{"list":"other","total":77,"rows":[{"id":"2203.02155","title":"Training language models to follow instructions with human feedback","created":"2022-03-04","cited_by_count":15971},{"id":"1706.04599","title":"On Calibration of Modern Neural Networks","created":"2017-06-14","cited_by_count":4960},{"id":"1506.02142","title":"Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning","created":"2015-06-06","cited_by_count":4448},{"id":"1612.01474","title":"Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles","created":"2016-12-05","cited_by_count":3926},{"id":"1711.03938","title":"CARLA: An Open Urban Driving Simulator","created":"2017-11-10","cited_by_count":2449},{"id":"2305.16291","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","created":"2023-05-25","cited_by_count":2191},{"id":"1906.02530","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","created":"2019-06-06","cited_by_count":1287},{"id":"2108.10470","title":"Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning","created":"2021-08-24","cited_by_count":998},{"id":"2107.07511","title":"A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification","created":"2021-07-15","cited_by_count":792},{"id":"1711.00199","title":"PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes","created":"2017-11-01","cited_by_count":775},{"id":"1806.01768","title":"Evidential Deep Learning to Quantify Classification Uncertainty","created":"2018-06-05","cited_by_count":732},{"id":"1802.10501","title":"Predictive Uncertainty Estimation via Prior Networks","created":"2018-02-28","cited_by_count":557},{"id":"2106.14405","title":"Habitat 2.0: Training Home Assistants to Rearrange their Habitat","created":"2021-06-28","cited_by_count":511},{"id":"1608.04471","title":"Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm","created":"2016-08-16","cited_by_count":507},{"id":"1904.01685","title":"Measuring Calibration in Deep Learning","created":"2019-04-02","cited_by_count":446},{"id":"1511.02222","title":"Deep Kernel Learning","created":"2015-11-06","cited_by_count":445},{"id":"1910.02600","title":"Deep Evidential Regression","created":"2019-10-07","cited_by_count":355},{"id":"2202.13415","title":"Conformal prediction beyond exchangeability","created":"2022-02-27","cited_by_count":355},{"id":"2304.14365","title":"Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving","created":"2023-04-27","cited_by_count":332},{"id":"2307.01928","title":"Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners","created":"2023-07-04","cited_by_count":308},{"id":"1605.07157","title":"Unsupervised Learning for Physical Interaction through Video Prediction","created":"2016-05-23","cited_by_count":260},{"id":"1709.07523","title":"Hamilton-Jacobi Reachability: A Brief Overview and Recent Advances","created":"2017-09-21","cited_by_count":201},{"id":"2108.03272","title":"iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks","created":"2021-08-06","cited_by_count":194},{"id":"1503.01057","title":"Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)","created":"2015-03-03","cited_by_count":177},{"id":"2006.09239","title":"Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts","created":"2020-06-16","cited_by_count":164},{"id":"1811.12709","title":"Evaluating Bayesian Deep Learning Methods for Semantic Segmentation","created":"2018-11-30","cited_by_count":143},{"id":"2402.10978","title":"Language Models with Conformal Factuality Guarantees","created":"2024-02-15","cited_by_count":131},{"id":"2107.08924","title":"Epistemic Neural Networks","created":"2021-07-19","cited_by_count":120},{"id":"2210.10254","title":"Safe Planning in Dynamic Environments using Conformal Prediction","created":"2022-10-19","cited_by_count":119},{"id":"2011.10671","title":"A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving","created":"2020-11-20","cited_by_count":115},{"id":"2309.03185","title":"Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields","created":"2023-09-06","cited_by_count":91},{"id":"1906.01728","title":"BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators","created":"2019-06-04","cited_by_count":85},{"id":"2109.02123","title":"Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations","created":"2021-09-05","cited_by_count":82},{"id":"2005.02575","title":"Active Preference-Based Gaussian Process Regression for Reward Learning","created":"2020-05-06","cited_by_count":71},{"id":"2301.01392","title":"Benchmarks and Algorithms for Offline Preference-Based Reward Learning","created":"2023-01-03","cited_by_count":56},{"id":"1805.03430","title":"Deep Directional Statistics: Pose Estimation with Uncertainty Quantification","created":"2018-05-09","cited_by_count":45},{"id":"2006.06412","title":"Modeling Human Driving Behavior through Generative Adversarial Imitation Learning","created":"2020-06-10","cited_by_count":45},{"id":"1808.07784","title":"Time-Agnostic Prediction: Predicting Predictable Video Frames","created":"2018-08-23","cited_by_count":37},{"id":"2011.01413","title":"Out-of-Distribution Detection for Automotive Perception","created":"2020-11-03","cited_by_count":37},{"id":"1805.11833","title":"PORCA: Modeling and Planning for Autonomous Driving among Many Pedestrians","created":"2018-05-30","cited_by_count":36},{"id":"1805.12573","title":"Learning a Prior over Intent via Meta-Inverse Reinforcement Learning","created":"2018-05-31","cited_by_count":36},{"id":"1906.07380","title":"Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles","created":"2019-06-18","cited_by_count":30},{"id":"2303.00191","title":"pyribs: A Bare-Bones Python Library for Quality Diversity Optimization","created":"2023-03-01","cited_by_count":30},{"id":"2206.01558","title":"Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning","created":"2022-06-03","cited_by_count":27},{"id":"2311.11056","title":"Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving","created":"2023-11-18","cited_by_count":26},{"id":"1703.07373","title":"FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning","created":"2017-03-21","cited_by_count":23},{"id":"1904.12374","title":"Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning","created":"2019-04-28","cited_by_count":18},{"id":"2007.01418","title":"Learning Orientation Distributions for Object Pose Estimation","created":"2020-07-02","cited_by_count":18},{"id":"2203.14155","title":"How Do We Fail? Stress Testing Perception in Autonomous Vehicles","created":"2022-03-26","cited_by_count":18},{"id":"2402.15368","title":"Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction","created":"2024-02-23","cited_by_count":18},{"id":"2008.06073","title":"Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter","created":"2020-08-13","cited_by_count":16},{"id":"2302.13482","title":"PyReason: Software for Open World Temporal Logic","created":"2023-02-27","cited_by_count":16},{"id":"1812.10687","title":"Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty","created":"2018-12-27","cited_by_count":14},{"id":"2011.09045","title":"Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments","created":"2020-11-18","cited_by_count":13},{"id":"2102.05633","title":"PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments","created":"2021-02-10","cited_by_count":12},{"id":"2210.01368","title":"RAP: Risk-Aware Prediction for Robust Planning","created":"2022-10-04","cited_by_count":12},{"id":"2403.07741","title":"Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation","created":"2024-03-12","cited_by_count":9},{"id":"2403.08106","title":"V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes","created":"2024-03-12","cited_by_count":9},{"id":"1805.07206","title":"Approximate Bayesian inference in spatial environments","created":"2018-05-18","cited_by_count":8},{"id":"1703.04211","title":"Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs","created":"2017-03-13","cited_by_count":7},{"id":"1909.03452","title":"Bayesian Local Sampling-based Planning","created":"2019-09-08","cited_by_count":7},{"id":"2203.06316","title":"FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget","created":"2022-03-12","cited_by_count":7},{"id":"2205.03212","title":"Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning","created":"2022-05-06","cited_by_count":7},{"id":"2212.04554","title":"Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects","created":"2022-12-08","cited_by_count":7},{"id":"2006.10178","title":"Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF","created":"2020-06-17","cited_by_count":6},{"id":"1912.02149","title":"Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment","created":"2019-12-04","cited_by_count":5},{"id":"2203.16633","title":"Model Predictive Optimized Path Integral Strategies","created":"2022-03-30","cited_by_count":5},{"id":"2309.10900","title":"Incremental Multimodal Surface Mapping via Self-Organizing Gaussian Mixture Models","created":"2023-09-19","cited_by_count":5},{"id":"1903.00863","title":"Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference","created":"2019-03-03","cited_by_count":4},{"id":"2307.03167","title":"Risk-Averse Trajectory Optimization via Sample Average Approximation","created":"2023-07-06","cited_by_count":4},{"id":"2309.09212","title":"RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance","created":"2023-09-17","cited_by_count":3},{"id":"2309.10874","title":"Guarantees on Robot System Performance Using Stochastic Simulation Rollouts","created":"2023-09-19","cited_by_count":3},{"id":"1909.07096","title":"Virtual Reality for Robots","created":"2019-09-16","cited_by_count":2},{"id":"2207.05228","title":"Uncertainty-Aware Online Merge Planning with Learned Driver Behavior","created":"2022-07-11","cited_by_count":2},{"id":"2211.11520","title":"Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot","created":"2022-11-15","cited_by_count":2},{"id":"1709.07973","title":"Sparse Bayesian Inference for Dense Semantic Mapping","created":"2017-09-22","cited_by_count":1},{"id":"2307.01886","title":"User-Friendly Safety Monitoring System for Manufacturing Cobots","created":"2023-07-04","cited_by_count":1}],"next_cursor":null}