| Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems | Aug 27, 2018 | Multi-Task Learningquantile regression | CodeCode Available | 1 |
| BEVTrack: A Simple and Strong Baseline for 3D Single Object Tracking in Bird's-Eye View | Sep 5, 2023 | 3D Single Object TrackingAutonomous Driving | CodeCode Available | 1 |
| BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression | Apr 1, 2021 | regression | CodeCode Available | 1 |
| BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale | Dec 4, 2021 | BenchmarkingHyperparameter Optimization | CodeCode Available | 1 |
| BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation | May 7, 2022 | 6D Pose EstimationBenchmarking | CodeCode Available | 1 |
| Calibrated Explanations for Regression | Aug 30, 2023 | counterfactualExplainable artificial intelligence | CodeCode Available | 1 |
| Bayesian inference for logistic models using Polya-Gamma latent variables | May 2, 2012 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 |
| Bayesian Graph Neural Networks for Molecular Property Prediction | Nov 25, 2020 | Molecular Property PredictionPrediction | CodeCode Available | 1 |
| Bayesian Optimization of Catalysis With In-Context Learning | Apr 11, 2023 | Bayesian OptimizationFeature Engineering | CodeCode Available | 1 |
| Bayesian Additive Regression Networks | Apr 5, 2024 | regression | CodeCode Available | 1 |