Papers
Tue 28 Nov 2023
313 papers
- Image Inpainting via Tractable Steering of Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Training Chain-of-Thought via Latent-Variable InferenceLLM reasoning → Prompting and chain-of-thought reasoning
- Empowering Autonomous Driving with Large Language Models: A Safety PerspectiveEnd-to-end autonomous driving → Large language models for driving
- MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated LearningLLM safety and security → Federated unlearning and poisoning
- Unlocking Spatial Comprehension in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World WarsLLM agents and tool use → Social simulation and multi-agent debate
- Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- A point cloud approach to generative modeling for galaxy surveys at the field levelDiffusion models → Inverse problems and image restoration
- Generative Models: What Do They Know? Do They Know Things? Let's Find Out!Diffusion models → Diffusion foundations and sampling
- Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image SynthesisLLM reasoning → Multimodal reasoning +1
- ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic SegmentationDiffusion models → Medical imaging and segmentation
- Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character AnimationDiffusion models → Video generation
- Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SEED-Bench-2: Benchmarking Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing +1
- DreamPropeller: Supercharge Text-to-3D Generation with Parallel SamplingDiffusion models → 3D, point cloud and scene generation
- DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- LLaMA-VID: An Image is Worth 2 Tokens in Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Adversarial Diffusion DistillationDiffusion models → Diffusion foundations and sampling
- Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional PropertiesMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation PatchingMechanistic interpretability → Circuits and mechanistic analysis
- MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Ranni: Taming Text-to-Image Diffusion for Accurate Instruction FollowingDiffusion models → Image generation, text-to-image and editing
- HumanRef: Single Image to 3D Human Generation via Reference-Guided DiffusionDiffusion models → 3D, point cloud and scene generation
- SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion ModelsDiffusion models → Video generation
- Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3DDiffusion models → 3D, point cloud and scene generation
- A Unified Approach for Text- and Image-guided 4D Scene GenerationDiffusion models → 3D, point cloud and scene generation
- RELIC: Investigating Large Language Model Responses using Self-ConsistencyLLM reasoning → Test-time compute and efficient thinking
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference OptimizationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human BrainDiffusion models → Medical imaging and segmentation
- As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorldLLM agents and tool use → Multimodal and embodied agents
- LEDITS++: Limitless Image Editing using Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
- Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor SegmentationKnowledge distillation → Distillation for medical imaging
- Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method PerspectiveLLM safety and security → Backdoor and data poisoning attacks
- FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial LearningKnowledge distillation → Federated, robust and private distillation
- MobileDiffusion: Instant Text-to-Image Generation on Mobile DevicesDiffusion models → Image generation, text-to-image and editing
- DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face DiffuserDiffusion models → Audio, speech and music
- Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Agents meet OKR: An Object and Key Results Driven Agent System with Hierarchical Self-Collaboration and Self-EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Federated Learning with Diffusion Models for Privacy-Sensitive Vision TasksDiffusion models → Robustness, privacy and adversarial aspects
- Straighter Flow Matching via a Diffusion-Based Coupling PriorDiffusion models → Flow matching, time series and science
- Efficient Multimodal Diffusion Models Using Joint Data Infilling with Partially Shared U-NetDiffusion models → Image generation, text-to-image and editing
- TextDiffuser-2: Unleashing the Power of Language Models for Text RenderingDiffusion models → Image generation, text-to-image and editing
- CLAP: Isolating Content from Style through Contrastive Learning with Augmented PromptsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Manifold Preserving Guided DiffusionDiffusion models → Diffusion foundations and sampling
- Automatic Recognition of Learning Resource Category in a Digital Library
- F4D: Factorized 4D Convolutional Neural Network for Efficient Video-level Representation Learning
- STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers
- Safe Reinforcement Learning in a Simulated Robotic Arm
- Performance Analysis of Fixed Broadband Wireless Access in mmWave Band in 5G
- Integration of Robotics, Computer Vision, and Algorithm Design: A Chinese Poker Self-Playing Robot
- MANTIS at #SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit
- Predicting Multi-Joint Kinematics of the Upper Limb from EMG Signals Across Varied Loads with a Physics-Informed Neural Network
- HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos
- Comparing Generative Chatbots Based on Process Requirements
- A Survey on Prompting Techniques in LLMs
- Syntax-Informed Interactive Model for Comprehensive Aspect-Based Sentiment Analysis
- Syntactic Fusion: Enhancing Aspect-Level Sentiment Analysis Through Multi-Tree Graph Integration
- A Generic NLI approach for Classification of Sentiment Associated with Therapies
- De-identification of clinical free text using natural language processing: A systematic review of current approaches
- Advancing State of the Art in Language Modeling
- Conditional Prompt Tuning for Multimodal Fusion
- Methods to Estimate Large Language Model Confidence
- A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
- MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
- Seizure detection from Electroencephalogram signals via Wavelets and Graph Theory metrics
- Anti-Sexism Alert System: Identification of Sexist Comments on Social Media Using AI Techniques
- A Case for Competent AI Systems - A Concept Note
- Enhancing Cyber-Resilience in Integrated Energy System Scheduling with Demand Response Using Deep Reinforcement Learning
- Scene Summarization: Clustering Scene Videos into Spatially Diverse Frames
- Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations
- Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions?
- LiveTune: Dynamic Parameter Tuning for Feedback-Driven Optimization
- An Online Optimization-Based Decision Support Tool for Small Farmers in India: Learning in Non-stationary Environments
- E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer
- RETSim: Resilient and Efficient Text Similarity
- SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata
- Pattern retrieval of traffic congestion using graph-based associations of traffic domain-specific features
- SubZero: Subspace Zero-Shot MRI Reconstruction
- Fourier Neural Differential Equations for learning Quantum Field Theories
- Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems
- LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
- PHG-Net: Persistent Homology Guided Medical Image Classification
- End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames
- Quantifying the redundancy between prosody and text
- ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development
- Survey on AI Ethics: A Socio-technical Perspective
- Invariance assumptions for class distribution estimation
- BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
- General-Purpose vs. Domain-Adapted Large Language Models for Extraction of Structured Data from Chest Radiology Reports
- Optimal EEG Electrode Set for Emotion Recognition From Brain Signals: An Empirical Quest
- Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play
- SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
- THInImg: Cross-modal Steganography for Presenting Talking Heads in Images
- A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth
All 313
- (Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
- Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder
- Pragmatic Radiology Report Generation
- Calabi-Yau Four/Five/Six-folds as mathbbPnw Hypersurfaces: Machine Learning, Approximation, and Generation
- Predicting the Age of Astronomical Transients from Real-Time Multivariate Time Series
- Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
- UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
- TLControl: Trajectory and Language Control for Human Motion Synthesis
- GlycoNMR: Dataset and benchmarks for NMR chemical shift prediction of carbohydrates with graph neural networks
- Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond
- TransNeXt: Robust Foveal Visual Perception for Vision Transformers
- Feedback RoI Features Improve Aerial Object Detection
- Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks
- A knowledge-driven AutoML architecture
- ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis
- Large Model Based Referring Camouflaged Object Detection
- Continuous Pose for Monocular Cameras in Neural Implicit Representation
- Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition
- REF2-NeRF: Reflection and Refraction aware Neural Radiance Field
- Human Gaussian Splatting: Real-time Rendering of Animatable Avatars
- Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
- XAI for time-series classification leveraging image highlight methods
- Neural Texture Puppeteer: A Framework for Neural Geometry and Texture Rendering of Articulated Shapes, Enabling Re-Identification at Interactive Speed
- ClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate Statements?
- On the Calibration of Human Pose Estimation
- Single-Cell Deep Clustering Method Assisted by Exogenous Gene Information: A Novel Approach to Identifying Cell Types
- Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters
- A High-Quality Robust Diffusion Framework for Corrupted Dataset
- StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences
- DyRA: Portable Dynamic Resolution Adjustment Network for Existing Detectors
- Anonymous Jamming Detection in 5G with Bayesian Network Model Based Inference Analysis
- Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation
- In Search of a Data Transformation That Accelerates Neural Field Training
- A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models
- Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
- Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies
- Rethinking Mixup for Improving the Adversarial Transferability
- Beyond Visual Cues: Synchronously Exploring Target-Centric Semantics for Vision-Language Tracking
- DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation
- CLiC: Concept Learning in Context
- I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
- Combating the "Sameness" in AI Art: Reflections on the Interactive AI Installation Fencing Hallucination
- HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting
- Material Palette: Extraction of Materials from a Single Image
- Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
- Panoptic Video Scene Graph Generation
- ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions
- Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
- No Representation Rules Them All in Category Discovery
- MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
- Zero-shot Referring Expression Comprehension via Structural Similarity Between Images and Captions
- Scalable Extraction of Training Data from (Production) Language Models
- Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
- When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning
- Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
- Optimal Categorical Instrumental Variables
- Foundational Moral Values for AI Alignment
- Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer
- An Investigation of Time Reversal Symmetry in Reinforcement Learning
- Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots
- On the Impact of Sampling on Deep Sequential State Estimation
- Goal-conditioned Offline Planning from Curious Exploration
- ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
- FedECA: Federated External Control Arms for Causal Inference with Time-To-Event Data in Distributed Settings
- Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models
- Bidirectional Reactive Programming for Machine Learning
- COLE: A Hierarchical Generation Framework for Multi-Layered and Editable Graphic Design
- Natural Language Processing Through Transfer Learning: A Case Study on Sentiment Analysis
- Machine learning force-field models for metallic spin glass
- Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent
- UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving
- Image segmentation with traveling waves in an exactly solvable recurrent neural network
- Debiasing Multimodal Models via Causal Information Minimization
- The Sky's the Limit: Re-lightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility
- LLaFS: When Large Language Models Meet Few-Shot Segmentation
- Super-Resolution through StyleGAN Regularized Latent Search: A Realism-Fidelity Trade-off
- UGG: Unified Generative Grasping
- Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
- Multinomial belief networks for healthcare data
- Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR
- Optimization Theory Based Deep Reinforcement Learning for Resource Allocation in Ultra-Reliable Wireless Networked Control Systems
- Dendrogram distance: an evaluation metric for generative networks using hierarchical clustering
- Compressing the Backward Pass of Large-Scale Neural Architectures by Structured Activation Pruning
- Optimisation-Based Multi-Modal Semantic Image Editing
- Imputation using training labels and classification via label imputation
- Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing
- A unified weighting framework for evaluating nearest neighbour classification
- The Falcon Series of Open Language Models
- A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography
- Power Hungry Processing: Watts Driving the Cost of AI Deployment?
- Data-efficient operator learning for solving high Mach number fluid flow problems
- Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
- Optimal minimax rate of learning nonlocal interaction kernels
- Edge AI for Internet of Energy: Challenges and Perspectives
- Identifiable Feature Learning for Spatial Data with Nonlinear ICA
- Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration
- Self-training solutions for the ICCV 2023 GeoNet Challenge
- Two-step dynamic obstacle avoidance
- The Claire French Dialogue Dataset
- Unified-modal Salient Object Detection via Adaptive Prompt Learning
- FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series
- 1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness
- CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models
- Polarized Online Discourse on Abortion: Frames and Hostile Expressions among Liberals and Conservatives
- Decomposer: Semi-supervised Learning of Image Restoration and Image Decomposition
- SARA: Controllable Makeup Transfer with Spatial Alignment and Region-Adaptive Normalization
- Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
- DI-Net : Decomposed Implicit Garment Transfer Network for Digital Clothed 3D Human
- Panacea: Panoramic and Controllable Video Generation for Autonomous Driving
- Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
- A Survey of the Evolution of Language Model-Based Dialogue Systems: Data, Task and Models
- Evaluating Optimal Reference Translations
- The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation
- Generation of Games for Opponent Model Differentiation
- Multi-Channel Cross Modal Detection of Synthetic Face Images
- The HR-Calculus: Enabling Information Processing with Quaternion Algebra
- Equilibrium in the Computing Continuum through Active Inference
- Rescuing referral failures during automated diagnosis of domain-shifted medical images
- Radiology-Aware Model-Based Evaluation Metric for Report Generation
- Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant Nodes
- Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous Driving
- Asynchronous Wireless Federated Learning with Probabilistic Client Selection
- Riemannian Self-Attention Mechanism for SPD Networks
- Point'n Move: Interactive Scene Object Manipulation on Gaussian Splatting Radiance Fields
- LLMs for Science: Usage for Code Generation and Data Analysis
- Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras
- Sluggish and Chemically-Biased Interstitial Diffusion in Concentrated Solid Solution Alloys: Mechanisms and Methods
- GraphPro: Graph Pre-training and Prompt Learning for Recommendation
- Full-resolution MLPs Empower Medical Dense Prediction
- Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm
- CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs
- Hyper-Relational Knowledge Graph Neural Network for Next POI
- ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention
- Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
- ROSO: Improving Robotic Policy Inference via Synthetic Observations
- Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis
- A Distribution-Based Threshold for Determining Sentence Similarity
- Large Language Models Meet Computer Vision: A Brief Survey
- SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation
- PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network
- LiveNVS: Neural View Synthesis on Live RGB-D Streams
- MultiModal-Learning for Predicting Molecular Properties: A Framework Based on Image and Graph Structures
- DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes
- SCALAR-NeRF: SCAlable LARge-scale Neural Radiance Fields for Scene Reconstruction
- Pseudo-Likelihood Inference
- Elucidating Discrepancy in Explanations of Predictive Models Developed using EMR
- Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning
- Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification
- Finnish 5th and 6th graders' misconceptions about Artificial Intelligence
- Positioning Political Texts with Large Language Models by Asking and Averaging
- Parallax-Tolerant Image Stitching with Epipolar Displacement Field
- MotionZero:Exploiting Motion Priors for Zero-shot Text-to-Video Generation
- Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
- Outfit Completion via Conditional Set Transformation
- Symmetry-regularized neural ordinary differential equations
- Gaussian Processes for Monitoring Air-Quality in Kampala
- Visual Semantic Navigation with Real Robots
- Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD)
- On the Long Range Abilities of Transformers
- Cross-level Attention with Overlapped Windows for Camouflaged Object Detection
- Adversarial Distribution Balancing for Counterfactual Reasoning
- A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
- Filter-Pruning of Lightweight Face Detectors Using a Geometric Median Criterion
- Eigenmatrix for unstructured sparse recovery
- LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
- LC4SV: A Denoising Framework Learning to Compensate for Unseen Speaker Verification Models
- GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering
- D4AM: A General Denoising Framework for Downstream Acoustic Models
- Monitor Placement for Fault Localization in Deep Neural Network Accelerators
- Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture
- HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization
- Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation
- GeoScaler: Geometry and Rendering-Aware Downsampling of 3D Mesh Textures
- Clean Label Disentangling for Medical Image Segmentation with Noisy Labels
- Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions
- Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model
- Scalable Label Distribution Learning for Multi-Label Classification
- HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors
- Multi-Irreducible Spectral Synchronization for Robust Rotation Averaging
- Communication Efficiency Optimization of Federated Learning for Computing and Network Convergence of 6G Networks
- Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
- Contrastive encoder pre-training-based clustered federated learning for heterogeneous data
- Graph Prompt Learning: A Comprehensive Survey and Beyond
- Utility Fairness in Contextual Dynamic Pricing with Demand Learning
- On robust overfitting: adversarial training induced distribution matters
- 3D Teeth Reconstruction from Panoramic Radiographs using Neural Implicit Functions
- Dynamic Fault Characteristics Evaluation in Power Grid
- Value Approximation for Two-Player General-Sum Differential Games with State Constraints
- B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions
- StyleCap: Automatic Speaking-Style Captioning from Speech Based on Speech and Language Self-supervised Learning Models
- Rethinking Directional Integration in Neural Radiance Fields
- Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement
- On the Robustness of Decision-Focused Learning
- A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis
- AvatarGPT: All-in-One Framework for Motion Understanding, Planning, Generation and Beyond
- The Adoption and Efficacy of Large Language Models: Evidence From Consumer Complaints in the Financial Industry
- Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
- Viewport Prediction for Volumetric Video Streaming by Exploring Video Saliency and Trajectory Information
- On the Effect of Defections in Federated Learning and How to Prevent Them
- Spiking Neural Networks with Dynamic Time Steps for Vision Transformers
- Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
- Typhoon Intensity Prediction with Vision Transformer
- Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
- Centre Stage: Centricity-based Audio-Visual Temporal Action Detection
- Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos
- Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization
- Text-Driven Image Editing via Learnable Regions
- CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models
- Model-free Test Time Adaptation for Out-Of-Distribution Detection
- A Combinatorial Approach to Robust PCA
- Reduced-order modeling for parameterized PDEs via implicit neural representations
- Multi-defender Security Games with Schedules
- Deep Learning for Time Series Classification of Parkinson's Disease Eye Tracking Data