Renzhe Xu
20 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🏃 Academic Marathon (5)
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Interdisciplinary Bridge
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Conference Polyglot
(7)
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Deep Specialist
(10)
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Dynamic Duo
(17)
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Keyword Collector
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Unstoppable
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Conferences
CVPR (7)
AAAI (4)
ICML (4)
ICLR (2)
CLEAR (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
domain generalization
(6)
out-of-distribution generalization
(6)
distribution shift
(4)
stable learning
(3)
covariate shift
(2)
domain adaptation
(2)
sample reweighting
(2)
generalization bound
(2)
covariate-shift generalization
(2)
causal inference
(2)
regret bound
(2)
multi-armed bandit
(2)
deep learning
(1)
sharpness-aware minimization
(1)
visual grounding
(1)
model pretraining
(1)
representation learning
(1)
in-context learning
(1)
nash equilibrium
(1)
object detection
(1)
Papers
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
AAAI 2026
Error Slice Discovery via Manifold Compactness
AAAI 2026
On the Out-Of-Distribution Generalization of Large Multimodal Models
CVPR 2025
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts
CVPR 2025
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
ICLR 2025
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
ICML 2025
Rethinking the Evaluation Protocol of Domain Generalization
CVPR 2024
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization
CVPR 2023
Stable Learning via Sparse Variable Independence
AAAI 2023
NICO++: Towards Better Benchmarking for Domain Generalization
CVPR 2023
Flatness-Aware Minimization for Domain Generalization
ICCV 2023
Measure the Predictive Heterogeneity
ICLR 2023
Covariate-Shift Generalization via Random Sample Weighting
AAAI 2023
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
ICML 2023
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction
CLEAR 2023
Product Ranking for Revenue Maximization with Multiple Purchases
NIPS 2022
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
ICML 2022
Towards Unsupervised Domain Generalization
CVPR 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization
ICML 2022
Deep Stable Learning for Out-of-Distribution Generalization
CVPR 2021