Papers
Tue 26 Nov 2024
336 papers
- Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior InjectionMixture-of-experts → Multimodal MoE models
- Safe to Serve: Aligning Instruction-Tuned Models for Safety and HelpfulnessLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Addressing Vulnerabilities in AI-Image Detection: Challenges and Proposed SolutionsDiffusion models → Image generation, text-to-image and editing
- Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer PruningMixture-of-experts → MoE large language models
- AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning AgentLLM agents and tool use → Educational agents and math problem solving
- Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed RewardsDeep reinforcement learning methods → RL theory and sample complexity
- A solvable generative model with a linear, one-step denoiserDiffusion models → Diffusion foundations and sampling
- NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Efficient Multi-modal Large Language Models via Visual Token GroupingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Omegance: A Single Parameter for Various Granularities in Diffusion-Based SynthesisDiffusion models → Diffusion foundations and sampling
- PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online RefinementDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MUSE-VL: Modeling Unified VLM through Semantic Discrete EncodingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- OpenAD: Open-World Autonomous Driving Benchmark for 3D Object DetectionEnd-to-end autonomous driving → VLMs for autonomous driving
- Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free ApproachMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- StableAnimator: High-Quality Identity-Preserving Human Image AnimationDiffusion models → Video generation
- Adaptive Deployment of Untrusted LLMs Reduces Distributed ThreatsLLM safety and security → Safety alignment, refusal and guardrails
- GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image RestorationDiffusion models → Inverse problems and image restoration
- Filter, Correlate, Compress: Training-Free Token Reduction for MLLM AccelerationMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Attamba: Attending To Multi-Token StatesEfficient LLM inference and serving → KV cache optimization
- RealSeal: Revolutionizing Media Authentication with Real-Time Realism ScoringLLM safety and security → Watermarking generated content and models
- Synthetic Data Generation with LLM for Improved Depression PredictionSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- APEX: An Extensible and Dynamism-Aware Simulator for Automated Parallel Execution in LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics ManipulationLLM agents and tool use → Multimodal and embodied agents
- Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral ConstraintsDiffusion models → Diffusion foundations and sampling
- Mixed-State Quantum Denoising Diffusion Probabilistic ModelDiffusion models → Diffusion foundations and sampling
- HyperSeg: Towards Universal Visual Segmentation with Large Language ModelLLM reasoning → Multimodal reasoning
- Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development GoalsLLM agents and tool use → Web, search, and research agents
- RTL-Breaker: Assessing the Security of LLMs against Backdoor Attacks on HDL Code GenerationLLM safety and security → Backdoor and data poisoning attacks
- Natural Language Understanding and Inference with MLLM in Visual Question Answering: A SurveyMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- TRUST-UP: Trustworthy Reinforcement learning Using Safe Techniques for UAV PursuitDeep reinforcement learning methods → RL for robot navigation and UAV control
- IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion FrameworkDiffusion models → Medical imaging and segmentation
- FTMoMamba: Motion Generation with Frequency and Text State Space ModelsDiffusion models → Video generation
- On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax OptimalityDiffusion models → Diffusion foundations and sampling
- What's in the Image? A Deep-Dive into the Vision of Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- TinyViM: Frequency Decoupling for Tiny Hybrid Vision MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones
- WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Spatially Visual Perception for End-to-End Robotic LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Seeing the Undefined: Chain-of-Action for Generative Semantic LabelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem SolvingLLM reasoning → Test-time compute and efficient thinking
- Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Reward Incremental Learning in Text-to-Image GenerationDiffusion models → Diffusion and flow policies for robotics +1
- Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learningLLM reasoning → Reasoning benchmarks and evaluation
- SIL-RRT*: Learning Sampling Distribution through Self Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Systematic Reward Gap Optimization for Mitigating VLM HallucinationsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- LHPF: Look back the History and Plan for the Future in Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion ModelDiffusion models → Sign language production
- Boost 3D Reconstruction using Diffusion-based Monocular Camera CalibrationDiffusion models → 3D, point cloud and scene generation
- Grounding-IQA: Grounding Multimodal Language Model for Image Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
- From Graph Diffusion to Graph ClassificationDiffusion models → Flow matching, time series and science
- DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image InpaintingDiffusion models → Image generation, text-to-image and editing
- AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMMMultimodal LLMs / vision-language models → Image editing and quality assessment
- LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual WatermarksLLM safety and security → Watermarking generated content and models
- cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image SynthesisDiffusion models → Medical imaging and segmentation
- OSDFace: One-Step Diffusion Model for Face RestorationDiffusion models → Inverse problems and image restoration
- Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward EnsembleLLM agents and tool use → Reinforcement learning for LLM agents +1
- From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive ModelsLLM safety and security → Machine unlearning
- DOGR: Towards Versatile Visual Document Grounding and ReferringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Star Attention: Efficient LLM Inference over Long SequencesEfficient LLM inference and serving → KV cache optimization
- PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial RecomputationEfficient LLM inference and serving → KV cache optimization
- ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative ConceptsDiffusion models → Diffusion foundations and sampling
- Don't Command, Cultivate: An Exploratory Study of System-2 AlignmentLLM safety and security → Safety alignment, refusal and guardrails
- Creative Agents: Simulating the Systems Model of Creativity with Generative AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data GenerationKnowledge distillation → General knowledge distillation methods
- Free2Guide: Training-Free Text-to-Video Alignment using Image LVLMDiffusion models → Video generation +1
- D2-World: An Efficient World Model through Decoupled Dynamic FlowWorld models → World models for autonomous driving
- TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-OnDiffusion models → 3D, point cloud and scene generation
- Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- A Behavior Tree-inspired programming language for autonomous agents
- What AI evaluations for preventing catastrophic risks can and cannot do
- Digital Democracy in the Age of Artificial Intelligence
- Dynamic data summarization for hierarchical spatial clustering
- Effect of Adaptive Communication Support on LLM-powered Human-Robot Collaboration
- AdaptiveMDL-GenClust: A Robust Clustering Framework Integrating Normalized Mutual Information and Evolutionary Algorithms
- A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training
- Socio-Emotional Response Generation: A Human Evaluation Protocol for LLM-Based Conversational Systems
- Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models
- Task Singular Vectors: Reducing Task Interference in Model Merging
- Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics
- Flaws of ImageNet, Computer Vision's Favourite Dataset
- The Muon Space GNSS-R Surface Soil Moisture Product
- COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection
- Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling
- MADE: Graph Backdoor Defense with Masked Unlearning
- Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings
- Scene Co-pilot: Procedural Text to Video Generation with Human in the Loop
- Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
- MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation
- Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches
- Multi-Label Bayesian Active Learning with Inter-Label Relationships
- Spatio-temporal Causal Learning for Streamflow Forecasting
- Stealthy Multi-Task Adversarial Attacks
- Neural Networks Use Distance Metrics
- Combining Threat Intelligence with IoT Scanning to Predict Cyber Attack
- Exploring Superpixel Segmentation Methods in the Context of Citizen Science and Deforestation Detection
- DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
All 336
- Enhancing Project Performance Forecasting using Machine Learning Techniques
- Can LLMs plan paths in the real world?
- Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
- On the ERM Principle in Meta-Learning
- Automating grapevine LAI features estimation with UAV imagery and machine learning
- HOPPR Medical-Grade Platform for Medical Imaging AI
- The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features
- Leveraging Large Language Models and Topic Modeling for Toxicity Classification
- Breast Tumor Classification Using EfficientNet Deep Learning Model
- ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
- RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded Devices
- Distributed Sign Momentum with Local Steps for Training Transformers
- Generative Image Layer Decomposition with Visual Effects
- LongKey: Keyphrase Extraction for Long Documents
- Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions
- "Give me the code" -- Log Analysis of First-Year CS Students' Interactions With GPT
- Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
- SoftmAP: Software-Hardware Co-design for Integer-Only Softmax on Associative Processors
- CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization
- Basic Research, Lethal Effects: Military AI Research Funding as Enlistment
- Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering
- OracleSage: Towards Unified Visual-Linguistic Understanding of Oracle Bone Scripts through Cross-Modal Knowledge Fusion
- Adaptive Client Selection with Personalization for Communication Efficient Federated Learning
- SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation
- Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites
- Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling
- CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos
- Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation
- STAR: Synthesis of Tailored Architectures
- Signs as Tokens: A Retrieval-Enhanced Multilingual Sign Language Generator
- DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction
- Scalable iterative pruning of large language and vision models using block coordinate descent
- Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design
- Engineering AI Judge Systems
- Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors
- Geometric Point Attention Transformer for 3D Shape Reassembly
- Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
- DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching
- New Test-Time Scenario for Biosignal: Concept and Its Approach
- KACDP: A Highly Interpretable Credit Default Prediction Model
- Joint Resource Optimization, Computation Offloading and Resource Slicing for Multi-Edge Traffic-Cognitive Networks
- MetaGraphLoc: A Graph-based Meta-learning Scheme for Indoor Localization via Sensor Fusion
- Network Inversion and Its Applications
- Beyond Walking: A Large-Scale Image-Text Benchmark for Text-based Person Anomaly Search
- Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data
- MVBoost: Boost 3D Reconstruction with Multi-View Refinement
- Diagram-Driven Course Questions Generation
- MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing
- Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models
- Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
- I2VControl: Disentangled and Unified Video Motion Synthesis Control
- Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation
- Video-Guided Foley Sound Generation with Multimodal Controls
- ScribbleLight: Single Image Indoor Relighting with Scribbles
- Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens
- Mechanisms of Multimodal Synchronization: Insights from Decoder-Based Video-Text-to-Speech Synthesis
- Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning
- Instance-Aware Graph Prompt Learning
- Push the Limit of Multi-modal Emotion Recognition by Prompting LLMs with Receptive-Field-Aware Attention Weighting
- SketchAgent: Language-Driven Sequential Sketch Generation
- Linguistic Laws Meet Protein Sequences: A Comparative Analysis of Subword Tokenization Methods
- Anytime Acceleration of Gradient Descent
- How do Multimodal Foundation Models Encode Text and Speech? An Analysis of Cross-Lingual and Cross-Modal Representations
- RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training
- Non-Contextual BERT or FastText? A Comparative Analysis
- DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting
- SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation
- Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset
- On Limitations of LLM as Annotator for Low Resource Languages
- A General-Purpose Framework for Chemical Reaction Representation with Atomic Correspondence and Flexible Condition Adaptation
- Data-driven development of cycle prediction models for lithium metal batteries using multi modal mining
- Machine Learning and Multi-source Remote Sensing in Forest Aboveground Biomass Estimation: A Review
- An Ensemble Approach for Brain Tumor Segmentation and Synthesis
- Automating Chapter-Level Classification for Electronic Theses and Dissertations
- Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
- Scaling Speech-Text Pre-training with Synthetic Interleaved Data
- Distractor-free Generalizable 3D Gaussian Splatting
- Making History Readable
- Can artificial intelligence predict clinical trial outcomes?
- What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics
- VideoDirector: Precise Video Editing via Text-to-Video Models
- Pre-training for Action Recognition with Automatically Generated Fractal Datasets
- From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs
- Revisiting Point Cloud Completion: Are We Ready For The Real-World?
- A Distractor-Aware Memory for Visual Object Tracking with SAM2
- Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification
- Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach
- Improving the Convergence Rates of Forward Gradient Descent with Repeated Sampling
- A Bilayer Segmentation-Recombination Network for Accurate Segmentation of Overlapping C. elegans
- TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation
- Multiscale spatiotemporal heterogeneity analysis of bike-sharing system's self-loop phenomenon: Evidence from Shanghai
- Navigating Spatial Inequities in Freight Truck Crash Severity via Counterfactual Inference in Los Angeles
- Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving
- AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments
- Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search
- Towards Maximum Likelihood Training for Transducer-based Streaming Speech Recognition
- Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning
- HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving
- Evolving Markov Chains: Unsupervised Mode Discovery and Recognition from Data Streams
- Pushing the Limits of Large Language Model Quantization via the Linearity Theorem
- SuperMat: Physically Consistent PBR Material Estimation at Interactive Rates
- Human Vision Constrained Super-Resolution
- Training Hamiltonian neural networks without backpropagation
- Neural network modelling of kinematic and dynamic features for signature verification
- Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry
- The Limits of Inference Scaling Through Resampling
- Time-Series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation of the State-of-the-art Algorithms
- A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts
- Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval
- Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions
- Structure-Guided MR-to-CT Synthesis with Spatial and Semantic Alignments for Attenuation Correction of Whole-Body PET/MR Imaging
- Storing overlapping associative memories on latent manifolds in low-rank spiking networks
- Dual-task Mutual Reinforcing Embedded Joint Video Paragraph Retrieval and Grounding
- Adversarial Bounding Boxes Generation (ABBG) Attack against Visual Object Trackers
- ShowUI: One Vision-Language-Action Model for GUI Visual Agent
- SoK: Blockchain-Based Decentralized AI (DeAI)
- FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot Cross-modal Retrieval
- A Graph Neural Network deep-dive into successful counterattacks
- Maximally Separated Active Learning
- Identity-Preserving Text-to-Video Generation by Frequency Decomposition
- Object-centric proto-symbolic behavioural reasoning from pixels
- "Stupid robot, I want to speak to a human!" User Frustration Detection in Task-Oriented Dialog Systems
- LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements
- Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
- CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuning
- Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps
- DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters
- Multimodal Outer Arithmetic Block Dual Fusion of Whole Slide Images and Omics Data for Precision Oncology
- One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models
- A Generalized Unified Skew-Normal Process with Neural Bayes Inference
- NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds
- Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance
- Can LLMs be Good Graph Judge for Knowledge Graph Construction?
- Robust Bayesian Optimization via Localized Online Conformal Prediction
- vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
- DepthCues: Evaluating Monocular Depth Perception in Large Vision Models
- AnchorCrafter: Animate Cyber-Anchors Selling Your Products via Human-Object Interacting Video Generation
- MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting
- RealTraj: Towards Real-World Pedestrian Trajectory Forecasting
- The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations
- Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?
- Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
- Efficient transformer adaptation for analog in-memory computing via low-rank adapters
- SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting
- DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering
- Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
- Real-Time Multimodal Signal Processing for HRI in RoboCup: Understanding a Human Referee
- Automatic Skull Reconstruction by Deep Learnable Symmetry Enforcement
- Vectorization of Persistence Diagrams for Topological Data Analysis in R and Python Using TDAvec Package
- Knowledge-aware Evolutionary Graph Neural Architecture Search
- Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach
- sbi reloaded: a toolkit for simulation-based inference workflows
- VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension
- On the Generalization of Handwritten Text Recognition Models
- Towards Intention Recognition for Robotic Assistants Through Online POMDP Planning
- InsightEdit: Towards Better Instruction Following for Image Editing
- Event Ellipsometer: Event-based Mueller-Matrix Video Imaging
- PIM-AI: A Novel Architecture for High-Efficiency LLM Inference
- in-Car Biometrics (iCarB) Datasets for Driver Recognition: Face, Fingerprint, and Voice
- ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
- 2D Matryoshka Training for Information Retrieval
- GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
- TPCL: Task Progressive Curriculum Learning for Robust Visual Question Answering
- Interpretable label-free self-guided subspace clustering
- Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data
- AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
- BadScan: An Architectural Backdoor Attack on Visual State Space Models
- Social Distancing Induced Coronavirus Optimization Algorithm (COVO): Application to Multimodal Function Optimization and Noise Removal
- The Exploration of Neural Collapse under Imbalanced Data
- An Attempt to Develop a Neural Parser based on Simplified Head-Driven Phrase Structure Grammar on Vietnamese
- HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator
- MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans
- Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
- Semantic Data Augmentation for Long-tailed Facial Expression Recognition
- Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking
- Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors
- MLI-NeRF: Multi-Light Intrinsic-Aware Neural Radiance Fields
- MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers
- GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network
- Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
- MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution
- Scaling nnU-Net for CBCT Segmentation
- On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning
- Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks
- Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks
- P2DFlow: A Protein Ensemble Generative Model with SE(3) Flow Matching
- SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting
- PhysMotion: Physics-Grounded Dynamics From a Single Image
- Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment
- An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
- A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text Summarization
- Validation-Free Sparse Learning: A Phase Transition Approach to Feature Selection
- LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization
- ChatGen: Automatic Text-to-Image Generation From FreeStyle Chatting
- GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation
- Overcoming Non-monotonicity in Transducer-based Streaming Generation
- MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection
- X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
- Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors
- Motion Free B-frame Coding for Neural Video Compression
- Emergenet: A Digital Twin of Sequence Evolution for Scalable Emergence Risk Assessment of Animal Influenza A Strains
- On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance
- Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation
- Crack Detection in Infrastructure Using Transfer Learning, Spatial Attention, and Genetic Algorithm Optimization
- Neural-Network-Enhanced Metalens Camera for High-Definition, Dynamic Imaging in the Long-Wave Infrared Spectrum
- Self-reconfiguration Strategies for Space-distributed Spacecraft
- Financial Volatility and Risk Forecasting Incorporating a Larger Number of Realized Measures
- Understanding SAM's Robustness to Noisy Labels through Gradient Down-weighting
- TechCoach: Towards Technical-Point-Aware Descriptive Action Coaching
- Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach
- Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
- Learning from Noisy Labels via Conditional Distributionally Robust Optimization
- TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations
- Spatio-Temporal Conformal Prediction for Power Outage Data
- OmegaSFormer: Dual-Modal Omega-like Super-Resolution Transformer Network for Cross-scale and High-accuracy Terraced Field Vectorization Extraction
- DeepMDV: Global Spatial Matching for Multi-depot Vehicle Routing Problems
- Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering
- Fast, Precise Thompson Sampling for Bayesian Optimization
- Geometry Field Splatting with Gaussian Surfels
- Relations, Negations, and Numbers: Looking for Logic in Generative Text-to-Image Models
- Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
- Graph Structure Learning with Bi-level Optimization
- SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation
- A generalised novel loss function for computational fluid dynamics
- ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
- Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
- PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation
- 4D Scaffold Gaussian Splatting with Dynamic-Aware Anchor Growing for Efficient and High-Fidelity Dynamic Scene Reconstruction
- Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series
- Multimodal Alignment and Fusion: A Survey
- g3D-LF: Generalizable 3D-Language Feature Fields for Embodied Tasks
- RED: Robust Environmental Design
- Event-based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation
- Can a Single Tree Outperform an Entire Forest?
- SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery
- CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening