Rishabh Iyer
43 papers · 2012–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(17)
π§
Keyword Pioneer
π¬
Deep Specialist
(12)
π§¬
Topic Evolution
π
Keyword Champion
(12)
π€
Dynamic Duo
(17)
ποΈ
Keyword Collector
(153)
β‘
Prolific Year
(11)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(43)
π₯
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
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