Samyak Jain
10 papers · 2022–2025 · 7 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 ↓+3 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🗃️ Keyword Collector (50)
💎
Century Club · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(5)
Learning Types · Machine Learning
(5)
Core AI
(4)
Deep Learning
(3)
Application Areas
(3)
Natural Language Processing
(2)
Architectures
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Applications
(1)
Core Methods
(1)
Learning Paradigms
(1)
Models
(1)
Resources & Methods
(1)
Keywords
data augmentation
(3)
mechanistic interpretability
(2)
neural network
(2)
graph neural network
(2)
domain generalization
(2)
adversarial attack
(2)
direct preference optimization
(1)
ensemble learning
(1)
adversarial robustness
(1)
surrogate model
(1)
preference optimization
(1)
multimodal learning
(1)
network pruning
(1)
adversarial training
(1)
question answering
(1)
domain knowledge
(1)
preference alignment
(1)
model averaging
(1)
message passing
(1)
attention mechanism
(1)
Papers
Bonsai: Gradient-free Graph Condensation for Node Classification
ICLR 2025
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
ICLR 2024
NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA
SemEval 2024
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction
COLING 2024
Stronger and Transferable Node Injection Attacks
AAAI 2024
Towards Understanding and Improving Adversarial Robustness of Vision Transformers
CVPR 2024
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
NeurIPS 2024
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
CVPR 2023
Efficient and Effective Augmentation Strategy for Adversarial Training
NeurIPS 2022
Scaling Adversarial Training to Large Perturbation Bounds
ECCV 2022