conftrace_
← Authors

Xuefeng Du

18 papers · 2020–2026 · 5 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (5) πŸ—ΊοΈ Taxonomy Completionist (31)
πŸ—ΊοΈ Taxonomy Completionist (31) 🧭 Keyword Pioneer πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (13) ⚑ Prolific Year (5) πŸ’Ž Century Club (17) πŸ—ƒοΈ Keyword Collector (54) πŸ”₯ Unstoppable (6) ❓ The Questioner (3)

Conferences

ICML (6) NIPS (5) ICLR (3) AAAI (2) CVPR (2)

Top co-authors

Yixuan Li (13) Yiyou Sun (3) Gabriel Gozum (2) Shawn Im (2) Seongheon Park (2) Zhen Fang (2) Leitian Tao (2) Min-Hsuan Yeh (2) Robert D Nowak (1) Pinghui Wang (1)

Keywords

out-of-distribution detection (5) anomaly detection (2) hallucination detection (2) object detection (2) semantic shift (2) image generation (1) few-shot learning (1) benchmark evaluation (1) text classification (1) out-of-distribution generalization (1) uncertainty quantification (1) adversarial robustness (1) knowledge transfer (1) knowledge distillation (1) adversarial training (1) domain generalization (1) neural architecture search (1) weak supervision (1) margin-based learning (1) network architecture (1)

Papers

Teach AI What It Doesn’t Know AAAI 2026 Position: Challenges and Future Directions of Data-Centric AI Alignment ICML 2025 Steer LLM Latents for Hallucination Detection ICML 2025 Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach ICML 2025 How Does Unlabeled Data Provably Help Out-of-Distribution Detection? ICLR 2024 When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection NIPS 2024 Non-parametric Outlier Synthesis ICLR 2023 Dream the Impossible: Outlier Imagination with Diffusion Models NIPS 2023 Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection ICML 2023 VOS: Learning What You Don't Know by Virtual Outlier Synthesis ICLR 2022 Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild CVPR 2022 Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search CVPR 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NIPS 2022 SIREN: Shaping Representations for Detecting Out-of-Distribution Objects NIPS 2022 Learning Diverse-Structured Networks for Adversarial Robustness ICML 2021 How to Save your Annotation Cost for Panoptic Segmentation? AAAI 2021 Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding NIPS 2020