CPAL 2024 Conference Submissions

Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds
Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung
- Published: 20 Nov 2023, Last Modified: 07 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
How to Prune Your Language Model: Recovering Accuracy on the ``Sparsity May Cry'' Benchmark
Eldar Kurtic, Torsten Hoefler, Dan Alistarh
- Published: 20 Nov 2023, Last Modified: 21 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Daouda Sow, Sen Lin, Yingbin Liang, Junshan Zhang
- Published: 20 Nov 2023, Last Modified: 21 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Leveraging Sparse Input and Sparse Models: Efficient Distributed Learning in Resource-Constrained Environments
Emmanouil Kariotakis, Grigorios Tsagkatakis, Panagiotis Tsakalides, Anastasios Kyrillidis
- Published: 20 Nov 2023, Last Modified: 02 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release
Donghao Li, Yang Cao, Yuan Yao
- Published: 20 Nov 2023, Last Modified: 03 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
FIXED: Frustratingly Easy Domain Generalization with Mixup
Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie
- Published: 20 Nov 2023, Last Modified: 01 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Deep Self-expressive Learning
Chen Zhao, Chun-Guang Li, Wei He, Chong You
- Published: 20 Nov 2023, Last Modified: 06 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning
Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
- Published: 20 Nov 2023, Last Modified: 05 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Closed-Loop Transcription via Convolutional Sparse Coding
Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel Ni, Yi Ma
- Published: 20 Nov 2023, Last Modified: 05 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
HARD: Hyperplane ARrangement Descent
Tianjiao Ding, Liangzu Peng, Rene Vidal
- Published: 20 Nov 2023, Last Modified: 06 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
PC-X: Profound Clustering via Slow Exemplars
Yuangang Pan, Yinghua Yao, Ivor Tsang
- Published: 20 Nov 2023, Last Modified: 01 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Piecewise-Linear Manifolds for Deep Metric Learning
Shubhang Bhatnagar, Narendra Ahuja
- Published: 20 Nov 2023, Last Modified: 26 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
WS-iFSD: Weakly Supervised Incremental Few-shot Object Detection Without Forgetting
Xinyu Gong, Li Yin, Juan-Manuel Perez-Rua, Zhangyang Wang, Zhicheng Yan
- Published: 20 Nov 2023, Last Modified: 05 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
An Adaptive Tangent Feature Perspective of Neural Networks
Daniel LeJeune, Sina Alemohammad
- Published: 20 Nov 2023, Last Modified: 01 Feb 2024
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN
Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Eric Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang
- Published: 20 Nov 2023, Last Modified: 02 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar, Decebal Constantin Mocanu, Joaquin Vanschoren
- Published: 20 Nov 2023, Last Modified: 10 Apr 2024
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Less is More – Towards parsimonious multi-task models using structured sparsity
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
- Published: 20 Nov 2023, Last Modified: 03 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Sparse Activations with Correlated Weights in Cortex-Inspired Neural Networks
Chanwoo Chun, Daniel Lee
- Published: 20 Nov 2023, Last Modified: 06 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Materials Science Benchmark and A Sparsity-Oriented Optimization Framework
Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
- Published: 20 Nov 2023, Last Modified: 05 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Shuren He, Bani Mallick
- Published: 20 Nov 2023, Last Modified: 05 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Deep Leakage from Model in Federated Learning
Zihao Zhao, Mengen Luo, Wenbo Ding
- Published: 20 Nov 2023, Last Modified: 08 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Jaxpruner: A Concise Library for Sparsity Research
Joo Hyung Lee, Wonpyo Park, Nicole Elyse Mitchell, Jonathan Pilault, Johan Samir Obando Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Woohyun Han, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart J.C. Bik, Milen Ferev, Zhonglin Han et al. (5 additional authors not shown)
- Published: 20 Nov 2023, Last Modified: 05 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Emergence of Segmentation with Minimalistic White-Box Transformers
Yaodong Yu, Tianzhe Chu, Shengbang Tong, Ziyang Wu, Druv Pai, Sam Buchanan, Yi Ma
- Published: 20 Nov 2023, Last Modified: 19 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training
Haoyu Ma, Chengming Zhang, lizhi xiang, Xiaolong Ma, Geng Yuan, Wenkai Zhang, Shiwei Liu, Tianlong Chen, Dingwen Tao, Yanzhi Wang, Zhangyang Wang, Xiaohui Xie
- Published: 20 Nov 2023, Last Modified: 05 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone
Sparse Fréchet sufficient dimension reduction via nonconvex optimization
Jiaying Weng, Chenlu Ke, Pei Wang
- Published: 20 Nov 2023, Last Modified: 06 Dec 2023
- CPAL 2024 (Proceedings Track) Oral
- Readers: Everyone