- A Systematic Exploration Of Reservoir Computing For Forecasting Complex Spatiotemporal Dynamics: https://arxiv.org/pdf/2201.08910.pdf
- FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting: https://arxiv.org/pdf/2201.12740.pdf
- Quantifying Epistemic Uncertainty in Deep Learning: https://arxiv.org/pdf/2110.12122.pdf
- What’s Wrong With Deep Learning In Tree Search For Combinatorial Optimization: https://arxiv.org/pdf/2201.10494.pdf
- A Leap among Quantum Computing and Quantum Neural Networks: A Survey: https://arxiv.org/pdf/2107.03313.pdf
- Causality And Correlation Graph Modeling For Effective And Explainable Session-Based Recommendation: https://arxiv.org/pdf/2201.10782.pdf
- A Survey Of Generalisation In Deep Reinforcement Learning: https://arxiv.org/pdf/2111.09794.pdf
- Common sense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey: https://arxiv.org/pdf/2201.12438.pdf
- Video Is Graph: Structured Graph Module for Video Action Recognition: https://arxiv.org/pdf/2110.05904.pdf
- Learning Curves for Decision Making in Supervised Machine Learning – A Survey: https://arxiv.org/pdf/2201.12150.pdf
- Decision Diagrams for Discrete Optimization: A Survey of Recent Advances: https://arxiv.org/pdf/2201.11536.pdf
- Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection: https://arxiv.org/pdf/2108.09896.pdf
- A Survey on Bias and Fairness in Machine Learning: https://arxiv.org/pdf/1908.09635.pdf
- Estimating Solar and Wind Power Production using Computer Vision Deep Learning Techniques on Weather Maps: https://arxiv.org/pdf/2103.08727.pdf
- Automated Deep Learning: Neural Architecture Search Is Not the End: https://arxiv.org/pdf/2112.09245.pdf
- Exploration in Deep Reinforcement Learning: A Comprehensive Survey: https://arxiv.org/pdf/2109.06668.pdf
- Deep Learning-Based Human Pose Estimation: A Survey: https://arxiv.org/pdf/2012.13392.pdf
- A Survey of Deep Learning for Low-Shot Object Detection: https://arxiv.org/pdf/2112.02814.pdf
- Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping: https://arxiv.org/pdf/2112.13222.pdf
- Multi-Robot Collaborative Perception with Graph Neural Networks: https://arxiv.org/pdf/2201.01760.pdf
- How Attentive Are Graph Attention Networks?: https://arxiv.org/pdf/2105.14491.pdf
- A Survey of Knowledge-Enhanced Text Generation: https://arxiv.org/pdf/2010.04389.pdf
- Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges: https://arxiv.org/pdf/2201.08135.pdf
- Discovering Invariant Rationales For Graph Neural Networks: https://arxiv.org/pdf/2201.12872.pdf
- Hierarchical Contrastive Motion Learning for Video Action Recognition: https://arxiv.org/pdf/2007.10321.pdf
- Transformers in Vision: A Survey: https://arxiv.org/pdf/2101.01169.pdf
- Hyperparameter Tuning For Deep Reinforcement Learning Applications: https://arxiv.org/pdf/2201.11182.pdf
- The Challenges of Exploration for Offline Reinforcement Learning: https://arxiv.org/pdf/2201.11861.pdf
- A Survey of Uncertainty in Deep Neural Networks: https://arxiv.org/pdf/2107.03342.pdf
- Video Transformers: A Survey: https://arxiv.org/pdf/2201.05991.pdf
- On the Acceleration of Deep Learning Model Parallelism with Staleness: https://arxiv.org/pdf/1909.02625.pdf
- Cache Allocation in Multi-Tenant Edge Computing via online Reinforcement Learning: https://arxiv.org/pdf/2201.09833.pdf
- How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents: https://arxiv.org/pdf/2110.03608.pdf
- Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection: https://arxiv.org/pdf/2201.10323.pdf