ACML 2024

87 papers

Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting

Yuanyang Yin, Baoqun Yin

Countering Relearning with Perception Revising Unlearning

Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu

Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments

Lilan Lin, Xiaotong Nie, Jian Hou

LabelPrompt: Effective prompt-based learning for relation classification

Wenjie Zhang, Xiaoning Song, Zhenhua Feng, Tianyang Xu, Xiaojun Wu

SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting

Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang, Ziyun Qian

Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation

Shixiong Jing, Lingwei Chen, Dinghao Wu

Towards Calibrated Losses for Adversarial Robust Reject Option Classification

Vrund Shah, Tejas Kiran Chaudhari, Naresh Manwani

Fairness and Privacy Guarantees in Federated Contextual Bandits

Sambhav Solanki, Shweta Jain, Sujit Gujar

An Efficient Query Optimization Framework Based on MCTS and LTR

Chaofan Zhao, Yize Sui, Ruochun Jin, Jing Ren

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

On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection

Zining Wang, Lijian Gao, Jialin Zhang, Qirong Mao

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

Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement

Jinhong He, Minglong Xue, Aoxiang Ning, Chengyun Song

The data-driven transferable adversarial space

Yuan Liu, Stéphane Canu

Non-Oblivious Performance of Random Projections

Maciej Skorski, Alessandro Temperoni

Middle Code Prediction: Enhancing Code Generation for Uncommon Programming Languages in Robotics

Zixi Jia, Hongbin Gao, Hexiao Li

I Mean I Am a Mouse: meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models

yunzhe Liu, Xinyi Xu

Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory

Qiang Zhou, Sinno Jialin Pan

DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models

Zixi Jia, Jiqiang Liu, Hexiao Li, Qinghua Liu, Hongbin Gao

FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning

Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji

TSMCR: Two-stage Supervised Multi-modality Contrastive Representation for Ultrasound-based Breast Cancer Diagnosis

Bangming Gong

HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization

Dong Zhou, Binli Zeng, Nankai Lin, Yongmei Zhou, Aimin Yang

Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws

Huachen Tan, Moming Duan, Duo Liu, Haojie Lu, Yuexin Mu

Causal ATTention Multiple Instance Learning for Whole Slide Image Classification

Xiaochun Wu, Haitao Wang, Hejun Wu

RedditEM: Unveiling Diachronic Semantic Shifts in Social Network Discourse

Jiajun Zou, Sixing Wu, Jinshuai Yang, Minghu Jiang, Yongfeng Huang

AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement

Zhishuo Zhao, Dongyue Guo, Wenjie Ou, Hong Liu, Yi Lin

Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining

Sisi Fu, Zhiming Chen, Xiaocheng Fang, Jieyi Cai, Huanyu Liu

Multilevel Position-aware Attention Enhanced Network for Skeleton-Based Action Recognition

Dandan Zhang, Jia Wang, Sicong Zhan

Chain Association-based Attacking and Shielding Natural Language Processing Systems

Jiacheng Huang, Long Chen

Diffusion-based Adversarial Attack to Automatic Speech Recognition

Ying Wang, Yuchuan Luo, Shaojing Fu, Zhenyu Qiu, Lin Liu

Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance

Yudai Yamamoto, Satoshi Hara

FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion

Shuqiang Cai, Chennan Ma, Xin Wang, Li Lin, Ming Yan

InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries

Mengze Hong, Chen Jason Zhang, Lingxiao Yang, Yuanfeng Song, Di Jiang

PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning

Zheng Yuan, Qian Wan, Tao Zhang, Chengfu Huo

Multi-Task Network Guided Multimodal Fusion for Fake News Detection

Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang

GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data

Soumen Pachal, Avinash Achar, Nancy Bhutani, Akash Das

LPNER: Label Prompt for Few-shot Nested Named Entity Recognition

Jiaoyun Yang, Zhihan Zhu, Hong Ming, Lili Jiang, Ning An

ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba

Huiyu Zhai, Guang Jin, Xingxing Yang, Guosheng Kang

Improve Diverse Commonsense Generation by Enhancing Subgraphs

Jianman Tan, Shuo Yang

Vision Transformer with High Spatial Structure Sensitivity

Zhiwei Xu

Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes

Xuemin Wang, Lei Wang, Tianlong Gu, Xuguang Bao

Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence

Vencia Herzog, Stefan Suwelack

Dude: 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

Prompting vision-language fusion for Zero-Shot Composed Image Retrieval

Peng Wang, Zining Chen, Zhicheng Zhao, Fei Su

On the sample complexity of privately learning half-spaces

Yi Hsiang Huang, Wei-Hong Chen, Shi-Chun Tsai

Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models

Mengliang He, Aimin Zhou, Xiaoming Shi

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems

Xiangming Meng, Yoshiyuki Kabashima

Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior

Giang Ngo, Dang Nguyen, Sunil Gupta

Motion meets Attention: Video Motion Prompts

Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon

DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure

Junyi Ye, Mengnan Du, Guiling Wang

EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning

Siddharth Aravindan, Dixant Mittal, Wee Sun Lee

Hierarchical Global Asynchronous Federated Learning Across Multi-Center

Wei Xie, Runqun Xiong, Junzhou Luo

Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model

Longfei Huang, Xiangyu Wu, Jingyuan Wang, Weili Guo, Yang Yang

Joint learning of Gaussian graphical models in heterogeneous dependencies of high-dimensional transcriptomic data

Dung Ngoc Nguyen, Zitong Li

A Single-Stage Multi-Style License Plate Recognition Method Based on Attention

Longbin Wu, Sen Liu, Yufei Xie, Haowei Lee, Xiaohui Duan

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

FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity

Zaipeng Xie, Li Likun, Xiangbin Chen, Hao Yu, Qian Huang

Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning

Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang

MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures

JiaJun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin

A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information

Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang

IST-YOLO: Infrared Small Target Detector based on Improved YOLOv8

Ruoyu Wang, Bicao Li, Bei Wang, Danting Niu, Yongzhao Wang

Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations

Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min

Universal Video Face Restoration Method Based on Vision-Language Model

Yipiao Xu, Zhenbo Song, Jianfeng Lu

Towards Robust Saliency Maps

Nham Le, Arie Gurfinkel, Xujie Si, Chuqin Geng

Analyzing Diffusion Models on Synthesizing Training Datasets

Shin’ya Yamaguchi

Membership Inference Attacks Against Time-Series Models

Noam Koren, Abigail Goldsteen, Guy Amit, Ariel Farkash

FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning

Xiuhua Lu, Peng Li, Xuefeng Jiang

Constructing a Knowledge-Guided Mental Health Chatbot with LLMs

Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen

Combinatorial Causal Bandits without Graph Skeleton

Shi Feng, Nuoya Xiong, Wei Chen

One-Shot Machine Unlearning with Mnemonic Code

Tomoya Yamashita, Masanori Yamada, Takashi Shibata

Toward Data Efficient Model Merging between Different Datasets without Performance Degradation

Masanori Yamada, Tomoya Yamashita, Shin’ya Yamaguchi, Daiki Chijiwa

Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training

Yangwenjian Tan, Yikai Yan, Chaoyue Niu

Multi-Scale Dual-Attention Unfolding Network for Compressed Sensing Image Reconstruction

Liangjun Wang, Meixin Wang

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

Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting

Yang Xie, Qiao Liu, Rui Hou, Tingting Dai, Tian Lan

Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing

Ping Li, Mingwei Liang, Zhao Jiang, Jun Zhang

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction

Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du

Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL

Nicolas Bougie, Narimasa Watanabe

Large Vision-Language Models as Emotion Recognizers in Context Awareness

Yuxuan Lei, Dingkang Yang, Zhaoyu Chen, Jiawei Chen, Peng Zhai

When and How to Grow? On Efficient Pre-training via Model Growth

Jikai Wang, Juntao Li, Min Zhang, Zechang Li, Qingrong Xia

Visible-Infrared Person Re-Indentification via Feature Fusion and Deep Mutual Learning

Ziyang Lin, Banghai Wang

How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space

Yuanqu Mou, Zhengxue Jian, Haiyang Bai, Chang Gou

A More Efficient Inference Model for Multimodal Emotion Recognition

Liang Jia, Jin Tan, Lijin Qi, Mingwen Lin

A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification

Yu Yifan, Wang Dazhi, Chen Yanhua, Wang Hongfeng, Huang Min

Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing

Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang

Constrained Implicit Learning Framework for Neural Network Sparsification

Alicia Y. Tsai, Wenzhi Gao, Laurent Ghaoui

Asian Conference on Machine Learning: Preface

Vu Nguyen, Hsuan-tien Lin