Sahil Manchanda
10 papers · 2020–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🏆
Grand Slam
❓
The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Architectures
(5)
Application Areas
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Models
(3)
Artificial Intelligence
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
inductive learning
(3)
graph neural network
(3)
pre-trained transformer
(2)
graph convolutional network
(2)
generative model
(2)
message passing
(2)
knowledge distillation
(2)
medical imaging
(1)
graph classification
(1)
continual learning
(1)
branch and bound
(1)
graph generation
(1)
energy landscape
(1)
mixed integer programming
(1)
trajectory prediction
(1)
domain adaptation
(1)
semantic similarity
(1)
neural machine translation
(1)
autoregressive model
(1)
influence maximization
(1)
Papers
What is in a name? Mitigating Name Bias in Text Embedding Similarity via Anonymization
ACL 2025
Mirage: Model-agnostic Graph Distillation for Graph Classification
ICLR 2024
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
ICML 2023
LIMIP: Lifelong Learning to Solve Mixed Integer Programs
AAAI 2023
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
ICML 2023
Optum’s Submission to WMT22 Biomedical Translation Tasks
EMNLP 2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
AAAI 2022
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks
NeurIPS 2021
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning
NAACL 2021
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
NeurIPS 2020