Hoi, Steven
- BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
2023/01/30 by Junnan Li, Li, Junnan, Dongxu Li +5 · 1100 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques
- BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
2022/01/28 by Junnan Li, Li, Junnan, Dongxu Li +5 · 645 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
- InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
2023/05/11 by Wenliang Dai, Dai, Wenliang, Junnan Li +15 · 479 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
2021/07/16 by Junnan Li, Li, Junnan, Ramprasaath R. Selvaraju +9 · 165 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
- ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
2022/02/03 by Woo, Gerald, Liu, Chenghao, Sahoo, Doyen +2 · 17 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
2022/02/03 by Gerald Woo, Woo, Gerald, Chenghao Liu +6 · 17 citations
Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Forecasting Techniques and Applications
- Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
2025/11/27 by Z-Image Team, Image Team, Huanqia Cai +46 · 2 voices · 19 citations
Computer Science · #Advanced Neural Network Applications #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques #cs.CV
- Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
2020/10/12 by Pan Zhou, Jiashi Feng, Zhou, Pan +9 · 11 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
2020/11/23 by Junnan Li, Caiming Xiong, Li, Junnan +3 · 11 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications #AI in cancer detection
- OmniAvatar: Efficient Audio-Driven Avatar Video Generation with Adaptive Body Animation
2025/06/23 by Gan, Qijun, Yang, Ruizi, Zhu, Jianke +2 · 33 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimedia (cs.MM)
- RegNet: Self-Regulated Network for Image Classification
2021/01/03 by Jing Xu, Pan Yu, Xu, Jing +9 · 5 citations
Computer Science · Neuroscience · #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning and ELM #electronic engineering #information engineering
- Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering
2018/12/13 by Peng Gao, Zhengkai Jiang, Peng, Gao +11 · 5 citations
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
- Merlion: A Machine Learning Library for Time Series
2021/09/20 by Aadyot Bhatnagar, Bhatnagar, Aadyot, Paul Kassianik +43 · 5 citations
Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Software (cs.MS) #Time Series Analysis and Forecasting
- TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
2020/04/15 by Chien-Sheng Wu, Steven C. H. Hoi, Wu, Chien-Sheng +5 · 4 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Speech and dialogue systems #Text Readability and Simplification #Topic Modeling
- The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation
2020/07/23 by Wang, Tao, Li, Yu, Kang, Bingyi +5 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
2023/12/12 by Giang Do, Do, Giang, Khiem Le +18 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Expert finding and Q&A systems #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Speech Recognition and Synthesis #Speech and Audio Processing
- Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
2025/11/27 by Dongyang Liu, Liu, Dongyang, Peng Gao +18 · 9 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques
- Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5
2022/11/27 by Nghi D. Q. Bui, Bui, Nghi D. Q., Yue Wang +3 · 2 citations
Computer Science · #Software Engineering Research #Software Testing and Debugging Techniques #Software System Performance and Reliability
- Distribution Matching Distillation Meets Reinforcement Learning
2025/11/17 by Dengyang Jiang, Jiang, Dengyang, Dongyang Liu +21 · 6 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques
- Towards Noise-resistant Object Detection with Noisy Annotations
2020/03/03 by Li, Junnan, Xiong, Caiming, Socher, Richard +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition
2024/02/04 by Pham, Quang, Do, Giang, Nguyen, Huy +8 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- DualNet: Continual Learning, Fast and Slow
2021/10/01 by Quang Pham, Pham, Quang, Liu Chenghao +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Human Pose and Action Recognition
- MAI-UI Technical Report: Real-World Centric Foundation GUI Agents
2025/12/26 by Zhou, Hanzhang, Zhang, Xu, Tong, Panrong +8 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Learning Deep Time-index Models for Time Series Forecasting
2022/07/13 by Gerald Woo, Woo, Gerald, Chenghao Liu +6 · 1 citation
Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Forecasting Techniques and Applications
- LogAI: A Library for Log Analytics and Intelligence
2023/01/31 by Qian Cheng, Cheng, Qian, Amrita Saha +9 · 1 citation
Computer Science · #Software System Performance and Reliability #Anomaly Detection Techniques and Applications #Time Series Analysis and Forecasting
- Active Learning with Expert Advice
2013/09/26 by Peilin Zhao, Zhao, Peilin, Steven C. H. Hoi +3 · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Data Stream Mining Techniques