← Authors

Ran El-Yaniv

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

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (23) 🌟 Keyword Trendsetter Combo (8) πŸ† Grand Slam 🌱 Topic Pioneer πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (26) πŸ”¬ Deep Specialist (13) πŸ’Ž Century Club (32) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ❓ The Questioner πŸ”₯ Unstoppable (12) πŸ—ƒοΈ 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