Summary of Asymptotics Of Stochastic Gradient Descent with Dropout Regularization in Linear Models, by Jiaqi Li et al.
Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Modelsby Jiaqi Li, Johannes Schmidt-Hieber,…
Summary of A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges, by Guiliang Liu et al.
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challengesby Guiliang Liu, Sheng…
Summary of Online Graph Filtering Over Expanding Graphs, by Bishwadeep Das et al.
Online Graph Filtering Over Expanding Graphsby Bishwadeep Das, Elvin IsufiFirst submitted to arxiv on: 11…
Summary of Learning to Compress Contexts For Efficient Knowledge-based Visual Question Answering, by Weixi Weng et al.
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answeringby Weixi Weng, Jieming Zhu, Xiaojun…
Summary of Representation Tuning, by Christopher M. Ackerman
Representation Tuningby Christopher M. AckermanFirst submitted to arxiv on: 11 Sep 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Privacy-preserving Federated Learning with Consistency Via Knowledge Distillation Using Conditional Generator, by Kangyang Luo et al.
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generatorby Kangyang Luo, Shuai Wang,…
Summary of Cpsample: Classifier Protected Sampling For Guarding Training Data During Diffusion, by Joshua Kazdan et al.
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusionby Joshua Kazdan, Hao Sun, Jiaqi…
Summary of Adaptive Error-bounded Hierarchical Matrices For Efficient Neural Network Compression, by John Mango and Ronald Katende
Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compressionby John Mango, Ronald KatendeFirst submitted to…
Summary of A Primer on Variational Inference For Physics-informed Deep Generative Modelling, by Alex Glyn-davies et al.
A Primer on Variational Inference for Physics-Informed Deep Generative Modellingby Alex Glyn-Davies, Arnaud Vadeboncoeur, O.…
Summary of Dipt: Enhancing Llm Reasoning Through Diversified Perspective-taking, by Hoang Anh Just et al.
DiPT: Enhancing LLM reasoning through diversified perspective-takingby Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming…