Papers
Sun 19 Nov 2023
108 papers
- FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion ModelDiffusion models → Medical imaging and segmentation
- EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Offline Reinforcement Learning for Wireless Network Optimization with Mixture DatasetsOffline RL and imitation learning from data → Offline multi-agent RL
- DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion ModelDiffusion models → Inverse problems and image restoration
- A Survey of Emerging Applications of Diffusion Probabilistic Models in MRIDiffusion models → Medical imaging and segmentation
- MoVideo: Motion-Aware Video Generation with Diffusion ModelsDiffusion models → Video generation
- TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Chain of Visual Perception: Harnessing Multimodal Large Language Models for Zero-shot Camouflaged Object DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Rethinking Large Language Models in Mental Health ApplicationsLLM reasoning → Clinical and biomedical applications
- Adversarial Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Open-Vocabulary Camouflaged Object SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- TextGuard: Provable Defense against Backdoor Attacks on Text ClassificationLLM safety and security → Backdoor and data poisoning attacks
- GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured NoiseDiffusion models → 3D, point cloud and scene generation
- Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?LLM reasoning → Causal reasoning in LLMs
- On the Noise Scheduling for Generating Plausible Designs with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?
- An algorithm for forensic toolmark comparisons
- Zero-Shot Question Answering over Financial Documents using Large Language Models
- Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals
- SecureBERT and LLAMA 2 Empowered Control Area Network Intrusion Detection and Classification
- Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning
- Enhancing Novel Object Detection via Cooperative Foundational Models
- Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Design
- Few-Shot Classification & Segmentation Using Large Language Models Agent
- LLM aided semi-supervision for Extractive Dialog Summarization
- Physics-Enhanced TinyML for Real-Time Detection of Ground Magnetic Anomalies
- Weight Norm Control
- Spot the Bot: Distinguishing Human-Written and Bot-Generated Texts Using Clustering and Information Theory Techniques
- Improved Defect Detection and Classification Method for Advanced IC Nodes by Using Slicing Aided Hyper Inference with Refinement Strategy
- Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
- Unveiling Public Perceptions: Machine Learning-Based Sentiment Analysis of COVID-19 Vaccines in India
- Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training
- Appearance Codes using Joint Embedding Learning of Multiple Modalities
- Tensor-Aware Energy Accounting
- Precision at the indistinguishability threshold: a method for evaluating classification algorithms
- LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
- A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models
- Large Pre-trained time series models for cross-domain Time series analysis tasks
- Negotiated Representations to Prevent Overfitting in Machine Learning Applications
- Make me an Offer: Forward and Reverse Auctioning Problems in the Tourism Industry
- Towards interpretable-by-design deep learning algorithms
- Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
- Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
- Inspecting Explainability of Transformer Models with Additional Statistical Information
- ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
- SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints
- Optimal Locally Private Nonparametric Classification with Public Data
- Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks
- Evidential Uncertainty Quantification: A Variance-Based Perspective
- Symmetry-invariant quantum machine learning force fields
- Scale-aware competition network for palmprint recognition
- Coverage-Validity-Aware Algorithmic Recourse
- A Generative Model for Accelerated Inverse Modelling Using a Novel Embedding for Continuous Variables
- On the Communication Complexity of Decentralized Stochastic Bilevel Optimization
- Self-Distilled Representation Learning for Time Series
- Using Causal Threads to Explain Changes in a Dynamic System
- Portuguese FAQ for Financial Services
- LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions
- Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
- GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation
- Discrete approximations of Gaussian smoothing and Gaussian derivatives
- Optimizing rgb-d semantic segmentation through multi-modal interaction and pooling attention
- UMAAF: Unveiling Aesthetics via Multifarious Attributes of Images
- Large Learning Rates Improve Generalization: But How Large Are We Talking About?
- Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization
- CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies
- From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web
- Pair-wise Layer Attention with Spatial Masking for Video Prediction
- What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization
- Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition
- Classification of Radio Galaxies with trainable COSFIRE filters
- TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss
- LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
- Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control
- Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocation
- Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
- A Cross-Attention Augmented Model for Event-Triggered Context-Aware Story Generation
- Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters
- Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators
- Radarize: Enhancing Radar SLAM with Generalizable Doppler-Based Odometry
- Tensor networks for interpretable and efficient quantum-inspired machine learning
- BOIS: Bayesian Optimization of Interconnected Systems
- Submeter-level Land Cover Mapping of Japan
- A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications
- Open Set Dandelion Network for IoT Intrusion Detection
- AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort
- AtomXR: Streamlined XR Prototyping with Natural Language and Immersive Physical Interaction
- Implementation of AI Deep Learning Algorithm For Multi-Modal Sentiment Analysis
- Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution
- Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare
- Causal ATE Mitigates Unintended Bias in Controlled Text Generation
- A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems
- FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients
- An Interactive Query Generation Assistant using LLM-based Prompt Modification and User Feedback
- SPLAIN: Augmenting Cybersecurity Warnings with Reasons and Data
- Infrared image identification method of substation equipment fault under weak supervision
- Leveraging Generative AI for Clinical Evidence Summarization Needs to Ensure Trustworthiness
- HiH: A Multi-modal Hierarchy in Hierarchy Network for Unconstrained Gait Recognition
- 3D Guidewire Shape Reconstruction from Monoplane Fluoroscopic Images
- LogicNet: A Logical Consistency Embedded Face Attribute Learning Network
All 108
- Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies
- Shape-Sensitive Loss for Catheter and Guidewire Segmentation
- Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
- Beyond the Power Law: Estimation, Goodness-of-Fit, and a Semiparametric Extension in Complex Networks
- Self-Supervised Versus Supervised Training for Segmentation of Organoid Images
- Testing with Non-identically Distributed Samples
- Assessing AI Impact Assessments: A Classroom Study
- Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications