El-Yaniv, Ran
- Selective Classification for Deep Neural Networks
2017/05/23 by Yonatan Geifman, Ran El-Yaniv, Ran El‐Yaniv +2 · 1 voice · 91 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
- Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
2016/09/22 by Itay Hubara, Matthieu Courbariaux, Hubara, Itay +7 · 187 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)
- SelectiveNet: A Deep Neural Network with an Integrated Reject Option
2019/01/26 by Yonatan Geifman, Geifman, Yonatan, Ran El‐Yaniv +1 · 42 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
- Llama-Nemotron: Efficient Reasoning Models
2025/05/02 by Akhiad Bercovich, Itay Levy, Bercovich, Akhiad +224 · 1 voice · 46 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
- Deep Anomaly Detection Using Geometric Transformations
2018/05/28 by Izhak Golan, Golan, Izhak, Ran El‐Yaniv +1 · 23 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
- Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers
2018/05/21 by Yonatan Geifman, Guy Uziel, Geifman, Yonatan +3 · 15 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
- Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
2025/04/04 by Nvidia Nvidia, NVIDIA, : +289 · 37 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
- Deep Active Learning over the Long Tail
2017/11/02 by Geifman, Yonatan, El-Yaniv, Ran · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
2019/06/15 by Yair Feldman, Feldman, Yair, Ran El‐Yaniv +1 · 5 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
2025/08/20 by NVIDIA, :, Aarti Basant +305 · 24 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Big Data and Digital Economy #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques
- HydroNets: Leveraging River Structure for Hydrologic Modeling
2020/07/01 by Zach Moshe, Moshe, Zach, Asher Metzger +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)
- FFN Fusion: Rethinking Sequential Computation in Large Language Models
2025/03/24 by Akhiad Bercovich, Mohammad Dabbah, Bercovich, Akhiad +33 · 1 voice · 1 citation
Computer Science · #cs.LG
- Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
2024/11/28 by Akhiad Bercovich, Tomer Ronen, Bercovich, Akhiad +48 · 5 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- A Compression Technique for Analyzing Disagreement-Based Active Learning
2014/04/05 by Wiener, Yair, Hanneke, Steve, El-Yaniv, Ran · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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)
- 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
- NVIDIA Nemotron 3: Efficient and Open Intelligence
2025/12/24 by NVIDIA, :, Aaron Blakeman +453 · 5 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
- Deep Active Learning with a Neural Architecture Search
2018/11/19 by Yonatan Geifman, Ran El‐Yaniv, Geifman, Yonatan +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
- 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 · 5 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
- Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
2025/12/23 by NVIDIA, Aaron Blakeman, : +629 · 1 voice · 3 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Multimodal Machine Learning Applications #Topic Modeling #cs.AI #cs.CL #cs.LG
- 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
- Window-Based Distribution Shift Detection for Deep Neural Networks
2022/10/19 by Guy Bar-Shalom, Yonatan Geifman, Bar-Shalom, Guy +3 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- 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)
- Deep Learning of Robotic Tasks without a Simulator using Strong and Weak Human Supervision
2016/12/04 by Bar Hilleli, Hilleli, Bar, Ran El‐Yaniv +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)