Ran El-Yaniv

33 papers · 2002–2026 · 8 conferences · across top CS/AI conferences

Achievements

+17 more ↓

🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🏃 Academic Marathon (23) 🌟 Keyword Trendsetter Combo (8) 🏆 Grand Slam 🌱 Topic Pioneer 🏆 Keyword Champion 👑 Triple Crown 👥 Mega-Team (26) 🔬 Deep Specialist (13) 💎 Century Club (32) ⚡ Prolific Year (5) 🚀 Conference Pioneer 📈 Trend Setter ❓ The Questioner 🔥 Unstoppable (12) 🗃️ Keyword Collector (133)

Conferences

NIPS (13) JMLR (8) ICLR (4) ICML (3) AISTATS (2) AAAI (1) ACL (1) WACV (1)

Top co-authors

Yonatan Geifman (6) Ido Galil (5) Yair Wiener (5) Guy Uziel (4) Mohammed Dabbah (3) Guy Bar-Shalom (3) Yoshua Bengio (2) Daniel Soudry (2) Itay Hubara (2) Matthieu Courbariaux (2)

Keywords

selective classification (7) deep neural network (6) reject option (4) active learning (4) online learning (4) selective prediction (3) learning theory (2) model compression (2) label complexity (2) uncertainty estimation (2) abstention mechanism (2) bitwise operation (2) image classification (2) sequential prediction (2) stationary ergodic process (2) change detection (1) computer vision (1) game theory (1) anomaly detection (1) representation learning (1)

Papers

Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions AAAI 2026 Puzzle: Distillation-Based NAS for Inference-Optimized LLMs ICML 2025 Hierarchical Selective Classification NIPS 2024 Window-Based Distribution Shift Detection for Deep Neural Networks NIPS 2023 A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet ICLR 2023 What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers? ICLR 2023 TransBoost: Improving the Best ImageNet Performance using Deep Transduction NIPS 2022 Net-DNF: Effective Deep Modeling of Tabular Data ICLR 2021 TranstextNet: Transducing Text for Recognizing Unseen Visual Relationships WACV 2021 Disrupting Deep Uncertainty Estimation Without Harming Accuracy NIPS 2021 Long-and Short-Term Forecasting for Portfolio Selection with Transaction Costs AISTATS 2020 Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers ICLR 2019 Deep Active Learning with a Neural Architecture Search NIPS 2019 Multi-Hop Paragraph Retrieval for Open-Domain Question Answering ACL 2019 SelectiveNet: A Deep Neural Network with an Integrated Reject Option ICML 2019 The Relationship Between Agnostic Selective Classification, Active Learning and the Disagreement Coefficient JMLR 2019 Deep Anomaly Detection Using Geometric Transformations NIPS 2018 Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations JMLR 2018 Growth-Optimal Portfolio Selection under CVaR Constraints AISTATS 2018 Selective Classification for Deep Neural Networks NIPS 2017 Multi-Objective Non-parametric Sequential Prediction NIPS 2017 Binarized Neural Networks NIPS 2016 A Compression Technique for Analyzing Disagreement-Based Active Learning JMLR 2015 Concept Drift Detection Through Resampling ICML 2014 Pointwise Tracking the Optimal Regression Function NIPS 2012 Active Learning via Perfect Selective Classification JMLR 2012 Selective Prediction of Financial Trends with Hidden Markov Models NIPS 2011 Agnostic Selective Classification NIPS 2011 On the Foundations of Noise-free Selective Classification JMLR 2010 Optimal Single-Class Classification Strategies NIPS 2006 Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition JMLR 2006 Distributional Word Clusters vs. Words for Text Categorization JMLR 2003 On Online Learning of Decision Lists JMLR 2002