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Found 4 papers, 1 papers with code
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
Most importantly, the LUWA dataset provides an underexplored opportunity for vision and learning communities and complements existing image classification problems on common objects.
ActFormer: Scalable Collaborative Perception via Active Queries
This proactive understanding of the visual features' relevance does not require the transmission of the features themselves, enhancing both communication and computation efficiency.
URLOST: Unsupervised Representation Learning without Stationarity or Topology
Unsupervised representation learning has seen tremendous progress but is constrained by its reliance on data modality-specific stationarity and topology, a limitation not found in biological intelligence systems.
Word Embedding Visualization Via Dictionary Learning
Co-occurrence statistics based word embedding techniques have proved to be very useful in extracting the semantic and syntactic representation of words as low dimensional continuous vectors.
