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102 Results
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Workshop
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FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong · Ruochen Wang · Minhao Cheng · Felix Yu · Cho-Jui Hsieh |
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Workshop
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Neural Network Online Training with Sensitivity to Multiscale Temporal Structure Matt Jones · Tyler Scott · Gamaleldin Elsayed · Mengye Ren · Katherine Hermann · David Mayo · Michael Mozer |
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Workshop
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A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? Théo Morales · Gerard Lacey |
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Poster
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Tue 9:00 |
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts Neeraj Wagh · Jionghao Wei · Samarth Rawal · Brent M Berry · Yogatheesan Varatharajah |
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Poster
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Wed 14:00 |
Environment Diversification with Multi-head Neural Network for Invariant Learning Bo-Wei Huang · Keng-Te Liao · Chang-Sheng Kao · Shou-De Lin |
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Poster
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Tue 14:00 |
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization Laurent Condat · Kai Yi · Peter Richtarik |
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Poster
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Wed 14:00 |
Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie Chan · Adam Santoro · Andrew Lampinen · Jane Wang · Aaditya Singh · Pierre Richemond · James McClelland · Felix Hill |
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Affinity Workshop
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FacEDiM: A Face Embedding Distribution Model for Few-Shot Biometric Authentication of Cattle Meshia Cédric Oveneke · Rucha Vaishampayan · Deogratias Lukamba Nsadisa · Rucha Vaishampayan |
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Workshop
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Sat 7:35 |
Machine-learning, distribution shifts and extrapolation in the Earth System Markus Reichstein |
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Poster
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Thu 14:00 |
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park · Yooju Shin · Jihwan Bang · Youngjun Lee · Hwanjun Song · Jae-Gil Lee |
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Poster
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Wed 14:00 |
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression Lechao Xiao · Hong Hu · Theodor Misiakiewicz · Yue Lu · Jeffrey Pennington |
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Workshop
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Extracting Structural Motifs from Pair Distribution Function Data of Nanostructures using Explainable Machine Learning Andy S. Anker · Emil Thyge Skaaning Kjær · Mikkel Juelsholt · Troels Christiansen · Susanne Skjærvø · Mads Jørgensen · Innokenty Kantor · Daniel Sørensen · Simon J. L. Billinge · Raghavendra Selvan · Kirsten Jensen |