Ran El‐Yaniv

1. Selective Classification for Deep Neural Networks
   2017/05/23 by Yonatan Geifman, Ran El‐Yaniv, Geifman, Yonatan +2 · 1 voice · 69 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications #cs.AI #cs.LG
2. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
   2016/09/22 by Itay Hubara, Matthieu Courbariaux, Hubara, Itay +7 · 142 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
3. SelectiveNet: A Deep Neural Network with an Integrated Reject Option
   2019/01/26 by Yonatan Geifman, Geifman, Yonatan, Ran El‐Yaniv +1 · 34 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
4. Llama-Nemotron: Efficient Reasoning Models
   2025/05/02 by Akhiad Bercovich, Bercovich, Akhiad, Itay Levy +224 · 1 voice · 38 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
5. Deep Anomaly Detection Using Geometric Transformations
   2018/05/28 by Izhak Golan, Ran El‐Yaniv, Golan, Izhak +1 · 19 citations
   Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection
6. Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
   2018/05/21 by Yonatan Geifman, Geifman, Yonatan, Guy Uziel +3 · 7 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
7. Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
   2019/06/15 by Yair Feldman, Ran El‐Yaniv, Feldman, Yair +1 · 4 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
8. HydroNets: Leveraging River Structure for Hydrologic Modeling
   2020/07/01 by Zach Moshe, Asher Metzger, Moshe, Zach +9 · 3 citations
   Environmental Science · #FOS: Computer and information sciences #Flood Risk Assessment and Management #Hydrological Forecasting Using AI #Hydrology and Watershed Management Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Multi-Objective Non-parametric Sequential Prediction
   2017/03/05 by Guy Uziel, Ran El‐Yaniv, Uziel, Guy +1 · 2 citations
   Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Advanced Control Systems Optimization #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. The Relationship Between Agnostic Selective Classification Active\n Learning and the Disagreement Coefficient
    2017/03/19 by Roei Gelbhart, Ran El‐Yaniv, Gelbhart, Roei +1 · 1 citation
    Computer Science · #Algorithms and Data Compression #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Topic Modeling
11. Deep Active Learning with a Neural Architecture Search
    2018/11/19 by Yonatan Geifman, Geifman, Yonatan, Ran El‐Yaniv +1 · 1 citation
    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 #Optimization and Search Problems
12. Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
    2024/11/28 by Akhiad Bercovich, Tomer Ronen, Bercovich, Akhiad +48 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
13. Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
    2025/02/11 by Ido Galil, Galil, Ido, Moshe Kimhi +3 · 3 citations
    Computer Science · #Neural Networks and Applications
14. Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
    2025/03/18 by Guy Bar-Shalom, Fabrizio Frasca, Bar-Shalom, Guy +13 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing #Rough Sets and Fuzzy Logic
15. Hierarchical Selective Classification
    2024/05/19 by Shani Goren, Ido Galil, Goren, Shani +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
16. Deep Learning of Robotic Tasks without a Simulator using Strong and Weak Human Supervision
    2016/12/04 by Bar Hilleli, Ran El‐Yaniv, Hilleli, Bar +1 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)