ACML C

88 papers

YearTitle / Authors
2024A More Efficient Inference Model for Multimodal Emotion Recognition.
Liang Jia, Jin Tan, Lijin Qi, Mingwen Lin
2024A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification.
Yifan Yu, Dazhi Wang, Yanhua Chen, Hongfeng Wang, Min Huang
2024A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information.
Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang
2024A Single-Stage Multi-Style License Plate Recognition Method Based on Attention.
Longbin Wu, Sen Liu, Yufei Xie, Haowei Lee, Xiaohui Duan
2024AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement.
Zhishuo Zhao, Dongyue Guo, Wenjie Ou, Hong Liu, Yi Lin
2024Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training.
Yangwenjian Tan, Yikai Yan, Chaoyue Niu
2024An Efficient Query Optimization Framework Based on MCTS and LTR.
Chaofan Zhao, Yize Sui, Ruochun Jin, Jing Ren
2024Analyzing Diffusion Models on Synthesizing Training Datasets.
Shin'ya Yamaguchi
2024Asian Conference on Machine Learning, 5-8 December 2024, Hanoi, Vietnam.
Vu Nguyen, Hsuan-Tien Lin
2024Causal ATTention Multiple Instance Learning for Whole Slide Image Classification.
Xiaochun Wu, Haitao Wang, Hejun Wu
2024Chain Association-based Attacking and Shielding Natural Language Processing Systems.
Jiacheng Huang, Long Chen
2024Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation.
Shixiong Jing, Lingwei Chen, Dinghao Wu
2024ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba.
Huiyu Zhai, Guang Jin, Xingxing Yang, Guosheng Kang
2024Combinatorial Causal Bandits without Graph Skeleton.
Shi Feng, Nuoya Xiong, Wei Chen
2024Constrained Implicit Learning Framework for Neural Network Sparsification.
Alicia Y. Tsai, Wenzhi Gao, Laurent El Ghaoui
2024Constructing a Knowledge-Guided Mental Health Chatbot with LLMs.
Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen
2024Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory.
Qiang Zhou, Sinno Jialin Pan
2024Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes.
Xuemin Wang, Lei Wang, Tianlong Gu, Xuguang Bao
2024Countering Relearning with Perception Revising Unlearning.
Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu
2024Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting.
Yuanyang Yin, Baoqun Yin
2024DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models.
Zixi Jia, Jiqiang Liu, Hexiao Li, Qinghua Liu, Hongbin Gao
2024DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure.
Junyi Ye, Mengnan Du, Guiling Wang
2024Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing.
Ping Li, Mingwei Liang, Zhao Jiang, Jun Zhang
2024Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems.
Xiangming Meng, Yoshiyuki Kabashima
2024Diffusion-based Adversarial Attack to Automatic Speech Recognition.
Ying Wang, Yuchuan Luo, Shaojing Fu, Zhenyu Qiu, Lin Liu
2024Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model.
Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
2024EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning.
Siddharth Aravindan, Dixant Mittal, Wee Sun Lee
2024Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning.
Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang
2024Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining.
Sisi Fu, Zhiming Chen, Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Huosheng Wen, Bingzhi Chen
2024Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models.
Mengliang He, Aimin Zhou, Xiaoming Shi
2024Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL.
Nicolas Bougie, Narimasa Watanabe
2024FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion.
Shuqiang Cai, Chennan Ma, Xin Wang, Li Lin, Ming Yan, Xincheng Lin, Shuqi Fan, Siqi Shen
2024Fairness and Privacy Guarantees in Federated Contextual Bandits.
Sambhav Solanki, Shweta Jain, Sujit Gujar
2024Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance.
Yudai Yamamoto, Satoshi Hara
2024FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity.
Zaipeng Xie, Likun Li, Xiangbin Chen, Hao Yu, Qian Huang
2024FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning.
Xiuhua Lu, Peng Li, Xuefeng Jiang
2024FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning.
Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji
2024GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data.
Soumen Pachal, Avinash Achar, Nancy Bhutani, Akash Das
2024Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing.
Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang
2024HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization.
Dong Zhou, Binli Zeng, Nankai Lin, Yongmei Zhou, Aimin Yang
2024Hierarchical Global Asynchronous Federated Learning Across Multi-Center.
Wei Xie, Runqun Xiong, Junzhou Luo
2024How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space.
Yuanqu Mou, Zhengxue Jian, Haiyang Bai, Chang Gou
2024I Mean I Am a Mouse: meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models.
Yunzhe Liu, Xinyi Xu
2024IST-YOLO: Infrared Small Target Detector based on Improved YOLOv8.
Ruoyu Wang, Bicao Li, Bei Wang, Danting Niu, Yongzhao Wang
2024Improve Diverse Commonsense Generation by Enhancing Subgraphs.
Jianman Tan, Shuo Yang
2024InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries.
Mengze Hong, Chen Jason Zhang, Lingxiao Yang, Yuanfeng Song, Di Jiang
2024Joint learning of Gaussian graphical models in heterogeneous dependencies of high-dimensional transcriptomic data.
Dung Ngoc Nguyen, Zitong Li
2024Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.
Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang
2024LPNER: Label Prompt for Few-shot Nested Named Entity Recognition.
Jiaoyun Yang, Zhihan Zhu, Hong Ming, Lili Jiang, Ning An
2024LabelPrompt: Effective prompt-based learning for relation classification.
Wenjie Zhang, Xiaoning Song, Zhenhua Feng, Tianyang Xu, Xiaojun Wu
2024Large Vision-Language Models as Emotion Recognizers in Context Awareness.
Yuxuan Lei, Dingkang Yang, Zhaoyu Chen, Jiawei Chen, Peng Zhai, Lihua Zhang
2024MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures.
Jiajun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin
2024MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters.
Hirotaka Hachiya, Yuto Kuroki, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara
2024Membership Inference Attacks Against Time-Series Models.
Noam Koren, Abigail Goldsteen, Guy Amit, Ariel Farkash
2024Middle Code Prediction: Enhancing Code Generation for Uncommon Programming Languages in Robotics.
Zixi Jia, Hongbin Gao, Hexiao Li
2024Motion meets Attention: Video Motion Prompts.
Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon
2024Multi-Scale Dual-Attention Unfolding Network for Compressed Sensing Image Reconstruction.
Liangjun Wang, Meixin Wang
2024Multi-Task Network Guided Multimodal Fusion for Fake News Detection.
Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang
2024Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting.
Yang Xie, Qiao Liu, Rui Hou, Tingting Dai, Tian Lan
2024Multilevel Position-aware Attention Enhanced Network for Skeleton-Based Action Recognition.
Dandan Zhang, Jia Wang, Sicong Zhan
2024Non-Oblivious Performance of Random Projections.
Maciej Skorski, Alessandro Temperoni
2024On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection.
Zining Wang, Lijian Gao, Jialin Zhang, Qirong Mao
2024On the sample complexity of privately learning half-spaces.
Yi-Hsiang Huang, Wei-Hong Chen, Shi-Chun Tsai
2024One-Shot Machine Unlearning with Mnemonic Code.
Tomoya Yamashita, Masanori Yamada, Takashi Shibata
2024Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism.
Ailin Song, Yuhong Chen, Yusong Wang, Shuai Zhong, Mingkun Xu
2024PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning.
Zheng Yuan, Qian Wan, Tao Zhang, Chengfu Huo
2024Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence.
Vencia Herzog, Stefan Suwelack
2024Preface.
2024Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers.
Thi Linh Hoang, Tuan Dung Pham, Son T. Mai, Viet Cuong Ta
2024Prompting vision-language fusion for Zero-Shot Composed Image Retrieval.
Peng Wang, Zining Chen, Zhicheng Zhao, Fei Su
2024RedditEM: Unveiling Diachronic Semantic Shifts in Social Network Discourse.
Jiajun Zou, Sixing Wu, Jinshuai Yang, Minghu Jiang, Yongfeng Huang
2024Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model.
Longfei Huang, Xiangyu Wu, Jingyuan Wang, Weili Guo, Yang Yang
2024Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws.
Huachen Tan, Moming Duan, Duo Liu, Haojie Lu, Yuexin Mu, Longyi Zhou, Ao Ren, Yujuan Tan, Kan Zhong
2024Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments.
Lilan Lin, Xiaotong Nie, Jian Hou
2024Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior.
Giang Ngo, Dang Nguyen, Sunil Gupta
2024Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics.
Hanwei Zhang, Felipe Torres Figueroa, Holger Hermanns
2024SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting.
Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang, Ziyun Qian, Lihua Zhang
2024TSMCR: Two-stage Supervised Multi-modality Contrastive Representation for Ultrasound-based Breast Cancer Diagnosis.
Bangming Gong
2024The data-driven transferable adversarial space.
Yuan Liu, Stéphane Canu
2024Toward Data Efficient Model Merging between Different Datasets without Performance Degradation.
Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi, Daiki Chijiwa
2024Towards Calibrated Losses for Adversarial Robust Reject Option Classification.
Vrund Shah, Tejas Kiran Chaudhari, Naresh Manwani
2024Towards Robust Saliency Maps.
Nham Le, Arie Gurfinkel, Xujie Si, Chuqin Geng
2024Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations.
Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min, Jing Zhang
2024Universal Video Face Restoration Method Based on Vision-Language Model.
Yipiao Xu, Zhenbo Song, Jianfeng Lu
2024Visible-Infrared Person Re-Indentification via Feature Fusion and Deep Mutual Learning.
Ziyang Lin, Banghai Wang
2024Vision Transformer with High Spatial Structure Sensitivity.
Zhiwei Xu
2024When and How to Grow? On Efficient Pre-training via Model Growth.
Jikai Wang, Juntao Li, Min Zhang, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Baoxing Huai
2024Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement.
Jinhong He, Minglong Xue, Aoxiang Ning, Chengyun Song