Karthik Subbian
12 papers · 2018–2024 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(11)
Deep Learning
(7)
Core Methods
(7)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(4)
Natural Language Processing
(3)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Knowledge & Reasoning
(2)
Applications
(2)
Representation
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Keywords
graph neural network
(4)
information retrieval
(2)
multi-task learning
(2)
self-supervised learning
(2)
node classification
(2)
large language model
(2)
feature selection
(1)
multivariate gaussian
(1)
probabilistic modeling
(1)
logical reasoning
(1)
graph learning
(1)
knowledge distillation
(1)
multilingual nlp
(1)
question answering
(1)
domain adaptation
(1)
explainable ai
(1)
sample complexity
(1)
hyperparameter optimization
(1)
short text classification
(1)
text generation
(1)
Papers
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
NeurIPS 2024
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
NeurIPS 2024
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
NeurIPS 2023
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
ICLR 2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
ACL 2022
Task-Agnostic Graph Explanations
NeurIPS 2022
Finding Needles in Heterogeneous Haystacks
AAAI 2021
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
NeurIPS 2021
Learning Robust Models for e-Commerce Product Search
ACL 2020
Regularized Graph Convolutional Networks for Short Text Classification
COLING 2020
Scalable Feature Selection for (Multitask) Gradient Boosted Trees
AISTATS 2020
Learning Diffusion using Hyperparameters
ICML 2018