default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID16th ACML 2024: Hanoi, Vietnam
- Vu Nguyen, Hsuan-Tien Lin:
Asian Conference on Machine Learning, 5-8 December 2024, Hanoi, Vietnam. Proceedings of Machine Learning Research 260, PMLR 2024 - Preface. i-ii
- Alicia Y. Tsai, Wenzhi Gao, Laurent El Ghaoui:
Constrained Implicit Learning Framework for Neural Network Sparsification. 1-16 - Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang:
Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing. 17-32 - Yifan Yu, Dazhi Wang, Yanhua Chen, Hongfeng Wang, Min Huang:
A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification. 33-48 - Liang Jia, Jin Tan, Lijin Qi, Mingwen Lin:
A More Efficient Inference Model for Multimodal Emotion Recognition. 49-63 - Yuanqu Mou, Zhengxue Jian, Haiyang Bai, Chang Gou:
How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space. 64-78 - Ziyang Lin, Banghai Wang:
Visible-Infrared Person Re-Indentification via Feature Fusion and Deep Mutual Learning. 79-94 - Jikai Wang, Juntao Li, Min Zhang, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Baoxing Huai:
When and How to Grow? On Efficient Pre-training via Model Growth. 95-110 - Yuxuan Lei, Dingkang Yang, Zhaoyu Chen, Jiawei Chen, Peng Zhai, Lihua Zhang:
Large Vision-Language Models as Emotion Recognizers in Context Awareness. 111-126 - Nicolas Bougie, Narimasa Watanabe:
Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL. 127-142 - Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang:
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. 143-158 - Ping Li, Mingwei Liang, Zhao Jiang, Jun Zhang:
Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing. 159-174 - Yang Xie, Qiao Liu, Rui Hou, Tingting Dai, Tian Lan:
Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting. 175-190 - Hirotaka Hachiya, Yuto Kuroki, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara:
MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters. 191-206 - Liangjun Wang, Meixin Wang:
Multi-Scale Dual-Attention Unfolding Network for Compressed Sensing Image Reconstruction. 207-222 - Yangwenjian Tan, Yikai Yan, Chaoyue Niu:
Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training. 223-238 - Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi, Daiki Chijiwa:
Toward Data Efficient Model Merging between Different Datasets without Performance Degradation. 239-254 - Tomoya Yamashita, Masanori Yamada, Takashi Shibata:
One-Shot Machine Unlearning with Mnemonic Code. 255-270 - Shi Feng, Nuoya Xiong, Wei Chen:
Combinatorial Causal Bandits without Graph Skeleton. 271-286 - Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen:
Constructing a Knowledge-Guided Mental Health Chatbot with LLMs. 287-302 - Xiuhua Lu, Peng Li, Xuefeng Jiang:
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning. 303-318 - Noam Koren, Abigail Goldsteen, Guy Amit, Ariel Farkash:
Membership Inference Attacks Against Time-Series Models. 319-334 - Shin'ya Yamaguchi:
Analyzing Diffusion Models on Synthesizing Training Datasets. 335-350 - Nham Le, Arie Gurfinkel, Xujie Si, Chuqin Geng:
Towards Robust Saliency Maps. 351-366 - Yipiao Xu, Zhenbo Song, Jianfeng Lu:
Universal Video Face Restoration Method Based on Vision-Language Model. 367-382 - Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min, Jing Zhang:
Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations. 383-398 - Ruoyu Wang, Bicao Li, Bei Wang, Danting Niu, Yongzhao Wang:
IST-YOLO: Infrared Small Target Detector based on Improved YOLOv8. 399-414 - Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang:
A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information. 415-430 - Jiajun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin:
MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures. 431-446 - Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang:
Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning. 447-462 - Zaipeng Xie, Likun Li, Xiangbin Chen, Hao Yu, Qian Huang:
FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity. 463-478 - Hanwei Zhang, Felipe Torres Figueroa, Holger Hermanns:
Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics. 479-494 - Longbin Wu, Sen Liu, Yufei Xie, Haowei Lee, Xiaohui Duan:
A Single-Stage Multi-Style License Plate Recognition Method Based on Attention. 495-510 - Dung Ngoc Nguyen, Zitong Li:
Joint learning of Gaussian graphical models in heterogeneous dependencies of high-dimensional transcriptomic data. 511-526 - Longfei Huang, Xiangyu Wu, Jingyuan Wang, Weili Guo, Yang Yang:
Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model. 527-542 - Wei Xie, Runqun Xiong, Junzhou Luo:
Hierarchical Global Asynchronous Federated Learning Across Multi-Center. 543-558 - Siddharth Aravindan, Dixant Mittal, Wee Sun Lee:
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning. 559-574 - Junyi Ye, Mengnan Du, Guiling Wang:
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure. 575-590 - Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon:
Motion meets Attention: Video Motion Prompts. 591-606 - Giang Ngo, Dang Nguyen, Sunil Gupta:
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior. 607-622 - Xiangming Meng, Yoshiyuki Kabashima:
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems. 623-638 - Mengliang He, Aimin Zhou, Xiaoming Shi:
Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models. 639-654 - Yi-Hsiang Huang, Wei-Hong Chen, Shi-Chun Tsai:
On the sample complexity of privately learning half-spaces. 655-670 - Peng Wang, Zining Chen, Zhicheng Zhao, Fei Su:
Prompting vision-language fusion for Zero-Shot Composed Image Retrieval. 671-686 - 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:
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. 687-702 - Vencia Herzog, Stefan Suwelack:
Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence. 703-718 - Xuemin Wang, Lei Wang, Tianlong Gu, Xuguang Bao:
Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes. 719-734 - Zhiwei Xu:
Vision Transformer with High Spatial Structure Sensitivity. 735-749 - Jianman Tan, Shuo Yang:
Improve Diverse Commonsense Generation by Enhancing Subgraphs. 750-764 - Huiyu Zhai, Guang Jin, Xingxing Yang, Guosheng Kang:
ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba. 765-780 - Jiaoyun Yang, Zhihan Zhu, Hong Ming, Lili Jiang, Ning An:
LPNER: Label Prompt for Few-shot Nested Named Entity Recognition. 781-796 - Soumen Pachal, Avinash Achar, Nancy Bhutani, Akash Das:
GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data. 797-812 - Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang:
Multi-Task Network Guided Multimodal Fusion for Fake News Detection. 813-828 - Zheng Yuan, Qian Wan, Tao Zhang, Chengfu Huo:
PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning. 829-844 - Mengze Hong, Chen Jason Zhang, Lingxiao Yang, Yuanfeng Song, Di Jiang:
InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries. 845-857 - Shuqiang Cai, Chennan Ma, Xin Wang, Li Lin, Ming Yan, Xincheng Lin, Shuqi Fan, Siqi Shen:
FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion. 858-872 - Yudai Yamamoto, Satoshi Hara:
Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance. 873-888 - Ying Wang, Yuchuan Luo, Shaojing Fu, Zhenyu Qiu, Lin Liu:
Diffusion-based Adversarial Attack to Automatic Speech Recognition. 889-904 - Jiacheng Huang, Long Chen:
Chain Association-based Attacking and Shielding Natural Language Processing Systems. 905-920 - Dandan Zhang, Jia Wang, Sicong Zhan:
Multilevel Position-aware Attention Enhanced Network for Skeleton-Based Action Recognition. 921-935 - Sisi Fu, Zhiming Chen, Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Huosheng Wen, Bingzhi Chen:
Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining. 936-951 - Zhishuo Zhao, Dongyue Guo, Wenjie Ou, Hong Liu, Yi Lin:
AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement. 952-967 - Jiajun Zou, Sixing Wu, Jinshuai Yang, Minghu Jiang, Yongfeng Huang:
RedditEM: Unveiling Diachronic Semantic Shifts in Social Network Discourse. 968-983 - Xiaochun Wu, Haitao Wang, Hejun Wu:
Causal ATTention Multiple Instance Learning for Whole Slide Image Classification. 984-999 - Huachen Tan, Moming Duan, Duo Liu, Haojie Lu, Yuexin Mu, Longyi Zhou, Ao Ren, Yujuan Tan, Kan Zhong:
Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws. 1000-1015 - Dong Zhou, Binli Zeng, Nankai Lin, Yongmei Zhou, Aimin Yang:
HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization. 1016-1031 - Bangming Gong:
TSMCR: Two-stage Supervised Multi-modality Contrastive Representation for Ultrasound-based Breast Cancer Diagnosis. 1032-1047 - Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji:
FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning. 1048-1063 - Zixi Jia, Jiqiang Liu, Hexiao Li, Qinghua Liu, Hongbin Gao:
DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models. 1064-1079 - Qiang Zhou, Sinno Jialin Pan:
Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory. 1080-1095 - Yunzhe Liu, Xinyi Xu:
I Mean I Am a Mouse: meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models. 1096-1111 - Zixi Jia, Hongbin Gao, Hexiao Li:
Middle Code Prediction: Enhancing Code Generation for Uncommon Programming Languages in Robotics. 1112-1127 - Maciej Skorski, Alessandro Temperoni:
Non-Oblivious Performance of Random Projections. 1128-1143 - Yuan Liu, Stéphane Canu:
The data-driven transferable adversarial space. 1144-1159 - Jinhong He, Minglong Xue, Aoxiang Ning, Chengyun Song:
Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement. 1160-1175 - Thi Linh Hoang, Tuan Dung Pham, Son T. Mai, Viet Cuong Ta:
Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers. 1176-1191 - Zining Wang, Lijian Gao, Jialin Zhang, Qirong Mao:
On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection. 1192-1207 - Ailin Song, Yuhong Chen, Yusong Wang, Shuai Zhong, Mingkun Xu:
Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism. 1208-1223 - Chaofan Zhao, Yize Sui, Ruochun Jin, Jing Ren:
An Efficient Query Optimization Framework Based on MCTS and LTR. 1224-1239 - Sambhav Solanki, Shweta Jain, Sujit Gujar:
Fairness and Privacy Guarantees in Federated Contextual Bandits. 1240-1255 - Vrund Shah, Tejas Kiran Chaudhari, Naresh Manwani:
Towards Calibrated Losses for Adversarial Robust Reject Option Classification. 1256-1271 - Shixiong Jing, Lingwei Chen, Dinghao Wu:
Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation. 1272-1287 - Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang, Ziyun Qian, Lihua Zhang:
SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting. 1288-1303 - Wenjie Zhang, Xiaoning Song, Zhenhua Feng, Tianyang Xu, Xiaojun Wu:
LabelPrompt: Effective prompt-based learning for relation classification. 1304-1319 - Lilan Lin, Xiaotong Nie, Jian Hou:
Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments. 1320-1335 - Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu:
Countering Relearning with Perception Revising Unlearning. 1336-1351 - Yuanyang Yin, Baoqun Yin:
Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting. 1352-1367
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-22 02:22 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
