Summary of Verification Of Neural Networks’ Global Robustness, by Anan Kabaha et al.
Verification of Neural Networks’ Global Robustnessby Anan Kabaha, Dana Drachsler-CohenFirst submitted to arxiv on: 29…
Summary of Deep Learning For Cross-domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook, by Xingchen Zou et al.
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlookby Xingchen Zou,…
Summary of A Scalable and Transferable Time Series Prediction Framework For Demand Forecasting, by Young-jin Park et al.
A Scalable and Transferable Time Series Prediction Framework for Demand Forecastingby Young-Jin Park, Donghyun Kim,…
Summary of Structure Preserving Diffusion Models, by Haoye Lu et al.
Structure Preserving Diffusion Modelsby Haoye Lu, Spencer Szabados, Yaoliang YuFirst submitted to arxiv on: 29…
Summary of Griffin: Mixing Gated Linear Recurrences with Local Attention For Efficient Language Models, by Soham De et al.
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Modelsby Soham De, Samuel…
Summary of Differentially Private Worst-group Risk Minimization, by Xinyu Zhou et al.
Differentially Private Worst-group Risk Minimizationby Xinyu Zhou, Raef BassilyFirst submitted to arxiv on: 29 Feb…
Summary of Training Dynamics Of Multi-head Softmax Attention For In-context Learning: Emergence, Convergence, and Optimality, by Siyu Chen et al.
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimalityby Siyu Chen,…
Summary of Archer: Training Language Model Agents Via Hierarchical Multi-turn Rl, by Yifei Zhou et al.
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RLby Yifei Zhou, Andrea Zanette, Jiayi Pan,…
Summary of Heavy-tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models, by Frederik Kunstner et al.
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Modelsby Frederik Kunstner, Robin…
Summary of Listening to the Noise: Blind Denoising with Gibbs Diffusion, by David Heurtel-depeiges et al.
Listening to the Noise: Blind Denoising with Gibbs Diffusionby David Heurtel-Depeiges, Charles C. Margossian, Ruben…