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 Africa





Memory-EfficientApproximationAlgorithmsfor MAX-K-CUTandCorrelationClustering

Neural Information Processing Systems

Largescale instances of SDPs, thus, present a memory bottleneck. In this paper, we develop simple polynomial-time Gaussian sampling-based algorithms for these twoproblems thatuseO(n+|E|)memory andnearly achievethebestexisting approximation guarantees.







CVQA: Culturally-diverseMultilingual VisualQuestionAnsweringBenchmark

Neural Information Processing Systems

Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge present in both visual and textual data.