Dimitris Tsipras
15 papers · 2018–2022 · 3 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (14)
🐝
Cross-Pollinator
(14)
👑
Triple Crown
🤝
Dynamic Duo
(14)
❓
The Questioner
(2)
📈
Trend Setter
🚀
Conference Pioneer
💎
Century Club
(15)
🔥
Unstoppable
(5)
Conferences
NIPS (6)
ICLR (5)
ICML (4)
Top co-authors
Keywords
benchmark evaluation
(3)
image classification
(2)
domain generalization
(2)
adversarial robustness
(2)
robust classification
(2)
gradient descent
(2)
sample complexity
(1)
in-context learning
(1)
feature learning
(1)
data augmentation
(1)
model robustness
(1)
batch normalization
(1)
robust optimization
(1)
neural network optimization
(1)
subpopulation shift
(1)
image synthesis
(1)
domain adaptation
(1)
adversarial learning
(1)
distribution shift
(1)
representation learning
(1)
Papers
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
NIPS 2022
Combining Diverse Feature Priors
ICML 2022
Editing a classifier by rewriting its prediction rules
NIPS 2021
BREEDS: Benchmarks for Subpopulation Shift
ICLR 2021
Identifying Statistical Bias in Dataset Replication
ICML 2020
A Closer Look at Deep Policy Gradients
ICLR 2020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
ICML 2020
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
ICLR 2020
Robustness May Be at Odds with Accuracy
ICLR 2019
Image Synthesis with a Single (Robust) Classifier
NIPS 2019
Adversarial Examples Are Not Bugs, They Are Features
NIPS 2019
Exploring the Landscape of Spatial Robustness
ICML 2019
How Does Batch Normalization Help Optimization?
NIPS 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
ICLR 2018
Adversarially Robust Generalization Requires More Data
NIPS 2018