Summary of Adaptive Learning Of the Latent Space Of Wasserstein Generative Adversarial Networks, by Yixuan Qiu et al.
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networksby Yixuan Qiu, Qingyi Gao,…
Summary of Jump Diffusion-informed Neural Networks with Transfer Learning For Accurate American Option Pricing Under Data Scarcity, by Qiguo Sun et al.
Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcityby…
Summary of Bridging Ood Detection and Generalization: a Graph-theoretic View, by Han Wang et al.
Bridging OOD Detection and Generalization: A Graph-Theoretic Viewby Han Wang, Yixuan LiFirst submitted to arxiv…
Summary of A Multi-source Data Power Load Forecasting Method Using Attention Mechanism-based Parallel Cnn-gru, by Chao Min et al.
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gruby Chao Min, Yijia…
Summary of Sample Compression Unleashed: New Generalization Bounds For Real Valued Losses, by Mathieu Bazinet et al.
Sample Compression Unleashed: New Generalization Bounds for Real Valued Lossesby Mathieu Bazinet, Valentina Zantedeschi, Pascal…
Summary of Benign Overfitting in Token Selection Of Attention Mechanism, by Keitaro Sakamoto and Issei Sato
Benign Overfitting in Token Selection of Attention Mechanismby Keitaro Sakamoto, Issei SatoFirst submitted to arxiv…
Summary of Data-efficient Trajectory Prediction Via Coreset Selection, by Ruining Yang and Lili Su
Data-efficient Trajectory Prediction via Coreset Selectionby Ruining Yang, Lili SuFirst submitted to arxiv on: 25…
Summary of Pace: Marrying Generalization in Parameter-efficient Fine-tuning with Consistency Regularization, by Yao Ni et al.
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationby Yao Ni, Shan Zhang, Piotr KoniuszFirst…
Summary of Neural Network Plasticity and Loss Sharpness, by Max Koster and Jude Kukla
Neural Network Plasticity and Loss Sharpnessby Max Koster, Jude KuklaFirst submitted to arxiv on: 25…
Summary of Non-asymptotic Convergence Of Training Transformers For Next-token Prediction, by Ruiquan Huang et al.
Non-asymptotic Convergence of Training Transformers for Next-token Predictionby Ruiquan Huang, Yingbin Liang, Jing YangFirst submitted…