Nitesh Chawla
8 papers · 2019–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(25)
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(5)
Artificial Intelligence
(4)
Architectures
(4)
Learning Types · Machine Learning
(4)
Core Methods
(3)
Learning Paradigms
(3)
Natural Language Processing
(2)
Application Areas
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Applications
(1)
Methods
(1)
Keywords
graph neural network
(4)
few-shot learning
(3)
semi-supervised learning
(2)
zero-shot learning
(1)
metric learning
(1)
sequence labeling
(1)
knowledge transfer
(1)
knowledge distillation
(1)
in-context learning
(1)
information extraction
(1)
adversarial augmentation
(1)
graph representation
(1)
knowledge base
(1)
relation reasoning
(1)
relation prediction
(1)
adversarial attack
(1)
node classification
(1)
imbalanced classification
(1)
mixture of expert
(1)
cross-entropy loss
(1)
Papers
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
ICLR 2023
Deep Ensembles for Graphs with Higher-order Dependencies
ICLR 2023
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
ICLR 2023
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
NeurIPS 2023
Compositional Training for End-to-End Deep AUC Maximization
ICLR 2022
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases
EMNLP 2020
Graph Few-Shot Learning via Knowledge Transfer
AAAI 2020
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text
EMNLP 2019