"model ensembling" Papers

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Paper Type

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Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models

Lei Liu, Xingyu Xia, Qianqian Xie et al.

NEURIPS 2025

MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement

Jaehyun Nam, Jinsung Yoon, Jiefeng Chen et al.

NEURIPS 2025arXiv:2506.15692
9
citations

Revisiting Mode Connectivity in Neural Networks with Bezier Surface

Jie Ren, Pin-Yu Chen, Ren Wang

ICLR 2025
3
citations

TabArena: A Living Benchmark for Machine Learning on Tabular Data

Nick Erickson, Lennart Purucker, Andrej Tschalzev et al.

NEURIPS 2025spotlightarXiv:2506.16791
43
citations

Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching

Benjamin Minixhofer, Ivan Vulić, Edoardo Maria Ponti

NEURIPS 2025arXiv:2503.20083
15
citations

Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis

Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky et al.

ICML 2024arXiv:2407.05385
12
citations

Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs

Chandra Mouli Sekar, Danielle Robinson, Shima Alizadeh et al.

ICML 2024