Search Results - "Agrawal, Sheshansh"

OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries by Jaiswal, Shikhar, Krishnaswamy, Ravishankar, Garg, Ankit, Simhadri, Harsha Vardhan, Agrawal, Sheshansh

“…State-of-the-art algorithms for Approximate Nearest Neighbor Search (ANNS) such as DiskANN, FAISS-IVF, and HNSW build data dependent indices that offer…”
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DECAF: Deep Extreme Classification with Label Features by Mittal, Anshul, Dahiya, Kunal, Agrawal, Sheshansh, Saini, Deepak, Agarwal, Sumeet, Kar, Purushottam, Varma, Manik

“…Web Search and Data Mining 2021 Extreme multi-label classification (XML) involves tagging a data point with its most relevant subset of labels from an…”
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ECLARE: Extreme Classification with Label Graph Correlations by Mittal, Anshul, Sachdeva, Noveen, Agrawal, Sheshansh, Agarwal, Sumeet, Kar, Purushottam, Varma, Manik

“…The Web Conference 2021 Deep extreme classification (XC) seeks to train deep architectures that can tag a data point with its most relevant subset of labels…”
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Lexicographic Ranking Supermartingales: An Efficient Approach to Termination of Probabilistic Programs by Agrawal, Sheshansh, Chatterjee, Krishnendu, Novotný, Petr

“…Probabilistic programs extend classical imperative programs with real-valued random variables and random branching. The most basic liveness property for such…”
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