [doi]

Active Level Set Estimation for Continuous Search Space with Theoretical GuaranteeGiang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta 0001. acml 2023: 943-958 [doi]

The Importance of Anti-Aliasing in Tiny Object DetectionJinlai Ning, Michael W. Spratling. acml 2023: 975-990 [doi]

Transformed Gaussian Processes for Characterizing a Model's DiscrepancyAurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami. acml 2023: 991-1006 [doi]

Frequency-dependent Image Reconstruction Error for Micro Defect DetectionYuhei Nomura, Hirotaka Hachiya. acml 2023: 1007-1022 [doi]

Selective Nonparametric Regression via TestingFedor Noskov, Alexander Fishkov, Maxim Panov. acml 2023: 1023-1038 [doi]

Domain Generalization with Interpolation RobustnessRagja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta 0001. acml 2023: 1039-1054 [doi]

Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction: A Novel MethodQiao Pan, Bin Yang, Dehua Chen, Mei Wang. acml 2023: 1055-1070 [doi]

Simple and Efficient Vision Backbone Adapter for Image Semantic SegmentationDingjie Peng, Wataru Kameyama. acml 2023: 1071-1086 [doi]

The Fine Print on Tempered PosteriorsKonstantinos Pitas, Julyan Arbel. acml 2023: 1087-1102 [doi]

Multi-behavior Session-based Recommendation via Graph Reinforcement LearningShuo Qin, Feng Lin, Lingxiao Xu, Bowen Deng, Siwen Li, Fancheng Yang. acml 2023: 1119-1134 [doi]

Remote Wildfire Detection using Multispectral Satellite Imagery and Vision TransformersRyan Rad. acml 2023: 1135-1150 [doi]

Distilling Influences to Mitigate Prediction Churn in Graph Neural NetworksAndreas Roth, Thomas Liebig. acml 2023: 1151-1166 [doi]

Logarithmic regret in communicating MDPs: Leveraging known dynamics with banditsHassan Saber, Fabien Pesquerel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi. acml 2023: 1167-1182 [doi]

Augment to Interpret: Unsupervised and Inherently Interpretable Graph EmbeddingsGregory Scafarto, Madalina Ciortan, Simon Tihon, Quentin Ferre. acml 2023: 1183-1198 [doi]

Edit-A-Video: Single Video Editing with Object-Aware ConsistencyChaehun Shin, Heeseung Kim, Che Hyun Lee, Sang Gil Lee, Sungroh Yoon. acml 2023: 1215-1230 [doi]

Advancing Deep Metric Learning With Adversarial RobustnessInderjeet Singh, Kazuya Kakizaki, Toshinori Araki. acml 2023: 1231-1246 [doi]

Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card TransformerP. Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad. acml 2023: 1263-1275 [doi]

Meta-forests: Domain generalization on random forests with meta-learningYuyang Sun, Panagiotis Kosmas. acml 2023: 1292-1307 [doi]

Hybrid Convolution Method for Graph Classification Using Hierarchical Topology FeatureJiangfeng Sun, Xinyue Lin, Fangyu Hao, Meina Song. acml 2023: 1308-1320 [doi]

Intractability of Learning the Discrete Logarithm with Gradient-Based MethodsRustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov. acml 2023: 1321-1336 [doi]

Towards Better Explanations for Object DetectionVan Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao. acml 2023: 1385-1400 [doi]

Robust Blind Watermarking Framework for Hybrid Networks Combining CNN and TransformerBaowei Wang, Ziwei Song, Yufeng Wu. acml 2023: 1417-1432 [doi]

A Simple and General Binarization Method for Image Restoration Neural NetworksMengxue Wang, Yue Zhang, Xiaodong Zhang, Run Min. acml 2023: 1433-1448 [doi]

Graph Structure Learning via Lottery Hypothesis at ScaleYuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang 0001. acml 2023: 1401-1416 [doi]

Estimation of Counterfactual Interventions under UncertaintiesJuliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Fränzle. acml 2023: 1463-1478 [doi]

Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning?Guoqiang Wu, Jun Zhu. acml 2023: 1494-1509 [doi]

A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment AnalysisDongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi. acml 2023: 1479-1493 [doi]

Generative Semi-supervised Learning with Meta-Optimized Synthetic SamplesShin'ya Yamaguchi. acml 2023: 1510-1525 [doi]

GWQ: Group-Wise Quantization Framework for Neural NetworksJiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv 0001. acml 2023: 1526-1541 [doi]

Asian Conference on Machine Learning, 11-14 November 2023, Istanbul, TurkeyBerrin Yanikoglu, Wray L. Buntine, editors, Volume 222 of Proceedings of Machine Learning Research, PMLR, 2023. [doi]

DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural NetworksMina Yazdani, Hamed Karimi, Reza Samavi. acml 2023: 1574-1589 [doi]

A Multi-Surrogate Assisted Salp Swarm Feature Selection Algorithm with Multi-Population Adaptive Generation Strategy for ClassificationZikang Yu, Hongbin Dong, Tianyu Guo 0006, Bingxu Zhao. acml 2023: 1590-1605 [doi]

Cell Variational Information Bottleneck NetworkZhonghua Zhai. acml 2023: 1606-1621 [doi]

Improving Denoising Diffusion Models via Simultaneous Estimation of Image and NoiseZhenkai Zhang, Krista A. Ehinger, Tom Drummond. acml 2023: 1638-1653 [doi]

Self-supervised Example Difficulty Balancing for Local Descriptor LearningJiahan Zhang, Dayong Tian, Tianyang Wu, Yiqin Cao, Yaoqi Du, Yiwen Wei. acml 2023: 1654-1669 [doi]

Unleashing the Power of High-pass Filtering in Continuous Graph Neural NetworksAcong Zhang, Ping Li. acml 2023: 1683-1698 [doi]

Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive CardiomyopathyLimin Zheng, Hongyu Chen, Lu Qing, Jian Zhuang, Bo Meng, Xiaowei Xu 0004. acml 2023: 1715-1730 [doi]

Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement LearningYuxi Zheng, Yongjun Zhang 0006, Chenran Zhao, Huanhuan Yang, Tongyue Li, Qianying Ouyang, Ying Chen. acml 2023: 1731-1746 [doi]

A Corrected Expected Improvement Acquisition Function Under Noisy ObservationsHan Zhou, Xingchen Ma, Matthew B. Blaschko. acml 2023: 1747-1762 [doi]

FasterVoxelPose+: Fast and Accurate Voxel-based 3D Human Pose Estimation by Depth-wise Projection DecayZonghuang Zhuang, Yue Zhou. acml 2023: 1763-1778 [doi]

Sign in or sign up to see more results.

runs on WebDSL