ACML 2024 Conference Submissions

Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting
Yuanyang Yin, Baoqun Yin
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Countering Relearning with Perception Revising Unlearning
Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments
Lilan Lin, Xiaotong Nie, Jian Hou
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
LabelPrompt: Effective prompt-based learning for relation classification
Wenjie Zhang, Xiaoning Song, Zhenhua Feng, Tianyang Xu, Xiaojun Wu
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting
Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang, Ziyun Qian, Lihua Zhang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation
Shixiong Jing, Lingwei Chen, Dinghao Wu
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Towards Calibrated Losses for Adversarial Robust Reject Option Classification
VRUND SHAH, Tejas Kiran Chaudhari, Naresh Manwani
- Published: 05 Sept 2024, Last Modified: 29 Nov 2024
- ACML 2024 Conference Track
- Readers: Everyone
Fairness and Privacy Guarantees in Federated Contextual Bandits
Sambhav Solanki, Shweta Jain, Sujit Gujar
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
An Efficient Query Optimization Framework Based on MCTS and LTR
Chaofan Zhao, Yize Sui, Ruochun Jin, Jing Ren
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Orchestrating 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
- Published: 05 Sept 2024, Last Modified: 01 Dec 2024
- ACML 2024 Conference Track
- Readers: Everyone
On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection
Zining Wang, Lijian Gao, Jialin Zhang, Qirong Mao
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers
Linh Thi Hoang, Tuan Dung Pham, Son T. Mai, Viet Cuong Ta
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
Jinhong He, Minglong Xue, Aoxiang Ning, Chengyun Song
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
The data-driven transferable adversarial space
Yuan Liu, Stephane Canu
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Non-Oblivious Performance of Random Projections
Maciej Skorski, Alessandro Temperoni
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Middle Code Prediction: Enhancing Code Generation for Uncommon Programming Languages in Robotics
Zixi Jia, Hongbin Gao, Hexiao Li
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
I Mean I Am a Mouse:Mmeets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models
yunzhe Liu, Xuxinyi
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory
Qiang Zhou, Sinno Jialin Pan
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models
Zixi Jia, Jiqiang Liu, Hexiao Li, Qinghua Liu, Hongbin Gao
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning
Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
TSMCR: Two-stage Supervised Multi-modality Contrastive Representation for Ultrasound-based Breast Cancer Diagnosis
Bangming Gong
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization
Dong Zhou, Binli Zeng, Nankai Lin, Yongmei Zhou, Aimin Yang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws
Huachen Tan, Moming Duan, Duo Liu, HaojieLu, YuexinMu, Longyi Zhou, Ao Ren, Yujuan Tan, Kan Zhong
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Causal ATTention Multiple Instance Learning for Whole Slide Image Classification
Xiaochun Wu, Haitao Wang, Hejun Wu
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
RedditEM: Unveiling Diachronic Semantic Shifts in Social Network Discourse
Jiajun Zou, Sixing Wu, Jinshuai Yang, Minghu Jiang, Yongfeng Huang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone