- A Critical Look at the Current Usage of Foundation Model for Dense Recognition Task
- A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
- Towards Open Vocabulary Learning: A Survey
- A Survey on Datasets for Decision-making of Autonomous Vehicle
- Visual Tuning
- Visual Question Answering: A Survey on Techniques and Common Trends in Recent Literature
- How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
- Semi-supervised Object Detection: A Survey on Recent Research and Progress
- A survey of the Vision Transformers and its CNN-Transformer based Variants
- A Survey on Contrastive Self-supervised Learning
- A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing
- Comparative Evaluation of Recent Universal Adversarial Perturbations in Image Classification
- A Survey on Video Moment Localization
- Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work
- A Survey of Label-Efficient Deep Learning for 3D Point Clouds
- Vision Transformers for Mobile Applications: A Short Survey
- Attention Mechanisms in Medical Image Segmentation: A Survey
- Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
- Self-Supervised Learning for Point Clouds Data: A Survey
- Hyperbolic Deep Learning in Computer Vision: A Survey
- The Robustness of Computer Vision Models against Common Corruptions: a Survey
- Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
- Semantic Segmentation using Vision Transformers: A survey
- A Review of Deep Learning for Video Captioning
- Advances in Deep Concealed Scene Understanding
- Hyperbolic Geometry in Computer Vision: A Survey
- Transformer-Based Visual Segmentation: A Survey
- Deep Image Matting: A Comprehensive Survey
- Geometric-aware Pretraining for Vision-centric 3D Object Detection
- Robotic Perception of Transparent Objects: A Review
- Trajectory-Prediction with Vision: A Survey
- Deep Learning for Video-based Person Re-Identification: A Survey
- A Cookbook of Self-Supervised Learning
- Deep Learning for Video-Text Retrieval: a Review
- Transformers in Single Object Tracking: An Experimental Survey
- A Comprehensive Survey on Source-free Domain Adaptation
- Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
- A Survey on Semi-Supervised Semantic Segmentation
- Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks
- Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive
- Towards Explainable Visual Anomaly Detection
- Semantic Image Segmentation: Two Decades of Research
- Vision + Language Applications: A Survey
- Vision Language Transformers: A Survey
- Vision-Language Models for Vision Tasks: A Survey
- Self-Supervised Multimodal Learning: A Survey
- Graph Neural Networks in Vision-Language Image Understanding: A Survey
- Multimodal Trajectory Prediction: A Survey
- Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
- A Survey on Few-Shot Class-Incremental Learning
- A Survey of Deep Visual Cross-Domain Few-Shot Learning
- Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
- Meta-learning approaches for few-shot learning: A survey of recent advances
- A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
- A Comprehensive Survey on Segment Anything Model for Vision and Beyond
- How Segment Anything Model (SAM) Boost Medical Image Segmentation: A Survey
- Perceptions and Realities of Text-to-Image Generation
- BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields
- Neural Radiance Fields: Past, Present, and Future
- Neurosymbolic Models for Computer Graphics
- 3D GANs and Latent Space: A comprehensive survey
- Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
- Text-to-Image Generation: Perceptions and Realities
- On the Design Fundamentals of Diffusion Models: A Survey
- Text-to-image Diffusion Models in Generative AI: A Survey
- A Comprehensive Survey on Knowledge Distillation of Diffusion Models
- A Comprehensive Survey on Generative Diffusion Models for Structured Data
- A Survey of Diffusion Models in Natural Language Processing
- Diffusion Models for Time Series Applications: A Survey
- A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
- A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI
- Diffusion Models in NLP: A Survey
- Diffusion Models for Non-autoregressive Text Generation: A Survey
- Multimodal Object Detection in Remote Sensing
- CAPTCHA Types and Breaking Techniques: Design Issues, Challenges, and Future Research Directions
- Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey
- End-to-end Autonomous Driving: Challenges and Frontiers
- Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
- A survey on deep learning approaches for data integration in autonomous driving system
- Adversarial Attacks on Traffic Sign Recognition: A Survey
- LiDAR-Based Place Recognition For Autonomous Driving: A Survey
- Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning
- Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches
- How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence
- Synthetic Datasets for Autonomous Driving: A Survey
- Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving
- Transformer-based models and hardware acceleration analysis in autonomous driving: A survey
- 1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey
- Survey on LiDAR Perception in Adverse Weather Conditions
- Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys
- Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
- Transformer-Based Sensor Fusion for Autonomous Driving: A Survey
- Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
- A Survey of Techniques for Optimizing Transformer Inference
- Full Stack Optimization of Transformer Inference: a Survey
- A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks
- Interpretability in Activation Space Analysis of Transformers: A Focused Survey
- Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
- Mapping Brains with Language Models: A Survey
- Neuronal Cell Type Classification using Deep Learning
- Recent Developments in Recommender Systems: A Survey
- How Can Recommender Systems Benefit from Large Language Models: A Survey
- A Survey on Fairness-aware Recommender Systems
- Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey
- A Survey on Causal Inference for Recommendation
- A Survey on Incremental Update for Neural Recommender Systems
- A Survey on User Behavior Modeling in Recommender Systems
- A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design
- Deep Learning Methods for Small Molecule Drug Discovery: A Survey
- A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
- A Survey on Oversmoothing in Graph Neural Networks
- A Comprehensive Survey on Deep Graph Representation Learning
- Neurosymbolic AI for Reasoning on Graph Structures: A Survey
- Recent Advances in Direct Speech-to-text Translation
- Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
- Transformers in Speech Processing: A Survey
- End-to-End Speech Recognition: A Survey
- A Comprehensive Overview of Large Language Models
- A Survey of Large Language Models
- A Survey on Multimodal Large Language Models
- A Survey on Evaluation of Large Language Models
- A Survey on Out-of-Distribution Evaluation of Neural NLP Models
- The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
- Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production
- Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
- A Survey on Large Language Models for Recommendation
- Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
- A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
- Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
- One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
- Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models
- A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
- Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models
- Talking with Machines: A Comprehensive Survey of Emergent Dialogue Systems
- Neural Natural Language Processing for Long Texts: A Survey of the State-of-the-Art
- Training Data Extraction From Pre-trained Language Models: A Survey
- Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
- Interactive Natural Language Processing
- Beyond Words: A Comprehensive Survey of Sentence Representations
- Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
- Neural Machine Translation For Low Resource Languages
- Eight Things to Know about Large Language Models
- Natural Language Reasoning, A Survey
- Language Model Behavior: A Comprehensive Survey
- Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning
- The Life Cycle of Knowledge in Big Language Models: A Survey
- A Survey on Long Text Modeling with Transformers
- A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
- Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey
- Complex QA and language models hybrid architectures, Survey
- Augmented Language Models: a Survey
- A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
- Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
- Interpretation of Time-Series Deep Models: A Survey
- A Survey on Time-Series Pre-Trained Models
- TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns
- Embeddings for Tabular Data: A Survey
- Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking
- Label-efficient Time Series Representation Learning: A Review
- Causal Reinforcement Learning: A Survey
- Structure in Reinforcement Learning: A Survey and Open Problems
- Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
- Boosting Reinforcement Learning and Planning with Demonstrations: A Survey
- Evolutionary Reinforcement Learning: A Survey
- Decentralized Federated Learning: A Survey and Perspective
- Federated Domain Generalization: A Survey
- Bayesian Federated Learning: A Survey
- A Generalized Look at Federated Learning: Survey and Perspectives
- Federated Learning without Full Labels: A Survey
- A Survey of Federated Learning for Connected and Automated Vehicles
- Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
- Advancements in Federated Learning: Models, Methods, and Privacy
- A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
- Interpretability of Machine Learning: Recent Advances and Future Prospects
- Neurosymbolic AI and its Taxonomy: a survey
- Similarity of Neural Network Models: A Survey of Functional and Representational Measures
- Recent Advances in Optimal Transport for Machine Learning
- Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning
- Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
- Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython
- Machine Unlearning: A Survey
- Learn to Unlearn: A Survey on Machine Unlearning
- Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
- A survey of Generative AI Applications
- Survey of Trustworthy AI: A Meta Decision of AI
- Knowledge Graphs Querying
- eXplainable Artificial Intelligence on Medical Images: A Survey
- Geometric Relational Embeddings: A Survey
- A Survey on Recent Teacher-student Learning Studies
- On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
- Counterfactual Learning on Graphs: A Survey
- A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
- Knowledge Graphs: Opportunities and Challenges
- A Survey of Historical Learning: Learning Models with Learning History
- A Survey of Demonstration Learning
- Calibration of Neural Networks
- AI Risk Skepticism, A Comprehensive Survey
- Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook
- Structured Pruning for Deep Convolutional Neural Networks: A survey
- Modular Deep Learning
- Deep Active Learning in the Presence of Label Noise: A Survey
- Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example
- Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
- A survey on online active learning