Summary of Sharpness-aware Minimization Efficiently Selects Flatter Minima Late in Training, by Zhanpeng Zhou et al.
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Trainingby Zhanpeng Zhou, Mingze Wang, Yuchen Mao,…
Summary of Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal, by Juliusz Ziomek et al.
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimalby Juliusz Ziomek, Masaki Adachi,…
Summary of A Stochastic Approach to Bi-level Optimization For Hyperparameter Optimization and Meta Learning, by Minyoung Kim et al.
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learningby Minyoung Kim, Timothy…
Summary of Gaussian Mixture Vector Quantization with Aggregated Categorical Posterior, by Mingyuan Yan et al.
Gaussian Mixture Vector Quantization with Aggregated Categorical Posteriorby Mingyuan Yan, Jiawei Wu, Rushi Shah, Dianbo…
Summary of Predicting From Strings: Language Model Embeddings For Bayesian Optimization, by Tung Nguyen et al.
Predicting from Strings: Language Model Embeddings for Bayesian Optimizationby Tung Nguyen, Qiuyi Zhang, Bangding Yang,…
Summary of Fed-pilot: Optimizing Lora Assignment For Efficient Federated Foundation Model Fine-tuning, by Zikai Zhang et al.
Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuningby Zikai Zhang, Jiahao Xu, Ping…
Summary of Learning Via Surrogate Pac-bayes, by Antoine Picard-weibel and Roman Moscoviz and Benjamin Guedj
Learning via Surrogate PAC-Bayesby Antoine Picard-Weibel, Roman Moscoviz, Benjamin GuedjFirst submitted to arxiv on: 14…
Summary of Eitnet: An Iot-enhanced Framework For Real-time Basketball Action Recognition, by Jingyu Liu et al.
EITNet: An IoT-Enhanced Framework for Real-Time Basketball Action Recognitionby Jingyu Liu, Xinyu Liu, Mingzhe Qu,…
Summary of Tapweight: Reweighting Pretraining Objectives For Task-adaptive Pretraining, by Ruiyi Zhang et al.
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretrainingby Ruiyi Zhang, Sai Ashish Somayajula, Pengtao XieFirst submitted…
Summary of Divide, Reweight, and Conquer: a Logit Arithmetic Approach For In-context Learning, by Chengsong Huang et al.
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learningby Chengsong Huang, Langlin Huang,…