Learning to Simulate Realistic LiDARs. | 0 | 0.34 | 2022 |
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. | 0 | 0.34 | 2022 |
Adversarial Attacks on Optimization based Planners | 0 | 0.34 | 2021 |
Modeling Affect-based Intrinsic Rewards for Exploration and Learning | 0 | 0.34 | 2021 |
Unadversarial Examples: Designing Objects for Robust Vision. | 0 | 0.34 | 2021 |
BIRDSAI - A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. | 0 | 0.34 | 2020 |
TartanAir: A Dataset to Push the Limits of Visual SLAM | 0 | 0.34 | 2020 |
Denoised Smoothing: A Provable Defense for Pretrained Classifiers | 0 | 0.34 | 2020 |
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations | 2 | 0.42 | 2020 |
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates | 0 | 0.34 | 2020 |
Synthetic Examples Improve Generalization for Rare Classes | 0 | 0.34 | 2020 |
Do Adversarially Robust ImageNet Models Transfer Better? | 0 | 0.34 | 2020 |
Inverse Optimal Planning For Air Traffic Control | 0 | 0.34 | 2019 |
Characterizing Bias in Classifiers using Generative Models. | 0 | 0.34 | 2019 |
Visceral Machines - Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards. | 0 | 0.34 | 2019 |
Near Real-Time Detection of Poachers from Drones in AirSim. | 1 | 0.38 | 2018 |
Data-driven planning via imitation learning | 2 | 0.40 | 2018 |
Visceral Machines: Reinforcement Learning with Intrinsic Rewards that Mimic the Human Nervous System. | 0 | 0.34 | 2018 |
Identifying Bias in AI using Simulation. | 0 | 0.34 | 2018 |
Farmbeats: An Iot Platform For Data-Driven Agriculture | 20 | 0.76 | 2017 |
Safety-Aware Algorithms for Adversarial Contextual Bandit. | 2 | 0.38 | 2017 |
No-Regret Replanning under Uncertainty. | 0 | 0.34 | 2017 |
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. | 45 | 1.51 | 2017 |
Learning to Gather Information via Imitation. | 1 | 0.35 | 2017 |
Fast second-order cone programming for safe mission planning | 1 | 0.36 | 2017 |
Probabilistic Safety Programs. | 0 | 0.34 | 2016 |
Risk-Aware Algorithms for Adversarial Contextual Bandits. | 0 | 0.34 | 2016 |
Quantum Perceptron Models. | 0 | 0.34 | 2016 |
A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing | 11 | 0.48 | 2016 |
Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks. | 0 | 0.34 | 2016 |
Quantum Perceptron Models. | 10 | 0.59 | 2016 |
The Activity Platform | 0 | 0.34 | 2015 |
A Deep Hybrid Model for Weather Forecasting | 23 | 1.44 | 2015 |
Inferring and Learning from Neuronal Correspondences. | 0 | 0.34 | 2015 |
On Greedy Maximization of Entropy | 0 | 0.34 | 2015 |
Active learning for sparse bayesian multilabel classification | 26 | 0.83 | 2014 |
Airplanes aloft as a sensor network for wind forecasting. | 7 | 0.85 | 2014 |
Riffled independence for efficient inference with partial rankings | 6 | 0.63 | 2014 |
Mining text snippets for images on the web | 4 | 0.45 | 2014 |
Collaborative Personalization of Image Enhancement | 5 | 0.69 | 2014 |
Gauss meets Canadian traveler: shortest-path problems with correlated natural dynamics | 1 | 0.35 | 2014 |
Blind Image Quality Assessment Using Semi-supervised Rectifier Networks | 27 | 0.83 | 2014 |
An Interactive Approach to Solving Correspondence Problems | 3 | 0.41 | 2014 |
Lifelong learning for acquiring the wisdom of the crowd | 11 | 0.57 | 2013 |
On Recovering Structure of Affect | 0 | 0.34 | 2013 |
Food and Mood: Just-in-Time Support for Emotional Eating | 18 | 1.32 | 2013 |
Nobody likes Mondays: foreground detection and behavioral patterns analysis in complex urban scenes | 6 | 0.46 | 2013 |
Active Visual Recognition with Expertise Estimation in Crowdsourcing | 19 | 0.63 | 2013 |
Performance and Preferences: Interactive Refinement of Machine Learning Procedures. | 9 | 0.50 | 2012 |
Learning to Learn: Algorithmic Inspirations from Human Problem Solving. | 6 | 0.54 | 2012 |