|
Workshop
|
|
Neural Differential Recurrent Neural Network with Adaptive Time Steps
Yixuan Tan · Liyan Xie · Xiuyuan Cheng
|
|
|
Workshop
|
|
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time
Yatin Dandi · Florent Krzakala · Bruno Loureiro · Luca Pesce · Ludovic Stephan
|
|
|
Workshop
|
|
Variance Reduced Model Based Methods: New rates and adaptive step sizes
Robert Gower · Frederik Kunstner · Mark Schmidt
|
|
|
Workshop
|
|
Diversity-adjusted adaptive step size
Parham Yazdkhasti · Xiaowen Jiang · Sebastian Stich
|
|
|
Poster
|
Wed 15:00
|
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Zhitong Gao · Shipeng Yan · Xuming He
|
|
|
Workshop
|
|
Adaptive Algorithms for Continuous-Time Transport: Homotopy-Driven Sampling and a New Interacting Particle System
Aimee Maurais · Youssef Marzouk
|
|
|
Poster
|
Wed 15:00
|
RDumb: A simple approach that questions our progress in continual test-time adaptation
Ori Press · Steffen Schneider · Steffen Schneider · Matthias Kümmerer · Matthias Bethge
|
|
|
Poster
|
Thu 8:45
|
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization
Jinxin Liu · Hongyin Zhang · Zifeng Zhuang · Yachen Kang · Donglin Wang · Bin Wang
|
|
|
Poster
|
Tue 8:45
|
Adaptive Test-Time Personalization for Federated Learning
Wenxuan Bao · Tianxin Wei · Haohan Wang · Jingrui He
|
|
|
Poster
|
Thu 15:00
|
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
Antoine Scardigli · Lukas Cavigelli · Lorenz K. Müller
|
|
|
Workshop
|
|
Adaptive Resolution Loss: An Efficient and Effective Loss for Time Series Hierarchical Contrastive Self-Supervised Learning Framework
Kevin Garcia · Juan Manuel Perez Jr · Yifeng Gao
|
|
|
Poster
|
Thu 8:45
|
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
Yiheng Lin · James A. Preiss · Emile Anand · Yingying Li · Yingying Li · Yisong Yue · Adam Wierman
|
|
