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Caiming Xiong — all works

138 works · page 2 of 2 · 101–138 · ← Caiming Xiong

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  1. GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetCan Qin et al.2023 · 16 citations
  2. Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization ↗arXiv (Cornell University) · no summary yetStanisław Jastrzȩbski et al.2020 · 16 citations
  3. Towards Noise-resistant Object Detection with Noisy Annotations ↗arXiv (Cornell University) · no summary yetJunnan Li et al.2020 · 14 citations
  4. On the Generalization Gap in Reparameterizable Reinforcement Learning ↗arXiv (Cornell University) · no summary yetHuan Wang et al.2019 · 14 citations
  5. Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression ↗arXiv (Cornell University) · no summary yetTong Niu, Caiming Xiong, Richard Socher2019 · 13 citations
  6. A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs ↗arXiv (Cornell University) · no summary yetShayne Longpre et al.2016 · 13 citations
  7. Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework ↗Proceedings of the 2nd Workshop on Natural Language Processing for Conversational AI · no summary yetMichael Shum et al.2020 · 11 citations
  8. Improved Regularization Techniques for End-to-End Speech Recognition ↗arXiv (Cornell University) · no summary yetYingbo Zhou, Caiming Xiong, Richard Socher2017 · 11 citations
  9. Converse: A Tree-Based Modular Task-Oriented Dialogue System ↗arXiv (Cornell University) · no summary yetTian Xie et al.2022 · 10 citations
  10. Learning World Graphs to Accelerate Hierarchical Reinforcement Learning ↗arXiv (Cornell University) · no summary yetWenling Shang et al.2019 · 10 citations
  11. Online Structured Meta-learning ↗arXiv (Cornell University) · no summary yetHuaxiu Yao et al.2020 · 9 citations
  12. Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width ↗arXiv (Cornell University) · no summary yetYu Bai et al.2020 · 8 citations
  13. Block-diagonal Hessian-free Optimization for Training Neural Networks ↗arXiv (Cornell University) · no summary yetHuishuai Zhang et al.2017 · 8 citations
  14. Shared Imagination: LLMs Hallucinate AlikearXiv:2407.16604Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.2024 · 7 citations
  15. Competitive Experience Replay ↗arXiv (Cornell University) · no summary yetHao Liu et al.2019 · 7 citations
  16. Using Mode Connectivity for Loss Landscape Analysis ↗arXiv (Cornell University) · no summary yetAkhilesh Deepak Gotmare et al.2018 · 7 citations
  17. Local Calibration: Metrics and Recalibration ↗arXiv (Cornell University) · no summary yetRachel Luo et al.2021 · 6 citations
  18. Evaluating State-of-the-Art Classification Models Against Bayes Optimality ↗arXiv (Cornell University) · no summary yetRyan Theisen et al.2021 · 6 citations
  19. DIME: An Information-Theoretic Difficulty Measure for AI Datasets ↗no summary yetPeiliang Zhang et al.2019 · 6 citations
  20. ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models ↗arXiv (Cornell University) · no summary yetJieyu Zhang et al.2024 · 4 citations
  21. The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetNitish Shirish Keskar et al.2020 · 4 citations
  22. ViUniT: Visual Unit Tests for More Robust Visual Programming ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetArtemis Panagopoulou et al.2025 · 3 citations
  23. Predicting with High Correlation Features ↗arXiv (Cornell University) · no summary yetDevansh Arpit, Caiming Xiong, Richard Socher2019 · 3 citations
  24. Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding ↗arXiv (Cornell University) · no summary yetZiyang Wang et al.2025 · 2 citations
  25. Global Capacity Measures for Deep ReLU Networks via Path Sampling ↗arXiv (Cornell University) · no summary yetRyan Theisen et al.2019 · 2 citations
  26. Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning ↗arXiv (Cornell University) · no summary yetDevansh Arpit et al.2020 · 1 citation
  27. Towards the ImageNet-CNN of NLP: Pretraining Sentence Encoders with Machine Translation ↗neural information processing systems · no summary yetBryan McCann et al.2017 · 1 citation
  28. LATTE: Learning to Think with Vision Specialists ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetZixian Ma et al.2025
  29. Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetArtemis Panagopoulou et al.2025
  30. Assessing Local Generalization Capability in Deep Models. ↗International Conference on Artificial Intelligence and Statistics · no summary yetHuan Wang et al.2020
  31. Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization ↗no summary yetHao Liu, Richard Socher, Caiming Xiong2019

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