Summary of High Confidence Level Inference Is Almost Free Using Parallel Stochastic Optimization, by Wanrong Zhu et al.
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimizationby Wanrong Zhu, Zhipeng Lou,…
Summary of Mada: Meta-adaptive Optimizers Through Hyper-gradient Descent, by Kaan Ozkara et al.
MADA: Meta-Adaptive Optimizers through hyper-gradient Descentby Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham…
Summary of Bridging State and History Representations: Understanding Self-predictive Rl, by Tianwei Ni et al.
Bridging State and History Representations: Understanding Self-Predictive RLby Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel…
Summary of Stochastic Subnetwork Annealing: a Regularization Technique For Fine Tuning Pruned Subnetworks, by Tim Whitaker et al.
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworksby Tim Whitaker, Darrell WhitleyFirst…
Summary of X Hacking: the Threat Of Misguided Automl, by Rahul Sharma et al.
X Hacking: The Threat of Misguided AutoMLby Rahul Sharma, Sergey Redyuk, Sumantrak Mukherjee, Andrea Sipka,…
Summary of Boosting Gradient Ascent For Continuous Dr-submodular Maximization, by Qixin Zhang et al.
Boosting Gradient Ascent for Continuous DR-submodular Maximizationby Qixin Zhang, Zongqi Wan, Zengde Deng, Zaiyi Chen,…
Summary of Exploiting Inter-layer Expert Affinity For Accelerating Mixture-of-experts Model Inference, by Jinghan Yao et al.
Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model Inferenceby Jinghan Yao, Quentin Anthony, Aamir Shafi,…
Summary of Gd Doesn’t Make the Cut: Three Ways That Non-differentiability Affects Neural Network Training, by Siddharth Krishna Kumar
GD doesn’t make the cut: Three ways that non-differentiability affects neural network trainingby Siddharth Krishna…
Summary of Cyclight: Learning Traffic Signal Cooperation with a Cycle-level Strategy, by Gengyue Han et al.
CycLight: learning traffic signal cooperation with a cycle-level strategyby Gengyue Han, Xiaohan Liu, Xianyue Peng,…
Summary of Efficient and Mathematically Robust Operations For Certified Neural Networks Inference, by Fabien Geyer et al.
Efficient and Mathematically Robust Operations for Certified Neural Networks Inferenceby Fabien Geyer, Johannes Freitag, Tobias…