Summary of Omnipred: Language Models As Universal Regressors, by Xingyou Song et al.
OmniPred: Language Models as Universal Regressorsby Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi…
Summary of Take the Bull by the Horns: Hard Sample-reweighted Continual Training Improves Llm Generalization, By Xuxi Chen et al.
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalizationby Xuxi Chen,…
Summary of Linear Transformers Are Versatile In-context Learners, by Max Vladymyrov et al.
Linear Transformers are Versatile In-Context Learnersby Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong GeFirst…
Summary of D-flow: Differentiating Through Flows For Controlled Generation, by Heli Ben-hamu et al.
D-Flow: Differentiating through Flows for Controlled Generationby Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer,…
Summary of The Expected Loss Of Preconditioned Langevin Dynamics Reveals the Hessian Rank, by Amitay Bar et al.
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rankby Amitay Bar, Rotem Mulayoff,…
Summary of Neural Control System For Continuous Glucose Monitoring and Maintenance, by Azmine Toushik Wasi
Neural Control System for Continuous Glucose Monitoring and Maintenanceby Azmine Toushik WasiFirst submitted to arxiv…
Summary of Dealing with Unbounded Gradients in Stochastic Saddle-point Optimization, by Gergely Neu et al.
Dealing with unbounded gradients in stochastic saddle-point optimizationby Gergely Neu, Nneka OkoloFirst submitted to arxiv…
Summary of Flexhb: a More Efficient and Flexible Framework For Hyperparameter Optimization, by Yang Zhang et al.
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimizationby Yang Zhang, Haiyang Wu, Yuekui…
Summary of Algoformer: An Efficient Transformer Framework with Algorithmic Structures, by Yihang Gao et al.
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structuresby Yihang Gao, Chuanyang Zheng, Enze Xie, Han…
Summary of Transformer Tricks: Precomputing the First Layer, by Nils Graef
Transformer tricks: Precomputing the first layerby Nils GraefFirst submitted to arxiv on: 20 Feb 2024CategoriesMain:…