Summary of Nv-embed: Improved Techniques For Training Llms As Generalist Embedding Models, by Chankyu Lee et al.
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Modelsby Chankyu Lee, Rajarshi Roy, Mengyao…
Summary of Smoke and Mirrors in Causal Downstream Tasks, by Riccardo Cadei et al.
Smoke and Mirrors in Causal Downstream Tasksby Riccardo Cadei, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid,…
Summary of Spectral Regularization For Adversarially-robust Representation Learning, by Sheng Yang et al.
Spectral regularization for adversarially-robust representation learningby Sheng Yang, Jacob A. Zavatone-Veth, Cengiz PehlevanFirst submitted to…
Summary of Diffusion Bridge Autoencoders For Unsupervised Representation Learning, by Yeongmin Kim et al.
Diffusion Bridge AutoEncoders for Unsupervised Representation Learningby Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na,…
Summary of Se3set: Harnessing Equivariant Hypergraph Neural Networks For Molecular Representation Learning, by Hongfei Wu et al.
SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learningby Hongfei Wu, Lijun Wu, Guoqing…
Summary of From Orthogonality to Dependency: Learning Disentangled Representation For Multi-modal Time-series Sensing Signals, by Ruichu Cai et al.
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signalsby Ruichu Cai, Zhifang…
Summary of On the Identification Of Temporally Causal Representation with Instantaneous Dependence, by Zijian Li et al.
On the Identification of Temporally Causal Representation with Instantaneous Dependenceby Zijian Li, Yifan Shen, Kaitao…
Summary of Cross-domain Policy Adaptation by Capturing Representation Mismatch, By Jiafei Lyu et al.
Cross-Domain Policy Adaptation by Capturing Representation Mismatchby Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu,…
Summary of Paramrel: Learning Parameter Space Representation Via Progressively Encoding Bayesian Flow Networks, by Zhangkai Wu et al.
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networksby Zhangkai Wu, Xuhui Fan,…
Summary of Efficiency For Free: Ideal Data Are Transportable Representations, by Peng Sun et al.
Efficiency for Free: Ideal Data Are Transportable Representationsby Peng Sun, Yi Jiang, Tao LinFirst submitted…