- Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review: https://arxiv.org/pdf/2202.12205.pdf
- NeuralFusion: Neural Volumetric Rendering under Human-object Interactions: https://arxiv.org/pdf/2202.12825.pdf
- Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection: https://arxiv.org/pdf/2202.07586.pdf
- Deep Recurrent Modelling of Granger Causality with Latent Confounding: https://arxiv.org/pdf/2202.11286.pdf
- Generalizable Information Theoretic Causal Representation: https://arxiv.org/pdf/2202.08388.pdf
- Artificial Intelligence for the Metaverse: A Survey: https://arxiv.org/pdf/2202.10336.pdf
- Survey on Large Scale Neural Network Training: https://arxiv.org/pdf/2202.10435.pdf
- Learning stochastic dynamics and predicting emergent behavior using transformers: https://arxiv.org/pdf/2202.08708.pdf
- Transformer for Graphs: An Overview from Architecture Perspective: https://arxiv.org/pdf/2202.08455.pdf
- Transformers in Medical Image Analysis: A Review: https://arxiv.org/pdf/2202.12165.pdf
- Stacked Residuals Of Dynamic Layers For Time Series Anomaly Detection: https://arxiv.org/pdf/2202.12457.pdf
- Recurrent Auto-Encoder with Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection: https://arxiv.org/pdf/2202.10001.pdf
- DC and SA: Robust and Efficient Hyperparameter Optimization of Multisubnetwork Deep Learning Models: https://arxiv.org/pdf/2202.11841.pdf
- Off-Policy Evaluation with Policy-Dependent Optimization Response: https://arxiv.org/pdf/2202.12958.pdf
- SUBMODLIB: A Submodular Optimization Library: https://arxiv.org/pdf/2202.10680.pdf
- Fourier Representations for Black-Box Optimization over Categorical Variables: https://arxiv.org/pdf/2202.03712.pdf
- SNAKE: Bayesian Optimization With Pathwise Exploration: https://arxiv.org/pdf/2202.00060.pdf
- A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities: https://arxiv.org/pdf/2111.14247.pdf
- Interpreting Distributional Reinforcement Learning: Regularization and Optimization Perspectives: https://arxiv.org/pdf/2110.03155.pdf
- Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization: https://arxiv.org/pdf/2009.04899.pdf
- Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games: https://arxiv.org/pdf/2102.08903.pdf
- ANOMALIB: A Deep Learning Library For Anomaly Detection: https://arxiv.org/pdf/2202.08341.pdf
- The NLP Task Effectiveness of Long-Range Transformers: https://arxiv.org/pdf/2202.07856.pdf
- Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach: https://arxiv.org/pdf/2202.11333.pdf
- The Uncertainty Aware Salted Kalman Filter: State Estimation for Hybrid Systems with Uncertain Guards: https://arxiv.org/pdf/2202.12729.pdf
- Towards Robust Off-policy Learning for Runtime Uncertainty: https://arxiv.org/pdf/2202.13337.pdf
- A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning: https://arxiv.org/pdf/2202.10464.pdf
- Self-Supervised and Interpretable Anomaly Detection using Network Transformers: https://arxiv.org/pdf/2202.12997.pdf
- A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models: https://arxiv.org/pdf/2202.08772.pdf
- Self-Supervised Transformers For Unsupervised Object Discovery Using Normalized Cut: https://arxiv.org/pdf/2202.11539.pdf
- A Generative Model for Relation Extraction and Classification: https://arxiv.org/pdf/2202.13229.pdf
- Continuous Human Action Recognition for Human-Machine Interaction: A Review: https://arxiv.org/pdf/2202.13096.pdf
- Slow-Fast Visual Tempo Learning for Video-based Action Recognition: https://arxiv.org/pdf/2202.12116.pdf
- Is Cross-Attention Preferable To Self-Attention For Multi-Modal Emotion Recognition?: https://arxiv.org/pdf/2202.09263.pdf
- Multi-window Data Augmentation Approach for Speech Emotion Recognition: https://arxiv.org/pdf/2010.09895.pdf
- An Efficient DP-SGD Mechanism For Large Scale NLU Models: https://arxiv.org/pdf/2107.14586.pdf
- Learning Cluster Patterns For Abstractive Summarization: https://arxiv.org/pdf/2202.10967.pdf
- Rule Mining over Knowledge Graphs via Reinforcement Learning: https://arxiv.org/pdf/2202.10381.pdf
- Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms: https://arxiv.org/pdf/2201.12728.pdf