Co-occurring keywords · papers mentioning both
Papers
Bayesian Deep Learning via Subnetwork Inference
ICML 2021
Bayesian Distributional Policy Gradients
AAAI 2021
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
ICLR 2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
CVPR 2021
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
ICCV 2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion
NeurIPS 2021
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking
EMNLP 2021
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
EMNLP 2021
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
NeurIPS 2021
Black Box Probabilistic Numerics
NeurIPS 2021
Bootstrapping the Error of Oja's Algorithm
NeurIPS 2021
Bounded-cost Search Using Estimates of Uncertainty
IJCAI 2021
Calibrated Adaptive Probabilistic ODE Solvers
AISTATS 2021
Calibrate your listeners! Robust communication-based training for pragmatic speakers
EMNLP 2021
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning
AAAI 2021
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
AAAI 2021
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
NeurIPS 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
ICML 2021
Composing Normalizing Flows for Inverse Problems
ICML 2021
Confidence in causal discovery with linear causal models
UAI 2021
Conformal Time-series Forecasting
NeurIPS 2021
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness
JMLR 2021
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty
AAAI 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
NeurIPS 2021
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
AAAI 2021