← Authors

Rishabh Iyer

43 papers · 2012–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (14) 🐝 Cross-Pollinator (7) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion (12) 🀝 Dynamic Duo (17) πŸ—ƒοΈ Keyword Collector (153) ⚑ Prolific Year (11) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (43) πŸ”₯ Unstoppable (5)

Conferences

ICML (7) NIPS (7) ACL (5) AISTATS (4) AAAI (3) EMNLP (3) IJCNLP (3) WACV (3) ECCV (2) NSDI (2) OSDI (2) ALT (1) CVPR (1)

Top co-authors

Ganesh Ramakrishnan (17) Krishnateja Killamsetty (13) Jeff Bilmes (8) Ayush Maheshwari (6) Suraj Kothawade (6) George Candea (4) Abir De (4) Jeffrey Bilmes (4) Katerina Argyraki (3) Durga Sivasubramanian (3)

Keywords

submodular optimization (16) data subset selection (12) submodular function (4) semi-supervised learning (4) bi-level optimization (4) active learning (4) subset selection (4) submodular maximization (2) robust learning (2) greedy algorithm (2) mutual information (2) efficient computing (2) combinatorial optimization (2) few-shot learning (2) program analysis (2) text classification (2) automatic speech recognition (2) domain adaptation (2) model-agnostic meta-learning (2) coreset selection (2)

Papers

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