Vishnu Suresh Lokhande
14 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (14)
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(14)
🧬
Topic Evolution
🔥
Unstoppable
(8)
💎
Century Club
(12)
🚀
Conference Pioneer
Conferences
AAAI (4)
CVPR (2)
ICLR (2)
ECCV (1)
ICCV (1)
MIDL (1)
NIPS (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
diffusion model
(3)
catastrophic forgetting
(2)
concept learning
(2)
causal inference
(2)
semi-supervised learning
(1)
image generation
(1)
continual learning
(1)
attention mechanism
(1)
transductive learning
(1)
personalized generation
(1)
kl divergence
(1)
incremental learning
(1)
medical image segmentation
(1)
feature representation
(1)
monte carlo sampling
(1)
column generation
(1)
distribution shift
(1)
stochastic process
(1)
domain adaptation
(1)
stochastic gradient descent
(1)
Papers
Forget Less by Learning Together through Concept Consolidation
WACV 2026
Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?
MIDL 2026
Forget Less by Learning from Parents Through Hierarchical Relationships
AAAI 2026
Your Text Encoder Can Be An Object-Level Watermarking Controller
ICCV 2025
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
NIPS 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
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
CVPR 2020
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret
ECCV 2020
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution
AAAI 2020
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence
AAAI 2019