Ran El-Yaniv

Advancing Image Classification with Discrete Diffusion Classification Modeling CVPR 2026 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 NeurIPS 2024 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 Window-Based Distribution Shift Detection for Deep Neural Networks NeurIPS 2023 TransBoost: Improving the Best ImageNet Performance using Deep Transduction NeurIPS 2022 Disrupting Deep Uncertainty Estimation Without Harming Accuracy NeurIPS 2021 Net-DNF: Effective Deep Modeling of Tabular Data ICLR 2021 TranstextNet: Transducing Text for Recognizing Unseen Visual Relationships WACV 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 NeurIPS 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 NeurIPS 2018 Growth-Optimal Portfolio Selection under CVaR Constraints AISTATS 2018 Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations JMLR 2018 Multi-Objective Non-parametric Sequential Prediction NeurIPS 2017 Selective Classification for Deep Neural Networks NeurIPS 2017 Binarized Neural Networks NeurIPS 2016 A Compression Technique for Analyzing Disagreement-Based Active Learning JMLR 2015 Concept Drift Detection Through Resampling ICML 2014 Active Learning via Perfect Selective Classification JMLR 2012 Pointwise Tracking the Optimal Regression Function NeurIPS 2012 Agnostic Selective Classification NeurIPS 2011 Selective Prediction of Financial Trends with Hidden Markov Models NeurIPS 2011 On the Foundations of Noise-free Selective Classification JMLR 2010 Optimal Single-Class Classification Strategies NeurIPS 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