Sirisha Rambhatla
9 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23)
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Grand Slam
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The Questioner
(2)
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(5)
Artificial Intelligence
(3)
Computer Vision
(3)
Core AI
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Analysis
(2)
Learning Types · Machine Learning
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Keywords
sparse coding
(2)
few-shot learning
(1)
embedding learning
(1)
graph laplacian
(1)
matrix factorization
(1)
visual explanation
(1)
online learning
(1)
prototype learning
(1)
multimodal learning
(1)
human pose estimation
(1)
deepfake detection
(1)
feature attribution
(1)
representation learning
(1)
neural architecture
(1)
tensor decomposition
(1)
time series classification
(1)
importance sampling
(1)
alternating optimization
(1)
distance metric learning
(1)
dictionary learning
(1)
Papers
LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing
ICCV 2025
Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction
NeurIPS 2024
Why do Variational Autoencoders Really Promote Disentanglement?
ICML 2024
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding
AAAI 2022
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes
WACV 2021
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
IJCAI 2021
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions
NeurIPS 2020
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
NeurIPS 2020
NOODL: Provable Online Dictionary Learning and Sparse Coding
ICLR 2019