Papers
Mon 11 Dec 2023
301 papers
- Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style TransferDiffusion models → Image generation, text-to-image and editing
- Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance ScaleDiffusion models → Diffusion foundations and sampling
- Relightful Harmonization: Lighting-aware Portrait Background ReplacementDiffusion models → 3D, point cloud and scene generation
- Get an A in Math: Progressive Rectification PromptingLLM reasoning → Prompting and chain-of-thought reasoning
- Honeybee: Locality-enhanced Projector for Multimodal LLMMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Genixer: Empowering Multimodal Large Language Models as a Powerful Data GeneratorMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Filter & Align: Leveraging Human Knowledge to Curate Image-Text DataMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained DiffusionDiffusion models → 3D, point cloud and scene generation
- EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level PlanningLLM reasoning → Spatial and embodied reasoning +1
- Understanding Physical Dynamics with Counterfactual World ModelingWorld models → Latent predictive world models
- Audio-Visual LLM for Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- CAD: Photorealistic 3D Generation via Adversarial DistillationDiffusion models → 3D, point cloud and scene generation
- Photorealistic Video Generation with Diffusion ModelsDiffusion models → Video generation
- Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D PriorDiffusion models → 3D, point cloud and scene generation
- AnyHome: Open-Vocabulary Generation of Structured and Textured 3D HomesWorld models → Video-generation world models and simulators
- Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- Gated Linear Attention Transformers with Hardware-Efficient TrainingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Controlling risks of AI in chemical science with agentsLLM agents and tool use → Web, search, and research agents +1
- DiAD: A Diffusion-based Framework for Multi-class Anomaly DetectionDiffusion models → Flow matching, time series and science
- Beyond Human Data: Scaling Self-Training for Problem-Solving with Language ModelsSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control SystemsDiffusion models → Image generation, text-to-image and editing
- HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion ModelsDiffusion models → Video generation
- Performance-lossless Black-box Model WatermarkingLLM safety and security → Watermarking generated content and models
- Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease PhenotypingRetrieval-augmented generation → Medical and biomedical RAG
- Semantic Image Synthesis for Abdominal CTDiffusion models → Medical imaging and segmentation
- DreamControl: Control-Based Text-to-3D Generation with 3D Self-PriorDiffusion models → 3D, point cloud and scene generation
- Compound Text-Guided Prompt Tuning via Image-Adaptive CuesMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DiT-Head: High-Resolution Talking Head Synthesis using Diffusion TransformersDiffusion models → Audio, speech and music
- PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved PersonalizationDiffusion models → Image generation, text-to-image and editing
- NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup AnnotationsEnd-to-end autonomous driving → VLMs for autonomous driving
- Evaluation of Large Language Models for Decision Making in Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
- DiffAIL: Diffusion Adversarial Imitation LearningDiffusion models → Diffusion and flow policies for robotics +1
- Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Compensation Sampling for Improved Convergence in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- UIEDP:Underwater Image Enhancement with Diffusion PriorDiffusion models → Inverse problems and image restoration
- Medical Vision Language Pretraining: A surveyMultimodal LLMs / vision-language models → Medical vision-language models
- Structured state-space models are deep Wiener modelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- The Journey, Not the Destination: How Data Guides Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Optimized View and Geometry Distillation from Multi-view DiffuserDiffusion models → 3D, point cloud and scene generation
- SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction Based on Multi-Scale Fusion of Anatomical Structures, Guided by SwinTransformer and ProjectorDiffusion models → Medical imaging and segmentation
- ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt BankDiffusion models → Image generation, text-to-image and editing
- MAFA: Managing False Negatives for Vision-Language Pre-trainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Vary: Scaling up the Vision Vocabulary for Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Precipitation Downscaling with Spatiotemporal Video DiffusionDiffusion models → Flow matching, time series and science
- PCRDiffusion: Diffusion Probabilistic Models for Point Cloud RegistrationDiffusion models → 3D, point cloud and scene generation
- CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
- MLCommons Cloud Masking Benchmark with Early Stopping
- Creating Visual Effects with Neural Radiance Fields
- WISE: full-Waveform variational Inference via Subsurface Extensions
- U-SWIM: Universal Selective Write-Verify for Computing-in-Memory Neural Accelerators
- Neuromorphic Co-Design as a Game
- Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
- User Modeling in the Era of Large Language Models: Current Research and Future Directions
- Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making
- The Limits of Fair Medical Imaging AI In The Wild
- Finding Paths for Explainable MOOC Recommendation: A Learner Perspective
- VoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data
- Improving age prediction: Utilizing LSTM-based dynamic forecasting for data augmentation in multivariate time series analysis
- An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
- Spatiotemporal Event Graphs for Dynamic Scene Understanding
- Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings
- IndoorGNN: A Graph Neural Network based approach for Indoor Localization using WiFi RSSI
- Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario
- Sense, Predict, Adapt, Repeat: A Blueprint for Design of New Adaptive AI-Centric Sensing Systems
- Non-contact Multimodal Indoor Human Monitoring Systems: A Survey
- Contrastive News and Social Media Linking using BERT for Articles and Tweets across Dual Platforms
- Evaluating ChatGPT as a Question Answering System: A Comprehensive Analysis and Comparison with Existing Models
- ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
- DFGET: Displacement-Field Assisted Graph Energy Transmitter for Gland Instance Segmentation
- Classification with Partially Private Features
- VitalLens: Take A Vital Selfie
- Understanding and Leveraging the Learning Phases of Neural Networks
- DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers
- A Novel Differentiable Loss Function for Unsupervised Graph Neural Networks in Graph Partitioning
- Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks
- Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting
- ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment
- Using Analytics on Student Created Data to Content Validate Pedagogical Tools
- Adversarial Estimation of Topological Dimension with Harmonic Score Maps
- RAFIC: Retrieval-Augmented Few-shot Image Classification
- Keypoint-based Stereophotoclinometry for Characterizing and Navigating Small Bodies: A Factor Graph Approach
- Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates
- Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning
- Multimodal Pretraining of Medical Time Series and Notes
- Self-supervised Machine Learning Based Approach to Orbit Modelling Applied to Space Traffic Management
- LLF-Bench: Benchmark for Interactive Learning from Language Feedback
- NDELS: A Novel Approach for Nighttime Dehazing, Low-Light Enhancement, and Light Suppression
- Spectral State Space Models
- The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries
- Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning
- Resetting a fixed broken ELBO
- User Friendly and Adaptable Discriminative AI: Using the Lessons from the Success of LLMs and Image Generation Models
- Utilization of Non-verbal Behaviour and Social Gaze in Classroom Human-Robot Interaction Communications
- Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
- System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models
- ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments
- Weakly Supervised Point Cloud Segmentation via Conservative Propagation of Scene-level Labels
- Improving the Robustness of 3D Human Pose Estimation: A Benchmark and Learning from Noisy Input
All 301
- Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks
- Learning Polynomial Representations of Physical Objects with Application to Certifying Correct Packing Configurations
- Mixture-of-Linear-Experts for Long-term Time Series Forecasting
- Gaussian Splatting SLAM
- MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
- InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following
- SqueezeSAM: User friendly mobile interactive segmentation
- DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
- TULIP: Transformer for Upsampling of LiDAR Point Clouds
- RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
- A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection
- A method for recovery of multidimensional time series based on the detection of behavioral patterns and the use of autoencoders
- Learning to See Low-Light Images via Feature Domain Adaptation
- SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
- Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
- Privacy Issues in Large Language Models: A Survey
- Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
- UpFusion: Novel View Diffusion from Unposed Sparse View Observations
- EdgeSAM: Prompt-In-the-Loop Distillation for SAM
- Mean estimation in the add-remove model of differential privacy
- Learning Naturally Aggregated Appearance for Efficient 3D Editing
- LightSim: Neural Lighting Simulation for Urban Scenes
- Adaptive Human Trajectory Prediction via Latent Corridors
- Building Domain-Specific LLMs Faithful To The Islamic Worldview: Mirage or Technical Possibility?
- Dense X Retrieval: What Retrieval Granularity Should We Use?
- 4M: Massively Multimodal Masked Modeling
- Computational Copyright: Towards A Royalty Model for Music Generative AI
- Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection
- Gaze Detection and Analysis for Initiating Joint Activity in Industrial Human-Robot Collaboration
- CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
- Online Decision Making with History-Average Dependent Costs (Extended)
- Harmonic Mobile Manipulation
- SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models
- Examining the Effect of Implementation Factors on Deep Learning Reproducibility
- TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
- AttenScribble: Attentive Similarity Learning for Scribble-Supervised Medical Image Segmentation
- Neural Text to Articulate Talk: Deep Text to Audiovisual Speech Synthesis achieving both Auditory and Photo-realism
- Information theory for dimensionality reduction in dynamical systems
- Early Action Recognition with Action Prototypes
- Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops
- Flexible visual prompts for in-context learning in computer vision
- Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights
- QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection
- 3D Hand Pose Estimation in Everyday Egocentric Images
- Grokking Group Multiplication with Cosets
- Amazon Locker Capacity Management
- Multi-class Support Vector Machine with Maximizing Minimum Margin
- HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings
- EasyVolcap: Accelerating Neural Volumetric Video Research
- Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets
- Promoting Counterfactual Robustness through Diversity
- On Meta-Prompting
- Inferring Hybrid Neural Fluid Fields from Videos
- Automatic Regularization for Linear MMSE Filters
- Robust Graph Neural Network based on Graph Denoising
- LLM360: Towards Fully Transparent Open-Source LLMs
- KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows
- Unsupervised KPIs-Based Clustering of Jobs in HPC Data Centers
- Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity
- KPIs-Based Clustering and Visualization of HPC jobs: a Feature Reduction Approach
- Uncertainty quantification in automated valuation models with spatially weighted conformal prediction
- Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context
- Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models
- Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification
- A GAN Approach for Node Embedding in Heterogeneous Graphs Using Subgraph Sampling
- Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills
- Where exactly does contextualization in a PLM happen?
- Asynchronous Distributed Optimization with Delay-free Parameters
- Grounded Question-Answering in Long Egocentric Videos
- TaCo: Targeted Concept Erasure Prevents Non-Linear Classifiers From Detecting Protected Attributes
- Detecting Events in Crowds Through Changes in Geometrical Dimensions of Pedestrians
- Automated Planning Techniques for Elementary Proofs in Abstract Algebra
- STDiff: Spatio-temporal Diffusion for Continuous Stochastic Video Prediction
- Prediction De-Correlated Inference: A safe approach for post-prediction inference
- Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation
- Aligning brain functions boosts the decoding of visual semantics in novel subjects
- Cooperation Does Matter: Exploring Multi-Order Bilateral Relations for Audio-Visual Segmentation
- Variational Auto-Encoder Based Deep Learning Technique For Filling Gaps in Reacting PIV Data
- ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation
- Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
- Measurement-driven neural-network training for integrated magnetic tunnel junction arrays
- Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
- Towards A Flexible Accuracy-Oriented Deep Learning Module Inference Latency Prediction Framework for Adaptive Optimization Algorithms
- Reward Certification for Policy Smoothed Reinforcement Learning
- Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0
- VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network
- MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
- Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
- LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation
- DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
- Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing
- RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
- NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos
- ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
- UstanceBR: a social media language resource for stance prediction
- Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
- BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving
- MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples
- Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
- FOSS: A Self-Learned Doctor for Query Optimizer
- Linguistic and Structural Basis of Engineering Design Knowledge
- Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
- RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations
- Detecting Contextual Network Anomalies with Graph Neural Networks
- BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation
- Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations
- Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference
- Semantic Connectivity-Driven Pseudo-labeling for Cross-domain Segmentation
- Navigating Open Set Scenarios for Skeleton-based Action Recognition
- TPRNN: A Top-Down Pyramidal Recurrent Neural Network for Time Series Forecasting
- SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
- GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models
- DMS*: Minimizing Makespan for Multi-Agent Combinatorial Path Finding
- An unsupervised learning approach to evaluate questionnaire data -- what one can learn from violations of measurement invariance
- Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving
- A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoML
- RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning
- Progressive Multi-Modality Learning for Inverse Protein Folding
- Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection
- Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach
- Exploiting Label Skews in Federated Learning with Model Concatenation
- Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning
- EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models
- Adaptive Compression of the Latent Space in Variational Autoencoders
- Regional Correlation Aided Mobile Traffic Prediction with Spatiotemporal Deep Learning
- DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation
- Regroup Median Loss for Combating Label Noise
- U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient Semantic Segmentation
- Creating Spoken Dialog Systems in Ultra-Low Resourced Settings
- Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems
- Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
- No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning
- Neural Autoencoder-Based Structure-Preserving Model Order Reduction and Control Design for High-Dimensional Physical Systems
- Ensemble Interpretation: A Unified Method for Interpretable Machine Learning
- Modyn: Data-Centric Machine Learning Pipeline Orchestration
- Team-related Features in Code Review Prediction Models
- Improving Startup Success with Text Analysis
- Uncovering communities of pipelines in the task-fMRI analytical space
- Tackling Cyberattacks through AI-based Reactive Systems: A Holistic Review and Future Vision
- Invariant Representation via Decoupling Style and Spurious Features from Images
- CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
- CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting
- Interpretable Long Term Waypoint-Based Trajectory Prediction Model
- Offloading and Quality Control for AI Generated Content Services in 6G Mobile Edge Computing Networks
- Towards Transferable Adversarial Attacks with Centralized Perturbation
- DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing
- NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation
- From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
- KnowGPT: Knowledge Graph based Prompting for Large Language Models
- Recent Advances in Deterministic Human Motion Prediction: A Review
- Why "classic" Transformers are shallow and how to make them go deep
- Dynamic Weighted Combiner for Mixed-Modal Image Retrieval
- Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems
- Improvement in Variational Quantum Algorithms by Measurement Simplification
- Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion
- Decoupling SQL Query Hardness Parsing for Text-to-SQL
- Joint Explicit and Implicit Cross-Modal Interaction Network for Anterior Chamber Inflammation Diagnosis
- Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions
- ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure Reconstruction
- Adversarial Camera Patch: An Effective and Robust Physical-World Attack on Object Detectors
- Textual Prompt Guided Image Restoration
- Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
- Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments
- Improving the performance of weak supervision searches using transfer and meta-learning
- Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
- "What's important here?": Opportunities and Challenges of Using LLMs in Retrieving Information from Web Interfaces
- Proxy-based Item Representation for Attribute and Context-aware Recommendation
- Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications
- Compute-in-Memory based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections
- BACTrack: Building Appearance Collection for Aerial Tracking
- Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
- Spreeze: High-Throughput Parallel Reinforcement Learning Framework
- GTA: Gated Toxicity Avoidance for LM Performance Preservation
- Can LLMs Configure Software Tools
- ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective Learning
- M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
- Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods
- SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline
- AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
- Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution
- Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need
- MATK: The Meme Analytical Tool Kit
- PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models
- Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
- TabMT: Generating tabular data with masked transformers
- SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification
- Complex-valued Neural Networks -- Theory and Analysis
- SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images
- XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications
- An Ambiguity Measure for Recognizing the Unknowns in Deep Learning
- Oracle Character Recognition using Unsupervised Discriminative Consistency Network
- A Vision for Operationalising Diversity and Inclusion in AI
- A dynamic interactive learning framework for automated 3D medical image segmentation
- Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
- Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks
- METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities
- IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions
- MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation
- Federated Multilinear Principal Component Analysis with Applications in Prognostics
- SSPNet: Scale and Spatial Priors Guided Generalizable and Interpretable Pedestrian Attribute Recognition
- Nuvo: Neural UV Mapping for Unruly 3D Representations