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Poster
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Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
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Poster
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Thu 16:30
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Federated Learning over Connected Modes
Dennis Grinwald · Philipp Wiesner · Shinichi Nakajima
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Poster
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Fri 16:30
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Scaling laws for learning with real and surrogate data
Ayush Jain · Andrea Montanari · Eren Sasoglu
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Poster
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Thu 16:30
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Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
Vijaya Raghavan Ramkumar · Elahe Arani · Bahram Zonooz
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Poster
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Fri 11:00
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Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
Ethan Harvey · Mikhail Petrov · Michael Hughes
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Poster
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Thu 11:00
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Assemblage: Automatic Binary Dataset Construction for Machine Learning
Chang Liu · Rebecca Saul · Yihao Sun · Edward Raff · Maya Fuchs · Townsend Southard Pantano · James Holt · Kristopher Micinski
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Poster
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Fri 16:30
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Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective
Akiyoshi Tomihari · Issei Sato
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Poster
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Wed 11:00
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DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
Baekrok Shin · Junsoo Oh · Hanseul Cho · Chulhee Yun
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Poster
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Thu 16:30
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Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
Hanwen Zhong · Jiaxin Chen · Yutong Zhang · Di Huang · Yunhong Wang
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Workshop
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HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework
Yinuo Ren · Tesi Xiao · Michael Shavlovsky · Lexing Ying · Holakou Rahmanian
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Workshop
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Exploring Task Affinities through NTK Alignment and Early Training Dynamics in Multi-Task Learning
Yoann Morello · Emilie Grégoire · Sam Verboven
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Poster
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Wed 16:30
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On the Stability and Generalization of Meta-Learning
Yunjuan Wang · Raman Arora
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