CPAL 2025 Proceedings Track Submissions

Do Global and Local Perform Cooperatively or Adversarially in Heterogeneous Federated Learning?
Huiwen Wu, Shuo Zhang
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration
Xue Feng, M. Paul Laiu, Thomas Strohmer
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time
Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Oral
- Readers: Everyone
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation
Tao Wen, Elynn Chen, Yuzhou Chen, Qi Lei
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
A Case Study of Low Ranked Self-Expressive Structures in Neural Network Representations
Uday Singh Saini, William Shiao, Yahya Sattar, Yogesh Dahiya, Samet Oymak, Evangelos E. Papalexakis
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Oral
- Readers: Everyone
AdaProx: A Novel Method for Bilevel Optimization under Pessimistic Framework
Ziwei Guan, Daouda Sow, Sen Lin, Yingbin Liang
- Published: 11 Feb 2025, Last Modified: 14 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Meta ControlNet: Enhancing Task Adaptation via Meta Learning
Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining
Jianwei Li, Yijun Dong, Qi Lei
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
SGD with Weight Decay Secretly Minimizes the Ranks of Your Neural Networks
Tomer Galanti, Zachary S Siegel, Aparna Gupte, Tomaso A Poggio
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Streaming Kernel PCA Algorithm With Small Space
Yichuan Deng, Jiangxuan Long, Zhao Song, Zifan Wang, Han Zhang
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Vanishing Feature: Diagnosing Model Merging and Beyond
Xingyu Qu, Samuel Horváth
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Oral
- Readers: Everyone
Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering
Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
RecCrysFormer: Refined Protein Structural Prediction from 3D Patterson Maps via Recycling Training Runs
Tom Pan, Evan Dramko, Mitchell D. Miller, George N Phillips Jr., Anastasios Kyrillidis
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Provable Model-Parallel Distributed Principal Component Analysis with Parallel Deflation
Fangshuo Liao, Wenyi Su, Anastasios Kyrillidis
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Fast and Efficient Matching Algorithm with Deadline Instances
Zhao Song, Weixin Wang, Chenbo Yin, Junze Yin
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Grouped Sequential Optimization Strategy - the Application of Hyperparameter Importance Assessment in Deep Learning
Ruinan Wang, Ian T. Nabney, MOHAMMAD GOLBABAEE
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Collaborative and Efficient Personalization with Mixtures of Adaptors
Abdulla Jasem Almansoori, Samuel Horváth, Martin Takáč
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
A Validation Approach to Over-parameterized Matrix and Image Recovery
Lijun Ding, Zhen Qin, Liwei Jiang, Jinxin Zhou, Zhihui Zhu
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization
DONGWEI WANG, Huanrui Yang
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Improving Neuron-level Interpretability with White-box Language Models
Hao Bai, Yi Ma
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Oral
- Readers: Everyone
The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity
Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Oral
- Readers: Everyone
Adversarially Robust Spiking Neural Networks with Sparse Connectivity
Mathias Schmolli, Maximilian Baronig, Robert Legenstein, Ozan Ozdenizci
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond
Yekun Ke, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone
Fast John Ellipsoid Computation with Differential Privacy Optimization
Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Junwei Yu
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Oral
- Readers: Everyone
HSR-Enhanced Sparse Attention Acceleration
Bo Chen, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
- Published: 11 Feb 2025, Last Modified: 06 Mar 2025
- CPAL 2025 (Proceedings Track) Poster
- Readers: Everyone