Xiangning Chen
14 papers · 2019–2023 · 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 ↓+4 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (12) 💎 Century Club · Bronze
🗃️
Keyword Collector
(66)
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(9)
Optimization & Theory · Machine Learning
(9)
Artificial Intelligence
(5)
Learning Paradigms
(5)
Architectures
(4)
Techniques
(4)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Core AI
(1)
Keywords
neural architecture search
(4)
vision transformer
(3)
sharpness-aware minimization
(3)
stochastic gradient descent
(2)
neural network optimization
(2)
neural network training
(2)
large batch training
(2)
adversarial learning
(2)
loss landscape
(2)
adversarial robustness
(1)
object detection
(1)
hyperparameter optimization
(1)
data augmentation
(1)
in-context learning
(1)
feature learning
(1)
matrix factorization
(1)
domain adaptation
(1)
supervised learning
(1)
prompt engineering
(1)
transfer learning
(1)
Papers
Symbolic Discovery of Optimization Algorithms
NeurIPS 2023
Symbol tuning improves in-context learning in language models
EMNLP 2023
Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
NeurIPS 2023
Concurrent Adversarial Learning for Large-Batch Training
ICLR 2022
Learning to Schedule Learning rate with Graph Neural Networks
ICLR 2022
Random Sharpness-Aware Minimization
NeurIPS 2022
Towards Efficient and Scalable Sharpness-Aware Minimization
CVPR 2022
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
ICLR 2022
DrNAS: Dirichlet Neural Architecture Search
ICLR 2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
ICCV 2021
Rethinking Architecture Selection in Differentiable NAS
ICLR 2021
Robust and Accurate Object Detection via Adversarial Learning
CVPR 2021
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
ICML 2020
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation
IJCAI 2019