|
Poster
|
|
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
|
|
|
Poster
|
Thu 16:30
|
Enhancing Domain Adaptation through Prompt Gradient Alignment
Viet Hoang Phan · Tung Lam Tran · Quyen Tran · Trung Le
|
|
|
Poster
|
Wed 11:00
|
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake Snell · Gianluca Bencomo · Tom Griffiths
|
|
|
Poster
|
Thu 16:30
|
Federated Learning over Connected Modes
Dennis Grinwald · Philipp Wiesner · Shinichi Nakajima
|
|
|
Poster
|
Thu 16:30
|
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
Vijaya Raghavan Ramkumar · Elahe Arani · Bahram Zonooz
|
|
|
Poster
|
Fri 16:30
|
Scaling laws for learning with real and surrogate data
Ayush Jain · Andrea Montanari · Eren Sasoglu
|
|
|
Poster
|
Fri 11:00
|
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
Ethan Harvey · Mikhail Petrov · Michael Hughes
|
|
|
Poster
|
Wed 11:00
|
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
Baekrok Shin · Junsoo Oh · Hanseul Cho · Chulhee Yun
|
|
|
Poster
|
Fri 16:30
|
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective
Akiyoshi Tomihari · Issei Sato
|
|
|
Poster
|
Thu 16:30
|
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
Hanwen Zhong · Jiaxin Chen · Yutong Zhang · Di Huang · Yunhong Wang
|
|
|
Workshop
|
|
HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework
Yinuo Ren · Tesi Xiao · Michael Shavlovsky · Lexing Ying · Holakou Rahmanian
|
|
|
Workshop
|
|
Exploring Task Affinities through NTK Alignment and Early Training Dynamics in Multi-Task Learning
Yoann Morello · Emilie Grégoire · Sam Verboven
|
|
