Sravanti Addepalli
14 papers · 2020–2025 · 5 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 ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
β
The Questioner
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Application Areas
(9)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(5)
Core AI
(5)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(3)
Natural Language Processing
(2)
Models
(2)
Resources & Methods
(2)
Techniques
(2)
Computer Science
(1)
Computer Vision
(1)
Applications
(1)
Keywords
adversarial training
(5)
adversarial attack
(4)
domain generalization
(4)
knowledge distillation
(3)
adversarial robustness
(2)
out-of-distribution generalization
(2)
neural network
(2)
generative adversarial network
(2)
large language model
(2)
data augmentation
(2)
visual question answering
(1)
text generation
(1)
incremental learning
(1)
prompt engineering
(1)
ensemble learning
(1)
representative sampling
(1)
domain adaptation
(1)
class imbalance
(1)
knowledge transfer
(1)
neural network optimization
(1)
Papers
Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?
ICLR 2025
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
CVPR 2024
Time-Reversal Provides Unsupervised Feedback to LLMs
NeurIPS 2024
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
CVPR 2023
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks
ICLR 2023
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases
CVPR 2023
Efficient and Effective Augmentation Strategy for Adversarial Training
NeurIPS 2022
Scaling Adversarial Training to Large Perturbation Bounds
ECCV 2022
Towards Data-Free Model Stealing in a Hard Label Setting
CVPR 2022
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
ECCV 2022
Towards Efficient and Effective Adversarial Training
NeurIPS 2021
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
AAAI 2020
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
NeurIPS 2020
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
CVPR 2020