Summary of Fedne: Surrogate-assisted Federated Neighbor Embedding For Dimensionality Reduction, by Ziwei Li et al.
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reductionby Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei…
Summary of Oneencoder: a Lightweight Framework For Progressive Alignment Of Modalities, by Bilal Faye et al.
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalitiesby Bilal Faye, Hanane Azzag, Mustapha LebbahFirst…
Summary of Motion Forecasting Via Model-based Risk Minimization, by Aron Distelzweig et al.
Motion Forecasting via Model-Based Risk Minimizationby Aron Distelzweig, Eitan Kosman, Andreas Look, Faris Janjoš, Denesh…
Summary of Bias Begets Bias: the Impact Of Biased Embeddings on Diffusion Models, by Sahil Kuchlous et al.
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Modelsby Sahil Kuchlous, Marvin Li,…
Summary of Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-person Action Recognition, by Cagri Gungor and Adriana Kovashka
Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognitionby Cagri Gungor, Adriana…
Summary of Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling, by Vivek Oommen et al.
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modelingby Vivek Oommen, Aniruddha…
Summary of Alignment with Preference Optimization Is All You Need For Llm Safety, by Reda Alami et al.
Alignment with Preference Optimization Is All You Need for LLM Safetyby Reda Alami, Ali Khalifa…
Summary of Alignment Of Diffusion Models: Fundamentals, Challenges, and Future, by Buhua Liu et al.
Alignment of Diffusion Models: Fundamentals, Challenges, and Futureby Buhua Liu, Shitong Shao, Bao Li, Lichen…
Summary of Semi-supervised Reward Modeling Via Iterative Self-training, by Yifei He et al.
Semi-Supervised Reward Modeling via Iterative Self-Trainingby Yifei He, Haoxiang Wang, Ziyan Jiang, Alexandros Papangelis, Han…
Summary of Adaptive Meta-domain Transfer Learning (amdtl): a Novel Approach For Knowledge Transfer in Ai, by Michele Laurelli
Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AIby Michele LaurelliFirst…