| Long Horizon Forecasting With Temporal Point Processes | Jan 8, 2021 | Point Processes | CodeCode Available | 1 | 5 |
| Diversity-based Trajectory and Goal Selection with Hindsight Experience Replay | Aug 17, 2021 | Deep Reinforcement LearningDiversity | CodeCode Available | 1 | 5 |
| TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models | Oct 2, 2024 | Computational Efficiencyparameter-efficient fine-tuning | CodeCode Available | 1 | 5 |
| Transformer Hawkes Process | Feb 21, 2020 | Computational EfficiencyPoint Processes | CodeCode Available | 1 | 5 |
| Rumor Detection with Diverse Counterfactual Evidence | Jul 18, 2023 | counterfactualDiversity | CodeCode Available | 1 | 5 |
| Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families | Feb 14, 2024 | Gaussian ProcessesPoint Processes | CodeCode Available | 1 | 5 |
| Enhancing human learning via spaced repetition optimization | Jan 22, 2019 | MemorizationPoint Processes | CodeCode Available | 1 | 5 |
| Automatic Integration for Spatiotemporal Neural Point Processes | Oct 9, 2023 | Point Processes | CodeCode Available | 1 | 5 |
| Effective Diversity in Population Based Reinforcement Learning | Feb 3, 2020 | DiversityPoint Processes | CodeCode Available | 1 | 5 |
| Fast and Flexible Temporal Point Processes with Triangular Maps | Jun 22, 2020 | Point ProcessesVariational Inference | CodeCode Available | 1 | 5 |
| Memory Replay with Data Compression for Continual Learning | Feb 14, 2022 | Autonomous Drivingclass-incremental learning | CodeCode Available | 1 | 5 |
| Learning Granger Causality for Hawkes Processes | Feb 14, 2016 | ClusteringPoint Processes | CodeCode Available | 1 | 5 |
| PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design | Jun 7, 2021 | Design SynthesisDiversity | CodeCode Available | 1 | 5 |
| METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design | Jun 1, 2020 | Physical SimulationsPoint Processes | CodeCode Available | 1 | 5 |
| Modelling Behavioural Diversity for Learning in Open-Ended Games | Mar 14, 2021 | DiversityPoint Processes | CodeCode Available | 1 | 5 |
| Neural Jump Stochastic Differential Equations | May 24, 2019 | Point ProcessesTime Series | CodeCode Available | 1 | 5 |
| Compositional Exemplars for In-context Learning | Feb 11, 2023 | Code GenerationContrastive Learning | CodeCode Available | 1 | 5 |
| Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots | Apr 15, 2020 | Bayesian OptimizationPoint Processes | CodeCode Available | 1 | 5 |
| Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet | Nov 4, 2014 | Object RecognitionPoint Processes | CodeCode Available | 1 | 5 |
| Counterfactual Temporal Point Processes | Nov 15, 2021 | counterfactualPoint Processes | CodeCode Available | 1 | 5 |
| Diversity Networks: Neural Network Compression Using Determinantal Point Processes | Nov 16, 2015 | DiversityNeural Network Compression | CodeCode Available | 0 | 5 |
| An information-theoretic framework to measure the dynamic interaction between neural spike trains | Dec 15, 2020 | Point Processes | CodeCode Available | 0 | 5 |
| Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series | Apr 30, 2020 | Causal InferencePoint Processes | CodeCode Available | 0 | 5 |
| Diversity-Aware Batch Active Learning for Dependency Parsing | Apr 28, 2021 | Active LearningDependency Parsing | CodeCode Available | 0 | 5 |
| Diverse Online Feature Selection | Jun 12, 2018 | Diversityfeature selection | CodeCode Available | 0 | 5 |
