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Kawaguchi, Kenji

  1. Deep Learning without Poor Local Minima
    2016/05/23 by Kenji Kawaguchi, Kawaguchi, Kenji · 1 voice · 14 citations
    #stat.ML #cs.LG #math.OC
  2. Self-Evaluation Guided Beam Search for Reasoning
    2023/05/01 by Yuxi Xie, Xie, Yuxi, Kenji Kawaguchi +11 · 39 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  3. Multi-Task Learning as a Bargaining Game
    2022/02/02 by Aviv Navon, Navon, Aviv, Aviv Shamsian +11 · 29 citations
    Computer Science · #Computer Science and Game Theory (cs.GT) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  4. Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
    2024/05/01 by Xie, Yuxi, Goyal, Anirudh, Zheng, Wenyue +4 · 42 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. How Does Information Bottleneck Help Deep Learning?
    2023/05/30 by Kawaguchi, Kenji, Deng, Zhun, Ji, Xu +1 · 22 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  6. MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
    2023/10/19 by Liu, Zhiyuan, Li, Sihang, Luo, Yanchen +5 · 24 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimedia (cs.MM)
  7. How do Large Language Models Handle Multilingualism?
    2024/02/29 by Zhao, Yiran, Zhang, Wenxuan, Chen, Guizhen +2 · 25 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  8. Simple Hierarchical Planning with Diffusion
    2024/01/05 by Chen, Chang, Deng, Fei, Kawaguchi, Kenji +2 · 20 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. How Does Mixup Help With Robustness and Generalization?
    2020/10/09 by Zhang, Linjun, Deng, Zhun, Kawaguchi, Kenji +2 · 10 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
    2023/05/28 by Minki Kang, Seanie Lee, Kang, Minki +7 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  11. Combined Scaling for Zero-shot Transfer Learning
    2021/11/19 by Hieu Pham, Zihang Dai, Pham, Hieu +17 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  12. Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization
    2019/07/09 by Kenji Kawaguchi, Haihao Lu, Kawaguchi, Kenji +1 · 6 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Sparse and Compressive Sensing Techniques
  13. Towards 3D Molecule-Text Interpretation in Language Models
    2024/01/25 by Li, Sihang, Liu, Zhiyuan, Luo, Yanchen +5 · 11 citations
    #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  14. Theory of Deep Learning III: explaining the non-overfitting puzzle
    2017/12/30 by Tomaso Poggio, Poggio, Tomaso, Kenji Kawaguchi +13 · 9 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Gaussian Processes and Bayesian Inference
  15. Learning diverse attacks on large language models for robust red-teaming and safety tuning
    2024/05/28 by Seanie Lee, Minsu Kim, Lee, Seanie +19 · 12 citations
    Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Topic Modeling #Web Application Security Vulnerabilities
  16. Bayesian Optimization with Exponential Convergence
    2016/04/05 by Kenji Kawaguchi, Leslie Pack Kaelbling, Kawaguchi, Kenji +3 · 5 citations
    Decision Sciences · Engineering · Computer Science · #Advanced Bandit Algorithms Research #Sparse and Compressive Sensing Techniques #Gaussian Processes and Bayesian Inference
  17. Elimination of All Bad Local Minima in Deep Learning
    2019/01/02 by Kenji Kawaguchi, Kawaguchi, Kenji, Leslie Pack Kaelbling +1 · 1 voice · 2 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #cs.LG #cs.NE #math.OC #stat.ML
  18. Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
    2023/10/23 by Zhiyuan Liu, Yaorui Shi, Liu, Zhiyuan +11 · 8 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Machine Learning in Materials Science #Computational Drug Discovery Methods
  19. Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
    2024/03/02 by Yiran Zhao, Zhao, Yiran, Wenyue Zheng +11 · 8 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Medical Image Segmentation Techniques #Advanced Vision and Imaging
  20. Aligning Large Language Models with Human Opinions through Persona Selection and Value--Belief--Norm Reasoning
    2023/11/14 by Xuan Long Do, Kenji Kawaguchi, Long, Do Xuan +5 · 6 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining #Topic Modeling
  21. Investigating Layer Importance in Large Language Models
    2024/09/22 by Yang Zhang, Yanfei Dong, Zhang, Yang +3 · 8 citations
    Computer Science · #Topic Modeling
  22. PromptArmor: Simple yet Effective Prompt Injection Defenses
    2025/07/21 by Shi, Tianneng, Zhu, Kaijie, Wang, Zhun +13 · 25 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  23. Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph
    2022/11/20 by Haonan Wang, Wang, Haonan, Jieyu Zhang +7 · 4 citations
    Computer Science · Social Sciences · #Advanced Graph Neural Networks #E-Government and Public Services #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  24. MGNNI: Multiscale Graph Neural Networks with Implicit Layers
    2022/10/15 by Juncheng Liu, Bryan Hooi, Liu, Juncheng +5 · 4 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantum many-body systems
  25. Sketch-Based Anomaly Detection in Streaming Graphs
    2021/06/08 by Siddharth Bhatia, Bhatia, Siddharth, Mohit Wadhwa +9 · 3 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
  26. LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs
    2024/08/16 by Do Xuan Long, Hai Nguyen Ngoc, Long, Do Xuan +13 · 6 citations
    Computer Science · Decision Sciences · #Research Data Management Practices #scientometrics and bibliometrics research #Academic Publishing and Open Access
  27. Reasoning Robustness of LLMs to Adversarial Typographical Errors
    2024/11/08 by Eric Gan, Yiran Zhao, Gan, Esther +12 · 7 citations
    Computer Science · #Natural Language Processing Techniques
  28. When and How Mixup Improves Calibration
    2021/02/11 by Linjun Zhang, Zhun Deng, Zhang, Linjun +5 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  29. ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining
    2024/05/23 by Liu, Zhiyuan, Shi, Yaorui, Zhang, An +5 · 6 citations
    #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Multimedia (cs.MM) #Quantitative Methods (q-bio.QM)
  30. Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions
    2021/05/20 by Jagtap, Ameya D., Shin, Yeonjong, Kawaguchi, Kenji +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  31. EIGNN: Efficient Infinite-Depth Graph Neural Networks
    2022/02/22 by Juncheng Liu, Kenji Kawaguchi, Liu, Juncheng +7 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  32. Drug Discovery with Dynamic Goal-aware Fragments
    2023/10/02 by Seul Lee, Seanie Lee, Lee, Seul +3 · 4 citations
    Computer Science · Materials Science · Decision Sciences · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Scientific Computing and Data Management
  33. Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
    2024/06/20 by Qianli Shen, Shen, Qianli, Yezhen Wang +15 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
  34. Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
    2022/04/01 by Lavoie, Samuel, Tsirigotis, Christos, Schwarzer, Max +4 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  35. GFlowOut: Dropout with Generative Flow Networks
    2022/10/24 by Dianbo Liu, Moksh Jain, Liu, Dianbo +23 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
  36. State-space models are accurate and efficient neural operators for dynamical systems
    2024/09/05 by Hu, Zheyuan, Daryakenari, Nazanin Ahmadi, Shen, Qianli +2 · 6 citations
    #Dynamical Systems (math.DS) #F.2.2 #FOS: Computer and information sciences #FOS: Mathematics #I.2.7 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
  37. Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning
    2016/10/19 by Qianli Liao, Kenji Kawaguchi, Liao, Qianli +3 · 2 citations
    Computer Science · Neuroscience · #Neural Networks and Applications #Blind Source Separation Techniques #Neural dynamics and brain function
  38. AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
    2024/02/29 by Zhao, Yiran, Zhang, Wenxuan, Wang, Huiming +2 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  39. Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
    2024/03/11 by Yang Zhang, Zhang, Yang, Teoh Tze Tzun +7 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
  40. ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
    2024/05/21 by Liu, Zhiyuan, Zhang, An, Fei, Hao +4 · 5 citations
    #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Multimedia (cs.MM) #Quantitative Methods (q-bio.QM)
  41. Learnable Sparsity for Vision Generative Models
    2024/12/03 by Zhang, Yang, Jin, Er, Liang, Wenzhong +5 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  42. Auxiliary Learning as an Asymmetric Bargaining Game
    2023/01/31 by Aviv Shamsian, Aviv Navon, Shamsian, Aviv +9 · 3 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  43. Towards Domain-Agnostic Contrastive Learning
    2020/11/09 by Verma, Vikas, Luong, Minh-Thang, Kawaguchi, Kenji +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  44. Self-Supervised Dataset Distillation for Transfer Learning
    2023/10/10 by Lee, Dong Bok, Lee, Seanie, Ko, Joonho +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  45. Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
    2021/05/10 by Xu, Keyulu, Zhang, Mozhi, Jegelka, Stefanie +1 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  46. MemStream: Memory-Based Streaming Anomaly Detection
    2021/06/07 by Siddharth Bhatia, Arjit Jain, Bhatia, Siddharth +7 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
  47. NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
    2025/02/18 by Zhiyuan Liu, Yanchen Luo, Liu, Zhiyuan +17 · 7 citations
    Materials Science · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
  48. Self-Evaluation as a Defense Against Adversarial Attacks on LLMs
    2024/07/03 by Brown, Hannah, Lin, Leon, Kawaguchi, Kenji +1 · 4 citations
    #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  49. Prompt Optimization via Adversarial In-Context Learning
    2023/12/05 by Do, Xuan Long, Zhao, Yiran, Brown, Hannah +6 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  50. Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation
    2022/08/26 by Jeffrey Willette, Willette, Jeffrey, Lee, Seanie +4 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  51. Robustness Implies Generalization via Data-Dependent Generalization Bounds
    2022/06/27 by Kenji Kawaguchi, Kawaguchi, Kenji, Zhun Deng +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Probability (math.PR)
  52. FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models
    2024/05/28 by Yang Zhang, Yawei Li, Zhang, Yang +13 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  53. An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
    2023/03/01 by Ravid Shwartz-Ziv, Randall Balestriero, Shwartz-Ziv, Ravid +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning and ELM #Neural Networks and Applications
  54. Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
    2024/06/05 by Chen, Brian K, Hu, Tianyang, Jin, Hui +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  55. On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
    2021/02/15 by Kenji Kawaguchi, Kawaguchi, Kenji · 3 citations
    Engineering · Computer Science · Physics and Astronomy · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks
  56. Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
    2023/04/08 by Mao, Yuzhen, Deng, Zhun, Yao, Huaxiu +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  57. Single Character Perturbations Break LLM Alignment
    2024/07/03 by Leon Lin, H. Alex Brown, Lin, Leon +5 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  58. Automatic Model Selection with Large Language Models for Reasoning
    2023/05/23 by Zhao, James Xu, Xie, Yuxi, Kawaguchi, Kenji +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  59. Fast Diffusion Model
    2023/06/12 by Wu, Zike, Zhou, Pan, Kawaguchi, Kenji +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  60. Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
    2025/06/24 by Xue, Shuchen, Xie, Tianyu, Hu, Tianyang +5 · 7 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  61. Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
    2025/03/19 by Luo, Yanchen, Liu, Zhiyuan, Zhao, Yi +6 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  62. Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes
    2019/08/05 by Kenji Kawaguchi, Jiaoyang Huang, Kawaguchi, Kenji +1 · 3 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  63. Can AI Be as Creative as Humans?
    2024/01/03 by Haonan Wang, James Zou, Wang, Haonan +18 · 2 citations
    Materials Science · Computer Science · Social Sciences · #Machine Learning in Materials Science #Topic Modeling #Language and cultural evolution
  64. Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation
    2025/03/17 by Yihong Luo, Tianyang Hu, Luo, Yihong +7 · 6 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques #Computer Graphics and Visualization Techniques
  65. Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations
    2024/02/12 by Zheyuan Hu, Zhongqiang Zhang, Hu, Zheyuan +5 · 2 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Statistical Mechanics and Entropy
  66. Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
    2024/03/11 by Zou, Yingtian, Kawaguchi, Kenji, Liu, Yingnan +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  67. Tensor neural networks for high-dimensional Fokker-Planck equations
    2024/04/08 by Taorui Wang, Wang, Taorui, Zheyuan Hu +7 · 2 citations
    Physics and Astronomy · Computer Science · Mathematics · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Tensor decomposition and applications
  68. Fostering Video Reasoning via Next-Event Prediction
    2025/05/28 by Haonan Wang, Wang, Haonan, Hongfu Liu +11 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
  69. A Recipe for Global Convergence Guarantee in Deep Neural Networks
    2021/04/12 by Kawaguchi, Kenji, Sun, Qingyun · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  70. What Makes a Good Natural Language Prompt?
    2025/06/07 by Do Xuan Long, Long, Do Xuan, Duy Dinh +11 · 5 citations
    Computer Science · Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  71. Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
    2024/11/27 by Zekun Shi, Shi, Zekun, Zheyuan Hu +5 · 3 citations
    Engineering · #FOS: Computer and information sciences #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG)
  72. The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
    2024/02/23 by Jiajun Ma, Shuchen Xue, Ma, Jiajun +13 · 2 citations
    Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Survey Sampling and Estimation Techniques
  73. The Emergence of Abstract Thought in Large Language Models Beyond Any Language
    2025/06/11 by Yuxin Chen, Yiran Zhao, Chen, Yuxin +17 · 4 citations
    Neuroscience · Computer Science · Medicine · #Neurobiology of Language and Bilingualism #Topic Modeling #Artificial Intelligence in Healthcare and Education
  74. Neural Active Learning on Heteroskedastic Distributions
    2022/11/02 by Savya Khosla, Chew Kin Whye, Khosla, Savya +9 · 1 citation
    Computer Science · Physics and Astronomy · #Machine Learning and Algorithms #Model Reduction and Neural Networks #Machine Learning and Data Classification
  75. On Copyright Risks of Text-to-Image Diffusion Models
    2023/09/15 by Zhang, Yang, Tzun, Teoh Tze, Hern, Lim Wei +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graphics (cs.GR) #Multimedia (cs.MM)
  76. VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models
    2023/11/29 by Li, Xiang, Shen, Qianli, Kawaguchi, Kenji · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Multimedia (cs.MM)
  77. Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs
    2023/11/26 by Hu, Zheyuan, Yang, Zhouhao, Wang, Yezhen +2 · 1 citation
    #14J60 #Artificial Intelligence (cs.AI) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
  78. The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline
    2024/01/07 by Wang, Haonan, Shen, Qianli, Tong, Yao +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  79. PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
    2024/06/10 by Chen, Chang, Baek, Junyeob, Deng, Fei +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  80. Minimalist Concept Erasure in Generative Models
    2025/07/16 by Zhang, Yang, Jin, Er, Dong, Yanfei +5 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  81. PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention
    2025/06/16 by Haonan Wang, Wang, Haonan, Brian Chen +9 · 1 citation
    Computer Science · #Natural Language Processing Techniques