Friday, July 22, 2022

Location: TBA

All times are in ET

09:00 AM - 09:15 AM Welcome
09:15 AM - 10:00 AM Keynote Spatially and Temporally Adaptive Neural Networks
Gao Huang, Tsinghua University
10:00 AM - 10:30 AM Invited Talk Where to look next ? Different strategies for image exploration under partial observability.
Tinne Tuytelaars, KU Leuven
10:30 AM - 11:00 AM Invited Talk Incorporating Dynamic Structures into Pre-trained Language Models
Xuanjing Huang, Fudan University
11:00 AM - 11:15 AM Contributed Talk Does Continual Learning Equally Forget All Parameters?
Haiyan Zhao
11:15 AM - 11:30 AM Contributed Talk PA-GNN: Parameter-Adaptive Graph Neural Networks
Yuxin Yang
11:30 AM - 11:45 AM Contributed Talk Triangular Dropout: Variable Network Width without Retraining
Edward Staley
11:45 AM - 12:00 PM Contributed Talk A Theoretical View on Sparsely Activated Networks
Nishanth Dikkala
12.00 PM - 13:30 PM Lunch Break
13:30 PM - 14:30 PM Discussion Panel Dynamic Neural Network: Present and Future
Tal Schuster, Andrea Gesmundo, Razvan Pascanu, Yanzhi Wang
14:30 PM - 15:15 PM Keynote Organizing memories for generalization in complementary learning systems
Weinan Sun, Janelia Research Campus
15.15 PM - 16:15 PM Poster Session
16:15 PM - 16:45 PM Invited Talk Deriving modular inductive biases from the principle of independent mechanisms
Francesco Locatello, AWS AI
16:45 AM - 17:00 PM Contributed Talk Supernet Training for Federated Image Classification
Taehyeon Kim
17:00 PM - 17:15 PM Contributed Talk Achieving High TinyML Accuracy through Selective Cloud Interactions
Anil Kag
17:15 PM - 17:30 PM Contributed Talk Slimmable Quantum Federated Learning
Won Joon Yun
17:30 PM - 17:45 PM Contributed Talk Sparse Relational Reasoning with Object-centric Representations
Alex F Spies
17:45 PM - 18:00 PM Contributed Talk Play It Cool: Dynamic Shifting Prevents Thermal Throttling
Yang Zhou
18:00 PM - 18:15 PM Contributed Talk Efficient Sparsely Activated Transformers
Salar Latifi
18.15 PM - 8:00 PM Closing Remarks and Happy Hour