Fnu Devvrit

7 papers · 2019–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (15)

Venues

NeurIPS (5) ICLR (2)

Top co-authors

Inderjit S Dhillon (4) Nived Rajaraman (2) Inderjit S. Dhillon (2) Sai Surya Duvvuri (2) Rohan Anil (2) Prateek Jain (2) Cho-jui Hsieh (2) Ankit Singh Rawat (1) Rohan Kadekodi (1) Nilesh Gupta (1)

Research topics

Machine Learning (5) Deep Learning (3) Learning Types · Machine Learning (3) Optimization & Theory (3) Core Methods (2) Artificial Intelligence (1) Computer Science (1) Architectures (1) Core AI (1) Foundations (1) Learning Types · Deep Learning (1) Techniques (1)

Keywords

contrastive learning (2) stochastic optimization (1) active learning (1) semi-supervised learning (1) neural network training (1) graph clustering (1) self-supervised learning (1) information retrieval (1) deep learning (1) group lasso (1) online convex optimization (1) linear regression (1) adaptive regularization (1) query complexity (1) kronecker product (1) second-order optimization (1) matrix sensing (1) node representation learning (1) top-k prediction (1) dual-encoder model (1)

Papers

Combining Axes Preconditioners through Kronecker Approximation for Deep Learning ICLR 2024 Dual-Encoders for Extreme Multi-label Classification ICLR 2024 A Computationally Efficient Sparsified Online Newton Method NeurIPS 2023 Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing NeurIPS 2023 S3GC: Scalable Self-Supervised Graph Clustering NeurIPS 2022 Semi-supervised Active Linear Regression NeurIPS 2022 DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node NeurIPS 2019