ACML 2024 Conference Submissions

EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning
Siddharth Aravindan, Dixant Mittal, Wee Sun Lee
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Hierarchical Global Asynchronous Federated Learning Across Multi-Center
Wei Xie, Runqun Xiong, Junzhou Luo
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model
Longfei Huang, Xiangyu Wu, Jingyuan Wang, Weili Guo, Yang Yang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Joint learning of Gaussian graphical models in heterogeneous dependencies of high-dimensional transcriptomic data
Dung Ngoc Nguyen, Zitong Li
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
A Single-Stage Multi-Style License Plate Recognition Method Based on Attention
Longbin Wu, Sen Liu, Yufei Xie, Haowei Lee, Xiaohui Duan
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics
Hanwei Zhang, Felipe Torres Figueroa, Holger Hermanns
- Published: 05 Sept 2024, Last Modified: 12 Nov 2024
- ACML 2024 Conference Track
- Readers: Everyone
FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity
Zaipeng Xie, Li Likun, Xiangbin Chen, Hao Yu, Qian Huang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning
Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures
JiaJun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information
Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
IST-YOLO: Infrared Small Target Detector based on Improved YOLOv8
Ruoyu Wang, Bicao Li, Bei Wang, Danting Niu, Yongzhao Wang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations
Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min, Jing Zhang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Universal Video Face Restoration Method Based on Vision-Language Model
Yipiao Xu, Zhenbo Song, Jianfeng Lu
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Towards Robust Saliency Maps
Nham Le, Arie Gurfinkel, Xujie Si, Chuqin Geng
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Analyzing Diffusion Models on Synthesizing Training Datasets
Shin'ya Yamaguchi
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Membership Inference Attacks Against Time-Series Models
Noam Koren, Abigail Goldsteen, Guy Amit, Ariel Farkash
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
FedLF：Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning
Xiuhua Lu, Peng Li, Xuefeng Jiang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Constructing a Knowledge-Guided Mental Health Chatbot with LLMs
Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Combinatorial Causal Bandits without Graph Skeleton
Shi Feng, Nuoya Xiong, Wei Chen
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
One-Shot Machine Unlearning with Mnemonic Code
Tomoya Yamashita, Masanori Yamada, Takashi Shibata
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Toward Data Efficient Model Merging between Different Datasets without Performance Degradation
Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi, Daiki Chijiwa
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training
Yangwenjian Tan, Yikai Yan, Chaoyue Niu
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Multi-Scale Dual-Attention Unfolding Network for Compressed Sensing Image Reconstruction
Liangjun Wang, Meixin Wang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
MLP-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
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting
Yang Xie, Qiao Liu, Rui Hou, Tingting Dai, Tian Lan
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone