SOTAVerified

Learning Semantic Representations

Papers

Showing 110 of 38 papers

TitleStatusHype
PCP-MAE: Learning to Predict Centers for Point Masked AutoencodersCode2
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding TransformerCode2
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series PretrainingCode1
On Learning Semantic Representations for Million-Scale Free-Hand SketchesCode1
VarCLR: Variable Semantic Representation Pre-training via Contrastive LearningCode1
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAECode1
Neural Feature Learning in Function SpaceCode1
Dynamic Compositional Neural Networks over Tree Structure0
Duplex: Dual Prototype Learning for Compositional Zero-Shot Learning0
Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation0
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