Summary of Provable Accuracy Bounds For Hybrid Dynamical Optimization and Sampling, by Matthew X. Burns et al.
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Samplingby Matthew X. Burns, Qingyuan Hou, Michael…
Summary of Automating Data Science Pipelines with Tensor Completion, by Shaan Pakala et al.
Automating Data Science Pipelines with Tensor Completionby Shaan Pakala, Bryce Graw, Dawon Ahn, Tam Dinh,…
Summary of Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning, by Lequan Lin et al.
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuningby Lequan Lin, Dai…
Summary of Negmerge: Consensual Weight Negation For Strong Machine Unlearning, by Hyoseo Kim et al.
NegMerge: Consensual Weight Negation for Strong Machine Unlearningby Hyoseo Kim, Dongyoon Han, Junsuk ChoeFirst submitted…
Summary of Swift Sampler: Efficient Learning Of Sampler by 10 Parameters, By Jiawei Yao et al.
Swift Sampler: Efficient Learning of Sampler by 10 Parametersby Jiawei Yao, Chuming Li, Canran XiaoFirst…
Summary of Fresh: Frequency Shifting For Accelerated Neural Representation Learning, by Adam Kania et al.
FreSh: Frequency Shifting for Accelerated Neural Representation Learningby Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek…
Summary of The Optimization Landscape Of Sgd Across the Feature Learning Strength, by Alexander Atanasov et al.
The Optimization Landscape of SGD Across the Feature Learning Strengthby Alexander Atanasov, Alexandru Meterez, James…
Summary of Improving Neural Optimal Transport Via Displacement Interpolation, by Jaemoo Choi et al.
Improving Neural Optimal Transport via Displacement Interpolationby Jaemoo Choi, Yongxin Chen, Jaewoong ChoiFirst submitted to…
Summary of Training Over a Distribution Of Hyperparameters For Enhanced Performance and Adaptability on Imbalanced Classification, by Kelsey Lieberman et al.
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classificationby Kelsey…
Summary of Scalable Reinforcement Learning-based Neural Architecture Search, by Amber Cassimon et al.
Scalable Reinforcement Learning-based Neural Architecture Searchby Amber Cassimon, Siegfried Mercelis, Kevin MetsFirst submitted to arxiv…