Concepts Complement Dense Semantics: Learning Compact Sparse Spaces for Text-Image Retrieval

arXiv:2609.32671 · cs.IR, cs.CV · Submitted 2026-09-26 · Read on arXiv

cs.IR, cs.CV

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Grounding — 19× in this paper · explained in 3 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Distillation — 3× in this paper · explained in 2 episodes
• Semantic Similarity — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Korea Telecom — 1× in this paper
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Predictive Coding — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Sparse and Dense Learn Better Together — 1× in this paper

Sources

• Representation Learning with Contrastive Predictive Coding

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