Papers
Fri 26 Apr 2024
209 papers
- EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural NetworksDeep reinforcement learning methods → Deep RL algorithms and representations
- FashionSD-X: Multimodal Fashion Garment Synthesis using Latent DiffusionDiffusion models → 3D, point cloud and scene generation
- CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem SolvingLLM reasoning → Reasoning for agents, planning and code +1
- Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Knowledge Transfer for Cross-Domain Reinforcement Learning: A Systematic ReviewDeep reinforcement learning methods → Deep RL algorithms and representations
- Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture AssemblyOffline RL and imitation learning from data → Robot manipulation imitation learning
- Center-Based Relaxed Learning Against Membership Inference AttacksLLM safety and security → Membership inference attacks
- Learning Manipulation Tasks in Dynamic and Shared 3D SpacesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- BlenderAlchemy: Editing 3D Graphics with Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- PLAYER*: Enhancing LLM-based Multi-Agent Communication and Interaction in Murder Mystery GamesLLM agents and tool use → Reinforcement learning for LLM agents
- MaPa: Text-driven Photorealistic Material Painting for 3D ShapesDiffusion models → 3D, point cloud and scene generation
- Probabilistic Inference in Language Models via Twisted Sequential Monte CarloLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +1
- Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Large Language Model Agent as a Mechanical DesignerLLM agents and tool use → Multimodal and embodied agents
- A Comprehensive Evaluation on Event Reasoning of Large Language ModelsLLM reasoning → Causal reasoning in LLMs
- Q-learning with temporal memory to navigate turbulenceDeep reinforcement learning methods → RL for robot navigation and UAV control
- Multi-view Image Prompted Multi-view Diffusion for Improved 3D GenerationDiffusion models → 3D, point cloud and scene generation
- Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- MV-VTON: Multi-View Virtual Try-On with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion ModelDiffusion models → Medical imaging and segmentation
- On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance SystemWorld models → World models for autonomous driving
- InspectorRAGet: An Introspection Platform for RAG EvaluationRetrieval-augmented generation → RAG pipeline design and evaluation
- A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLMRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Trinity Detector:text-assisted and attention mechanisms based spectral fusion for diffusion generation image detectionDiffusion models → Image generation, text-to-image and editing
- Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance AdjustmentState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Few-shot Calligraphy Style LearningDiffusion models → Image generation, text-to-image and editing
- Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered ApplicationsRetrieval-augmented generation → Privacy and security of RAG
- An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action ForgingDeep reinforcement learning methods → RL for clinical treatment and surgery
- UniDebugger: Hierarchical Multi-Agent Framework for Unified Software DebuggingLLM agents and tool use → Software engineering coding agents
- Small Language Models Need Strong Verifiers to Self-Correct ReasoningLLM reasoning → Test-time compute and efficient thinking
- Examining the Legal Status of Digital Assets as Property: A Comparative Analysis of Jurisdictional Approaches
- LM-IGTD: a 2D image generator for low-dimensional and mixed-type tabular data to leverage the potential of convolutional neural networks
- Algorithmic Fairness: A Tolerance Perspective
- Language Interaction Network for Clinical Trial Approval Estimation
- Enhancing Channel Estimation in Quantized Systems with a Generative Prior
- sDAC -- Semantic Digital Analog Converter for Semantic Communications
- Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
- Speech Technology Services for Oral History Research
- Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
- Text Quality-Based Pruning for Efficient Training of Language Models
- The Mercurial Top-Level Ontology of Large Language Models
- On the Limitations of Embedding Based Methods for Measuring Functional Correctness for Code Generation
- Mining patterns in syntax trees to automate code reviews of student solutions for programming exercises
- HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models
- Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditions
- Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text
- Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data
- Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning
- LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study
- Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization
- Generative Dataset Distillation: Balancing Global Structure and Local Details
- Aging Up AAC: An Introspection on Augmentative and Alternative Communication Applications for Autistic Adults
- Boltzmann State-Dependent Rationality
- Lessons from Deploying CropFollow++: Under-Canopy Agricultural Navigation with Keypoints
- Airlift Challenge: A Competition for Optimizing Cargo Delivery
- Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes
- Low-rank Matrix Bandits with Heavy-tailed Rewards
- SPLICE -- Streamlining Digital Pathology Image Processing
- Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout
- Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformers
- Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion
- A Biased Estimator for MinMax Sampling and Distributed Aggregation
- Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models in the Visual Arts
- Energy Storage Arbitrage in Two-settlement Markets: A Transformer-Based Approach
- Federated Learning for Blind Image Super-Resolution
- SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals
- Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events
- Hard ASH: Sparsity and the right optimizer make a continual learner
- Consolidating LAMA with Best-First Width Search
- A Conditional Independence Test in the Presence of Discretization
- Empowering Large Language Models for Textual Data Augmentation
- Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank
- Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land
- Attention-aware non-rigid image registration for accelerated MR imaging
- Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
- Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
- DeepVARMA: A Hybrid Deep Learning and VARMA Model for Chemical Industry Index Forecasting
- Quantum Patch-Based Autoencoder for Anomaly Segmentation
- MetaSD: A Unified Framework for Scalable Downscaling of Meteorological Variables in Diverse Situations
- Regression of Dense Distortion Field from a Single Fingerprint Image
- CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning
- Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos
- ChangeBind: A Hybrid Change Encoder for Remote Sensing Change Detection
- An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem
- Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems
- Federated Transfer Component Analysis Towards Effective VNF Profiling
- A Semi-Automatic Approach to Create Large Gender- and Age-Balanced Speaker Corpora: Usefulness of Speaker Diarization & Identification
- Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systems
- Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields
- On the Use of Large Language Models to Generate Capability Ontologies
- Enhancing Legal Compliance and Regulation Analysis with Large Language Models
- Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
- Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks
- Constrained Neural Networks for Interpretable Heuristic Creation to Optimise Computer Algebra Systems
- HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
- Inhomogeneous illumination image enhancement under ex-tremely low visibility condition
- Learning text-to-video retrieval from image captioning
- Causally Abstracted Multi-armed Bandits
All 209
- Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation
- Low Cost Machine Vision for Insect Classification
- Conformal Prediction with Learned Features
- TextGaze: Gaze-Controllable Face Generation with Natural Language
- Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention
- Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
- ReproHum #0087-01: Human Evaluation Reproduction Report for Generating Fact Checking Explanations
- CEval: A Benchmark for Evaluating Counterfactual Text Generation
- FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks
- Fast Abstracts and Student Forum Proceedings -- EDCC 2024 -- 19th European Dependable Computing Conference
- Bayesian Federated Inference for Survival Models
- Multi-layer random features and the approximation power of neural networks
- Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System
- Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
- A Continuous Relaxation for Discrete Bayesian Optimization
- Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
- "ChatGPT Is Here to Help, Not to Replace Anybody" -- An Evaluation of Students' Opinions On Integrating ChatGPT In CS Courses
- Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
- Real-World Deployment of a Hierarchical Uncertainty-Aware Collaborative Multiagent Planning System
- PromptCIR: Blind Compressed Image Restoration with Prompt Learning
- Separation capacity of linear reservoirs with random connectivity matrix
- Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection
- One-Shot Image Restoration
- Evaluation of Geographical Distortions in Language Models
- Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancement
- Evaluations of Machine Learning Privacy Defenses are Misleading
- Online Policy Learning and Inference by Matrix Completion
- Child Speech Recognition in Human-Robot Interaction: Problem Solved?
- M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
- How Could AI Support Design Education? A Study Across Fields Fuels Situating Analytics
- Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows
- Quantum Adjoint Convolutional Layers for Effective Data Representation
- Estimating the Robustness Radius for Randomized Smoothing with 100× Sample Efficiency
- Assessing the Potential of AI for Spatially Sensitive Nature-Related Financial Risks
- Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials
- UniRGB-IR: A Unified Framework for Visible-Infrared Semantic Tasks via Adapter Tuning
- Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifier
- Fast Evaluation of Additive Kernels: Feature Arrangement, Fourier Methods, and Kernel Derivatives
- A Bionic Natural Language Parser Equivalent to a Pushdown Automaton
- From Multiple-Choice to Extractive QA: A Case Study for English and Arabic
- Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning
- Metronome: tracing variation in poetic meters via local sequence alignment
- Introducing cosmosGPT: Monolingual Training for Turkish Language Models
- Dense Road Surface Grip Map Prediction from Multimodal Image Data
- A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
- Certified MaxSAT Preprocessing
- Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning
- Part-Guided 3D RL for Sim2Real Articulated Object Manipulation
- Lazy Data Practices Harm Fairness Research
- When to Trust LLMs: Aligning Confidence with Response Quality
- Machine Learning based prediction of Vanadium Redox Flow Battery temperature rise under different charge-discharge conditions
- Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
- Adversarial Reweighting with α-Power Maximization for Domain Adaptation
- 3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting
- SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes
- Weakly Supervised Training for Hologram Verification in Identity Documents
- Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognition
- Camera Motion Estimation from RGB-D-Inertial Scene Flow
- Making Better Use of Unlabelled Data in Bayesian Active Learning
- Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting
- Binarizing Documents by Leveraging both Space and Frequency
- ObjectAdd: Adding Objects into Image via a Training-Free Diffusion Modification Fashion
- Enhancing Privacy and Security of Autonomous UAV Navigation
- SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval
- Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes
- Cycling into the workshop: predictive maintenance for Barcelona's bike-sharing system
- Prompting Towards Alleviating Code-Switched Data Scarcity in Under-Resourced Languages with GPT as a Pivot
- SLAM for Indoor Mapping of Wide Area Construction Environments
- Scrutinizing Data from Sky: An Examination of Its Veracity in Area Based Traffic Contexts
- Pseudo-Observations and Super Learner for the Estimation of the Restricted Mean Survival Time
- Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer
- Self-supervised visual learning in the low-data regime: a comparative evaluation
- TIGQA:An Expert Annotated Question Answering Dataset in Tigrinya
- MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information
- Low-Rank Knowledge Decomposition for Medical Foundation Models
- Prevalent Frequency of Emotional and Physical Symptoms in Social Anxiety using Zero Shot Classification: An Observational Study
- A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
- RE-RFME: Real-Estate RFME Model for customer segmentation
- MovieChat+: Question-aware Sparse Memory for Long Video Question Answering
- Optimizing Cycle Life Prediction of Lithium-ion Batteries via a Physics-Informed Model
- Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification
- Image Quality Assessment With Compressed Sampling
- FairGT: A Fairness-aware Graph Transformer
- DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs
- Phase-aggregated Dual-branch Network for Efficient Fingerprint Dense Registration
- Online Lnatural-Convex Minimization
- Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation
- CSCO: Connectivity Search of Convolutional Operators
- MorphText: Deep Morphology Regularized Arbitrary-shape Scene Text Detection
- Pose-Specific 3D Fingerprint Unfolding
- Direct Regression of Distortion Field from a Single Fingerprint Image
- On the Federated Learning Framework for Cooperative Perception
- Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting
- Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper
- Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
- Process Mining Embeddings: Learning Vector Representations for Petri Nets
- Deep Evidential Learning for Radiotherapy Dose Prediction
- Text Sentiment Analysis and Classification Based on Bidirectional Gated Recurrent Units (GRUs) Model
- 2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion
- Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs
- Localization of Pallets on Shelves Using Horizontal Plane Projection of a 360-degree Image
- MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
- Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT
- Synthesizing Iris Images using Generative Adversarial Networks: Survey and Comparative Analysis
- Don't Look at the Camera: Achieving Perceived Eye Contact
- Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting
- Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
- CLARE: Cognitive Load Assessment in REaltime with Multimodal Data
- Robust and Efficient Adversarial Defense in SNNs via Image Purification and Joint Detection