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Neural Field Tokenizations with Hierarchy and Spatial Locality Priors
Announce Type: new Abstract: Neural fields parameterize data as functions from coordinates to values, providing a unified framework for representation learning across modalities. Existing approaches are dominated by per-sample meta-learning, which scales poorly due to memory-intensive inner-loop optimization. The natural alternative -- feed-forward encoding -- typically introduces modality-specific assumptions, sacrificing the generality that makes learning with neural fields attractive.
Almost half of private renters faced rule-breaking letting agents
Almost half of private renters faced rule-breaking letting agents Many rogue agents are operating delivering “rock-bottom” service, Citizens Advice warns - Bookmark - CommentsGo to comments Millions of private renters across the UK are regularly subjected to unfair or unlawful behaviour by letting agents, a new report from Citizens Advice has warned. A new report from the national charity finds that there is a “rock-bottom” culture amongst these agents – which manage private tenancies on...