Vishnu Suresh Lokhande
16 papers · 2019–2026 · 9 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(9)
Learning Types Β· Machine Learning
(6)
Models
(6)
Optimization & Theory Β· Machine Learning
(6)
Learning Types Β· Deep Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Core Methods
(4)
Computer Vision
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Processing
(3)
Application Areas
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
diffusion model
(4)
catastrophic forgetting
(2)
causal inference
(2)
concept learning
(2)
domain adaptation
(2)
semi-supervised learning
(1)
stochastic gradient descent
(1)
image classification
(1)
attention mechanism
(1)
mutual information
(1)
personalized generation
(1)
data augmentation
(1)
kl divergence
(1)
incremental learning
(1)
transductive learning
(1)
covariate shift
(1)
feature representation
(1)
medical image segmentation
(1)
hierarchical clustering
(1)
image generation
(1)
Papers
Forget Less by Learning from Parents Through Hierarchical Relationships
AAAI 2026
Forget Less by Learning Together through Concept Consolidation
WACV 2026
Interpretable Prompts made Edit-Friendly: Token-to-Token Similarity Reduction in dLLMs for Edit-Friendly Hard Prompt Inversion
CVPR 2026
Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?
MIDL 2026
ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
CVPR 2026
Your Text Encoder Can Be An Object-Level Watermarking Controller
ICCV 2025
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
NeurIPS 2024
Pooling Image Datasets with Multiple Covariate Shift and Imbalance
ICLR 2024
Efficient Discrete Multi Marginal Optimal Transport Regularization
ICLR 2023
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
CVPR 2022
Graph reparameterizations for enabling 1000+ Monte Carlo iterations in Bayesian deep neural networks
UAI 2021
Learning Invariant Representations using Inverse Contrastive Loss
AAAI 2021
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution
AAAI 2020
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret
ECCV 2020
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
CVPR 2020
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence
AAAI 2019