Yixuan Li

186 papers A* 55A 2Journal 116Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Unified Understanding and Evaluation of Steering Methods.
CoRR
Shawn Im, Yixuan Li
2025 A* conf
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts.
ICLR
Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha
2025 J jnl
Can Your Uncertainty Scores Detect Hallucinated Entity?
CoRR
Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li
2025 J jnl
Category-free Out-of-Distribution Node Detection with Feature Resonance.
CoRR
Shenzhi Yang, Junbo Zhao, Shouqing Yang, Yixuan Li, Dingyu Yang, Xiaofang Zhang, Haobo Wang
2025 J jnl
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement.
Trans. Mach. Learn. Res.
Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra
2025 A* conf
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation.
ICLR
Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han
2025 J jnl
Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
CoRR
Hyeong Kyu Choi, Xiaojin Zhu, Yixuan Li
2025 J jnl
GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity.
CoRR
Seongheon Park, Yixuan Li
2025 J jnl
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.
Trans. Mach. Learn. Res.
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Helen Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa
2025 J jnl
GeoArena: An Open Platform for Benchmarking Large Vision-language Models on WorldWide Image Geolocalization.
CoRR
Pengyue Jia, Yingyi Zhang, Xiangyu Zhao, Yixuan Li
2025 J jnl
GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization.
CoRR
Pengyue Jia, Seongheon Park, Song Gao, Xiangyu Zhao, Yixuan Li
2025 J jnl
HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection.
Trans. Mach. Learn. Res.
Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li
2025 A* conf
How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence.
ICML
Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li
2025 J jnl
How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence.
CoRR
Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li
2025 J jnl
How to Steer LLM Latents for Hallucination Detection?
CoRR
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li
2025 J jnl
MATAI: A Generalist Machine Learning Framework for Property Prediction and Inverse Design of Advanced Alloys.
CoRR
Yanchen Deng, Chendong Zhao, Yixuan Li, Bijun Tang, Xinrun Wang, Zhonghan Zhang, Yuhao Lu, Penghui Yang, Jianguo Huang, Yushan Xiao, Cuntai Guan, Zheng Liu, Bo An
2025 J jnl
Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models.
CoRR
Muxing Li, Zesheng Ye, Yixuan Li, Andy Song, Guangquan Zhang, Feng Liu
2025 J jnl
MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems.
CoRR
Xuanming Zhang, Yuxuan Chen, Min-Hsuan Yeh, Yixuan Li
2025 J jnl
Out-of-Distribution Learning with Human Feedback.
Trans. Mach. Learn. Res.
Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li
2025 — conf
Position: Challenges and Future Directions of Data-Centric AI Alignment.
ICML (Position Papers)
Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Seongheon Park, Leitian Tao, Shawn Im, Yixuan Li
2025 A* conf
Process Reward Model with Q-value Rankings.
ICLR
Wendi Li, Yixuan Li
2025 — conf
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation.
ACL (1)
Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu
2025 J jnl
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation.
CoRR
Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu
2025 J jnl
Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations.
CoRR
Jinyuan Luo, Zhen Fang, Yixuan Li, Seongheon Park, Ling Chen
2025 A* conf
Steer LLM Latents for Hallucination Detection.
ICML
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li
2025 J jnl
Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders.
CoRR
James Oldfield, Shawn Im, Yixuan Li, Mihalis A. Nicolaou, Ioannis Patras, Grigorios G. Chrysos
2025 J jnl
Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding.
CoRR
Lin Long, Changdae Oh, Seongheon Park, Yixuan Li
2025 A* conf
Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach.
ICML
Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li
2025 J jnl
Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach.
CoRR
Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li
2025 A* conf
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models.
ICML
Shuoyuan Wang, Yixuan Li, Hongxin Wei
2025 — conf
Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.
ACL (1)
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa
2025 J jnl
Visual Instruction Bottleneck Tuning.
CoRR
Changdae Oh, Jiatong Li, Shawn Im, Yixuan Li
2025 J jnl
Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator.
CoRR
Beier Luo, Shuoyuan Wang, Yixuan Li, Hongxin Wei
2025 A* conf
Your Weak LLM is Secretly a Strong Teacher for Alignment.
ICLR
Leitian Tao, Yixuan Li
2024 A* conf
ARGS: Alignment as Reward-Guided Search.
ICLR
Maxim Khanov, Jirayu Burapacheep, Yixuan Li
2024 J jnl
ARGS: Alignment as Reward-Guided Search.
CoRR
Maxim Khanov, Jirayu Burapacheep, Yixuan Li
2024 J jnl
Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts.
CoRR
Jihye Choi, Jayaram Raghuram, Yixuan Li, Somesh Jha
2024 J jnl
Are Vision Transformers Robust to Spurious Correlations?
Int. J. Comput. Vis.
Soumya Suvra Ghosal, Yixuan Li
2024 J jnl
Bridging OOD Detection and Generalization: A Graph-Theoretic View.
CoRR
Han Wang, Yixuan Li
2024 J jnl
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement.
CoRR
Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra
2024 A* conf
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection.
ICLR
Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang
2024 J jnl
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection.
CoRR
Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang
2024 J jnl
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation.
CoRR
Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han
2024 J jnl
FEUDA: Frustratingly Easy Prompt Based Unsupervised Domain Adaptation.
CoRR
Rheeya Uppaal, Yixuan Li, Junjie Hu
2024 J jnl
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.
CoRR
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa
2024 J jnl
Generalized Out-of-Distribution Detection: A Survey.
Int. J. Comput. Vis.
Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu
2024 A* conf
HYPO: Hyperspherical Out-Of-Distribution Generalization.
ICLR
Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li
2024 J jnl
HYPO: Hyperspherical Out-of-Distribution Generalization.
CoRR
Yifei Ming, Haoyue Bai, Julian Katz-Samuels, Yixuan Li
2024 J jnl
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection.
CoRR
Xuefeng Du, Chaowei Xiao, Yixuan Li
2024 J jnl
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
Int. J. Comput. Vis.
Yifei Ming, Yixuan Li
2024 A* conf
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
ICLR
Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li
2024 J jnl
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
CoRR
Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li
2024 J jnl
How Reliable Is Human Feedback For Aligning Large Language Models?
CoRR
Min-Hsuan Yeh, Leitian Tao, Jeffrey Wang, Xuefeng Du, Yixuan Li
2024 A* conf
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
AAAI
Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li
2024 J jnl
Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment.
CoRR
Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
2024 J jnl
On the Generalization of Preference Learning with DPO.
CoRR
Shawn Im, Yixuan Li
2024 J jnl
On the Learnability of Out-of-distribution Detection.
CoRR
Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu
2024 J jnl
On the Learnability of Out-of-distribution Detection.
J. Mach. Learn. Res.
Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu
2024 J jnl
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.
J. Data-centric Mach. Learn. Res.
Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li
2024 J jnl
Out-of-Distribution Learning with Human Feedback.
CoRR
Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li
2024 J jnl
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
2024 J jnl
Process Reward Model with Q-Value Rankings.
CoRR
Wendi Li, Yixuan Li
2024 J jnl
Safety-Aware Fine-Tuning of Large Language Models.
CoRR
Hyeong Kyu Choi, Xuefeng Du, Yixuan Li
2024 A* conf
Targeted Representation Alignment for Open-World Semi-Supervised Learning.
CVPR
Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang
2024 A* conf
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models.
ICML
Yifei Ming, Yixuan Li
2024 J jnl
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models.
CoRR
Yifei Ming, Yixuan Li
2024 J jnl
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models.
CoRR
Shuoyuan Wang, Yixuan Li, Hongxin Wei
2024 A* conf
Understanding the Learning Dynamics of Alignment with Human Feedback.
ICML
Shawn Im, Yixuan Li
2024 J jnl
Understanding the Learning Dynamics of Alignment with Human Feedback.
CoRR
Shawn Im, Yixuan Li
2024 J jnl
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.
CoRR
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa
2024 J jnl
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data.
CoRR
Xuefeng Du, Reshmi Ghosh, Robert Sim, Ahmed Salem, Vitor Carvalho, Emily Lawton, Yixuan Li, Jack W. Stokes
2024 A* conf
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
ICML
Xuefeng Du, Yiyou Sun, Yixuan Li
2024 J jnl
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
CoRR
Xuefeng Du, Yiyou Sun, Yixuan Li
2024 J jnl
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector.
CoRR
Jirayu Burapacheep, Yixuan Li
2024 J jnl
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector.
Trans. Mach. Learn. Res.
Jirayu Burapacheep, Yixuan Li
2024 J jnl
Your Weak LLM is Secretly a Strong Teacher for Alignment.
CoRR
Leitian Tao, Yixuan Li
2023 — conf
A Critical Analysis of Document Out-of-Distribution Detection.
EMNLP (Findings)
Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova
2023 A* conf
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning.
NeurIPS
Yiyou Sun, Zhenmei Shi, Yixuan Li
2023 J jnl
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning.
CoRR
Yiyou Sun, Zhenmei Shi, Yixuan Li
2023 A* conf
Distributionally Robust Optimization with Probabilistic Group.
AAAI
Soumya Suvra Ghosal, Yixuan Li
2023 J jnl
Distributionally Robust Optimization with Probabilistic Group.
CoRR
Soumya Suvra Ghosal, Yixuan Li
2023 A* conf
Dream the Impossible: Outlier Imagination with Diffusion Models.
NeurIPS
Xuefeng Du, Yiyou Sun, Jerry Zhu, Yixuan Li
2023 J jnl
Dream the Impossible: Outlier Imagination with Diffusion Models.
CoRR
Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li
2023 A* conf
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection.
ICML
Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li
2023 J jnl
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection.
CoRR
Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li
2023 J jnl
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
CoRR
Yifei Ming, Yixuan Li
2023 A* conf
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
ICLR
Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li
2023 J jnl
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
CoRR
Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li
2023 — conf
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection.
ACL (1)
Rheeya Uppaal, Junjie Hu, Yixuan Li
2023 J jnl
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection.
CoRR
Rheeya Uppaal, Junjie Hu, Yixuan Li
2023 J jnl
Learning to Augment Distributions for Out-of-Distribution Detection.
CoRR
Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han
2023 A* conf
Learning to Augment Distributions for Out-of-distribution Detection.
NeurIPS
Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han
2023 A* conf
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction.
ICML
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
2023 J jnl
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions.
Trans. Mach. Learn. Res.
Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang
2023 J jnl
Non-Parametric Outlier Synthesis.
CoRR
Leitian Tao, Xuefeng Du, Xiaojin Zhu, Yixuan Li
2023 A* conf
Non-parametric Outlier Synthesis.
ICLR
Leitian Tao, Xuefeng Du, Jerry Zhu, Yixuan Li
2023 J jnl
OpenCon: Open-world Contrastive Learning.
Trans. Mach. Learn. Res.
Yiyou Sun, Yixuan Li
2023 J jnl
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.
CoRR
Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li
2023 A conf
Out-of-distribution Detection via Frequency-regularized Generative Models.
WACV
Mu Cai, Yixuan Li
2023 A* conf
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment.
CVPR
Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu
2023 J jnl
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment.
CoRR
Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu
2023 A conf
Task Agnostic and Post-hoc Unseen Distribution Detection.
WACV
Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi
2023 A* conf
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis.
ICML
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
2023 J jnl
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis.
CoRR
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
2022 J jnl
A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges.
Trans. Mach. Learn. Res.
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou
2022 J jnl
Are Vision Transformers Robust to Spurious Correlations?
CoRR
Soumya Suvra Ghosal, Yifei Ming, Yixuan Li
2022 J jnl
CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection.
CoRR
Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li
2022 — conf
DICE: Leveraging Sparsification for Out-of-Distribution Detection.
ECCV (24)
Yiyou Sun, Yixuan Li
2022 A* conf
Delving into Out-of-Distribution Detection with Vision-Language Representations.
NeurIPS
Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li
2022 J jnl
Delving into Out-of-Distribution Detection with Vision-Language Representations.
CoRR
Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li
2022 A* conf
Is Out-of-Distribution Detection Learnable?
NeurIPS
Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
2022 J jnl
Is Out-of-Distribution Detection Learnable?
CoRR
Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
2022 J jnl
Logit Clipping for Robust Learning against Label Noise.
CoRR
Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li
2022 A* conf
Mitigating Neural Network Overconfidence with Logit Normalization.
ICML
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
2022 J jnl
Mitigating Neural Network Overconfidence with Logit Normalization.
CoRR
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li
2022 A* conf
On the Impact of Spurious Correlation for Out-of-Distribution Detection.
AAAI
Yifei Ming, Hang Yin, Yixuan Li
2022 J jnl
Open-world Contrastive Learning.
CoRR
Yiyou Sun, Yixuan Li
2022 A* conf
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.
NeurIPS
Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu
2022 J jnl
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.
CoRR
Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu
2022 A* conf
Out-of-Distribution Detection with Deep Nearest Neighbors.
ICML
Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li
2022 J jnl
Out-of-distribution Detection via Frequency-regularized Generative Models.
CoRR
Mu Cai, Yixuan Li
2022 J jnl
Out-of-distribution Detection with Deep Nearest Neighbors.
CoRR
Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li
2022 A* conf
POEM: Out-of-Distribution Detection with Posterior Sampling.
ICML
Yifei Ming, Ying Fan, Yixuan Li
2022 J jnl
POEM: Out-of-Distribution Detection with Posterior Sampling.
CoRR
Yifei Ming, Ying Fan, Yixuan Li
2022 A* conf
PiCO: Contrastive Label Disambiguation for Partial Label Learning.
ICLR
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
2022 J jnl
PiCO: Contrastive Label Disambiguation for Partial Label Learning.
CoRR
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
2022 A* conf
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects.
NeurIPS
Xuefeng Du, Gabriel Gozum, Yifei Ming, Yixuan Li
2022 A* conf
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning.
NeurIPS
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
2022 J jnl
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning.
CoRR
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
2022 J jnl
Task Agnostic and Post-hoc Unseen Distribution Detection.
CoRR
Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi
2022 A* conf
Training OOD Detectors in their Natural Habitats.
ICML
Julian Katz-Samuels, Julia B. Nakhleh, Robert D. Nowak, Yixuan Li
2022 J jnl
Training OOD Detectors in their Natural Habitats.
CoRR
Julian Katz-Samuels, Julia B. Nakhleh, Robert Nowak, Yixuan Li
2022 A* conf
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild.
CVPR
Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li
2022 J jnl
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild.
CoRR
Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li
2022 A* conf
VOS: Learning What You Don't Know by Virtual Outlier Synthesis.
ICLR
Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li
2022 J jnl
VOS: Learning What You Don't Know by Virtual Outlier Synthesis.
CoRR
Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li
2021 J jnl
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges.
CoRR
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou
2021 — conf
ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining.
ECML/PKDD (3)
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
2021 A* conf
Can multi-label classification networks know what they don't know?
NeurIPS
Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
2021 J jnl
Can multi-label classification networks know what they don't know?
CoRR
Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
2021 A* conf
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving.
ICCV
Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang
2021 J jnl
Generalized Out-of-Distribution Detection: A Survey.
CoRR
Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu
2021 A* conf
MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space.
CVPR
Rui Huang, Yixuan Li
2021 J jnl
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space.
CoRR
Rui Huang, Yixuan Li
2021 J jnl
Natural Attribute-based Shift Detection.
CoRR
Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi
2021 J jnl
On the Effectiveness of Sparsification for Detecting the Deep Unknowns.
CoRR
Yiyou Sun, Yixuan Li
2021 J jnl
On the Impact of Spurious Correlation for Out-of-distribution Detection.
CoRR
Yifei Ming, Hang Yin, Yixuan Li
2021 A* conf
On the Importance of Gradients for Detecting Distributional Shifts in the Wild.
NeurIPS
Rui Huang, Andrew Geng, Yixuan Li
2021 J jnl
On the Importance of Gradients for Detecting Distributional Shifts in the Wild.
CoRR
Rui Huang, Andrew Geng, Yixuan Li
2021 A* conf
ReAct: Out-of-distribution Detection With Rectified Activations.
NeurIPS
Yiyou Sun, Chuan Guo, Yixuan Li
2021 J jnl
ReAct: Out-of-distribution Detection With Rectified Activations.
CoRR
Yiyou Sun, Chuan Guo, Yixuan Li
2020 A* conf
Energy-based Out-of-distribution Detection.
NeurIPS
Weitang Liu, Xiaoyun Wang, John D. Owens, Yixuan Li
2020 J jnl
Energy-based Out-of-distribution Detection.
CoRR
Weitang Liu, Xiaoyun Wang, John D. Owens, Yixuan Li
2020 J jnl
Robust Out-of-distribution Detection in Neural Networks.
CoRR
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
2020 J jnl
Robust Out-of-distribution Detection via Informative Outlier Mining.
CoRR
Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
2019 A* conf
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search.
CVPR
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
2019 J jnl
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search.
CoRR
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
2019 A* conf
MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data.
KDD
Yina Tang, Fedor Borisyuk, Siddarth Malreddy, Yixuan Li, Yiqun Liu, Sergey Kirshner
2018 — conf
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.
ICLR (Poster)
Shiyu Liang, Yixuan Li, R. Srikant
2018 — conf
Exploring the Limits of Weakly Supervised Pretraining.
ECCV (2)
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
2018 J jnl
Exploring the Limits of Weakly Supervised Pretraining.
CoRR
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
2018 J jnl
Local Spectral Clustering for Overlapping Community Detection.
ACM Trans. Knowl. Discov. Data
Yixuan Li, Kun He, Kyle Kloster, David Bindel, John E. Hopcroft
2018 A* conf
Understanding the Loss Surface of Neural Networks for Binary Classification.
ICML
Shiyu Liang, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant
2018 J jnl
Understanding the Loss Surface of Neural Networks for Binary Classification.
CoRR
Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant
2018 — conf
Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification.
ICLR (Workshop)
Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant
2017 J jnl
Principled Detection of Out-of-Distribution Examples in Neural Networks.
CoRR
Shiyu Liang, Yixuan Li, R. Srikant
2017 — conf
Snapshot Ensembles: Train 1, Get M for Free.
ICLR (Poster)
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
2017 J jnl
Snapshot Ensembles: Train 1, get M for free.
CoRR
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
2017 A* conf
Stacked Generative Adversarial Networks.
CVPR
Xun Huang, Yixuan Li, Omid Poursaeed, John E. Hopcroft, Serge J. Belongie
2017 — conf
Towards Measuring and Inferring User Interest from Gaze.
WWW (Companion Volume)
Yixuan Li, Pingmei Xu, Dmitry Lagun, Vidhya Navalpakkam
2016 A* conf
Convergent Learning: Do different neural networks learn the same representations?
ICLR
Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft
2016 A* conf
In a World That Counts: Clustering and Detecting Fake Social Engagement at Scale.
WWW
Yixuan Li, Oscar Martinez, Xing Chen, Yi Li, John E. Hopcroft
2016 J jnl
Scalable and Robust Local Community Detection via Adaptive Subgraph Extraction and Diffusions.
CoRR
Kyle Kloster, Yixuan Li
2016 J jnl
Stacked Generative Adversarial Networks.
CoRR
Xun Huang, Yixuan Li, Omid Poursaeed, John E. Hopcroft, Serge J. Belongie
2016 A* conf
The Lifecycle and Cascade of WeChat Social Messaging Groups.
WWW
Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft
2015 — conf
Convergent Learning: Do different neural networks learn the same representations?
FE@NIPS
Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft
2015 J jnl
Deep Manifold Traversal: Changing Labels with Convolutional Features.
CoRR
Jacob R. Gardner, Matt J. Kusner, Yixuan Li, Paul Upchurch, Kilian Q. Weinberger, John E. Hopcroft
2015 A* conf
Detecting Overlapping Communities from Local Spectral Subspaces.
ICDM
Kun He, Yiwei Sun, David Bindel, John E. Hopcroft, Yixuan Li
2015 J jnl
Detecting Overlapping Communities from Local Spectral Subspaces.
CoRR
Kun He, Yiwei Sun, David Bindel, John E. Hopcroft, Yixuan Li
2015 J jnl
In a World that Counts: Clustering and Detecting Fake Social Engagement at Scale.
CoRR
Yixuan Li, Oscar Martinez, Xing Chen, Yi Li, John E. Hopcroft
2015 J jnl
On Multicast Capacity and Delay in Cognitive Radio Mobile Ad Hoc Networks.
IEEE Trans. Wirel. Commun.
Jinbei Zhang, Yixuan Li, Zhuotao Liu, Fan Wu, Feng Yang, Xinbing Wang
2015 J jnl
Overlapping Community Detection via Local Spectral Clustering.
CoRR
Yixuan Li, Kun He, David Bindel, John E. Hopcroft
2015 J jnl
The Lifecycle and Cascade of Social Messaging Groups.
CoRR
Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft
2015 A* conf
Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach.
WWW
Yixuan Li, Kun He, David Bindel, John E. Hopcroft
2015 J jnl
Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach.
CoRR
Yixuan Li, Kun He, David Bindel, John E. Hopcroft
2014 J jnl
Multicast Capacity With Max-Min Fairness for Heterogeneous Networks.
IEEE/ACM Trans. Netw.
Yixuan Li, Qiuyu Peng, Xinbing Wang