| Corruption-Robust Offline Reinforcement Learning | 0 | 0.34 | 2022 |
| Discrete-time rate-dependent hysteresis modeling and parameter identification of piezoelectric actuators | 0 | 0.34 | 2022 |
| Game Redesign in No-regret Game Playing | 0 | 0.34 | 2022 |
| Two-Stream Spatial–Temporal Graph Convolutional Networks for Driver Drowsiness Detection | 0 | 0.34 | 2022 |
| RffAe-S: Autoencoder Based on Random Fourier Feature With Separable Loss for Unsupervised Signal Modulation Clustering | 0 | 0.34 | 2022 |
| Game Redesign in No-regret Game Playing. | 0 | 0.34 | 2022 |
| Sequential Attacks On Kalman Filter-Based Forward Collision Warning Systems | 0 | 0.34 | 2021 |
| Policy Gradient Bayesian Robust Optimization For Imitation Learning | 0 | 0.34 | 2021 |
| Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks | 0 | 0.34 | 2021 |
| Adaptive Reward-Poisoning Attacks against Reinforcement Learning | 0 | 0.34 | 2020 |
| Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning | 0 | 0.34 | 2020 |
| Multi-frequency micro-vibration control with hybrid adaptive control algorithm: | 0 | 0.34 | 2020 |
| Optimal Attack Against Autoregressive Models By Manipulating The Environment | 0 | 0.34 | 2020 |
| Teaching a black-box learner | 0 | 0.34 | 2019 |
| Policy Poisoning in Batch Reinforcement Learning and Control | 0 | 0.34 | 2019 |
| Data Poisoning against Differentially-Private Learners: Attacks and Defenses. | 3 | 0.44 | 2019 |
| Fooling Computer Vision into Inferring the Wrong Body Mass Index. | 0 | 0.34 | 2019 |
| Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models | 0 | 0.34 | 2019 |
| Training Set Debugging Using Trusted Items. | 1 | 0.35 | 2018 |
| An Overview of Machine Teaching. | 6 | 0.41 | 2018 |
| Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. | 0 | 0.34 | 2018 |
| Learning Root Source with Marked Multivariate Hawkes Processes. | 0 | 0.34 | 2018 |
| Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? | 0 | 0.34 | 2018 |
| Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes | 1 | 0.37 | 2018 |
| An Optimal Control View of Adversarial Machine Learning. | 1 | 0.36 | 2018 |
| Adversarial Attacks on Stochastic Bandits. | 2 | 0.37 | 2018 |
| Program Synthesis from Visual Specification. | 0 | 0.34 | 2018 |
| Are key-foreign key joins safe to avoid when learning high-capacity classifiers? | 0 | 0.34 | 2017 |
| Explicit Defense Actions Against Test-Set Attacks. | 4 | 0.40 | 2017 |
| Stop That Join! Discarding Dimension Tables when Learning High Capacity Classifiers. | 0 | 0.34 | 2017 |
| Machine Teaching as Search. | 0 | 0.34 | 2016 |
| Active Learning with Oracle Epiphany. | 0 | 0.34 | 2016 |
| Data Poisoning Attacks against Autoregressive Models. | 25 | 0.82 | 2016 |
| To Join or Not to Join?: Thinking Twice about Joins before Feature Selection | 21 | 0.72 | 2016 |
| The Label Complexity of Mixed-Initiative Classifier Training. | 3 | 0.40 | 2016 |
| The Teaching Dimension of Linear Learners | 9 | 0.48 | 2015 |
| S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification | 4 | 0.42 | 2015 |
| Human Memory Search as Initial-Visit Emitting Random Walk | 0 | 0.34 | 2015 |
| Optimal Teaching for Limited-Capacity Human Learners. | 14 | 0.87 | 2014 |
| Crop Type Classification by Simultaneous Use of Satellite Images of Different Resolutions | 3 | 0.48 | 2014 |
| Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models. | 16 | 0.65 | 2014 |
| School Bullying in Twitter and Weibo: A Comparative Study. | 1 | 0.36 | 2014 |
| Inferring air pollution by sniffing social media | 13 | 0.82 | 2014 |
| Machine Teaching for Bayesian Learners. | 0 | 0.34 | 2013 |
| Persistent homology: an introduction and a new text representation for natural language processing | 23 | 1.22 | 2013 |
| An Examination of Regret in Bullying Tweets. | 9 | 0.63 | 2013 |
| Machine Teaching for Bayesian Learners in the Exponential Family. | 21 | 1.14 | 2013 |
| Socioscope: spatio-temporal signal recovery from social media (extended abstract) | 0 | 0.34 | 2013 |
| Learning from Human-Generated Lists. | 3 | 0.41 | 2013 |
| Research on peripheral nerve conduction block by high frequency alternating current stimulation | 0 | 0.34 | 2012 |
