Papers
Fri 22 Dec 2023
227 papers
- Voila-A: Aligning Vision-Language Models with User's Gaze AttentionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Empowering Working Memory for Large Language Model AgentsLLM agents and tool use → Agent memory systems
- Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- GroundVLP: Harnessing Zero-shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object DetectionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Towards a Unified Multimodal Reasoning FrameworkLLM reasoning → Multimodal reasoning
- Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative CasesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Assessing the Impact of Prompting Methods on ChatGPT's Mathematical CapabilitiesLLM reasoning → Mathematical reasoning
- FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and EditingDiffusion models → Video generation
- FoodLMM: A Versatile Food Assistant using Large Multi-modal ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Emage: Non-Autoregressive Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- A Survey of Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Fast-NTK: Parameter-Efficient Unlearning for Large-Scale ModelsLLM safety and security → Machine unlearning
- FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative ModelsLLM safety and security → Vision-language and text-to-image safety
- NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity ClassesLLM reasoning → Reasoning benchmarks and evaluation
- Pangu-Agent: A Fine-Tunable Generalist Agent with Structured ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Numerical Reasoning for Financial ReportsLLM reasoning → Reasoning for agents, planning and code
- Dreaming of Electrical Waves: Generative Modeling of Cardiac Excitation Waves using Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Harnessing Diffusion Models for Visual Perception with Meta PromptsDiffusion models → Image generation, text-to-image and editing
- Tuning-Free Inversion-Enhanced Control for Consistent Image EditingDiffusion models → Image generation, text-to-image and editing
- Reasons to Reject? Aligning Language Models with JudgmentsLLM reasoning → Reinforcement learning for reasoning +1
- Non-Denoising Forward-Time DiffusionsDiffusion models → Diffusion foundations and sampling
- Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-TuningMixture-of-experts → MoE large language models
- Revisiting Few-Shot Object Detection with Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- QUAR-VLA: Vision-Language-Action Model for Quadruped RobotsVision-language-action models → Generalist VLA models and benchmarks
- Asymmetric Bias in Text-to-Image Generation with Adversarial AttacksLLM safety and security → Vision-language and text-to-image safety
- REBEL: Reward Regularization-Based Approach for Robotic Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Predicting Confinement Effect of Carbon Fiber Reinforced Polymers on Strength of Concrete using Metaheuristics-based Artificial Neural Networks
- The Global Impact of AI-Artificial Intelligence: Recent Advances and Future Directions, A Review
- Learning with Geometry: Including Riemannian Geometric Features in Coefficient of Pressure Prediction on Aircraft Wings
- Diffusion-Driven Generative Framework for Molecular Conformation Prediction
- Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative
- Tumbug: A pictorial, universal knowledge representation method
- A debiasing technique for place-based algorithmic patrol management
- Trustworthy human-centric based Automated Decision-Making Systems
- Future-proofing Education: A Prototype for Simulating Oral Examinations Using Large Language Models
- FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
- Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations
- Resource-Limited Automated Ki67 Index Estimation in Breast Cancer
- Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing
- TimePillars: Temporally-Recurrent 3D LiDAR Object Detection
- Flying By ML -- CNN Inversion of Affine Transforms
- Personalized Large Language Model Assistant with Evolving Conditional Memory
- A Method for Auto-Differentiation of the Voronoi Tessellation
- SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning
- EGAIN: Extended GAn INversion
- Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota
- UAS-based Automated Structural Inspection Path Planning via Visual Data Analytics and Optimization
- Generative AI and the History of Architecture
- Energy-based learning algorithms for analog computing: a comparative study
- Robust Sclera Segmentation for Skin-tone Agnostic Face Image Quality Assessment
- FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions
- Unsupervised Auditory and Semantic Entrainment Models with Deep Neural Networks
- Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report)
- A Note on Stability in Asynchronous Stochastic Approximation without Communication Delays
- Adaptive Domain Inference Attack with Concept Hierarchy
- HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
- Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning
- Learning Rich Rankings
- Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection
- Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment
- A universal approximation theorem for nonlinear resistive networks
- Deformable 3D Gaussian Splatting for Animatable Human Avatars
- The State of Documentation Practices of Third-party Machine Learning Models and Datasets
- Deep Learning for Efficient GWAS Feature Selection
- Information-seeking polynomial NARX model-predictive control through expected free energy minimization
- Probabilistic Modeling for Sequences of Sets in Continuous-Time
- Towards Detecting Cascades of Biased Medical Claims on Twitter
- Latents2Semantics: Leveraging the Latent Space of Generative Models for Localized Style Manipulation of Face Images
- SODA: Protecting Proprietary Information in On-Device Machine Learning Models
- Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention
- Federated Q-Learning: Linear Regret Speedup with Low Communication Cost
- SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
- C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
- Discovering modular solutions that generalize compositionally
- Leveraging Habitat Information for Fine-grained Bird Identification
- Synthetic images aid the recognition of human-made art forgeries
- Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review
- Learning to Prompt Knowledge Transfer for Open-World Continual Learning
- Deformable Image Registration with Stochastically Regularized Biomechanical Equilibrium
- UniHuman: A Unified Model for Editing Human Images in the Wild
- TPTNet: A Data-Driven Temperature Prediction Model Based on Turbulent Potential Temperature
- MACS: Mass Conditioned 3D Hand and Object Motion Synthesis
- Training Convolutional Neural Networks with the Forward-Forward algorithm
- Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks
- A New Similarity Function for Spectral Clustering with Application to Plant Phenotypic Data
- Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers
- PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF
- DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images
- On Rate-Optimal Partitioning Classification from Observable and from Privatised Data
- Sample Path Regularity of Gaussian Processes from the Covariance Kernel
- Sampling and estimation on manifolds using the Langevin diffusion
- SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting
- Robust Knowledge Extraction from Large Language Models using Social Choice Theory
- Automating the Design of Multigrid Methods with Evolutionary Program Synthesis
- BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction
- Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting
- VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
- YAYI 2: Multilingual Open-Source Large Language Models
- Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code
All 227
- TACO: Topics in Algorithmic COde generation dataset
- Isolated pulsar population synthesis with simulation-based inference
- Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant
- On the Use of Metaphor Translation in Psychiatry
- Learning Lagrangian Multipliers for the Travelling Salesman Problem
- Prototype-Guided Text-based Person Search based on Rich Chinese Descriptions
- Plan, Posture and Go: Towards Open-World Text-to-Motion Generation
- An investigation of belief-free DRL and MCTS for inspection and maintenance planning
- How Smooth Is Attention?
- PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders
- A Tricycle Model to Accurately Control an Autonomous Racecar with Locked Differential
- The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data
- Semantic Parsing for Complex Data Retrieval: Targeting Query Plans vs. SQL for No-Code Access to Relational Databases
- On support vector machines under a multiple-cost scenario
- An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
- The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs
- Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
- Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains
- Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines
- Large Language Model (LLM) Bias Index -- LLMBI
- Enhanced Latent Multi-view Subspace Clustering
- Diffusion Maps for Signal Filtering in Graph Learning
- Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models
- Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis
- Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar
- Images in Discrete Choice Modeling: Addressing Data Isomorphism in Multi-Modality Inputs
- Gerrymandering Planar Graphs
- Balancing Privacy, Robustness, and Efficiency in Machine Learning
- Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising
- BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions
- SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation
- Time-changed normalizing flows for accurate SDE modeling
- Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization
- A Mathematical Guide to Operator Learning
- Engineered Ordinary Differential Equations as Classification Algorithm (EODECA): thorough characterization and testing
- MEAOD: Model Extraction Attack against Object Detectors
- Zero-shot Causal Graph Extrapolation from Text via LLMs
- Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
- Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints
- Deep Non-Parametric Time Series Forecaster
- SAVAE: Leveraging the variational Bayes autoencoder for survival analysis
- Global Occlusion-Aware Transformer for Robust Stereo Matching
- Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
- Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference
- Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning
- Fluid Simulation on Neural Flow Maps
- Mining multi-modal communication patterns in interaction with explainable and non-explainable robots
- A Language-based solution to enable Metaverse Retrieval
- Holistic analysis on the sustainability of Federated Learning across AI product lifecycle
- DSAP: Analyzing Bias Through Demographic Comparison of Datasets
- Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks
- Towards Loose-Fitting Garment Animation via Generative Model of Deformation Decomposition
- BLSTM-Based Confidence Estimation for End-to-End Speech Recognition
- Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps
- SIG: Speaker Identification in Literature via Prompt-Based Generation
- On a Near-Optimal & Efficient Algorithm for the Sparse Pooled Data Problem
- Synthesizing Environment-Specific People in Photographs
- PoseViNet: Distracted Driver Action Recognition Framework Using Multi-View Pose Estimation and Vision Transformer
- MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
- Semidefinite Relaxations of the Gromov-Wasserstein Distance
- Data is Moody: Discovering Data Modification Rules from Process Event Logs
- BSS-Bench: Towards Reproducible and Effective Band Selection Search
- Creating New Voices using Normalizing Flows
- Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
- Improving Task Instructions for Data Annotators: How Clear Rules and Higher Pay Increase Performance in Data Annotation in the AI Economy
- Online Covering with Multiple Experts
- CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
- Machine learning for structure-guided materials and process design
- Inclusive normalization of face images to passport format
- Automatic Data Retrieval for Cross Lingual Summarization
- Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning
- ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
- Multi-view user representation learning for user matching without personal information
- DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge
- ZodiacEdge: a Datalog Engine With Incremental Rule Set Maintenance
- An effective and efficient green federated learning method for one-layer neural networks
- Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
- Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport
- Theory of Hallucinations based on Equivariance
- ViStripformer: A Token-Efficient Transformer for Versatile Video Restoration
- Hutchinson Trace Estimation for High-Dimensional and High-Order Physics-Informed Neural Networks
- Context Enhanced Transformer for Single Image Object Detection
- Language Model is a Branch Predictor for Simultaneous Machine Translation
- SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation
- MetaAID 2.5: A Secure Framework for Developing Metaverse Applications via Large Language Models
- Federated Learning via Input-Output Collaborative Distillation
- MonoLSS: Learnable Sample Selection For Monocular 3D Detection
- Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
- Prototype-based Cross-Modal Object Tracking
- Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration
- FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection
- Attacking Byzantine Robust Aggregation in High Dimensions
- Multiagent Copilot Approach for Shared Autonomy between Human EEG and TD3 Deep Reinforcement Learning
- How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
- On the Effectiveness of Unlearning in Session-Based Recommendation
- Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset
- DMC4ML: Data Movement Complexity for Machine Learning
- PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation
- PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
- Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning
- A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing
- GROOD: GRadient-Aware Out-of-Distribution Detection
- Room Occupancy Prediction: Exploring the Power of Machine Learning and Temporal Insights
- Efficacy of Machine-Generated Instructions
- Enhancing Actionable Formal Concept Identification with Base-Equivalent Conceptual-Relevance
- Sharp error estimates for target measure diffusion maps with applications to the committor problem
- A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition
- AdvCloak: Customized Adversarial Cloak for Privacy Protection
- Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection
- Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits
- Cross-Covariate Gait Recognition: A Benchmark
- The Fairness Fair: Bringing Human Perception into Collective Decision-Making
- Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances
- Unsupervised Deep Learning Image Verification Method
- AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction
- StyleRetoucher: Generalized Portrait Image Retouching with GAN Priors
- Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation
- Generative AI Beyond LLMs: System Implications of Multi-Modal Generation
- Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal
- Federated Learning with Projected Trajectory Regularization
- Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification
- Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction
- Generative Models for Simulation of KamLAND-Zen
- Quality-Diversity Generative Sampling for Learning with Synthetic Data
- Training Neural Networks with Internal State, Unconstrained Connectivity, and Discrete Activations
- Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models
- Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs