Papers
Mon 22 Jul 2024
288 papers
- Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning ApplicationsDeep reinforcement learning methods → Deep RL algorithms and representations
- EcoFollower: An Environment-Friendly Car Following Model Considering Fuel ConsumptionDeep reinforcement learning methods → RL for autonomous driving and traffic
- FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentationDiffusion models → Medical imaging and segmentation
- Leveraging LLM Reasoning Enhances Personalized Recommender SystemsLLM reasoning → LLM reasoning for recommendation
- Generalizing Teacher Networks for Effective Knowledge Distillation Across Student ArchitecturesKnowledge distillation → General knowledge distillation methods
- Enhancing Temporal Understanding in LLMs for Semi-structured TablesLLM reasoning → Knowledge- and tool-augmented reasoning
- Exploring and Addressing Reward Confusion in Offline Preference LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data GenerationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Craft: Cross-modal Aligned Features Improve Robustness of Prompt TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RazorAttention: Efficient KV Cache Compression Through Retrieval HeadsEfficient LLM inference and serving → KV cache optimization
- WayEx: Waypoint Exploration using a Single DemonstrationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Reconstructing Training Data From Real World Models Trained with Transfer LearningWorld models → Video-generation world models and simulators
- CarFormer: Self-Driving with Learned Object-Centric RepresentationsEnd-to-end autonomous driving → VLMs for autonomous driving
- Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive EnvironmentsDeep reinforcement learning methods → RL for autonomous driving and traffic
- NV-Retriever: Improving text embedding models with effective hard-negative miningRetrieval-augmented generation → Generation and context integration
- On shallow planning under partial observabilityDeep reinforcement learning methods → Deep RL algorithms and representations
- Accelerating Pre-training of Multimodal LLMs via Chain-of-SightMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Stretching Each Dollar: Diffusion Training from Scratch on a Micro-BudgetDiffusion models → Diffusion foundations and sampling
- CLIP with Generative Latent Replay: a Strong Baseline for Incremental LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Self-supervised Mamba-based Mastoidectomy Shape Prediction for Cochlear Implant SurgeryState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Diffusion Model Based Resource Allocation Strategy in Ultra-Reliable Wireless Networked Control SystemsDiffusion models → Diffusion for compression and wireless
- LongVideoBench: A Benchmark for Long-context Interleaved Video-Language UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSONLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCIState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Mamba meets crack segmentationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?LLM agents and tool use → Web, search, and research agents
- Multi-Modality Co-Learning for Efficient Skeleton-based Action RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Estimating Probability Densities with Transformer and Denoising DiffusionDiffusion models → Diffusion foundations and sampling
- HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal ReasoningLLM reasoning → Hallucination detection and mitigation +1
- DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics
- Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQNDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Cinemo: Consistent and Controllable Image Animation with Motion Diffusion ModelsDiffusion models → Video generation
- A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal ControlDiffusion models → Medical imaging and segmentation
- Reinforcement Learning Meets Visual OdometryDeep reinforcement learning methods → RL for robot navigation and UAV control
- RadioRAG: Online Retrieval-augmented Generation for Radiology Question AnsweringRetrieval-augmented generation → Medical and biomedical RAG
- StylusAI: Stylistic Adaptation for Robust German Handwritten Text GenerationDiffusion models → Image generation, text-to-image and editing
- Discrete Flow MatchingDiffusion models → Flow matching, time series and science
- An Empirical Study of Retrieval Augmented Generation with Chain-of-ThoughtLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMsLLM safety and security → Jailbreaking
- Exterior Penalty Policy Optimization with Penalty Metric Network under ConstraintsDeep reinforcement learning methods → Safe and constrained RL
- Synthetic Image Learning: Preserving Performance and Preventing Membership Inference AttacksLLM safety and security → Membership inference attacks
- SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over TimeDiffusion models → 3D, point cloud and scene generation
- Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language ModelsEfficient LLM inference and serving → Prompt and context compression
- DiffX: Guide Your Layout to Cross-Modal Generative ModelingDiffusion models → Image generation, text-to-image and editing
- In-Context Learning Improves Compositional Understanding of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce SearchDeep reinforcement learning methods → RL for games and combinatorial optimization
- Offline Imitation Learning Through Graph Search and RetrievalOffline RL and imitation learning from data → Robot manipulation imitation learning
- Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QARetrieval-augmented generation → RAG pipeline design and evaluation
- Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Odyssey: Empowering Minecraft Agents with Open-World SkillsLLM agents and tool use → Reinforcement learning for LLM agents
- Should we use model-free or model-based control? A case study of battery management systemsDeep reinforcement learning methods → RL for energy, networks and operations
- vTensor: Flexible Virtual Tensor Management for Efficient LLM ServingEfficient LLM inference and serving → KV cache optimization
- A Survey of AI Reliance
- Left-Right Swapping and Upper-Lower Limb Pairing for Robust Multi-Wearable Workout Activity Detection
- Prompting for products: Investigating design space exploration strategies for text-to-image generative models
- Impacts of Anthropomorphizing Large Language Models in Learning Environments
- Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective
- Building Machines that Learn and Think with People
- IVISIT: An Interactive Visual Simulation Tool for system simulation, visualization, optimization, and parameter management
- An Empirical Comparison of Video Frame Sampling Methods for Multi-Modal RAG Retrieval
- The Ontoverse: Democratising Access to Knowledge Graph-based Data Through a Cartographic Interface
- InLUT3D: Challenging real indoor dataset for point cloud analysis
- PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements
- On Feasibility of Intent Obfuscating Attacks
- The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis
- Scaling CS1 Support with Compiler-Integrated Conversational AI
- Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation
- Chatbot-Based Ontology Interaction Using Large Language Models and Domain-Specific Standards
- Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System
- PAV: Personalized Head Avatar from Unstructured Video Collection
- Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
- Unlocking the Potential: Benchmarking Large Language Models in Water Engineering and Research
- CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
- Making LLMs Work for Enterprise Data Tasks
- Region Guided Attention Network for Retinal Vessel Segmentation
- AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design
- StreamTinyNet: video streaming analysis with spatial-temporal TinyML
- Rapid Switching and Multi-Adapter Fusion via Sparse High Rank Adapters
- Benchmarks as Microscopes: A Call for Model Metrology
- Universal Spectral Transfer with Physical Prior-Informed Deep Generative Learning
- Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based Search
- Early Recognition of Parkinson's Disease Through Acoustic Analysis and Machine Learning
- Self-driving lab discovers principles for steering spontaneous emission
- Modelling brain connectomes networks: Solv is a worthy competitor to hyperbolic geometry!
- PLayerTV: Advanced Player Tracking and Identification for Automatic Soccer Highlight Clips
- KaPQA: Knowledge-Augmented Product Question-Answering
- LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
- Artificial Intelligence-based Decision Support Systems for Precision and Digital Health
- Revisiting Score Function Estimators for k-Subset Sampling
- HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis
- Leveraging Large Language Models to Geolocate Linguistic Variations in Social Media Posts
- Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
- Transformer-based Capacity Prediction for Lithium-ion Batteries with Data Augmentation
- KWT-Tiny: RISC-V Accelerated, Embedded Keyword Spotting Transformer
All 288
- Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network
- Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
- Wallcamera: Reinventing the Wheel?
- AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations
- SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web
- EfficientCD: A New Strategy For Change Detection Based With Bi-temporal Layers Exchanged
- Multimodal Input Aids a Bayesian Model of Phonetic Learning
- AI for Handball: predicting and explaining the 2024 Olympic Games tournament with Deep Learning and Large Language Models
- Multilingual Fine-Grained News Headline Hallucination Detection
- FDWST: Fingerphoto Deblurring using Wavelet Style Transfer
- Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms over Darknet Network Traffic
- A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
- An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph
- Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models
- Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis
- Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
- Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning
- Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems
- Mini-Sequence Transformer: Optimizing Intermediate Memory for Long Sequences Training
- Memory Management for Real-Time Appearance-Based Loop Closure Detection
- AutoAD-Zero: A Training-Free Framework for Zero-Shot Audio Description
- BoostMVSNeRFs: Boosting MVS-based NeRFs to Generalizable View Synthesis in Large-scale Scenes
- LLMmap: Fingerprinting For Large Language Models
- HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning
- DiffArtist: Towards Structure and Appearance Controllable Image Stylization
- SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
- MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity
- Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning
- dMel: Speech Tokenization made Simple
- J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling
- Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator
- Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images
- Perceptions of Linguistic Uncertainty by Language Models and Humans
- Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
- FSboard: Over 3 million characters of ASL fingerspelling collected via smartphones
- Adaptive Extensions of Unbiased Risk Estimators for Unsupervised Magnetic Resonance Image Denoising
- Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensation
- MILAN: Milli-Annotations for Lidar Semantic Segmentation
- AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
- Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical video
- Robust Mixture Learning when Outliers Overwhelm Small Groups
- RADA: Robust and Accurate Feature Learning with Domain Adaptation
- Extracting Structured Insights from Financial News: An Augmented LLM Driven Approach
- Explaining Decisions in ML Models: a Parameterized Complexity Analysis
- In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods
- STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay
- Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection
- Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
- Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning
- Model editing for distribution shifts in uranium oxide morphological analysis
- Robustness of Speech Separation Models for Similar-pitch Speakers
- Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
- Parallel Split Learning with Global Sampling
- OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context
- SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection
- Inferring turbulent velocity and temperature fields and their statistics from Lagrangian velocity measurements using physics-informed Kolmogorov-Arnold Networks
- Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning
- DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design
- Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability
- Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
- SwinSF: Image Reconstruction from Spatial-Temporal Spike Streams
- Predicting the Best of N Visual Trackers
- A Life-long Learning Intrusion Detection System for 6G-Enabled IoV
- Supporting the Digital Autonomy of Elders Through LLM Assistance
- Counter Turing Test (CT2): Investigating AI-Generated Text Detection for Hindi -- Ranking LLMs based on Hindi AI Detectability Index (ADIhi)
- Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
- Pediatric Wrist Fracture Detection in X-rays via YOLOv10 Algorithm and Dual Label Assignment System
- AI-Driven Fast and Early Detection of IoT Botnet Threats: A Comprehensive Network Traffic Analysis Approach
- SoftCVI: Contrastive variational inference with self-generated soft labels
- Differentiable Convex Polyhedra Optimization from Multi-view Images
- Enhancing Transferability of Targeted Adversarial Examples: A Self-Universal Perspective
- Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps
- Problems in AI, their roots in philosophy, and implications for science and society
- SLVideo: A Sign Language Video Moment Retrieval Framework
- A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties
- MSSPlace: Multi-Sensor Place Recognition with Visual and Text Semantics
- How to Shrink Confidence Sets for Many Equivalent Discrete Distributions?
- MuTT: A Multimodal Trajectory Transformer for Robot Skills
- TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly
- SS-SFR: Synthetic Scenes Spatial Frequency Response on Virtual KITTI and Degraded Automotive Simulations for Object Detection
- Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models
- Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance
- Generating Sample-Based Musical Instruments Using Neural Audio Codec Language Models
- Dual Test-time Training for Out-of-distribution Recommender System
- Norface: Improving Facial Expression Analysis by Identity Normalization
- Sustainable broadcasting in Blockchain Networks with Reinforcement Learning
- Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning
- Can GPT-4 learn to analyse moves in research article abstracts?
- Distance-based mutual congestion feature selection with genetic algorithm for high-dimensional medical datasets
- Probing Fine-Grained Action Understanding and Cross-View Generalization of Foundation Models
- A Pairwise Comparison Relation-assisted Multi-objective Evolutionary Neural Architecture Search Method with Multi-population Mechanism
- Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information
- All rivers run into the sea: Unified Modality Brain-like Emotional Central Mechanism
- Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
- Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts
- Data driven weather forecasts trained and initialised directly from observations
- Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
- A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval
- SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning
- The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering
- Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping
- Inverted Activations: Reducing Memory Footprint in Neural Network Training
- Differentiable Product Quantization for Memory Efficient Camera Relocalization
- Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks
- A Double Deep Learning-based Solution for Efficient Event Data Coding and Classification
- Interpretable Concept-Based Memory Reasoning
- Multiple Importance Sampling for Stochastic Gradient Estimation
- TOM: A Development Platform For Wearable Intelligent Assistants
- Future-Proofing Mobile Networks: A Digital Twin Approach to Multi-Signal Management
- Attention Is All You Need But You Don't Need All Of It For Inference of Large Language Models
- Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
- Algebraic anti-unification
- Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
- WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation
- TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping
- Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction
- A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives
- Subthalamic Nucleus segmentation in high-field Magnetic Resonance data. Is space normalization by template co-registration necessary?
- 6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
- Diverse Image Harmonization
- Affordance Labeling and Exploration: A Manifold-Based Approach
- Autonomous Robotic Swarms: A Corroborative Approach for Verification and Validation
- Learning deep illumination-robust features from multispectral filter array images
- The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning
- Retrieval with Learned Similarities
- Text-to-Battery Recipe: A language modeling-based protocol for automatic battery recipe extraction and retrieval
- Score matching for bridges without learning time-reversals
- Regression under demographic parity constraints via unlabeled post-processing
- GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs
- Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions
- SIGMA: Sinkhorn-Guided Masked Video Modeling
- Text2Place: Affordance-aware Text Guided Human Placement
- Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service
- Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays
- Enhancement of 3D Gaussian Splatting using Raw Mesh for Photorealistic Recreation of Architectures
- Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
- Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling
- Decoding BACnet Packets: A Large Language Model Approach for Packet Interpretation
- YOLO-pdd: A Novel Multi-scale PCB Defect Detection Method Using Deep Representations with Sequential Images
- Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training
- Empirical Capacity Model for Self-Attention Neural Networks
- Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attention
- Integrating IP Broadcasting with Audio Tags: Workflow and Challenges
- Planning in a recurrent neural network that plays Sokoban
- Local All-Pair Correspondence for Point Tracking
- LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models
- Weights Shuffling for Improving DPSGD in Transformer-based Models
- Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models
- Automated Road Safety: Enhancing Sign and Surface Damage Detection with AI
- Tackling Selfish Clients in Federated Learning
- Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation
- ALLaM: Large Language Models for Arabic and English
- Poisoning with A Pill: Circumventing Detection in Federated Learning
- Towards Robust Vision Transformer via Masked Adaptive Ensemble
- Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
- Iterative approach to reconstructing neural disparity fields from light-field data
- The Development of a Comprehensive Spanish Dictionary for Phonetic and Lexical Tagging in Socio-phonetic Research (ESPADA)
- ILiAD: An Interactive Corpus for Linguistic Annotated Data from Twitter Posts
- A Network Analysis Approach to Conlang Research Literature
- Sparse Prior Is Not All You Need: When Differential Directionality Meets Saliency Coherence for Infrared Small Target Detection
- Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
- A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model
- Dissecting Multiplication in Transformers: Insights into LLMs
- UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models
- X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray Images
- Attention Beats Linear for Fast Implicit Neural Representation Generation
- Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection
- MAVEN-Fact: A Large-scale Event Factuality Detection Dataset
- LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation
- WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding
- RoadPainter: Points Are Ideal Navigators for Topology transformER
- Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models
- Improving Minimum Bayes Risk Decoding with Multi-Prompt
- ZZU-NLP at SIGHAN-2024 dimABSA Task: Aspect-Based Sentiment Analysis with Coarse-to-Fine In-context Learning
- Random Survival Forest for Censored Functional Data
- Deep Learning for Economists
- ThermalNeRF: Thermal Radiance Fields
- Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object Detection
- Robust personalized pricing under uncertainty of purchase probabilities
- Less is More: Skim Transformer for Light Field Image Super-resolution
- Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
- Open-CD: A Comprehensive Toolbox for Change Detection
- FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
- Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation
- Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniques
- U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks
- Knowledge Mechanisms in Large Language Models: A Survey and Perspective