Nitesh Chawla
9 papers · 2019–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (5) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
(2)
β
The Questioner
Conferences
ICLR (4)
EMNLP (2)
AAAI (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Keywords
few-shot learning
(3)
scientific text
(2)
tuple extraction
(2)
sequence labeling
(2)
fact extraction
(2)
in-context learning
(1)
information extraction
(1)
named entity recognition
(1)
knowledge base
(1)
relation reasoning
(1)
relation prediction
(1)
node classification
(1)
multi-hop reasoning
(1)
entity extraction
(1)
joint extraction
(1)
fact tuple
(1)
condition extraction
(1)
large language model
(1)
graph neural network
(1)
reinforcement learning
(1)
Papers
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
NIPS 2023
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
ICLR 2023
Deep Ensembles for Graphs with Higher-order Dependencies
ICLR 2023
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
ICLR 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
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text
IJCNLP 2019