Sadeep Jayasumana
10 papers · 2013–2024 · 4 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (22) π Academic Marathon Β· Half π Century Club Β· Bronze
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support vector machine
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kernel methods
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positive definite kernel
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riemannian manifold
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structured prediction
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kernel principal component analysis
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image segmentation
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information retrieval
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manifold learning
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image synthesis
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large-scale retrieval
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text-to-image generation
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kernel learning
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class imbalance
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knowledge distillation
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shape analysis
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image generation
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Papers
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
CVPR 2024
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
CVPR 2024
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
ICML 2024
In defense of dual-encoders for neural ranking
ICML 2022
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
ICML 2021
Long-tail learning via logit adjustment
ICLR 2021
Conditional Random Fields as Recurrent Neural Networks
ICCV 2015
Optimizing Over Radial Kernels on Compact Manifolds
CVPR 2014
A Framework for Shape Analysis via Hilbert Space Embedding
ICCV 2013
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
CVPR 2013