Gaurav Kumar Nayak
11 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (6) π§ Keyword Pioneer π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(22)
π₯
Unstoppable
(7)
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Century Club
(11)
Conferences
WACV (5)
ICML (2)
AAAI (1)
ECCV (1)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
model compression
(3)
knowledge distillation
(3)
data-free learning
(2)
unsupervised learning
(1)
transfer learning
(1)
domain adaptation
(1)
certified robustness
(1)
randomized smoothing
(1)
question answering
(1)
incremental learning
(1)
person re-identification
(1)
diffusion model
(1)
synthetic data generation
(1)
representative sampling
(1)
adversarial attack
(1)
data augmentation
(1)
zero-shot learning
(1)
adversarial defense
(1)
hessian eigenvalue
(1)
federated learning
(1)
Papers
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID
WACV 2025
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
EMNLP 2025
MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
ICML 2025
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
WACV 2024
CityGuessr: City-Level Video Geo-Localization on a Global Scale
ECCV 2024
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
NIPS 2023
DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers
WACV 2023
DAD: Data-Free Adversarial Defense at Test Time
WACV 2022
Effectiveness of Arbitrary Transfer Sets for Data-Free Knowledge Distillation
WACV 2021
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
AAAI 2020
Zero-Shot Knowledge Distillation in Deep Networks
ICML 2019