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Workshop
Controlling Forgetting with Test-Time Data in Continual Learning
Vaibhav Singh · Rahaf Aljundi · Eugene Belilovsky
Poster
Fri 16:30 A Continuous-time Stochastic Gradient Descent Method for Continuous Data
Kexin Jin · Jonas Latz · Chenguang Liu · Carola-Bibiane Schönlieb
Poster
Thu 16:30 PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics
Omead Pooladzandi · Sunay Bhat · Jeffrey Jiang · Alexander Branch · Gregory Pottie
Poster
Fri 11:00 Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
Zhihao Shu · Xiaowei Yu · Zihao Wu · Wenqi Jia · Yinchen Shi · Miao Yin · Tianming Liu · Dajiang Zhu · Wei Niu
Workshop
Sat 12:00 Mind the Gap: A Surgical Study on the Self-improvement Capabilities of LLMs
Yuda Song · Hanlin Zhang · Udaya Ghai · Carson Eisenach · Sham Kakade · Dean Foster
Workshop
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Jonas Hübotter · Sascha Bongni · Ido Hakimi · Andreas Krause
Workshop
Neural Operators as Fast Surrogate Models for the Transmission Loss of Parameterized Sonic Crystals
Jakob Wagner · Samuel Burbulla · Miguel de Benito Delgado · Johannes Schmid
Workshop
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Yuda Song · Hanlin Zhang · Udaya Ghai · Carson Eisenach · Sham Kakade · Dean Foster
Poster
Fri 16:30 HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
Haizhou Du · Yijian Chen · Ryan Yang · Yuchen Li · Linghe Kong
Workshop
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
Changhun Kim · Taewon Kim · Seungyeon Woo · June Yong Yang · Eunho Yang