Co-occurring keywords · papers mentioning both
Papers
Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
AAAI 2026
A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
ICML 2025
Bayesian Optimization over Bounded Domains with the Beta Product Kernel
UAI 2025
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
AAAI 2025
Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
ICML 2025
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
ICLR 2025
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
ICML 2025
Unconditionally Calibrated Priors for Beta Mixture Density Networks
AISTATS 2025
Beta-LR: Interpretable Logical Reasoning based on Beta Distribution
NAACL 2024
Beta Diffusion
NeurIPS 2023
Star-Shaped Denoising Diffusion Probabilistic Models
NeurIPS 2023
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
NeurIPS 2021
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
EMNLP 2021
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
NeurIPS 2020
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
NeurIPS 2020
Probabilistic Logic Programming with Beta-Distributed Random Variables
AAAI 2019
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers
AISTATS 2017
Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution
ICML 2017
Beta Diffusion Trees
ICML 2014