Papers
Thu 14 Dec 2023
299 papers
- Personalized Autonomous Driving with Large Language Models: Field ExperimentsEnd-to-end autonomous driving → Large language models for driving
- Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- LLM-MARS: Large Language Model for Behavior Tree Generation and NLP-enhanced Dialogue in Multi-Agent Robot SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Promptable Behaviors: Personalizing Multi-Objective Rewards from Human PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Efficient speech detection in environmental audio using acoustic recognition and knowledge distillationKnowledge distillation → Speech and audio distillation
- LIME: Localized Image Editing via Attention Regularization in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Single Mesh Diffusion Models with Field Latents for Texture GenerationDiffusion models → 3D, point cloud and scene generation
- DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward HackingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- TinyGSM: achieving >80% on GSM8k with small language modelsLLM reasoning → Mathematical reasoning
- Pixel Aligned Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- A framework for conditional diffusion modelling with applications in motif scaffolding for protein designDiffusion models → Flow matching, time series and science
- Mosaic-SDF for 3D Generative ModelsDiffusion models → 3D, point cloud and scene generation
- Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition TimeDiffusion models → Discrete and text diffusion
- Vision-Language Models as a Source of RewardsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder ArchitecturesDiffusion models → Diffusion foundations and sampling
- DiffusionLight: Light Probes for Free by Painting a Chrome BallDiffusion models → 3D, point cloud and scene generation
- VideoLCM: Video Latent Consistency ModelDiffusion models → Video generation
- PI3D: Efficient Text-to-3D Generation with Pseudo-Image DiffusionDiffusion models → 3D, point cloud and scene generation
- Holodeck: Language Guided Generation of 3D Embodied AI EnvironmentsWorld models → Video-generation world models and simulators
- ReCoRe: Regularized Contrastive Representation Learning of World ModelWorld models → Latent dynamics models and model-based RL
- TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- BDHT: Generative AI Enables Causality Analysis for Mild Cognitive ImpairmentDiffusion models → Medical imaging and segmentation
- Dynamic Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsLLM reasoning → Reinforcement learning for reasoning +1
- Modeling Complex Mathematical Reasoning via Large Language Model based MathAgentLLM reasoning → Mathematical reasoning
- CogAgent: A Visual Language Model for GUI AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Fewer is More: Boosting LLM Reasoning with Reinforced Context PruningLLM reasoning → Prompting and chain-of-thought reasoning
- Motion Flow Matching for Human Motion Synthesis and EditingDiffusion models → Video generation
- RankDVQA-mini: Knowledge Distillation-Driven Deep Video Quality AssessmentKnowledge distillation → General knowledge distillation methods
- TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-trainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Diffusion-C: Unveiling the Generative Challenges of Diffusion Models through Corrupted DataDiffusion models → Diffusion foundations and sampling
- Speeding up Photoacoustic Imaging using Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Guided Diffusion from Self-Supervised Diffusion FeaturesDiffusion models → Diffusion foundations and sampling
- Planning and Rendering: Towards Product Poster Generation with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Reconstruction of Sound Field through Diffusion ModelsDiffusion models → Audio, speech and music
- Local Conditional Controlling for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Multi-modal Latent Space Learning for Chain-of-Thought Reasoning in Language ModelsLLM reasoning → Multimodal reasoning
- UniDream: Unifying Diffusion Priors for Relightable Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
- DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View GeneratorsDiffusion models → 3D, point cloud and scene generation
- RdimKD: Generic Distillation Paradigm by Dimensionality ReductionKnowledge distillation → General knowledge distillation methods
- SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-world Object DetectorKnowledge distillation → Detection and dense prediction distillation
- Generative Model-based Feature Knowledge Distillation for Action RecognitionKnowledge distillation → General knowledge distillation methods
- Unraveling Key Factors of Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Transduce: learning transduction grammars for string transformation
- Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings
- Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via Wearables
- Deep Anomaly Detection in Text
- A Customizable Generator for Comic-Style Visual Narrative
- Learning Long Sequences in Spiking Neural Networks
- Modeling arousal potential of epistemic emotions using Bayesian information gain: Inquiry cycle driven by free energy fluctuations
- Optimizing Mario Adventures in a Constrained Environment
- Overdrawing Urns using Categories of Signed Probabilities
- Future-proofing geotechnics workflows: accelerating problem-solving with large language models
- The irruption of cryptocurrencies into Twitter cashtags: a classifying solution
- Twitter Permeability to financial events: an experiment towards a model for sensing irregularities
- Efficient and Scalable Graph Generation through Iterative Local Expansion
- Data-Adaptive Dimensional Analysis for Accurate Interpolation and Extrapolation in Computer Experiments
- ADA-YOLO: Dynamic Fusion of YOLOv8 and Adaptive Heads for Precise Image Detection and Diagnosis
- Arithmetics-Based Decomposition of Numeral Words -- Arithmetic Conditions give the Unpacking Strategy
- Casual Social Media Use among the Youth: Effects on Online and Offline Political Participation
- Evaluative Item-Contrastive Explanations in Rankings
- Unbiasing Enhanced Sampling on a High-dimensional Free Energy Surface with Deep Generative Model
- Physics-Informed Deep Learning of Rate-and-State Fault Friction
- CERN for AI: A Theoretical Framework for Autonomous Simulation-Based Artificial Intelligence Testing and Alignment
- Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets
- RNA: Relightable Neural Assets
- Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
- High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D Cine MRI using Online Learning Neural Networks
- Modeling Epidemic Spread: A Gaussian Process Regression Approach
- Audio-visual fine-tuning of audio-only ASR models
- Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning
- Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM
- RTRA: Rapid Training of Regularization-based Approaches in Continual Learning
- The Expert Knowledge combined with AI outperforms AI Alone in Seizure Onset Zone Localization using resting state fMRI
- DSS: A Diverse Sample Selection Method to Preserve Knowledge in Class-Incremental Learning
- iOn-Profiler: intelligent Online multi-objective VNF Profiling with Reinforcement Learning
- PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning
- ArchiGuesser -- AI Art Architecture Educational Game
- A Hierarchical Nearest Neighbour Approach to Contextual Bandits
- Distributional Latent Variable Models with an Application in Active Cognitive Testing
- LatentEditor: Text Driven Local Editing of 3D Scenes
- Neural Time-Reversed Generalized Riccati Equation
- Stable Score Distillation for High-Quality 3D Generation
- Well-calibrated Confidence Measures for Multi-label Text Classification with a Large Number of Labels
- Self-Evaluation Improves Selective Generation in Large Language Models
- Weight subcloning: direct initialization of transformers using larger pretrained ones
- Acoustic models of Brazilian Portuguese Speech based on Neural Transformers
- Random resistive memory-based deep extreme point learning machine for unified visual processing
- Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization
- FineControlNet: Fine-level Text Control for Image Generation with Spatially Aligned Text Control Injection
- VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation
- ZeroRF: Fast Sparse View 360deg Reconstruction with Zero Pretraining
- SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds
- OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments
- Text2Immersion: Generative Immersive Scene with 3D Gaussians
- Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
- Let's do the time-warp-attend: Learning topological invariants of dynamical systems
- DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing
All 299
- Reliability in Semantic Segmentation: Can We Use Synthetic Data?
- Successor Heads: Recurring, Interpretable Attention Heads In The Wild
- 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting
- Gaussian Process Regression under Computational and Epistemic Misspecification
- NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
- Self-Adaptive Physics-Informed Quantum Machine Learning for Solving Differential Equations
- Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models
- WikiMuTe: A web-sourced dataset of semantic descriptions for music audio
- Measurement in the Age of LLMs: An Application to Ideological Scaling
- Weaving Pathways for Justice with GPT: LLM-driven automated drafting of interactive legal applications
- Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
- Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization
- Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements
- Approximation Algorithms for Preference Aggregation Using CP-Nets
- WIT-UAS: A Wildland-fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views
- General Object Foundation Model for Images and Videos at Scale
- CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-scale Geometry
- Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting
- Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers
- Featurizing Koopman Mode Decomposition For Robust Forecasting
- Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy
- Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments
- Physics-Informed Neural Network Lyapunov Functions: PDE Characterization, Learning, and Verification
- Tokenize Anything via Prompting
- Towards Trustworthy AI Software Development Assistance
- Does provable absence of barren plateaus imply classical simulability?
- Less is more -- the Dispatcher/ Executor principle for multi-task Reinforcement Learning
- Greedy Shapley Client Selection for Communication-Efficient Federated Learning
- ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field
- Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption
- COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
- The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation
- Language Modeling on a SpiNNaker 2 Neuromorphic Chip
- Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion
- Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret
- ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes
- Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
- Optimal Motion Planning using Finite Fourier Series in a Learning-based Collision Field
- CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels
- Image Demoireing in RAW and sRGB Domains
- Fair Clustering: A Causal Perspective
- Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery
- On the Difficulty of Defending Contrastive Learning against Backdoor Attacks
- A Sparse Cross Attention-based Graph Convolution Network with Auxiliary Information Awareness for Traffic Flow Prediction
- On The Expressivity of Recurrent Neural Cascades
- Topic Bias in Emotion Classification
- Graph Neural Networks with Diverse Spectral Filtering
- STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models
- Object Recognition from Scientific Document based on Compartment Refinement Framework
- Impact of Ground Truth Quality on Handwriting Recognition
- Using Surprise Index for Competency Assessment in Autonomous Decision-Making
- iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching
- Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition
- Design Space Exploration of Low-Bit Quantized Neural Networks for Visual Place Recognition
- A Framework for Exploring Federated Community Detection
- Exploring Transferability for Randomized Smoothing
- Symmetry Breaking and Equivariant Neural Networks
- Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection
- Adaptive parameter sharing for multi-agent reinforcement learning
- LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution
- FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
- Scene 3-D Reconstruction System in Scattering Medium
- Holistic chemical evaluation reveals pitfalls in reaction prediction models
- Localization with Reconfigurable Intelligent Surface: An Active Sensing Approach
- ComOM at VLSP 2023: A Dual-Stage Framework with BERTology and Unified Multi-Task Instruction Tuning Model for Vietnamese Comparative Opinion Mining
- Conformalised data synthesis
- Design, construction and evaluation of emotional multimodal pathological speech database
- FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines
- PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions
- Proving Conjectures Acquired by Composing Multiple Biases
- Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
- OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
- CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer
- Interactive Humanoid: Online Full-Body Motion Reaction Synthesis with Social Affordance Canonicalization and Forecasting
- Weighted Ensemble Models Are Strong Continual Learners
- On Mask-based Image Set Desensitization with Recognition Support
- Detecting value-expressive text posts in Russian social media
- LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
- LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
- UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
- Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
- LSTM Network Analysis of Vehicle-Type Fatalities on Great Britain's Roads
- What's Next? Predicting Hamiltonian Dynamics from Discrete Observations of a Vector Field
- EAT: Towards Long-Tailed Out-of-Distribution Detection
- BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual Polynomials
- Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields
- Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI segmentation
- Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking
- An Incremental Unified Framework for Small Defect Inspection
- Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation
- Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification
- Dataset Distillation via Adversarial Prediction Matching
- Using eye tracking to investigate what native Chinese speakers notice about linguistic landscape images
- Context-PEFT: Efficient Multi-Modal, Multi-Task Fine-Tuning
- Detection and Defense of Unlearnable Examples
- HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar
- Solving Dense Linear Systems Faster Than via Preconditioning
- VaLID: Variable-Length Input Diffusion for Novel View Synthesis
- High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring
- Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
- Agent Attention: On the Integration of Softmax and Linear Attention
- MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
- Improving Cross-modal Alignment with Synthetic Pairs for Text-only Image Captioning
- HeadRecon: High-Fidelity 3D Head Reconstruction from Monocular Video
- BVI-Artefact: An Artefact Detection Benchmark Dataset for Streamed Videos
- Guided Image Restoration via Simultaneous Feature and Image Guided Fusion
- Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities
- Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction
- Exploration of visual prompt in Grounded pre-trained open-set detection
- Learning Safety Constraints From Demonstration Using One-Class Decision Trees
- Artificial Intelligence and Human Geography
- Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm
- How to Raise a Robot -- A Case for Neuro-Symbolic AI in Constrained Task Planning for Humanoid Assistive Robots
- A Cyber-Physical Architecture for Microgrids based on Deep learning and LORA Technology
- Implement services for business scenarios by combining basic emulators
- Deep Learning-Based Cyber-Attack Detection Model for Smart Grids
- Performance evaluation of matrix factorization for fMRI data
- Zoom in on the Plant: Fine-grained Analysis of Leaf, Stem and Vein Instances
- Automated Process Planning Based on a Semantic Capability Model and SMT
- Evaluating Large Language Models for Health-related Queries with Presuppositions
- Forbidden Facts: An Investigation of Competing Objectives in Llama-2
- Managing the unknown: a survey on Open Set Recognition and tangential areas
- Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
- Approximate Integer Solution Counts over Linear Arithmetic Constraints
- VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning
- Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models
- A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics
- CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming
- Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting
- CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning
- PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments
- Improve Robustness of Reinforcement Learning against Observation Perturbations via l_∞ Lipschitz Policy Networks
- Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
- Dissecting vocabulary biases datasets through statistical testing and automated data augmentation for artifact mitigation in Natural Language Inference
- GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning
- Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning
- JPIS: A Joint Model for Profile-based Intent Detection and Slot Filling with Slot-to-Intent Attention
- Polyper: Boundary Sensitive Polyp Segmentation
- VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding
- Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
- Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
- A Comparative Analysis of Fine-Tuned LLMs and Few-Shot Learning of LLMs for Financial Sentiment Analysis
- Personalized Path Recourse for Reinforcement Learning Agents
- StemGen: A music generation model that listens
- Quantifying Divergence for Human-AI Collaboration and Cognitive Trust
- Panel Transitions for Genre Analysis in Visual Narratives
- Gradient Informed Proximal Policy Optimization
- PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments
- Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory
- Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
- CPST: Comprehension-Preserving Style Transfer for Multi-Modal Narratives
- SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field
- TigerBot: An Open Multilingual Multitask LLM
- Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions
- Heterogeneous Graph Neural Architecture Search with GPT-4
- A Local Appearance Model for Volumetric Capture of Diverse Hairstyle
- Deep Learning with Physics Priors as Generalized Regularizers
- Adaptive Shortcut Debiasing for Online Continual Learning
- SEF-VC: Speaker Embedding Free Zero-Shot Voice Conversion with Cross Attention
- AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection
- Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation
- CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
- Permutation-Invariant Graph Partitioning:How Graph Neural Networks Capture Structural Interactions?
- Temporal-Spatial Entropy Balancing for Causal Continuous Treatment-Effect Estimation
- Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
- SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration
- On the Image-Based Detection of Tomato and Corn leaves Diseases : An in-depth comparative experiments
- Real-time Autonomous Control of a Continuous Macroscopic Process as Demonstrated by Plastic Forming
- MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
- Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis
- Towards Inductive Robustness: Distilling and Fostering Wave-induced Resonance in Transductive GCNs Against Graph Adversarial Attacks
- PhyOT: Physics-informed object tracking in surveillance cameras
- CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data
- Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement
- MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning
- Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization
- ChatSOS: LLM-based knowledge Q&A system for safety engineering
- YOLO-OB: An improved anchor-free real-time multiscale colon polyp detector in colonoscopy
- Graph Network Surrogate Model for Subsurface Flow Optimization
- Mixed Reality Communication for Medical Procedures: Teaching the Placement of a Central Venous Catheter
- Scalable Ensemble-based Detection Method against Adversarial Attacks for speaker verification
- Zebra: Extending Context Window with Layerwise Grouped Local-Global Attention
- A Generalized Neural Diffusion Framework on Graphs
- Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost
- UniTeam: Open Vocabulary Mobile Manipulation Challenge
- VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook
- Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction
- Omega-Regular Decision Processes
- CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence
- MotherNet: Fast Training and Inference via Hyper-Network Transformers
- CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer
- MOSaiC: a Web-based Platform for Collaborative Medical Video Assessment and Annotation
- Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis
- Joint2Human: High-quality 3D Human Generation via Compact Spherical Embedding of 3D Joints
- Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors
- Estimating calibration error under label shift without labels
- ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
- Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach
- A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions