Rishabh Iyer

CrossCheck: Input Validation for WAN Control Systems NSDI 2026 SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition WACV 2026 WriteGuards: Distributed Storage Support for Strongly Consistent Caches OSDI 2026 Automatically Reasoning About How Systems Code Uses the CPU Cache OSDI 2024 Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification WACV 2024 Gradient Coreset for Federated Learning WACV 2024 Performance Interfaces for Hardware Accelerators OSDI 2024 SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection ECCV 2024 DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation ACL 2023 Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks NeurIPS 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023 A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NeurIPS 2022 GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning CVPR 2022 Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming ACL 2022 ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift NeurIPS 2022 Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022 Performance Interfaces for Network Functions NSDI 2022 PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information ICML 2022 PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection AAAI 2022 SPEAR : Semi-supervised Data Programming in Python EMNLP 2022 TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information ECCV 2022 GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021 GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training ICML 2021 Learning to Select Exogenous Events for Marked Temporal Point Process NeurIPS 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NeurIPS 2021 Rule Augmented Unsupervised Constituency Parsing ACL 2021 Semi-Supervised Data Programming with Subset Selection ACL 2021 SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios NeurIPS 2021 Submodular combinatorial information measures with applications in machine learning ALT 2021 Training Data Subset Selection for Regression with Controlled Generalization Error ICML 2021 A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems AISTATS 2019 Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs AISTATS 2019 Performance Contracts for Software Network Functions NSDI 2019 Algorithms for Optimizing the Ratio of Submodular Functions ICML 2016 On Approximate Non-submodular Minimization via Tree-Structured Supermodularity AISTATS 2015 Submodularity in Data Subset Selection and Active Learning ICML 2015 Submodular Point Processes with Applications to Machine learning AISTATS 2015 Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures ACL 2015 Fast Multi-stage Submodular Maximization ICML 2014 Fast Semidifferential-based Submodular Function Optimization ICML 2013 Submodular-Bregman and the Lovász-Bregman Divergences with Applications NeurIPS 2012