Papers
Sun 28 Jan 2024
100 papers
- Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and CooperateEnd-to-end autonomous driving → Cooperative and V2X driving +1
- AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green CitiesDeep reinforcement learning methods → RL for energy, networks and operations
- Contrastive Learning and Mixture of Experts Enables Precise Vector EmbeddingsMixture-of-experts → MoE large language models
- Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical EmbeddingDiffusion models → Image generation, text-to-image and editing
- YODA: Teacher-Student Progressive Learning for Language ModelsKnowledge distillation → Knowledge distillation for LLMs
- CPDM: Content-Preserving Diffusion Model for Underwater Image EnhancementDiffusion models → Inverse problems and image restoration
- FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Diffusion-based Graph Generative MethodsDiffusion models → Flow matching, time series and science
- Neural Network-Based Score Estimation in Diffusion Models: Optimization and GeneralizationDiffusion models → Diffusion foundations and sampling
- Evaluating Gender Bias in Large Language Models via Chain-of-Thought PromptingLLM reasoning → Reasoning benchmarks and evaluation
- Efficient Tuning and Inference for Large Language Models on Textual GraphsEfficient LLM inference and serving → Early exit and edge inference
- BrepGen: A B-rep Generative Diffusion Model with Structured Latent GeometryDiffusion models → 3D, point cloud and scene generation
- C Analyzer : A Static Program Analysis Tool for C Programs
- Procedural terrain generation with style transfer
- EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm
- Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas
- Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning
- Identifying and Improving Disability Bias in GPT-Based Resume Screening
- Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis
- Contextualization Distillation from Large Language Model for Knowledge Graph Completion
- Treatment of Epistemic Uncertainty in Conjunction Analysis with Dempster-Shafer Theory
- FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
- ACCESS: Prompt Engineering for Automated Web Accessibility Violation Corrections
- LLM4SecHW: Leveraging Domain Specific Large Language Model for Hardware Debugging
- OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
- Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
- Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features
- GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow
- On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
- Statistical Significance of Feature Importance Rankings
- UnMASKed: Quantifying Gender Biases in Masked Language Models through Linguistically Informed Job Market Prompts
- High-Dimensional False Discovery Rate Control for Dependent Variables
- Sample Complexity of the Sign-Perturbed Sums Identification Method: Scalar Case
- Improving Kernel-Based Nonasymptotic Simultaneous Confidence Bands
- Real-time object detection and robotic manipulation for agriculture using a YOLO-based learning approach
- Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text
- cantnlp@LT-EDI-2024: Automatic Detection of Anti-LGBTQ+ Hate Speech in Under-resourced Languages
- Evaluation of k-means time series clustering based on z-normalization and NP-Free
- Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
- PILOT: Legal Case Outcome Prediction with Case Law
- LEACH-RLC: Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning
- EEG for fatigue monitoring
- An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion
- Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for Neurohumanities
- Efficient Data-Driven MPC for Demand Response of Commercial Buildings
- SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks
- SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data
- Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
- RE-GAINS & EnChAnT: Intelligent Tool Manipulation Systems For Enhanced Query Responses
- A Study of Acquisition Functions for Medical Imaging Deep Active Learning
- Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
- Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection
- HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation
- One for all: A novel Dual-space Co-training baseline for Large-scale Multi-View Clustering
- Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
- Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance
- Assessment of Autism and ADHD: A Comparative Analysis of Drawing Velocity Profiles and the NEPSY Test
- Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19
- Evaluating Echo State Network for Parkinson's Disease Prediction using Voice Features
- Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes
- Low-resolution Prior Equilibrium Network for CT Reconstruction
- Data-Free Generalized Zero-Shot Learning
- Dynamically Allocated Interval-Based Generative Linguistic Steganography with Roulette Wheel
- Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
- UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image Restoration
- Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning
- Ensemble-Based Annealed Importance Sampling
- PRE: A Peer Review Based Large Language Model Evaluator
- Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images
- RecDCL: Dual Contrastive Learning for Recommendation
- Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopes
- TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling
- Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study
- GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
- SNAP: Semantic Stories for Next Activity Prediction
- Data-Driven Strategies for Coping with Incomplete DVL Measurements
- Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras
- Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation
- An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution
- Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
- Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
- Hyperedge Interaction-aware Hypergraph Neural Network
- DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
- SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection
- MunTTS: A Text-to-Speech System for Mundari
- ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping
- Intriguing Equivalence Structures of the Embedding Space of Vision Transformers
- Positive Semidefinite Matrix Supermartingales
- On the Robustness of Cross-Concentrated Sampling for Matrix Completion
- Design of UAV flight state recognition and trajectory prediction system based on trajectory feature construction
- An Analysis of Letter Dynamics in the English Alphabet
- Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion
- Pericoronary adipose tissue feature analysis in CT calcium score images with comparison to coronary CTA
- PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
- Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform
- Anomaly Detection of Particle Orbit in Accelerator using LSTM Deep Learning Technology
- Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
- Quantifying Stereotypes in Language
- Byte Pair Encoding Is All You Need For Automatic Bengali Speech Recognition
- An Information-Theoretic Analysis of In-Context Learning