ICLR Poster "hyperparameter optimization" Papers

7 papers found

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Accelerating neural network training: An analysis of the AlgoPerf competition

Priya Kasimbeg, Frank Schneider, Runa Eschenhagen et al.

ICLR 2025posterarXiv:2502.15015
17
citations

A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules

Kairong Luo, Haodong Wen, Shengding Hu et al.

ICLR 2025posterarXiv:2503.12811
13
citations

FreSh: Frequency Shifting for Accelerated Neural Representation Learning

Adam Kania, Marko Mihajlovic, Sergey Prokudin et al.

ICLR 2025posterarXiv:2410.05050
7
citations

(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning

Margaret Li, Sneha Kudugunta, Luke Zettlemoyer

ICLR 2025poster
9
citations

qNBO: quasi-Newton Meets Bilevel Optimization

Sheng Fang, Yongjin Liu, Wei Yao et al.

ICLR 2025posterarXiv:2502.01076
1
citations

The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited

Floriano Tori, Vincent Holst, Vincent Ginis

ICLR 2025posterarXiv:2407.09381
8
citations

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs

Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang et al.

ICLR 2025posterarXiv:2412.13337
30
citations