Summary of [re] Network Deconvolution, by Rochana R. Obadage et al.
[Re] Network Deconvolutionby Rochana R. Obadage, Kumushini Thennakoon, Sarah M. Rajtmajer, Jian WuFirst submitted to…
[Re] Network Deconvolutionby Rochana R. Obadage, Kumushini Thennakoon, Sarah M. Rajtmajer, Jian WuFirst submitted to…
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Revisiting Essential and Nonessential Settings of Evidential Deep Learningby Mengyuan Chen, Junyu Gao, Changsheng XuFirst…
The Perfect Blend: Redefining RLHF with Mixture of Judgesby Tengyu Xu, Eryk Helenowski, Karthik Abinav…
Constraint Guided Model Quantization of Neural Networksby Quinten Van Baelen, Peter KarsmakersFirst submitted to arxiv…
Scaling Optimal LR Across Token Horizonsby Johan Bjorck, Alon Benhaim, Vishrav Chaudhary, Furu Wei, Xia…
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learningby Jannis Becktepe, Julian Dierkes,…
Spectral Wavelet Dropout: Regularization in the Wavelet Domainby Rinor Cakaj, Jens Mehnert, Bin YangFirst submitted…
A Survey on Neural Architecture Search Based on Reinforcement Learningby Wenzhu ShaoFirst submitted to arxiv…