Sadeep Jayasumana
10 papers · 2013–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (11) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (20)
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Academic Marathon
(11)
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Renaissance Researcher
(7)
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Interdisciplinary Bridge
π
Century Club
(10)
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Trend Setter
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Conference Pioneer
Conferences
CVPR (4)
ICML (3)
ICCV (2)
ICLR (1)
Top co-authors
Keywords
kernel methods
(3)
support vector machine
(3)
riemannian manifold
(2)
positive definite kernel
(2)
structured prediction
(1)
kernel principal component analysis
(1)
image segmentation
(1)
information retrieval
(1)
manifold learning
(1)
image synthesis
(1)
text-to-image generation
(1)
kernel learning
(1)
kernel pca
(1)
kernel optimization
(1)
knowledge distillation
(1)
generative model
(1)
shape analysis
(1)
markov random field
(1)
convolutional neural network
(1)
image generation
(1)
Papers
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
ICML 2024
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
CVPR 2024
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
CVPR 2024
In defense of dual-encoders for neural ranking
ICML 2022
Long-tail learning via logit adjustment
ICLR 2021
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
ICML 2021
Conditional Random Fields as Recurrent Neural Networks
ICCV 2015
Optimizing Over Radial Kernels on Compact Manifolds
CVPR 2014
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
CVPR 2013
A Framework for Shape Analysis via Hilbert Space Embedding
ICCV 2013