Papers
Mon 18 Mar 2024
391 papers
- Reinforcement Learning with Generalizable Gaussian SplattingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Loops On Retrieval Augmented Generation (LoRAG)Retrieval-augmented generation → RAG pipeline design and evaluation
- Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer InterfacesKnowledge distillation → Distillation for medical imaging
- SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D PriorsLLM reasoning → Spatial and embodied reasoning +1
- Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable PromptsDiffusion models → Robustness, privacy and adversarial aspects
- Reinforcement Learning from Delayed Observations via World ModelsWorld models → Latent dynamics models and model-based RL +1
- Multimodal Human-Autonomous Agents Interaction Using Pre-Trained Language and Visual Foundation ModelsLLM agents and tool use → Multimodal and embodied agents
- Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT EnvironmentsDeep reinforcement learning methods → RL for energy, networks and operations
- Decomposing Control Lyapunov Functions for Efficient Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile FlightDeep reinforcement learning methods → RL for robot navigation and UAV control
- Continual Domain RandomizationDeep reinforcement learning methods → Safe and constrained RL
- Latent CLAP Loss for Better Foley Sound SynthesisDiffusion models → Audio, speech and music
- Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly DetectionDiffusion models → Flow matching, time series and science
- EasyJailbreak: A Unified Framework for Jailbreaking Large Language ModelsLLM safety and security → Jailbreaking
- Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object SegmentationDiffusion models → Video generation
- MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World ControlWorld models → World models for language agents
- One-Step Image Translation with Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
- VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Generic 3D Diffusion Adapter Using Controlled Multi-View EditingDiffusion models → 3D, point cloud and scene generation
- FlexCap: Describe Anything in Images in Controllable DetailMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Supervised Fine-Tuning as Inverse Reinforcement LearningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +2
- Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion DistillationDiffusion models → Diffusion foundations and sampling
- EnvGen: Generating and Adapting Environments via LLMs for Training Embodied AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single ImageDiffusion models → 3D, point cloud and scene generation
- HOIDiffusion: Generating Realistic 3D Hand-Object Interaction DataDiffusion models → Diffusion and flow policies for robotics
- SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video DiffusionDiffusion models → 3D, point cloud and scene generation
- DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video EditingDiffusion models → Video generation
- SceneSense: Diffusion Models for 3D Occupancy Synthesis from Partial ObservationDiffusion models → 3D, point cloud and scene generation
- Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical TheoryDiffusion models → Diffusion foundations and sampling +1
- Explainable Reinforcement Learning-based Home Energy Management Systems using Differentiable Decision TreesDeep reinforcement learning methods → RL for energy, networks and operations
- LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time OraclesDeep reinforcement learning methods → RL theory and sample complexity
- Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
- Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllersDeep reinforcement learning methods → RL for energy, networks and operations
- Tur[k]ingBench: A Challenge Benchmark for Web AgentsLLM agents and tool use → Web, search, and research agents
- VITaL Pretraining: Visuo-Tactile Pretraining for Tactile and Non-Tactile Manipulation PoliciesOffline RL and imitation learning from data → Robot manipulation imitation learning
- KnFu: Effective Knowledge FusionKnowledge distillation → Federated, robust and private distillation
- SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention ModulesDiffusion models → Image generation, text-to-image and editing
- QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback-based Self-CorrectionLLM reasoning → Knowledge- and tool-augmented reasoning
- IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing ImagesDiffusion models → Inverse problems and image restoration
- Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication LatencyDeep reinforcement learning methods → RL for autonomous driving and traffic
- Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline DataDeep reinforcement learning methods → Deep RL algorithms and representations
- Agent3D-Zero: An Agent for Zero-shot 3D UnderstandingLLM agents and tool use → Multimodal and embodied agents
- HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View DistillationKnowledge distillation → Detection and dense prediction distillation
- Metaphor Understanding Challenge Dataset for LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Dynamic Tuning Towards Parameter and Inference Efficiency for ViT AdaptationMixture-of-experts → Vision mixture-of-experts
- How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent EnvironmentsLLM agents and tool use → Reinforcement learning for LLM agents
- Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning CorpusLLM reasoning → Reasoning benchmarks and evaluation
- Locomotion Generation for a Rat Robot based on Environmental Changes via Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling ParadigmDiffusion models → Image generation, text-to-image and editing
- Meta-Prompting for Automating Zero-shot Visual Recognition with LLMsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Generalized Multi-Source Inference for Text Conditioned Music Diffusion ModelsDiffusion models → Audio, speech and music
- LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution ImagesMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation ModelsKnowledge distillation → Detection and dense prediction distillation
- Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly DetectionDiffusion models → Flow matching, time series and science
- The Value of Reward Lookahead in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Compositional Kronecker Context Optimization for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion ModelDiffusion models → Inverse problems and image restoration
- EffiVED:Efficient Video Editing via Text-instruction Diffusion ModelsDiffusion models → Video generation
- LLM3:Large Language Model-based Task and Motion Planning with Motion Failure ReasoningLLM reasoning → Spatial and embodied reasoning
- Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts AdaptersMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- Hierarchical Spatial Proximity Reasoning for Vision-and-Language NavigationLLM reasoning → Spatial and embodied reasoning
- AICL: Action In-Context Learning for Video Diffusion ModelDiffusion models → Video generation
- State-Separated SARSA: A Practical Sequential Decision-Making Algorithm with Recovering RewardsDeep reinforcement learning methods → RL theory and sample complexity
- Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- A Sober Look at the Robustness of CLIPs to Spurious FeaturesMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Can LLMs Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction SynthesisSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and ReconstructionDiffusion models → Flow matching, time series and science
- VideoAgent: A Memory-augmented Multimodal Agent for Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- CasSR: Activating Image Power for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Zero-shot Compound Expression Recognition with Visual Language Model at the 6th ABAW ChallengeMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-MakingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- BAGS: Building Animatable Gaussian Splatting from a Monocular Video with Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous PipelinesEfficient LLM inference and serving → Serving systems and request scheduling
- DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image ManipulationDiffusion models → 3D, point cloud and scene generation
- Dynamic Contexts for Generating Suggestion Questions in RAG Based Conversational SystemsRetrieval-augmented generation → Conversational and speech RAG
- Divide-and-Conquer Posterior Sampling for Denoising Diffusion PriorsDiffusion models → Inverse problems and image restoration
- Scene-LLM: Extending Language Model for 3D Visual Understanding and ReasoningLLM reasoning → Spatial and embodied reasoning
- X-LLaVA: Optimizing Bilingual Large Vision-Language AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting PotLLM agents and tool use → General LLM agent frameworks and benchmarks
- 3D Holistic OR Anonymization
- Financial Table Extraction in Image Documents
- Digital Twin-Empowered Task Assignment in Aerial MEC Network: A Resource Coalition Cooperation Approach with Generative Model
- A Disease Labeler for Chinese Chest X-Ray Report Generation
- Usability and Performance Analysis of Embedded Development Environment for On-device Learning
- A Pretraining-Finetuning Computational Framework for Material Homogenization
- Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation
- Directed Criteria Citation Recommendation and Ranking Through Link Prediction
- Spatio-seasonal risk assessment of upward lightning at tall objects using meteorological reanalysis data
- Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams
- Emotion Detection with Transformers: A Comparative Study
- Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction
- What Are Tools Anyway? A Survey from the Language Model Perspective
- Towards Enabling FAIR Dataspaces Using Large Language Models
- Hatred Stems from Ignorance! Distillation of the Persuasion Modes in Countering Conversational Hate Speech
- What is Wrong with End-to-End Learning for Phase Retrieval?
- Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
All 391
- Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models
- Compiler generated feedback for Large Language Models
- Auditing Fairness under Unobserved Confounding
- AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions
- Human-in-the-Loop AI for Cheating Ring Detection
- Use of recommendation models to provide support to dyslexic students
- ClimateQ&A: Bridging the gap between climate scientists and the general public
- Control of Medical Digital Twins with Artificial Neural Networks
- Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance
- Graphs Unveiled: Graph Neural Networks and Graph Generation
- Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists
- Optimal Transport for Domain Adaptation through Gaussian Mixture Models
- A Clustering Method with Graph Maximum Decoding Information
- Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis
- Thwarting Cybersecurity Attacks with Explainable Concept Drift
- Invisible Backdoor Attack Through Singular Value Decomposition
- Impart: An Imperceptible and Effective Label-Specific Backdoor Attack
- HyperVQ: MLR-based Vector Quantization in Hyperbolic Space
- NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens
- N-Modal Contrastive Losses with Applications to Social Media Data in Trimodal Space
- Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
- Methods for Generating Drift in Text Streams
- GT-Rain Single Image Deraining Challenge Report
- Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices
- Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training
- EffiPerception: an Efficient Framework for Various Perception Tasks
- OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety
- Improving LoRA in Privacy-preserving Federated Learning
- Prototipo de un Contador Bidireccional Autom'atico de Personas basado en sensores de visi'on 3D
- Gradient-based Fuzzy System Optimisation via Automatic Differentiation -- FuzzyR as a Use Case
- Molecular Classification Using Hyperdimensional Graph Classification
- R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding
- Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach
- Selecting informative conformal prediction sets with false coverage rate control
- A Comparative Investigation of Compositional Syntax and Semantics in DALL-E 2
- Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation
- FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications
- Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices
- Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
- Adaptive LPD Radar Waveform Design with Generative Deep Learning
- Zero-Shot Multi-task Hallucination Detection
- Reference-based Metrics Disprove Themselves in Question Generation
- Improving Generalization via Meta-Learning on Hard Samples
- Fusion Transformer with Object Mask Guidance for Image Forgery Analysis
- Large-scale flood modeling and forecasting with FloodCast
- Private graphon estimation via sum-of-squares
- Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset
- A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness
- Synthetic Image Generation in Cyber Influence Operations: An Emergent Threat?
- Useful Compact Representations for Data-Fitting
- DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions
- Compositional learning of functions in humans and machines
- FLex: Joint Pose and Dynamic Radiance Fields Optimization for Stereo Endoscopic Videos
- E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space
- Leveraging Large Language Models to Detect npm Malicious Packages
- The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions
- PETScML: Second-order solvers for training regression problems in Scientific Machine Learning
- Neural Operators for Nonlinear Functionals on RKHS
- MAC Advice for Facility Location Mechanism Design
- TnT-LLM: Text Mining at Scale with Large Language Models
- A Systematic Review of Generalization Research in Medical Image Classification
- The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection
- Intelligent Execution through Plan Analysis
- Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models
- ThermoNeRF: Joint RGB and Thermal Novel View Synthesis for Building Facades using Multimodal Neural Radiance Fields
- Routing and Scheduling in Answer Set Programming applied to Multi-Agent Path Finding: Preliminary Report
- Development of Automated Neural Network Prediction for Echocardiographic Left ventricular Ejection Fraction
- Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification
- Syn-QA2: Evaluating False Assumptions in Long-tail Questions with Synthetic QA Datasets
- Graph Neural Networks for Learning Equivariant Representations of Neural Networks
- Light Curve Classification with DistClassiPy: a new distance-based classifier
- Transfer Learning for T-Cell Response Prediction
- Unsupervised End-to-End Training with a Self-Defined Target
- Deep learning automates Cobb angle measurement compared with multi-expert observers
- Safety Analysis of Autonomous Railway Systems: An Introduction to the SACRED Methodology
- GCAM: Gaussian and causal-attention model of food fine-grained recognition
- Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies
- Distilling Datasets Into Less Than One Image
- Zero-Shot Image Feature Consensus with Deep Functional Maps
- CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility
- HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
- RouterBench: A Benchmark for Multi-LLM Routing System
- Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
- Align and Distill: Unifying and Improving Domain Adaptive Object Detection
- Ultraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail
- From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
- A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
- Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems
- LN3DIFF++: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation
- Convergence of Kinetic Langevin Monte Carlo on Lie groups
- VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model
- Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks
- Defining Effective Engagement For Enhancing Cancer Patients' Well-being with Mobile Digital Behavior Change Interventions
- Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023
- GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
- Notochord: a Flexible Probabilistic Model for Real-Time MIDI Performance
- HIRI-ViT: Scaling Vision Transformer with High Resolution Inputs
- Learning Useful Representations of Recurrent Neural Network Weight Matrices
- Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning
- GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation
- Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teaching
- Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising
- Pedestrian Tracking with Monocular Camera using Unconstrained 3D Motion Model
- OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images
- Informed Spectral Normalized Gaussian Processes for Trajectory Prediction
- Probabilistic Calibration by Design for Neural Network Regression
- Transfer Learning Beyond Bounded Density Ratios
- Enhanced Event-Based Video Reconstruction with Motion Compensation
- Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
- IVAC-P2L: Leveraging Irregular Repetition Priors for Improving Video Action Counting
- Language Evolution with Deep Learning
- Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
- Advancing COVID-19 Detection in 3D CT Scans
- Learning Dynamical Systems Encoding Non-Linearity within Space Curvature
- Exploring Facial Expression Recognition through Semi-Supervised Pretraining and Temporal Modeling
- Multistep Inverse Is Not All You Need
- State space representations of the Roesser type for convolutional layers
- AI-Assisted Cervical Cancer Screening
- HyperColorization: Propagating spatially sparse noisy spectral clues for reconstructing hyperspectral images
- Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey
- Adaptative Bilingual Aligning Using Multilingual Sentence Embedding
- RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF
- CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification
- A Closer Look at Claim Decomposition
- Larimar: Large Language Models with Episodic Memory Control
- GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
- Investigating Markers and Drivers of Gender Bias in Machine Translations
- From Explainable to Interpretable Deep Learning for Natural Language Processing in Healthcare: How Far from Reality?
- ReGenNet: Towards Human Action-Reaction Synthesis
- Unimodal Multi-Task Fusion for Emotional Mimicry Intensity Prediction
- InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpainting
- Efficient Training of Learning-Based Thermal Power Flow for 4th Generation District Heating Grids
- Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping
- Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors
- CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite
- Graph Neural Network for Neutrino Physics Event Reconstruction
- The Real Tropical Geometry of Neural Networks
- View-Consistent 3D Editing with Gaussian Splatting
- Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging
- GPT-4 as Evaluator: Evaluating Large Language Models on Pest Management in Agriculture
- Complete and Efficient Graph Transformers for Crystal Material Property Prediction
- denoiSplit: a method for joint microscopy image splitting and unsupervised denoising
- GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection
- Near-Optimal Solutions of Constrained Learning Problems
- Fuzzy Rough Choquet Distances for Classification
- Multi-Criteria Comparison as a Method of Advancing Knowledge-Guided Machine Learning
- Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
- Towards Understanding the Relationship between In-context Learning and Compositional Generalization
- SSCAE -- Semantic, Syntactic, and Context-aware natural language Adversarial Examples generator
- BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting
- Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
- Sound Event Detection and Localization with Distance Estimation
- Integrating Physics Inspired Features with Graph Convolution
- A Survey on Quality Metrics for Text-to-Image Generation
- TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions
- Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery
- Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
- Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models
- OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation
- Low-Cost Privacy-Preserving Decentralized Learning
- SETA: Semantic-Aware Token Augmentation for Domain Generalization
- PAON: A New Neuron Model using Pad'e Approximants
- Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling
- EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding
- Construction of Hyper-Relational Knowledge Graphs Using Pre-Trained Large Language Models
- A tutorial on learning from preferences and choices with Gaussian Processes
- Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt
- Towards the Development of a Real-Time Deepfake Audio Detection System in Communication Platforms
- DVN-SLAM: Dynamic Visual Neural SLAM Based on Local-Global Encoding
- S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention
- Modality-Agnostic fMRI Decoding of Vision and Language
- BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation
- 3R-INN: How to be climate friendly while consuming/delivering videos?
- Efficient Feature Extraction and Late Fusion Strategy for Audiovisual Emotional Mimicry Intensity Estimation
- Revisiting The Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems
- Relational Representation Learning Network for Cross-Spectral Image Patch Matching
- Embedded Named Entity Recognition using Probing Classifiers
- PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
- LSKNet: A Foundation Lightweight Backbone for Remote Sensing
- Learning More Expressive General Policies for Classical Planning Domains
- PITA: Physics-Informed Trajectory Autoencoder
- Time Series Compression using Quaternion Valued Neural Networks and Quaternion Backpropagation
- Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
- Coarsening of chiral domains in itinerant electron magnets: A machine learning force field approach
- A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos
- Urban Scene Diffusion through Semantic Occupancy Map
- Generalization error of spectral algorithms
- TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction
- Object Segmentation-Assisted Inter Prediction for Versatile Video Coding
- MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
- Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
- Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
- MASSTAR: A Multi-Modal and Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion
- NEDS-SLAM: A Neural Explicit Dense Semantic SLAM Framework using 3D Gaussian Splatting
- Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes
- Better (pseudo-)labels for semi-supervised instance segmentation
- Towards Generalizing to Unseen Domains with Few Labels
- WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT Denoising
- HDLdebugger: Streamlining HDL debugging with Large Language Models
- Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction
- LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model
- Prioritized Semantic Learning for Zero-shot Instance Navigation
- Gridless 2D Recovery of Lines using the Sliding Frank-Wolfe Algorithm
- MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
- Diffusion-Based Environment-Aware Trajectory Prediction
- Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
- Arc2Face: A Foundation Model for ID-Consistent Human Faces
- An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation
- Personalized 3D Human Pose and Shape Refinement
- QEAN: Quaternion-Enhanced Attention Network for Visual Dance Generation
- GaussNav: Gaussian Splatting for Visual Navigation
- Dual-Channel Multiplex Graph Neural Networks for Recommendation
- Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model
- Multi-View Video-Based Learning: Leveraging Weak Labels for Frame-Level Perception
- Fair Distributed Cooperative Bandit Learning on Networks for Intelligent Internet of Things Systems (Technical Report)
- Optimal Layout Synthesis for Deep Quantum Circuits on NISQ Processors with 100+ Qubits
- End-to-end multi-modal product matching in fashion e-commerce
- A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs
- HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Prediction
- UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures for Human Avatar Modeling
- DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction
- Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines
- OurDB: Ouroboric Domain Bridging for Multi-Target Domain Adaptive Semantic Segmentation
- 3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration
- MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation
- Offline Multitask Representation Learning for Reinforcement Learning
- Just Add 100 More: Augmenting NeRF-based Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
- Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes
- LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge
- Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions
- Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units
- Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
- Reinforcement Learning with Token-level Feedback for Controllable Text Generation
- Hierarchical Frequency-based Upsampling and Refining for Compressed Video Quality Enhancement
- TARN-VIST: Topic Aware Reinforcement Network for Visual Storytelling
- RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model
- Semantic Prompting with Image-Token for Continual Learning
- OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System
- Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)
- Continual Forgetting for Pre-trained Vision Models
- Video Object Segmentation with Dynamic Query Modulation
- LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
- A Data-driven Approach for Rapid Detection of Aeroelastic Modes from Flutter Flight Test Based on Limited Sensor Measurements
- SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications
- Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation
- GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects
- DEE: Dual-stage Explainable Evaluation Method for Text Generation
- Circle Representation for Medical Instance Object Segmentation
- End-To-End Underwater Video Enhancement: Dataset and Model
- COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanism
- MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
- Domain Adaptation Using Pseudo Labels for COVID-19 Detection
- MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception
- Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
- CCC++: Optimized Color Classified Colorization with Segment Anything Model (SAM) Empowered Object Selective Color Harmonization
- SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
- Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
- Open-World Semi-Supervised Learning for Node Classification
- Towards understanding the nature of direct functional connectivity in visual brain network
- Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
- Word Order's Impacts: Insights from Reordering and Generation Analysis
- Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training
- Generative Motion Stylization of Cross-structure Characters within Canonical Motion Space
- CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V
- FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
- Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding
- Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning
- HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
- Hybrid Explicit Representation for Ultra-Realistic Head Avatars
- Graph Partial Label Learning with Potential Cause Discovering
- Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
- Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstruction
- LLM Guided Evolution -- The Automation of Models Advancing Models
- Boosting Continuous Emotion Recognition with Self-Pretraining using Masked Autoencoders, Temporal Convolutional Networks, and Transformers
- StyleChat: Learning Recitation-Augmented Memory in LLMs for Stylized Dialogue Generation
- InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
- A Novel Paradigm Boosting Translation Capabilities of Large Language Models
- Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure
- Benchmarking the Robustness of UAV Tracking Against Common Corruptions
- VmambaIR: Visual State Space Model for Image Restoration
- Neural network representation of quantum systems
- Variational Sampling of Temporal Trajectories
- Layer-diverse Negative Sampling for Graph Neural Networks
- Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT
- Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
- Automated data processing and feature engineering for deep learning and big data applications: a survey
- Investigating the Benefits of Projection Head for Representation Learning
- Stochastic approach for elliptic problems in perforated domains
- Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach
- ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
- Path-GPTOmic: A Balanced Multi-modal Learning Framework for Survival Outcome Prediction