Summary of To Bootstrap or to Rollout? An Optimal and Adaptive Interpolation, by Wenlong Mou and Jian Qian
To bootstrap or to rollout? An optimal and adaptive interpolationby Wenlong Mou, Jian QianFirst submitted…
Summary of Modeling Adagrad, Rmsprop, and Adam with Integro-differential Equations, by Carlos Heredia
Modeling AdaGrad, RMSProp, and Adam with Integro-Differential Equationsby Carlos HerediaFirst submitted to arxiv on: 14…
Summary of Adversarial Attacks Using Differentiable Rendering: a Survey, by Matthew Hull et al.
Adversarial Attacks Using Differentiable Rendering: A Surveyby Matthew Hull, Chao Zhang, Zsolt Kira, Duen Horng…
Summary of Rethinking Weight-averaged Model-merging, by Hu Wang et al.
Rethinking Weight-Averaged Model-mergingby Hu Wang, Congbo Ma, Ibrahim Almakky, Ian Reid, Gustavo Carneiro, Mohammad YaqubFirst…
Summary of A Centralized-distributed Transfer Model For Cross-domain Recommendation Based on Multi-source Heterogeneous Transfer Learning, by Ke Xu et al.
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learningby Ke Xu,…
Summary of How Good Is Chatgpt at Audiovisual Deepfake Detection: a Comparative Study Of Chatgpt, Ai Models and Human Perception, by Sahibzada Adil Shahzad et al.
How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models…
Summary of Compression Method For Solar Polarization Spectra Collected From Hinode Sot/sp Observations, by Jargalmaa Batmunkh et al.
Compression Method for Solar Polarization Spectra Collected from Hinode SOT/SP Observationsby Jargalmaa Batmunkh, Yusuke Iida,…
Summary of Approximate Probabilistic Inference For Time-series Data a Robust Latent Gaussian Model with Temporal Awareness, by Anton Johansson et al.
Approximate Probabilistic Inference for Time-Series Data A Robust Latent Gaussian Model With Temporal Awarenessby Anton…
Summary of Pie: Pooling Cpu Memory For Llm Inference, by Yi Xu et al.
Pie: Pooling CPU Memory for LLM Inferenceby Yi Xu, Ziming Mao, Xiangxi Mo, Shu Liu,…
Summary of Approximated Variational Bayesian Inverse Reinforcement Learning For Large Language Model Alignment, by Yuang Cai et al.
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignmentby Yuang Cai, Yuyu Yuan,…