ICML 2023 Workshop LLW Submissions

Decentralized Plasticity in Reservoir Dynamical Networks for Pervasive Environments
Valerio De Caro, Davide Bacciu, Claudio Gallicchio
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Learning Recurrent Models with Temporally Local Rules
Azwar Abdulsalam, Joseph G. Makin
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Metric Compatible Training for Online Backfilling in Large-Scale Retrieval
Seonguk Seo, Mustafa Uzunbas, Bohyung Han, Xuefei Cao, Joena Zhang, Taipeng Tian, Ser-Nam Lim
- Published: 16 Jun 2023, Last Modified: 07 Aug 2023
- ICML LLW 2023
- Readers: Everyone
Towards Modular Machine Learning Pipelines
Aditya Modi, Jivat Neet Kaur, Maggie Makar, Pavan Mallapragada, Amit Sharma, Emre Kiciman, Adith Swaminathan
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, shixian wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti
- Published: 16 Jun 2023, Last Modified: 18 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Internet Learning: Preliminary Steps Towards Highly Fault-Tolerant Learning on Device Networks
Surojit Ganguli, Avi Amalanshu, Amritanshu Ranjan, David I. Inouye
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
Jiong Zhu, Aishwarya Naresh Reganti, Edward W Huang, Charles Andrew Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Co-Dream: Collaborative data synthesis with decentralized models
Abhishek Singh, Gauri Gupta, Charles Lu, Yogesh Koirala, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Energy-Based Learning Algorithms: A Comparative Study
Benjamin Scellier, Maxence Ernoult, Jack Kendall, Suhas Kumar
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Associative memory and deep learning with Hebbian synaptic and structural plasticity
Naresh Ravichandran, Anders Lansner, Pawel Herman
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Dataset Pruning Using Early Exit Networks
Alperen Gormez, Erdem Koyuncu
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
Rasmus Høier, D. Staudt, Christopher Zach
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
MOLE: MOdular Learning FramEwork via Mutual Information Maximization
Tianchao Li, Yulong Pei
- Published: 16 Jun 2023, Last Modified: 06 Aug 2023
- ICML LLW 2023
- Readers: Everyone
Preventing Dimensional Collapse in Contrastive Local Learning with Subsampling
Louis Fournier, Adeetya Patel, Michael Eickenberg, Edouard Oyallon, Eugene Belilovsky
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
The Local Inconsistency Resolution Algorithm
Oliver Ethan Richardson
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information
Seongsik Park, Jeonghee Jo, Jongkil Park, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Joon young Kwak, Inho Kim, Jong-keuk Park, Kyeong seok Lee, Hwang gyu Weon, Hyun Jae Jang
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation
Qiwen Cui, Kaiqing Zhang, Simon Shaolei Du
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Understanding Predictive Coding as a Second-Order Trust-Region Method
Francesco Innocenti, Ryan Singh, Christopher Buckley
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training
Yanis Bahroun, Shagesh Sridharan, Atithi Acharya, Dmitri Chklovskii, Anirvan M. Sengupta
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Beyond weight plasticity: Local learning with propagation delays in spiking neural networks
Jørgen Jensen Farner, Ola Huse Ramstad, Stefano Nichele, Kristine Heiney
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Auto-Aligning Multiagent Incentives with Global Objectives
Minae Kwon, John P Agapiou, Edgar A. Duéñez-Guzmán, Romuald Elie, Georgios Piliouras, Kalesha Bullard, Ian Gemp
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone
Layer-Wise Feedback Alignment is Conserved in Deep Neural Networks
Zachary Robertson, Sanmi Koyejo
- Published: 16 Jun 2023, Last Modified: 17 Jul 2023
- ICML LLW 2023
- Readers: Everyone