Jie Ren
47 papers · 2019–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 30% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jie Ren?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Balaji Lakshminarayanan, Jeremiah Zhe Liu, Jasper Snoek
9 papers
· 2019–2025
· NeurIPS, ICLR, JMLR
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RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
JMLR 2023
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
ICML 2023
Improving Zero-Shot Generalization and Robustness of Multi-Modal Models
CVPR 2023
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
EMNLP 2023
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
ICLR 2023
Exploring the Limits of Out-of-Distribution Detection
NeurIPS 2021
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
NeurIPS 2019
Likelihood Ratios for Out-of-Distribution Detection
NeurIPS 2019
7 papers whose co-authors appear nowhere else under this name
HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection
AAAI 2025
Revisiting Mode Connectivity in Neural Networks with Bezier Surface
ICLR 2025
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
NeurIPS 2024
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
EMNLP 2024
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations
AAAI 2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
EMNLP 2023
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory
NeurIPS 2020