Papers

New on arXiv

Tue 2 Jan 2024

147 papers

ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and TextDiffusion models → Image generation, text-to-image and editing
SwapTransformer: highway overtaking tactical planner model via imitation learning on OSHA datasetOffline RL and imitation learning from data → Imitation and offline RL for driving
VALD-MD: Visual Attribution via Latent Diffusion for Medical DiagnosticsDiffusion models → Medical imaging and segmentation
Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian SplattingWorld models → World models for autonomous driving
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
LLM Harmony: Multi-Agent Communication for Problem SolvingLLM agents and tool use → General LLM agent frameworks and benchmarks
CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent EvaluationLLM agents and tool use → Social simulation and multi-agent debate
Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited ChannelsDeep reinforcement learning methods → RL for games and combinatorial optimization
VideoStudio: Generating Consistent-Content and Multi-Scene VideosDiffusion models → Video generation
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face GenerationDiffusion models → Image generation, text-to-image and editing
Query-Based Knowledge Sharing for Open-Vocabulary Multi-Label ClassificationKnowledge distillation → General knowledge distillation methods
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofingKnowledge distillation → Federated, robust and private distillation
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model ControlLLM safety and security → Backdoor and data poisoning attacks
Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance ReductionDeep reinforcement learning methods → RL theory and sample complexity
DialCLIP: Empowering CLIP as Multi-Modal Dialog RetrieverMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio GenerationDiffusion models → Audio, speech and music
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software DeploymentLLM safety and security → Jailbreaking
A Novel Evaluation Framework for Assessing Resilience Against Prompt Injection Attacks in Large Language ModelsLLM safety and security → Prompt injection and agent security
Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization
Detection of Machine-Generated Text: Literature Survey
HA-HI: Synergising fMRI and DTI through Hierarchical Alignments and Hierarchical Interactions for Mild Cognitive Impairment Diagnosis
Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides
A Survey on Game Theory Optimal Poker
Enhancing Multimodal Understanding with CLIP-Based Image-to-Text Transformation
Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach
Identification of Regulatory Requirements Relevant to Business Processes: A Comparative Study on Generative AI, Embedding-based Ranking, Crowd and Expert-driven Methods
Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
User authentication system based on human exhaled breath physics
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network
Image Sculpting: Precise Object Editing with 3D Geometry Control
Efficient Hybrid Zoom using Camera Fusion on Mobile Phones
Point Cloud Classification via Deep Set Linearized Optimal Transport
Outlier Ranking in Large-Scale Public Health Streams
Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification
Indoor Obstacle Discovery on Reflective Ground via Monocular Camera
Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity
Off-Road LiDAR Intensity Based Semantic Segmentation
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation
Quantifying the Uniqueness and Divisiveness of Presidential Discourse
Scalable network reconstruction in subquadratic time
Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces
Deep autoregressive modeling for land use land cover
Backtracking New Q-Newton's method, Newton's flow, Voronoi's diagram and Stochastic root finding
On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding
TREC iKAT 2023: The Interactive Knowledge Assistance Track Overview
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
Learning solutions to some toy constrained optimization problems in infinite dimensional Hilbert spaces
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
Integrating Edges into U-Net Models with Explainable Activation Maps for Brain Tumor Segmentation using MR Images
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy
Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges
A Comprehensive Study of Knowledge Editing for Large Language Models
Quality and Quantity of Machine Translation References for Automatic Metrics
GEqO: ML-Accelerated Semantic Equivalence Detection
Learning-based agricultural management in partially observable environments subject to climate variability
MOC-RVQ: Multilevel Codebook-Assisted Digital Generative Semantic Communication
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions
LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
f-Divergence Based Classification: Beyond the Use of Cross-Entropy
Optimal Synthesis of Finite State Machines with Universal Gates using Evolutionary Algorithm
Fairness Certification for Natural Language Processing and Large Language Models
Do Concept Bottleneck Models Respect Localities?
On the Parameter Estimation of Sinusoidal Models for Speech and Audio Signals
Deep Learning-Based Computational Model for Disease Identification in Cocoa Pods (Theobroma cacao L.)
Temporal Adaptive RGBT Tracking with Modality Prompt
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces
Encoding Binary Events from Continuous Time Series in Rooted Trees using Contrastive Learning
GEN: A Practical Alternative to Graph Transformers for Long-Range Graph Modeling
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
IdentiFace : A VGG Based Multimodal Facial Biometric System
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond
Self-Supervised Position Debiasing for Large Language Models
Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise
YOLO algorithm with hybrid attention feature pyramid network for solder joint defect detection
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model
Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans
Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms
JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example
Uncertainty Resolution in Misinformation Detection
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems
NID-SLAM: Neural Implicit Representation-based RGB-D SLAM in dynamic environments
Unifying Structured Data as Graph for Data-to-Text Pre-Training
Accurate and Efficient Urban Street Tree Inventory with Deep Learning on Mobile Phone Imagery
GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction
Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion
Learning Surface Scattering Parameters From SAR Images Using Differentiable Ray Tracing
En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data

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