Papers
Wed 27 Mar 2024
297 papers
- What are human values, and how do we align AI to them?LLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Towards Human-Centered Construction Robotics: A Reinforcement Learning-Driven Companion Robot for Contextually Assisting Carpentry WorkersDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LITA: Language Instructed Temporal-Localization AssistantMultimodal LLMs / vision-language models → Video understanding with MLLMs
- EgoNav: Egocentric Scene-aware Human Trajectory PredictionDiffusion models → Diffusion and flow policies for robotics
- Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric RewardsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement LearningDeep reinforcement learning methods → RL for clinical treatment and surgery
- TextCraftor: Your Text Encoder Can be Image Quality ControllerDiffusion models → Image generation, text-to-image and editing
- LORD: Large Models based Opposite Reward Design for Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies +3
- CPR: Retrieval Augmented Generation for Copyright ProtectionRetrieval-augmented generation → Privacy and security of RAG +2
- ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and InsertionDiffusion models → 3D, point cloud and scene generation
- Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth EstimationDiffusion models → 3D, point cloud and scene generation
- Is Modularity Transferable? A Case Study through the Lens of Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstructionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Object Pose Estimation via the Aggregation of Diffusion FeaturesDiffusion models → 3D, point cloud and scene generation
- ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic ObjectDiffusion models → Diffusion foundations and sampling
- CaT: Constraints as Terminations for Legged Locomotion Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Understanding the Learning Dynamics of Alignment with Human FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Probabilistic Model Checking of Stochastic Reinforcement Learning PoliciesDeep reinforcement learning methods → Safe and constrained RL
- Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Conditional Wasserstein Distances with Applications in Bayesian OT Flow MatchingDiffusion models → Flow matching, time series and science
- SDSAT: Accelerating LLM Inference through Speculative Decoding with Semantic Adaptive TokensEfficient LLM inference and serving → Speculative decoding
- Sampling-Based Motion Planning with Online Racing Line Generation for Autonomous Driving on Three-Dimensional Race TracksEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- A Diffusion-Based Generative Equalizer for Music RestorationDiffusion models → Audio, speech and music
- RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional VideosRetrieval-augmented generation → Agentic RAG, agents and memory
- CosalPure: Learning Concept from Group Images for Robust Co-Saliency DetectionDiffusion models → Image generation, text-to-image and editing
- Safe and Robust Reinforcement Learning: Principles and PracticeDeep reinforcement learning methods → Safe and constrained RL
- Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Bridging the Gap: Regularized Reinforcement Learning for Improved Classical Motion Planning with Safety ModulesDeep reinforcement learning methods → Safe and constrained RL
- CT-3DFlow : Leveraging 3D Normalizing Flows for Unsupervised Detection of Pathological Pulmonary CT scansDiffusion models → Medical imaging and segmentation
- I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Scaling Vision-and-Language Navigation With Offline RLOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- SingularTrajectory: Universal Trajectory Predictor Using Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
- U-Sketch: An Efficient Approach for Sketch to Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- ECNet: Effective Controllable Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLMLLM reasoning → Multimodal reasoning +1
- Improving Attributed Text Generation of Large Language Models via Preference LearningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Ship in Sight: Diffusion Models for Ship-Image Super ResolutionDiffusion models → Inverse problems and image restoration
- Rejection Improves Reliability: Training LLMs to Refuse Unknown Questions Using RL from Knowledge FeedbackLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal PerspectiveMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- IterAlign: Iterative Constitutional Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Dual Instruction Tuning with Large Language Models for Mathematical ReasoningLLM reasoning → Mathematical reasoning
- Efficient Test-Time Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of TransformersState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Toward Interactive Regional Understanding in Vision-Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech SeparationState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Manipulating Neural Path Planners via Slight PerturbationsLLM safety and security → Prompt injection and agent security
- Beyond Embeddings: The Promise of Visual Table in Visual ReasoningLLM reasoning → Multimodal reasoning
- Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-CheckRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Multi-AGV Path Planning Method via Reinforcement Learning and Particle FiltersDeep reinforcement learning methods → RL for robot navigation and UAV control
- Large Language Models Need Consultants for Reasoning: Becoming an Expert in a Complex Human System Through Behavior SimulationLLM reasoning → Reasoning for agents, planning and code
- Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning PoliciesOffline RL and imitation learning from data → Imitation learning methods
- From Two-Dimensional to Three-Dimensional Environment with Q-Learning: Modeling Autonomous Navigation with Reinforcement Learning and no LibrariesDeep reinforcement learning methods → Deep RL algorithms and representations
- NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level ModulationDiffusion models → Medical imaging and segmentation
- Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- LayoutFlow: Flow Matching for Layout GenerationDiffusion models → Image generation, text-to-image and editing
- PhoWhisper: Automatic Speech Recognition for Vietnamese
- The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations
- How Does Message Passing Improve Collaborative Filtering?
- Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling
- Intelligent Learning Rate Distribution to reduce Catastrophic Forgetting in Transformers
- Temporal Graph Networks for Graph Anomaly Detection in Financial Networks
- Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
- Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation
- A Python library for efficient computation of molecular fingerprints
- A Picture is Worth 500 Labels: A Case Study of Demographic Disparities in Local Machine Learning Models for Instagram and TikTok
- Capability-aware Prompt Reformulation Learning for Text-to-Image Generation
- Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions
- CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems
- Detecting Generative Parroting through Overfitting Masked Autoencoders
- Illicit object detection in X-ray images using Vision Transformers
- Uncovering Temporal Patterns in Visualizations of High-Dimensional Data
- Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data
- WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects under Occlusion
- IDGenRec: LLM-RecSys Alignment with Textual ID Learning
- Thelxino"e: Recognizing Human Emotions Using Pupillometry and Machine Learning
- ReflectSumm: A Benchmark for Course Reflection Summarization
- Sequential Inference of Hospitalization Electronic Health Records Using Probabilistic Models
- Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning
- Robust Active Speaker Detection in Noisy Environments
- Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction
- Cross-System Categorization of Abnormal Traces in Microservice-Based Systems via Meta-Learning
- Causal-StoNet: Causal Inference for High-Dimensional Complex Data
- Dealing with Imbalanced Classes in Bot-IoT Dataset
- "Sorry, Come Again?" Prompting -- Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing
- A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models
- Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition
- A Survey on Large Language Models from Concept to Implementation
- Leveraging Quantum Superposition to Infer the Dynamic Behavior of a Spatial-Temporal Neural Network Signaling Model
- A State-of-the-practice Release-readiness Checklist for Generative AI-based Software Products
- Moderating Illicit Online Image Promotion for Unsafe User-Generated Content Games Using Large Vision-Language Models
- Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
- SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages
- Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
- Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D
- SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction
- PLOT-TAL: Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization
All 297
- UniDepth: Universal Monocular Metric Depth Estimation
- A Geometric Explanation of the Likelihood OOD Detection Paradox
- Enhancing Multiple Object Tracking Accuracy via Quantum Annealing
- Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
- Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior
- Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark
- MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering
- Benchmarking Object Detectors with COCO: A New Path Forward
- Garment3DGen: 3D Garment Stylization and Texture Generation
- Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment
- Projective Methods for Mitigating Gender Bias in Pre-trained Language Models
- Long-form factuality in large language models
- SplatFace: Gaussian Splat Face Reconstruction Leveraging an Optimizable Surface
- Towards a World-English Language Model for On-Device Virtual Assistants
- CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists
- Improved Neural Protoform Reconstruction via Reflex Prediction
- Superior Parallel Big Data Clustering through Competitive Stochastic Sample Size Optimization in Big-means
- ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition
- Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
- Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time
- CYCLE: Learning to Self-Refine the Code Generation
- Usage-Specific Survival Modeling Based on Operational Data and Neural Networks
- Nonlinear model reduction for operator learning
- A vascular synthetic model for improved aneurysm segmentation and detection via Deep Neural Networks
- Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methods
- Towards Image Ambient Lighting Normalization
- Semi-Supervised Learning for Deep Causal Generative Models
- Bringing Textual Prompt to AI-Generated Image Quality Assessment
- SAT-NGP : Unleashing Neural Graphics Primitives for Fast Relightable Transient-Free 3D reconstruction from Satellite Imagery
- Energy-Guided Data Sampling for Traffic Prediction with Mini Training Datasets
- Dense Vision Transformer Compression with Few Samples
- FPGA-Based Neural Thrust Controller for UAVs
- Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)
- The Invalsi Benchmarks: measuring Linguistic and Mathematical understanding of Large Language Models in Italian
- Annolid: Annotate, Segment, and Track Anything You Need
- InceptionTime vs. Wavelet -- A comparison for time series classification
- Representatividad Muestral en la Incertidumbre Sim'etrica Multivariada para la Selecci'on de Atributos
- Scaling Laws For Dense Retrieval
- Deep Fusion: Capturing Dependencies in Contrastive Learning via Transformer Projection Heads
- Non-Linear Inference Time Intervention: Improving LLM Truthfulness
- Deep Learning for Robust and Explainable Models in Computer Vision
- Fact Checking Beyond Training Set
- Aiming for Relevance
- Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
- Neural Network-Based Piecewise Survival Models
- InstructBrush: Learning Attention-based Instruction Optimization for Image Editing
- INEXA: Interactive and Explainable Process Model Abstraction Through Object-Centric Process Mining
- Theoretical Guarantees for the Subspace-Constrained Tyler's Estimator
- Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets
- Transformers-based architectures for stroke segmentation: A review
- Fusion approaches for emotion recognition from speech using acoustic and text-based features
- First Experiences with the Identification of People at Risk for Diabetes in Argentina using Machine Learning Techniques
- Vulnerability Detection with Code Language Models: How Far Are We?
- Scalable Lipschitz Estimation for CNNs
- A survey on learning models of spiking neural membrane systems and spiking neural networks
- Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices
- FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing
- Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements
- Homogeneous Tokenizer Matters: Homogeneous Visual Tokenizer for Remote Sensing Image Understanding
- Safety Verification of Wait-Only Non-Blocking Broadcast Protocols
- Users prefer Jpegli over same-sized libjpeg-turbo or MozJPEG
- The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision
- One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch
- On Optimizing Hyperparameters for Quantum Neural Networks
- SteinGen: Generating Fidelitous and Diverse Graph Samples
- HandBooster: Boosting 3D Hand-Mesh Reconstruction by Conditional Synthesis and Sampling of Hand-Object Interactions
- Physics-Informed Graph Neural Networks for Water Distribution Systems
- PDNNet: PDN-Aware GNN-CNN Heterogeneous Network for Dynamic IR Drop Prediction
- Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning -- A Review
- Noise-Robust Keyword Spotting through Self-supervised Pretraining
- Debiasing Sentence Embedders through Contrastive Word Pairs
- Attention Calibration for Disentangled Text-to-Image Personalization
- OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
- A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint
- Neural Architecture Search for Sentence Classification with BERT
- Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes
- Attention-aware semantic relevance predicting Chinese sentence reading
- skscope: Fast Sparsity-Constrained Optimization in Python
- A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks
- A Novel Behavior-Based Recommendation System for E-commerce
- Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs
- Improving Line Search Methods for Large Scale Neural Network Training
- Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models
- ParCo: Part-Coordinating Text-to-Motion Synthesis
- Distributed Maximum Consensus over Noisy Links
- Faster Convergence for Transformer Fine-tuning with Line Search Methods
- AcTED: Automatic Acquisition of Typical Event Duration for Semi-supervised Temporal Commonsense QA
- HEMIT: H&E to Multiplex-immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator
- Direct mineral content prediction from drill core images via transfer learning
- Learning in PINNs: Phase transition, diffusion equilibrium, and generalization
- VersaT2I: Improving Text-to-Image Models with Versatile Reward
- Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models
- Modeling uncertainty for Gaussian Splatting
- DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis
- Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
- Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset
- An Efficient and Harmonized Framework for Balanced Cross-Domain Feature Integration
- CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration
- CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT
- Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
- FRESCO: Federated Reinforcement Energy System for Cooperative Optimization
- F2Depth: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis
- Backpropagation-free Network for 3D Test-time Adaptation
- Generalized Policy Learning for Smart Grids: FL TRPO Approach
- Global Vegetation Modeling with Pre-Trained Weather Transformers
- Collaborative Active Learning in Conditional Trust Environment
- DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
- Exploring language relations through syntactic distances and geographic proximity
- TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
- SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks
- BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
- The Topos of Transformer Networks
- A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification
- Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval
- On Spectrogram Analysis in a Multiple Classifier Fusion Framework for Power Grid Classification Using Electric Network Frequency
- Colour and Brush Stroke Pattern Recognition in Abstract Art using Modified Deep Convolutional Generative Adversarial Networks
- Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering
- FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion
- Generative Multi-modal Models are Good Class-Incremental Learners
- IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction
- Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
- BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection
- BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models
- Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoT
- ViTAR: Vision Transformer with Any Resolution
- Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
- MonoHair: High-Fidelity Hair Modeling from a Monocular Video
- Supervised Multiple Kernel Learning approaches for multi-omics data integration
- Generating Diverse Agricultural Data for Vision-Based Farming Applications
- Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language
- A Quantum Fuzzy-based Approach for Real-Time Detection of Solar Coronal Holes
- LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
- The Artificial Neural Twin -- Process Optimization and Continual Learning in Distributed Process Chains
- Learning Inclusion Matching for Animation Paint Bucket Colorization
- H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
- mALBERT: Is a Compact Multilingual BERT Model Still Worth It?
- Macroscale fracture surface segmentation via semi-supervised learning considering the structural similarity
- A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
- DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
- Tracking-Assisted Object Detection with Event Cameras
- PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans
- forallutoexistsval: Autonomous Assessment of LLMs in Formal Synthesis and Interpretation Tasks
- Privacy-Preserving Distributed Nonnegative Matrix Factorization
- Quantum Algorithms: A New Frontier in Financial Crime Prevention
- Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons
- Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks
- Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
- Chinese Offensive Language Detection:Current Status and Future Directions
- A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites
- A Recommender System for NFT Collectibles with Item Feature
- Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network
- Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
- GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
- Multi-scale Unified Network for Image Classification
- Towards Non-Exemplar Semi-Supervised Class-Incremental Learning
- Few-Shot Recalibration of Language Models
- SGDM: Static-Guided Dynamic Module Make Stronger Visual Models
- AIR-HLoc: Adaptive Retrieved Images Selection for Efficient Visual Localisation
- Identification and Uses of Deep Learning Backbones via Pattern Mining
- BlendX: Complex Multi-Intent Detection with Blended Patterns
- DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment
- Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
- Image Deraining via Self-supervised Reinforcement Learning
- Clustering Change Sign Detection by Fusing Mixture Complexity
- DSF-GAN: DownStream Feedback Generative Adversarial Network
- Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
- Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach
- Enhancing Metaphor Detection through Soft Labels and Target Word Prediction
- Since the Scientific Literature Is Multilingual, Our Models Should Be Too
- Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges
- Statistical Inference of Optimal Allocations I: Regularities and their Implications
- NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation
- TAFormer: A Unified Target-Aware Transformer for Video and Motion Joint Prediction in Aerial Scenes
- Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data
- Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification
- A Transformer-Based Framework for Payload Malware Detection and Classification
- Leveraging Large Language Models for Fuzzy String Matching in Political Science
- Minimax Optimal Fair Classification with Bounded Demographic Disparity
- Preference-Based Planning in Stochastic Environments: From Partially-Ordered Temporal Goals to Most Preferred Policies
- An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition
- Road Obstacle Detection based on Unknown Objectness Scores
- Exploring the Privacy Protection Capabilities of Chinese Large Language Models
- EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications
- Few-shot Online Anomaly Detection and Segmentation
- Generative Medical Segmentation
- Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities
- SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network
- Middle Fusion and Multi-Stage, Multi-Form Prompts for Robust RGB-T Tracking
- Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples
- Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting
- Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence
- ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus
- Compression of the Koopman matrix for nonlinear physical models via hierarchical clustering
- Multi-Layer Dense Attention Decoder for Polyp Segmentation
- Online Embedding Multi-Scale CLIP Features into 3D Maps
- Mistake, Manipulation and Margin Guarantees in Online Strategic Classification
- Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations