Papers
Thu 28 Nov 2024
224 papers
- Supervised Learning-enhanced Multi-Group Actor Critic for Live Stream Allocation in FeedDeep reinforcement learning methods → RL training of language and agent models
- Challenges in Human-Agent CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- MAG-V: A Multi-Agent Framework for Synthetic Data Generation and VerificationLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- MPQ-Diff: Mixed Precision Quantization for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model FeaturesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Streamlined Federated Unlearning: Unite as One to Be Highly EfficientLLM safety and security → Federated unlearning and poisoning
- Efficient Learning Content Retrieval with Knowledge InjectionRetrieval-augmented generation → Agentic RAG, agents and memory
- Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific FeedbackDiffusion models → Image generation, text-to-image and editing
- SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World EnvironmentsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- AMO Sampler: Enhancing Text Rendering with OvershootingDiffusion models → Image generation, text-to-image and editing
- On the Role of Discrete Representation in Sparse Mixture of ExpertsMixture-of-experts → Vision mixture-of-experts
- Global Tensor Motion PlanningOffline RL and imitation learning from data → Robot learning from demonstration
- DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity ConstraintsDiffusion models → Image generation, text-to-image and editing
- Towards a Mechanistic Explanation of Diffusion Model GeneralizationDiffusion models → Diffusion foundations and sampling
- PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-TuningLLM safety and security → Federated unlearning and poisoning
- GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial TasksMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Trajectory Attention for Fine-grained Video Motion ControlDiffusion models → Video generation
- GRAPE: Generalizing Robot Policy via Preference AlignmentVision-language-action models → Reinforcement learning and post-training +1
- Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition AttentionDiffusion models → Image generation, text-to-image and editing
- Quantum feedback control with a transformer neural network architectureDeep reinforcement learning methods → Quantum reinforcement learning
- Gaussians-to-Life: Text-Driven Animation of 3D Gaussian Splatting ScenesDiffusion models → 3D, point cloud and scene generation
- Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEGKnowledge distillation → Distillation for medical imaging
- On the Ethical Considerations of Generative AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Track Anything Behind Everything: Zero-Shot Amodal Video Object SegmentationDiffusion models → Medical imaging and segmentation
- Convex Regularization and Convergence of Policy Gradient Flows under Safety ConstraintsDeep reinforcement learning methods → RL theory and sample complexity
- Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in ReconstructionsDiffusion models → Inverse problems and image restoration
- TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- MSG Score: Automated Video Verification for Reliable Multi-Scene GenerationDiffusion models → Video generation
- Timestep Embedding Tells: It's Time to Cache for Video Diffusion ModelDiffusion models → Video generation
- VARCO-VISION: Expanding Frontiers in Korean Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask InpaintingDiffusion models → 3D, point cloud and scene generation
- Mars-PO: Multi-Agent Reasoning System Preference OptimizationLLM reasoning → Reasoning for agents, planning and code +2
- PCDreamer: Point Cloud Completion Through Multi-view Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Random Sampling for Diffusion-based Adversarial PurificationDiffusion models → Robustness, privacy and adversarial aspects
- RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation AnalysisRetrieval-augmented generation → Privacy and security of RAG
- Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar SubjectsDiffusion models → Image generation, text-to-image and editing
- ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming ChallengesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational InferenceDiffusion models → 3D, point cloud and scene generation
- Data Augmentation with Diffusion Models for Colon Polyp Localization on the Low Data Regime: How much real data is enough?Diffusion models → Medical imaging and segmentation
- CoDiff-VC: A Codec-Assisted Diffusion Model for Zero-shot Voice ConversionDiffusion models → Audio, speech and music
- MATATA: Weakly Supervised End-to-End MAthematical Tool-Augmented Reasoning for Tabular ApplicationsLLM reasoning → Knowledge- and tool-augmented reasoning
- Evaluating Sparse Autoencoders on Targeted Concept Erasure TasksMechanistic interpretability → Sparse autoencoder training and evaluation
- A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical ChallengesDeep reinforcement learning methods → Deep RL algorithms and representations
- Adult learners recall and recognition performance and affective feedback when learning from an AI-generated synthetic video
- Integrating Functionalities To A System Via Autoencoder Hippocampus Network
- NERsocial: Efficient Named Entity Recognition Dataset Construction for Human-Robot Interaction Utilizing RapidNER
- Publication Trends in Artificial Intelligence Conferences: The Rise of Super Prolific Authors
- I See, Therefore I Do: Estimating Causal Effects for Image Treatments
- λ: A Benchmark for Data-Efficiency in Long-Horizon Indoor Mobile Manipulation Robotics
- Self-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review
- DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent
- CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients
- Using Images to Find Context-Independent Word Representations in Vector Space
- Applying IRT to Distinguish Between Human and Generative AI Responses to Multiple-Choice Assessments
- Towards Data-centric Machine Learning on Directed Graphs: a Survey
- Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis
- Semi-Supervised Neural Processes for Articulated Object Interactions
- Is Oracle Pruning the True Oracle?
- Differentiable Topology Estimating from Curvatures for 3D Shapes
- EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval
- Adversarial Exploitation of Data Diversity Improves Visual Localization
- FonTS: Text Rendering with Typography and Style Controls
- PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition
- ETAP: Event-based Tracking of Any Point
- Road User Classification from High-Frequency GNSS Data Using Distributed Edge Intelligence
- Open-Sora Plan: Open-Source Large Video Generation Model
- Scaling Particle Collision Data Analysis
- Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
- Auto-Encoded Supervision for Perceptual Image Super-Resolution
- Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression
- Hybrid Discriminative Attribute-Object Embedding Network for Compositional Zero-Shot Learning
- Relation-Aware Meta-Learning for Zero-shot Sketch-Based Image Retrieval
- Training Multi-Layer Binary Neural Networks With Local Binary Error Signals
- Proceedings of the 2024 XCSP3 Competition
- OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation
- Boundary-Decoder network for inverse prediction of capacitor electrostatic analysis
- BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis
- Video Set Distillation: Information Diversification and Temporal Densification
- Demographic Predictability in 3D CT Foundation Embeddings
- Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
- Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data
- Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters
- Any-Resolution AI-Generated Image Detection by Spectral Learning
- Concept-driven Off Policy Evaluation
- Scale-aware Message Passing For Graph Node Classification
- Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks
- Marconi: Prefix Caching for the Era of Hybrid LLMs
- Libra: Leveraging Temporal Images for Biomedical Radiology Analysis
- Parameter-Efficient Transfer Learning for Music Foundation Models
- Machine learning the Ising transition: A comparison between discriminative and generative approaches
- Conformal Calibration of Statistical Confidence Sets
- DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilities
- Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
- Mapping Public Perception of Artificial Intelligence: Expectations, Risk-Benefit Tradeoffs, and Value As Determinants for Societal Acceptance
- OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation
- CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections
- 3D Wasserstein generative adversarial network with dense U-Net based discriminator for preclinical fMRI denoising
All 224
- An Adversarial Learning Approach to Irregular Time-Series Forecasting
- Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation
- SAMa: Material-aware 3D Selection and Segmentation
- Generalized Gaussian Model for Learned Image Compression
- LD-EnSF: Synergizing Latent Dynamics with Ensemble Score Filters for Fast Data Assimilation with Sparse Observations
- Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education
- Structured Object Language Modeling (SoLM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising
- Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
- Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows
- UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation
- TRASE: Tracking-free 4D Segmentation and Editing
- STAG-VIO: Stabilized Prompt-to-Geometry Interface for Robust Dynamic Visual--Inertial Odometry
- BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
- The role of data-induced randomness in quantum machine learning classification tasks
- OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration
- Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images
- On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving
- AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones
- Skeleton Detection Using Dual Radars with Integration of Dual-View CNN Models and mmPose
- Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation
- Contrastive representations of high-dimensional, structured treatments
- Consolidating and Developing Benchmarking Datasets for the Nepali Natural Language Understanding Tasks
- Controlling Participation in Federated Learning with Feedback
- How far can bias go? Tracing bias from pretraining data to alignment
- InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception
- SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework
- Z-STAR+: A Zero-shot Style Transfer Method via Adjusting Style Distribution
- Habit Coach: Customising RAG-based chatbots to support behavior change
- Differentiable Voxel-based X-ray Rendering Improves Sparse-View 3D CBCT Reconstruction
- On the Unknowable Limits to Prediction
- Automatic Prompt Generation and Grounding Object Detection for Zero-Shot Image Anomaly Detection
- Cross-Spectral Attention for Unsupervised RGB-IR Face Verification and Person Re-identification
- ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel Realities
- An Extensive Evaluation of Factual Consistency in Large Language Models for Data-to-Text Generation
- Video Depth without Video Models
- SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation
- Large width penalization for neural network-based prediction interval estimation
- HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos
- Lost & Found: Tracking Changes from Egocentric Observations in 3D Dynamic Scene Graphs
- Neural Shadow Art
- LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair
- DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
- Counting Stacked Objects
- Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
- Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras
- On Moving Object Segmentation from Monocular Video with Transformers
- Examining Multimodal Gender and Content Bias in ChatGPT-4o
- Visual SLAMMOT Considering Multiple Motion Models
- Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures
- Advancing Generalization in PINNs through Latent-Space Representations
- Deep Learning for GWP Prediction: A Framework Using PCA, Quantile Transformation, and Ensemble Modeling
- Introducing Three New Benchmark Datasets for Hierarchical Text Classification
- Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models
- PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers
- Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence
- Detailed Object Description with Controllable Dimensions
- 360Recon: An Accurate Reconstruction Method Based on Depth Fusion from 360 Images
- Pralekha: Cross-Lingual Document Alignment for Indic Languages
- Beautimeter: Harnessing GPT for Assessing Architectural and Urban Beauty based on the 15 Properties of Living Structure
- Seeing SDG 6 from space: local-scale monitoring of piped water and sewage systems across Africa using satellite imagery and self-supervised learning
- Neural Window Decoder for SC-LDPC Codes
- ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation
- ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives
- Improving sub-seasonal wind-speed forecasts in Europe with a non-linear model
- LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm
- Dynamic Attention and Bi-directional Fusion for Safety Helmet Wearing Detection
- MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation
- Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph
- Aggregating Data for Optimal and Private Learning
- Using a Feedback Loop for LLM-based Infrastructure as Code Generation
- TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
- DIESEL -- Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs
- 3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes
- Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations
- Pilot Contamination Aware Transformer for Downlink Power Control in Cell-Free Massive MIMO Networks
- A Survey on Automatic Online Hate Speech Detection in Low-Resource Languages
- Talking to oneself in CMC: a study of self replies in Wikipedia talk pages
- Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement
- An AI-Driven Multimodal Smart Home Platform for Continuous Monitoring and Assistance in Post-Stroke Motor Impairment
- GRU-PFG: Extract Inter-Stock Correlation from Stock Factors with Graph Neural Network
- MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers
- Harden Deep Neural Networks Against Fault Injections Through Weight Scaling
- USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness Task
- Intrinsic Gaussian Process Regression Modeling for Manifold-valued Response Variable
- SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing
- Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems
- Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2
- FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation
- FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems
- Perception of Visual Content: Differences Between Humans and Foundation Models
- Deep Plug-and-Play HIO Approach for Phase Retrieval
- SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors
- Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
- ReMAP: Lossless Residual Neural Lifting for Scalable MAP Inference in Arbitrary-Order Markov Random Fields
- ICLERB: In-Context Learning Embedding and Reranker Benchmark
- Waterfall Transformer for Multi-person Pose Estimation
- Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition
- Rephrasing Electronic Health Records for Pretraining Clinical Language Models
- Efficient Track Anything
- The Impact of Example Selection in Few-Shot Prompting on Automated Essay Scoring Using GPT Models
- EzSQL: An SQL intermediate representation for improving SQL-to-text Generation
- Devising a Set of Compact and Explainable Spoken Language Feature for Screening Alzheimer's Disease
- Federated Continual Graph Learning
- FedRGL: Robust Federated Graph Learning for Label Noise
- MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network
- Textured As-Is BIM via GIS-informed Point Cloud Segmentation
- T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving
- CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation
- ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words
- Sneaking Syntax into Transformer Language Models with Tree Regularization
- ETSM: Automating Dissection Trajectory Suggestion and Confidence Map-Based Safety Margin Prediction for Robot-assisted Endoscopic Submucosal Dissection
- GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection
- Swarm Intelligence-Driven Client Selection for Federated Learning in Cybersecurity applications
- Automating Energy-Efficient GPU Kernel Generation: A Fast Search-Based Compilation Approach
- A Lean Dataset for International Math Olympiad: Small Steps towards Writing Math Proofs for Hard Problems
- Comprehensive Performance Evaluation of YOLOv11, YOLOv10, YOLOv9, YOLOv8 and YOLOv5 on Object Detection of Power Equipment
- RIGI: Rectifying Image-to-3D Generation Inconsistency via Uncertainty-aware Learning
- Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty
- Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving
- COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection
- Improving Accuracy and Generalization for Efficient Visual Tracking
- CrossTracker: Robust Multi-modal 3D Multi-Object Tracking via Cross Correction
- An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications
- Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark