Gaurav Kumar Nayak
11 papers · 2019–2025 · 6 venues · across top CS/AI venues
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model compression
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knowledge distillation
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data-free learning
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transfer learning
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domain adaptation
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unsupervised learning
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question answering
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certified robustness
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incremental learning
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person re-identification
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randomized smoothing
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synthetic data generation
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representative sampling
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adversarial attack
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data augmentation
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zero-shot learning
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adversarial defense
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hessian eigenvalue
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Papers
DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID
WACV 2025
MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
ICML 2025
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
EMNLP 2025
CityGuessr: City-Level Video Geo-Localization on a Global Scale
ECCV 2024
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
WACV 2024
DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers
WACV 2023
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
NeurIPS 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