Yogesh Balaji
20 papers · 2017–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Grand Slam
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Keyword Pioneer
ποΈ
Keyword Collector
(82)
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Century Club Β· Bronze
π₯
Unstoppable Β· Silver
Venues
Top co-authors
Research topics
Deep Learning
(17)
Machine Learning
(14)
Models
(12)
Computer Vision
(8)
Learning Types Β· Machine Learning
(8)
Application Areas
(7)
Artificial Intelligence
(6)
Architectures
(6)
Core AI
(6)
Optimization & Theory
(5)
Generation
(4)
Learning Types Β· Deep Learning
(4)
Analysis
(3)
Core Methods
(2)
Mathematics & Optimization
(1)
Keywords
generative adversarial network
(8)
domain adaptation
(4)
wasserstein distance
(3)
text-to-image generation
(3)
transfer learning
(2)
adversarial training
(2)
diffusion model
(2)
maximum likelihood
(2)
variational autoencoder
(2)
video generation
(2)
feature embedding
(2)
generative model
(2)
image restoration
(1)
contrastive learning
(1)
variational inference
(1)
image classification
(1)
unsupervised learning
(1)
domain generalization
(1)
personalized generation
(1)
adversarial robustness
(1)
Papers
DuoGen: Towards Autonomous Interleaved Multimodal Generation
CVPR 2026
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
CVPR 2025
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation
ICML 2025
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation
CVPR 2024
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
ICCV 2023
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes
CVPR 2022
Understanding Over-parameterization in Generative Adversarial Networks
ICLR 2021
Unsupervised anomaly detection with adversarial mirrored autoencoders
UAI 2021
Winning Lottery Tickets in Deep Generative Models
AAAI 2021
Adversarial Robustness of Flow-Based Generative Models
AISTATS 2020
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation
ECCV 2020
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
ECCV 2020
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
NeurIPS 2020
Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis
IJCAI 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
ICML 2019
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation
ICCV 2019
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks
CVPR 2018
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation
CVPR 2018
MetaReg: Towards Domain Generalization using Meta-Regularization
NeurIPS 2018
Unrolling the Shutter: CNN to Correct Motion Distortions
CVPR 2017