Summary of Saddle: Sharpness-aware Decentralized Deep Learning with Heterogeneous Data, by Sakshi Choudhary et al.
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Databy Sakshi Choudhary, Sai Aparna Aketi, Kaushik RoyFirst…
Summary of Mitigating Interference in the Knowledge Continuum Through Attention-guided Incremental Learning, by Prashant Bhat et al.
Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learningby Prashant Bhat, Bharath Renjith, Elahe…
Summary of Directmultistep: Direct Route Generation For Multi-step Retrosynthesis, by Yu Shee et al.
DirectMultiStep: Direct Route Generation for Multi-Step Retrosynthesisby Yu Shee, Haote Li, Anton Morgunov, Victor BatistaFirst…
Summary of Disentangle Sample Size and Initialization Effect on Perfect Generalization For Single-neuron Target, by Jiajie Zhao et al.
Disentangle Sample Size and Initialization Effect on Perfect Generalization for Single-Neuron Targetby Jiajie Zhao, Zhiwei…
Summary of Generalization Bounds For Dependent Data Using Online-to-batch Conversion, by Sagnik Chatterjee et al.
Generalization Bounds for Dependent Data using Online-to-Batch Conversionby Sagnik Chatterjee, Manuj Mukherjee, Alhad SethiFirst submitted…
Summary of Theoretical Analysis Of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees, by Cangqing Wang et al.
Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guaranteesby Cangqing Wang, Mingxiu Sui,…
Summary of Adversarial Training Via Adaptive Knowledge Amalgamation Of An Ensemble Of Teachers, by Shayan Mohajer Hamidi et al.
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachersby Shayan Mohajer Hamidi, Linfeng…
Summary of Adaptive Data Analysis For Growing Data, by Neil G. Marchant and Benjamin I. P. Rubinstein
Adaptive Data Analysis for Growing Databy Neil G. Marchant, Benjamin I. P. RubinsteinFirst submitted to…
Summary of Ada-hgnn: Adaptive Sampling For Scalable Hypergraph Neural Networks, by Shuai Wang et al.
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networksby Shuai Wang, David W. Zhang, Jia-Hong Huang,…
Summary of Comparative Analysis Of Different Efficient Fine Tuning Methods Of Large Language Models (llms) in Low-resource Setting, by Krishna Prasad Varadarajan Srinivasan et al.
Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource…