Krishnateja Killamsetty
15 papers · 2021–2025 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(14)
Learning Types Β· Machine Learning
(12)
Optimization & Theory Β· Machine Learning
(10)
Application Areas
(7)
Deep Learning
(5)
Natural Language Processing
(4)
Learning Types Β· Deep Learning
(3)
Resources & Methods
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Vision
(1)
Analysis
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Keywords
data subset selection
(5)
bilevel optimization
(4)
active learning
(3)
submodular optimization
(3)
data efficiency
(2)
efficient computing
(2)
large language model
(2)
data selection
(2)
subset selection
(2)
semi-supervised learning
(2)
coreset selection
(2)
domain adaptation
(2)
robust learning
(2)
class imbalance
(2)
out-of-distribution detection
(2)
hyperparameter optimization
(1)
text classification
(1)
orthogonal matching pursuit
(1)
few-shot learning
(1)
image classification
(1)
Papers
DELIFT: Data Efficient Language model Instruction Fine-Tuning
ICLR 2025
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
ICLR 2025
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification
WACV 2024
SCoRe: Submodular Combinatorial Representation Learning
ICML 2024
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
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
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
NeurIPS 2021
Semi-Supervised Data Programming with Subset Selection
ACL 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
NeurIPS 2021