ACML 2024 Conference Submissions

Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing
Ping Li, Mingwei Liang, Zhao Jiang, Jun Zhang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL
Nicolas Bougie, Narimasa Watanabe
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Large Vision-Language Models as Emotion Recognizers in Context Awareness
Yuxuan Lei, Dingkang Yang, Zhaoyu Chen, Jiawei Chen, Peng Zhai, Lihua Zhang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
When 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
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Visible-Infrared Person Re-Indentification via Feature Fusion and Deep Mutual Learning
Ziyang Lin, Banghai Wang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space
Yuanqu Mou, Zhengxue Jian, Haiyang Bai, Chang Gou
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
A More Efficient Inference Model for Multimodal Emotion Recognition
Liang Jia, Jin Tan, Lijin Qi, Mingwen Lin
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification
Yu Yifan, Wang Dazhi, Chen Yanhua, Wang Hongfeng, Huang Min
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing
Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone
Constrained Implicit Learning Framework for Neural Network Sparsification
Alicia Y. Tsai, Wenzhi Gao, Laurent Ghaoui
- Published: 05 Sept 2024, Last Modified: 16 Oct 2024
- ACML 2024 Conference Track
- Readers: Everyone