Papers
Fri 29 Nov 2024
237 papers
- Pretrained Reversible Generation as Unsupervised Visual Representation LearningDiffusion models → Diffusion foundations and sampling
- Assessing How Ride-hailing Rebalancing Strategies Improve the Resilience of Multi-modal Transportation SystemsDeep reinforcement learning methods → RL for energy, networks and operations
- One-Shot Real-to-Sim via End-to-End Differentiable Simulation and RenderingWorld models → Embodied and robot world models
- Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language ModelMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty EstimationDiffusion models → Diffusion foundations and sampling
- LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene RelightingDiffusion models → 3D, point cloud and scene generation
- STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-TrainingLLM reasoning → Multimodal reasoning +1
- VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion ModelsDiffusion models → Inverse problems and image restoration
- ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and TrustworthinessLLM reasoning → Multimodal reasoning
- Sparrow: Data-Efficient Video-LLM with Text-to-Image AugmentationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning CapabilityLLM reasoning → Test-time compute and efficient thinking
- VLSBench: Unveiling Visual Leakage in Multimodal SafetyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- On Domain-Adaptive Post-Training for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SIMS: Simulating Stylized Human-Scene Interactions with Retrieval-Augmented Script GenerationRetrieval-augmented generation → Multimodal RAG
- LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM statesLLM safety and security → Membership inference attacks
- Reverse Thinking Makes LLMs Stronger ReasonersLLM reasoning → Test-time compute and efficient thinking
- Q-learning-based Model-free Safety FilterDeep reinforcement learning methods → Safe and constrained RL
- Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectivesDeep reinforcement learning methods → RL training of language and agent models
- MoTe: Learning Motion-Text Diffusion Model for Multiple Generation TasksDiffusion models → Video generation
- Improving generalization of robot locomotion policies via Sharpness-Aware Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- JetFormer: An Autoregressive Generative Model of Raw Images and TextMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA TasksMultimodal LLMs / vision-language models → Medical vision-language models
- Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and EditingDiffusion models → Image generation, text-to-image and editing
- CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic ManipulationVision-language-action models → Generalist VLA models and benchmarks
- LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic ClassificationKnowledge distillation → Knowledge distillation for LLMs
- Synthetic Social Media Influence Experimentation via an Agentic Reinforcement Learning Large Language Model BotLLM agents and tool use → Social simulation and multi-agent debate
- Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical FindingsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Can Large Language Models Reason about the Region Connection Calculus?LLM reasoning → Spatial and embodied reasoning
- Solving Rubik's Cube Without Tricky SamplingDeep reinforcement learning methods → Deep RL algorithms and representations
- Ensemble Watermarks for Large Language ModelsLLM safety and security → Watermarking generated content and models
- ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online RestorationWorld models → World models for autonomous driving +1
- Training Agents with Weakly Supervised Feedback from Large Language ModelsLLM agents and tool use → Reinforcement learning for LLM agents
- Knowledge Management for Automobile Failure Analysis Using Graph RAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Quantized Delta Weight Is Safety KeeperLLM safety and security → Jailbreaking
- DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow DecodingDiffusion models → Video generation
- Ditto: Motion-Space Diffusion for Controllable Realtime Talking Head SynthesisDiffusion models → Audio, speech and music
- COLD: Causal reasOning in cLosed Daily activitiesLLM reasoning → Causal reasoning in LLMs
- SANGO: Socially Aware Navigation through Grouped ObstaclesDeep reinforcement learning methods → RL for robot navigation and UAV control
- Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based ApproachDiffusion models → Diffusion and flow policies for robotics
- Interleaved-Modal Chain-of-ThoughtLLM reasoning → Multimodal reasoning
- V2SFlow: Video-to-Speech Generation with Speech Decomposition and Rectified FlowDiffusion models → Audio, speech and music
- Zero-Indexing Internet Search Augmented Generation for Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- Provable Scaling Laws for the Test-Time Compute of Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation DetectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- Look Every Frame All at Once: Video-Ma2mba for Efficient Long-form Video Understanding with Multi-Axis Gradient CheckpointingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network TrainingDeep reinforcement learning methods → Spiking and neuromorphic RL
- Proto Successor Measure: Representing the Behavior Space of an RL AgentDeep reinforcement learning methods → Deep RL algorithms and representations
- Responsible AI Governance: A Response to UN Interim Report on Governing AI for Humanity
- Generative AI Literacy: Twelve Defining Competencies
- AI-assisted summary of suicide risk Formulation
- The AI Interface: Designing for the Ideal Machine-Human Experience (Editorial)
- BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching
- Streamlining Video Analysis for Efficient Violence Detection
- Volumetric Reconstruction of Prostatectomy Specimens from Histology
- Data Augmentation through Background Removal for Apple Leaf Disease Classification Using the MobileNetV2 Model
- Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning
- Streamlining the review process: AI-generated annotations in research manuscripts
- Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression
- Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation
- Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
- Excretion Detection in Pigsties Using Convolutional and Transformerbased Deep Neural Networks
- Fine-Tuning Open-Weight Language Models to Deliver Cognitive Behavioral Therapy for Depression: A Feasibility Study
- Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
- Robust Testing for Deep Learning using Human Label Noise
- Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction
- MEGA: Message Passing Neural Networks for Multigraphs with EdGe Attributes
- Generating a Low-code Complete Workflow via Task Decomposition and RAG
- Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification
- Hybrid Spiking Neural Network -- Transformer Video Classification Model
- Clinical Document Corpora -- Real Ones, Translated and Synthetic Substitutes, and Assorted Domain Proxies: A Survey of Diversity in Corpus Design, with Focus on German Text Data
- Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks
- An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement
- NushuRescue: Revitalization of the Endangered Nushu Language with AI
- Digital Twin in Industries: A Comprehensive Survey
- Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction
- Towards the Ultimate Programming Language: Trust and Benevolence in the Age of Artificial Intelligence
- Scaling of Stochastic Normalizing Flows in SU(3) lattice gauge theory
- Improving the performance of weak supervision searches using data augmentation
- Opt-In Art: Learning Art Styles Only from Few Examples
- Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning
- SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters
- Enhanced Spatial Clustering of Single-Molecule Localizations with Graph Neural Networks
- RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World
- Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective
- To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models
- Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data
- Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections
- AerialGo: Walking-through City View Generation from Aerial Perspectives
- T-3DGS: Removing Transient Objects for 3D Scene Reconstruction
- o1-Coder: an o1 Replication for Coding
- Dynamic Neural Curiosity Enhances Learning Flexibility for Autonomous Goal Discovery
- Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
- Motion Modes: What Could Happen Next?
- AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos
- DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
All 237
- FreeCloth: Free-form Generation Enhances Challenging Clothed Human Modeling
- Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark
- Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
- Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders
- Dynamic EEG-fMRI mapping: Revealing the relationship between brain connectivity and cognitive state
- Geometry of fibers of the multiplication map of deep linear neural networks
- Handling irresolvable conflicts in the Semantic Web: an RDF-based conflict-tolerant version of the Deontic Traditional Scheme
- Quantifying the synthetic and real domain gap in aerial scene understanding
- Another look at statistical inference with machine learning-imputed data
- A Graph-Based Classical and Quantum Approach to Deterministic L-System Inference
- Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives
- Noncommutative Model Selection for Data Clustering and Dimension Reduction Using Relative von Neumann Entropy
- Efficient quantum-enhanced classical simulation for patches of quantum landscapes
- GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting
- Noncommutative Model Selection and the Data-Driven Estimation of Real Cohomology Groups
- FlowCLAS: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation
- PDDLFuse: A Tool for Generating Diverse Planning Domains
- Open source Differentiable ODE Solving Infrastructure
- Enhanced anomaly detection in well log data through the application of ensemble GANs
- DeMo: Decoupled Momentum Optimization
- AIDetx: a compression-based method for identification of machine-learning generated text
- SpaRC: Sparse Radar-Camera Fusion for 3D Object Detection
- What fifty-one years of Linguistics and Artificial Intelligence research tell us about their correlation: A scientometric analysis
- Artificial intelligence contribution to translation industry: looking back and forward
- Towards Class-wise Robustness Analysis
- A Visual-inertial Localization Algorithm using Opportunistic Visual Beacons and Dead-Reckoning for GNSS-Denied Large-scale Applications
- Scaling Transformers for Low-Bitrate High-Quality Speech Coding
- Feedback-driven object detection and iterative model improvement
- Sensitive Content Classification in Social Media: A Holistic Resource and Evaluation
- SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens
- SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition
- GradAlign for Training-free Model Performance Inference
- Gaussian multi-target filtering with target dynamics driven by a stochastic differential equation
- Zero-shot Musical Stem Retrieval with Joint-Embedding Predictive Architectures
- INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
- Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data
- Tractable Agreement Protocols
- Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets
- PerLA: Perceptive 3D Language Assistant
- LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long Videos
- Noro: Noise-Robust One-shot Voice Conversion with Hidden Speaker Representation Learning
- Riemannian Denoising Model for Molecular Structure Optimization with Chemical Accuracy
- Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks
- Forecasting Foreign Exchange Market Prices Using Technical Indicators with Deep Learning and Attention Mechanism
- LaVIDE: Language-Prompted Satellite Change Detection via Map-Image Alignment
- Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
- DeSplat: Decomposed Gaussian Splatting for Distractor-Free Rendering
- A Comprehensive Content Verification System for ensuring Digital Integrity in the Age of Deep Fakes
- A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency Losses
- HVAC-DPT: A Decision Pretrained Transformer for HVAC Control
- Amplifying human performance in combinatorial competitive programming
- Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
- A Note on Small Percolating Sets on Hypercubes via Generative AI
- A Deep Learning Approach to Language-independent Gender Prediction on Twitter
- Real-Time Anomaly Detection in Video Streams
- Risk-Averse Certification of Bayesian Neural Networks
- Towards Santali Linguistic Inclusion: Building the First Santali-to-English Translation Model using mT5 Transformer and Data Augmentation
- Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization
- TakeLab Retriever: AI-Driven Search Engine for Articles from Croatian News Outlets
- MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications
- Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection
- The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications
- CantorNet: A Sandbox for Testing Geometrical and Topological Complexity Measures
- Fast Mutual Information Computation for Large Binary Datasets
- Multi-Depth Concept Extraction for Post-Hoc Vision Encoder Explanation
- Gated-Attention Feature-Fusion Based Framework for Poverty Prediction
- MIMDE: Exploring the Use of Synthetic vs Human Data for Evaluating Multi-Insight Multi-Document Extraction Tasks
- Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation
- On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
- ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information
- Multimodal Whole Slide Foundation Model for Pathology
- Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasis
- TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
- Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal
- CAdam: Confidence-Based Optimization for Online Learning
- Learned Random Label Predictions as a Neural Network Complexity Metric
- PACMANN: Point Adaptive Collocation Method for Artificial Neural Networks
- Non-linear Equalization in 112 Gb/s PONs Using Kolmogorov-Arnold Networks
- OpenQDC: Open Quantum Data Commons
- GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
- FairDD: Fair Dataset Distillation
- Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations
- Tortho-Gaussian: Splatting True Digital Orthophoto Maps
- Self-Supervised Denoiser Framework
- Gaussian Splashing: Direct Volumetric Rendering Underwater
- LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention
- Enhancing Sentiment Analysis in Bengali Texts: A Hybrid Approach Using Lexicon-Based Algorithm and Pretrained Language Model Bangla-BERT
- In-Context Learning with Noisy Labels
- ICPR 2024 Competition on Multilingual Claim-Span Identification
- KV Shifting Attention Enhances Language Modeling
- A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net
- Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
- Differentiable Causal Discovery For Latent Hierarchical Causal Models
- Unimib Assistant: designing a student-friendly RAG-based chatbot for all their needs
- Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
- Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
- Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising
- SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders
- Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
- Development of Low-Cost IoT Units for Thermal Comfort Measurement and AC Energy Consumption Prediction System
- QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain
- RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation
- A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation
- LokiTalk: Learning Fine-Grained and Generalizable Correspondences to Enhance NeRF-based Talking Head Synthesis
- Localized Conformal Multi-Quantile Regression
- Subjective and Objective Quality Assessment Methods of Stereoscopic Videos with Visibility Affecting Distortions
- RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
- Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability
- ContextGNN: Beyond Two-Tower Recommendation Systems
- Topology-Preserving Scaling in Data Augmentation
- Retrieval-guided Cross-view Image Synthesis
- GEFM: Graph-Enhanced EEG Foundation Model
- Real-time Anomaly Detection at the L1 Trigger of CMS Experiment
- TQA-Bench: Evaluating LLMs for Multi-Table Question Answering
- Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification
- Protecting Multiple Types of Privacy Simultaneously in EEG-based Brain-Computer Interfaces
- An Approach Towards Learning K-means-friendly Deep Latent Representation
- Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modeling
- Action Engine: Automatic Workflow Generation in FaaS
- FLARE: Toward Universal Dataset Purification against Backdoor Attacks
- GalaxAlign: Mimicking Citizen Scientists' Multimodal Guidance for Galaxy Morphology Analysis
- Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB
- Learning Expressive Random Feature Models via Parametrized Activations
- Robust Bayesian Scene Reconstruction with Retrieval-Augmented Priors for Precise Grasping and Planning
- Fleximo: Towards Flexible Text-to-Human Motion Video Generation
- Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning
- Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection
- Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension Ability
- Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
- GausSurf: Geometry-Guided 3D Gaussian Splatting for Surface Reconstruction
- Learning Visual Abstract Reasoning through Dual-Stream Networks
- Unsupervised Learning Approach to Anomaly Detection in Gravitational Wave Data
- Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine
- MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
- Gradient Inversion Attack on Graph Neural Networks
- Actions and Objects Pathways for Domain Adaptation in Video Question Answering
- A Simple Sparse Matrix Vector Multiplication Approach to Padded Convolution