Shikhar Vashishth
18 papers · 2018–2024 · 8 venues · across top CS/AI venues
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Achievements
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(12)
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(7)
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Research topics
Machine Learning
(11)
Deep Learning
(9)
Core Methods
(8)
Architectures
(7)
Artificial Intelligence
(6)
Natural Language Processing
(6)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Applications
(4)
Learning Types Β· Deep Learning
(4)
Knowledge & Reasoning
(3)
Application Areas
(3)
Optimization & Theory
(3)
Representation
(3)
Healthcare & Medicine
(2)
Keywords
graph convolutional network
(4)
node classification
(3)
graph neural network
(3)
knowledge graph completion
(3)
link prediction
(3)
self-supervised learning
(2)
semi-supervised learning
(2)
language identification
(2)
graph convolution network
(2)
knowledge graph embedding
(2)
knowledge distillation
(2)
dependency parsing
(1)
syntactic parsing
(1)
dialogue generation
(1)
contrastive learning
(1)
information extraction
(1)
document analysis
(1)
entity linking
(1)
document classification
(1)
side information
(1)
Papers
A Morphology-Based Investigation of Positional Encodings
EMNLP 2024
LinguaMeta: Unified Metadata for Thousands of Languages
COLING 2024
Label Aware Speech Representation Learning For Language Identification
Interspeech 2023
Self-Influence Guided Data Reweighting for Language Model Pre-training
EMNLP 2023
Knowledge-Rich Self-Supervision for Biomedical Entity Linking
EMNLP 2022
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
ICLR 2021
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
ACL 2021
A Re-evaluation of Knowledge Graph Completion Methods
ACL 2020
Composition-based Multi-Relational Graph Convolutional Networks
ICLR 2020
InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions
AAAI 2020
MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge
EMNLP 2020
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
AISTATS 2019
Graph-based Deep Learning in Natural Language Processing
EMNLP 2019
Graph-based Deep Learning in Natural Language Processing
IJCNLP 2019
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
ACL 2019
Lovasz Convolutional Networks
AISTATS 2019
Dating Documents using Graph Convolution Networks
ACL 2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
EMNLP 2018