Summary of A Generic Layer Pruning Method For Signal Modulation Recognition Deep Learning Models, by Yao Lu et al.
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Modelsby Yao Lu, Yutao…
Summary of What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions, by Liyi Zhang et al.
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributionsby Liyi Zhang, Michael Y. Li,…
Summary of Fils: Self-supervised Video Feature Prediction in Semantic Language Space, by Mona Ahmadian et al.
FILS: Self-Supervised Video Feature Prediction In Semantic Language Spaceby Mona Ahmadian, Frank Guerin, Andrew GilbertFirst…
Summary of Lifting Factor Graphs with Some Unknown Factors, by Malte Luttermann et al.
Lifting Factor Graphs with Some Unknown Factorsby Malte Luttermann, Ralf Möller, Marcel GehrkeFirst submitted to…
Summary of Dmt-jepa: Discriminative Masked Targets For Joint-embedding Predictive Architecture, by Shentong Mo et al.
DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architectureby Shentong Mo, Sukmin YunFirst submitted to arxiv…
Summary of Dphgnn: a Dual Perspective Hypergraph Neural Networks, by Siddhant Saxena et al.
DPHGNN: A Dual Perspective Hypergraph Neural Networksby Siddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee,…
Summary of Kg-fit: Knowledge Graph Fine-tuning Upon Open-world Knowledge, by Pengcheng Jiang et al.
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledgeby Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia,…
Summary of Learning Visual-semantic Subspace Representations For Propositional Reasoning, by Gabriel Moreira et al.
Learning Visual-Semantic Subspace Representations for Propositional Reasoningby Gabriel Moreira, Alexander Hauptmann, Manuel Marques, João Paulo…
Summary of Spatio-temporal Value Semantics-based Abstraction For Dense Deep Reinforcement Learning, by Jihui Nie and Dehui Du and Jiangnan Zhao
Spatio-temporal Value Semantics-based Abstraction for Dense Deep Reinforcement Learningby Jihui Nie, Dehui Du, Jiangnan ZhaoFirst…
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,…