- Computational Storytelling And Emotions: A Survey: https://arxiv.org/pdf/2205.10967.pdf
- Are Large Pre-Trained Language Models Leaking Your Personal Information?: https://arxiv.org/pdf/2205.12628.pdf
- FreDo: Frequency Domain-based Long-Term Time Series Forecasting: https://arxiv.org/pdf/2205.12301.pdf
- A Survey on Long-tailed Visual Recognition: https://arxiv.org/pdf/2205.13775.pdf
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors: https://arxiv.org/pdf/2205.12854.pdf
- On the Robustness of Safe Reinforcement Learning under Observational Perturbations: https://arxiv.org/pdf/2205.14691.pdf
- Nesterov’s Acceleration For Level Set-Based Topology Optimization Using Reaction-Diffusion Equations: https://arxiv.org/pdf/2205.14780.pdf
- TransforMAP: Transformer for Memory Access Prediction: https://arxiv.org/pdf/2205.14778.pdf
- Optimization Heuristics for Cost-Efficient Long-Term Cloud Portfolio Allocations Under Uncertainty: https://arxiv.org/pdf/2206.07092.pdf
- Regret-Aware Black-Box Optimization With Natural Gradients, Trust-Regions And Entropy Control: https://arxiv.org/pdf/2206.06090.pdf
- Autonomous Smart Grid Fault Detection: https://arxiv.org/pdf/2206.14150.pdf
- Hamiltonian Monte Carlo Particle Swarm Optimizer: https://arxiv.org/pdf/2206.14134.pdf
- A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers: https://arxiv.org/pdf/2206.11073.pdf
- Roadmap to Autonomous Surgery – A Framework to Surgical Autonomy: https://arxiv.org/pdf/2206.10516.pdf
- Scale-Variant Robust Kernel Optimization for Non-linear Least Squares Problems: https://arxiv.org/pdf/2206.10305.pdf
- Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning: https://arxiv.org/pdf/2206.02662.pdf
- Quantum Optimal Control via Semi-Automatic Differentiation: https://arxiv.org/pdf/2205.15044.pdf
- Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning: https://arxiv.org/pdf/2205.14842.pdf
- CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers: https://arxiv.org/pdf/2205.15868.pdf
- Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition: https://arxiv.org/pdf/2205.14748.pdf
- Modeling Beats And Downbeats With A Time-Frequency Transformer: https://arxiv.org/pdf/2205.14701.pdf
- Learning Security Strategies through Game Play and Optimal Stopping: https://arxiv.org/pdf/2205.14694.pdf
- Provable Benefits of Representational Transfer in Reinforcement Learning: https://arxiv.org/pdf/2205.14571.pdf
- Representation Gap in Deep Reinforcement Learning: https://arxiv.org/pdf/2205.14557.pdf
- Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction: https://arxiv.org/pdf/2205.14526.pdf
- TinyIREE: An ML Execution Environment for Embedded Systems from Compilation to Deployment: https://arxiv.org/pdf/2205.14479.pdf
- A Closer Look at Self-supervised Lightweight Vision Transformers: https://arxiv.org/pdf/2205.14443.pdf
- Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories: https://arxiv.org/pdf/2205.14345.pdf
- Feature subset selection for kernel SVM classification via mixed-integer optimization: https://arxiv.org/pdf/2205.14325.pdf
- WT-MVSNet: Window-based Transformers for Multi-view Stereo: https://arxiv.org/pdf/2205.14319.pdf
- KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal: https://arxiv.org/pdf/2205.14211.pdf
- Reinforced Pedestrian Attribute Recognition With Group Optimization Reward: https://arxiv.org/pdf/2205.14042.pdf
- Future Transformer for Long-term Action Anticipation: https://arxiv.org/pdf/2205.14022.pdf
- Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization: https://arxiv.org/pdf/2205.13948.pdf
- OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving: https://arxiv.org/pdf/2205.14087.pdf
- Deep Reinforcement Learning for Distributed and Uncoordinated Cognitive Radios Resource Allocation: https://arxiv.org/pdf/2205.13944.pdf
- Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design: https://arxiv.org/pdf/2205.13927.pdf
- MPI: Evaluating and Inducing Personality in Pre-trained Language Models: https://arxiv.org/pdf/2206.07550.pdf
- AUTODISC: Automatic Distillation Schedule for Large Language Model Compression: https://arxiv.org/pdf/2205.14570.pdf
- Few-shot Subgoal Planning with Language Models: https://arxiv.org/pdf/2205.14288.pdf
- Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering: https://arxiv.org/pdf/2205.14104.pdf
- Forecasting countries’ gross domestic product from patent data: https://arxiv.org/pdf/2205.13779.pdf
- Differentially Private Decoding in Large Language Models: https://arxiv.org/pdf/2205.13621.pdf
- SWINVRNN: A Data-Driven Ensemble Forecasting Model Via Learned Distribution Perturbation: https://arxiv.org/pdf/2205.13158.pdf
- NATURALPROVER: Grounded Mathematical Proof Generation with Language Models: https://arxiv.org/pdf/2205.12910.pdf
- Global geomagnetic perturbation forecasting using Deep Learning: https://arxiv.org/pdf/2205.12734.pdf
- Detecting Label Errors using Pre-Trained Language Models: https://arxiv.org/pdf/2205.12702.pdf
- Large Language Models are Zero-Shot Clinical Information Extractors: https://arxiv.org/pdf/2205.12689.pdf
- Training Language Models with Memory Augmentation: https://arxiv.org/pdf/2205.12674.pdf
- Autoformalization with Large Language Models: https://arxiv.org/pdf/2205.12615.pdf
- ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data: https://arxiv.org/pdf/2205.12600.pdf
- Machine Learning Operations (MLOps): Overview, Definition, and Architecture: https://arxiv.org/pdf/2205.02302.pdf
- Industry 5.0 is Coming: A Survey on Intelligent NextG Wireless Networks as Technological Enablers: https://arxiv.org/pdf/2205.09084.pdf
- Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges: https://arxiv.org/pdf/2205.08977.pdf
- Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models: https://arxiv.org/pdf/2205.12428.pdf
- ADAMIX: Mixture-Of-Adapter For Parameter-Efficient Tuning Of Large Language Models: https://arxiv.org/pdf/2205.12410.pdf
- TALM: Tool Augmented Language Models: https://arxiv.org/pdf/2205.12255.pdf
- GEOMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models: https://arxiv.org/pdf/2205.12247.pdf
- PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation: https://arxiv.org/pdf/2205.12206.pdf
- Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models: https://arxiv.org/pdf/2205.11758.pdf
- Improving language models fine-tuning with representation consistency targets: https://arxiv.org/pdf/2205.11603.pdf
- Bayesian Networks for Brain-Computer Interfaces: A Survey: https://arxiv.org/pdf/2206.07487.pdf
- Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization: https://arxiv.org/pdf/2205.14521.pdf
- Counterfactual Data Augmentation improves Factuality of Abstractive Summarization: https://arxiv.org/pdf/2205.12416.pdf
- MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification: https://arxiv.org/pdf/2205.12394.pdf
- Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code: https://arxiv.org/pdf/2205.11739.pdf
- Deep Learning for Visual Speech Analysis: A Survey: https://arxiv.org/pdf/2205.10839.pdf
- Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey: https://arxiv.org/pdf/2205.10766.pdf
- Deep Learning for Omnidirectional Vision: A Survey and New Perspectives: https://arxiv.org/pdf/2205.10468.pdf
- A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection: https://arxiv.org/pdf/2205.10014.pdf
- A Survey on Semantics in Automated Data Science: https://arxiv.org/pdf/2205.08018.pdf
- Transformers in 3D Point Clouds: A Survey: https://arxiv.org/pdf/2205.07417.pdf
- Multimodal Conversational AI A Survey of Datasets and Approaches: https://arxiv.org/pdf/2205.06907.pdf
- A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities: https://arxiv.org/pdf/2205.06743.pdf