Summary of Fast Forwarding Low-rank Training, by Adir Rahamim et al.
Fast Forwarding Low-Rank Trainingby Adir Rahamim, Naomi Saphra, Sara Kangaslahti, Yonatan BelinkovFirst submitted to arxiv…
Summary of Attentionx: Exploiting Consensus Discrepancy in Attention From a Distributed Optimization Perspective, by Guoqiang Zhang and Richard Heusdens
AttentionX: Exploiting Consensus Discrepancy In Attention from A Distributed Optimization Perspectiveby Guoqiang Zhang, Richard HeusdensFirst…
Summary of Warpadam: a New Adam Optimizer Based on Meta-learning Approach, by Chengxi Pan et al.
WarpAdam: A new Adam optimizer based on Meta-Learning approachby Chengxi Pan, Junshang Chen, Jingrui YeFirst…
Summary of Differentiable Discrete Event Simulation For Queuing Network Control, by Ethan Che et al.
Differentiable Discrete Event Simulation for Queuing Network Controlby Ethan Che, Jing Dong, Hongseok NamkoongFirst submitted…
Summary of Rethinking Deep Learning: Propagating Information in Neural Networks Without Backpropagation and Statistical Optimization, by Kei Itoh
Rethinking Deep Learning: Propagating Information in Neural Networks without Backpropagation and Statistical Optimizationby Kei ItohFirst…
Summary of A Physics-informed Machine Learning Approach For Solving Distributed Order Fractional Differential Equations, by Alireza Afzal Aghaei
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equationsby Alireza Afzal AghaeiFirst…
Summary of Cost Estimation in Unit Commitment Problems Using Simulation-based Inference, by Matthias Pirlet et al.
Cost Estimation in Unit Commitment Problems Using Simulation-Based Inferenceby Matthias Pirlet, Adrien Bolland, Gilles Louppe,…
Summary of On the Limited Generalization Capability Of the Implicit Reward Model Induced by Direct Preference Optimization, By Yong Lin et al.
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimizationby…
Summary of Towards Training Digitally-tied Analog Blocks Via Hybrid Gradient Computation, by Timothy Nest et al.
Towards training digitally-tied analog blocks via hybrid gradient computationby Timothy Nest, Maxence ErnoultFirst submitted to…
Summary of Improving Robustness to Multiple Spurious Correlations by Multi-objective Optimization, By Nayeong Kim et al.
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimizationby Nayeong Kim, Juwon Kang, Sungsoo Ahn,…