Xiangning Chen
14 papers · 2019–2023 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (7) π§ Keyword Pioneer
π
Interdisciplinary Bridge
π€
Dynamic Duo
(12)
π₯
Unstoppable
(5)
π
Century Club
(14)
β‘
Prolific Year
(5)
β
The Questioner
Conferences
ICLR (5)
NIPS (3)
CVPR (2)
EMNLP (1)
ICCV (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
sharpness-aware minimization
(3)
stochastic gradient descent
(2)
vision transformer
(2)
neural network training
(2)
neural architecture search
(2)
loss landscape
(2)
domain adaptation
(1)
in-context learning
(1)
adversarial learning
(1)
data augmentation
(1)
gradient descent
(1)
prompt engineering
(1)
object detection
(1)
hyperparameter optimization
(1)
neural network optimization
(1)
matrix factorization
(1)
instruction tuning
(1)
label noise
(1)
feature learning
(1)
stochastic optimization
(1)
Papers
Symbol tuning improves in-context learning in language models
EMNLP 2023
Why Does Sharpness-Aware Minimization Generalize Better Than SGD?
NIPS 2023
Symbolic Discovery of Optimization Algorithms
NIPS 2023
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
ICLR 2022
Towards Efficient and Scalable Sharpness-Aware Minimization
CVPR 2022
Random Sharpness-Aware Minimization
NIPS 2022
Concurrent Adversarial Learning for Large-Batch Training
ICLR 2022
Learning to Schedule Learning rate with Graph Neural Networks
ICLR 2022
DrNAS: Dirichlet Neural Architecture Search
ICLR 2021
Robust and Accurate Object Detection via Adversarial Learning
CVPR 2021
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving
ICCV 2021
Rethinking Architecture Selection in Differentiable NAS
ICLR 2021
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
ICML 2020
DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation
IJCAI 2019