Papers
Wed 30 Aug 2023
180 papers
- A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsDiffusion models → Medical imaging and segmentation
- Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRIDiffusion models → Medical imaging and segmentation
- Response: Emergent analogical reasoning in large language modelsLLM reasoning → Reasoning benchmarks and evaluation
- SignDiff: Diffusion Model for American Sign Language ProductionDiffusion models → Sign language production
- From Pixels to Portraits: A Comprehensive Survey of Talking Head Generation Techniques and ApplicationsDiffusion models → Audio, speech and music
- DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- DiffuVolume: Diffusion Model for Volume based Stereo MatchingDiffusion models → 3D, point cloud and scene generation
- Iterative Reward Shaping using Human Feedback for Correcting Reward MisspecificationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT ReconstructionDiffusion models → Medical imaging and segmentation
- LLaSM: Large Language and Speech ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- On the Potential of CLIP for Compositional Logical ReasoningLLM reasoning → Multimodal reasoning
- Textual and Visual Prompt Fusion for Image Editing via Step-Wise AlignmentDiffusion models → Image generation, text-to-image and editing
- Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the UglyWorld models → World models for navigation
- Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQAMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Learning the References of Online Model Predictive Control for Urban Self-DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Task-Based MoE for Multitask Multilingual Machine TranslationMixture-of-experts → MoE large language models
- Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative ModelsDiffusion models → Robustness, privacy and adversarial aspects
- MDTD: A Multi Domain Trojan Detector for Deep Neural NetworksLLM safety and security → Backdoor and data poisoning attacks
- The HAPPY HEDGEHOG Project
- Nature-Inspired Algorithms in Optimization: Introduction, Hybridization and Insights
- An Uncertainty-Aware Pseudo-Label Selection Framework using Regularized Conformal Prediction
- Analyzing Character and Consciousness in AI-Generated Social Content: A Case Study of Chirper, the AI Social Network
- Multimodal Recommender Systems in the Prediction of Disease Comorbidity
- Solving Recurrence Relations using Machine Learning, with Application to Cost Analysis
- Penalization Framework For Autonomous Agents Using Answer Set Programming
- Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research
- Algebraic Models for Qualified Aggregation in General Rough Sets, and Reasoning Bias Discovery
- A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures
- Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach
- Intelligence as a Measure of Consciousness
- Analysis of Diagnostics (Part I): Prevalence, Uncertainty Quantification, and Machine Learning
- Ten New Benchmarks for Optimization
- Strengthening the EU AI Act: Defining Key Terms on AI Manipulation
- A Unified Analysis on the Subgradient Upper Bounds for the Subgradient Methods Minimizing Composite Nonconvex, Nonsmooth and Non-Lipschitz Functions
- Large Language Models as Data Preprocessors
- Emoji Promotes Developer Participation and Issue Resolution on GitHub
- Catalog Phrase Grounding (CPG): Grounding of Product Textual Attributes in Product Images for e-commerce Vision-Language Applications
- Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations
- ToddlerBERTa: Exploiting BabyBERTa for Grammar Learning and Language Understanding
- Multiple Augmented Reduced Rank Regression for Pan-Cancer Analysis
- Symmetry Preservation in Hamiltonian Systems: Simulation and Learning
- Debunking Disinformation: Revolutionizing Truth with NLP in Fake News Detection
- Two-Stage Violence Detection Using ViTPose and Classification Models at Smart Airports
- Software multiplataforma para a segmentacc~ao de vasos sangu'ineos em imagens da retina
- Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
- A reinforcement learning based construction material supply strategy using robotic crane and computer vision for building reconstruction after an earthquake
- Classification of Anomalies in Telecommunication Network KPI Time Series
- Autonomous damage assessment of structural columns using low-cost micro aerial vehicles and multi-view computer vision
- Learning Diverse Features in Vision Transformers for Improved Generalization
- A numerical approach for the fractional Laplacian via deep neural networks
- Emergence of Segmentation with Minimalistic White-Box Transformers
- Can Prompt Learning Benefit Radiology Report Generation?
- Causal Strategic Learning with Competitive Selection
- Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction
- Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
- Active Neural Mapping
- Calibrated Explanations for Regression
- Deep Video Codec Control for Vision Models
- RetroBridge: Modeling Retrosynthesis with Markov Bridges
- Deep Inductive Logic Programming meets Reinforcement Learning
- MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
- Boosting Detection in Crowd Analysis via Underutilized Output Features
- Learning Vision-based Pursuit-Evasion Robot Policies
- SAM-Med2D
- GREC: Generalized Referring Expression Comprehension
- Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness
- Spatio-temporal model via Locally Adaptive Regression Splines
- Algebraic, Topological, and Mereological Foundations of Existential Granules
- MMVP: Motion-Matrix-based Video Prediction
- Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models
- CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
- MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
- LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
- CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric
- Spatial Graph Coarsening: Weather and Weekday Prediction with London's Bike-Sharing Service using GNN
- survex: an R package for explaining machine learning survival models
- Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation
- Grandma Karl is 27 years old -- research agenda for pseudonymization of research data
- Advanced Deep Regression Models for Forecasting Time Series Oil Production
- Likelihood-based inference and forecasting for trawl processes: a stochastic optimization approach
- Application of Zone Method based Physics-Informed Neural Networks in Reheating Furnaces
- Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion
- Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
- Semantic Image Synthesis via Class-Adaptive Cross-Attention
- Consensus of state of the art mortality prediction models: From all-cause mortality to sudden death prediction
- Conti Inc.: Understanding the Internal Discussions of a large Ransomware-as-a-Service Operator with Machine Learning
- Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap
- A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate
- Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs
- AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations
- PAVI: Plate-Amortized Variational Inference
- SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition
- EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning
- DTrOCR: Decoder-only Transformer for Optical Character Recognition
- FPTQ: Fine-grained Post-Training Quantization for Large Language Models
- Vision-Based Traffic Accident Detection and Anticipation: A Survey
- Learning Structure-from-Motion with Graph Attention Networks
- MerA: Merging Pretrained Adapters For Few-Shot Learning
- RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation
All 180
- Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality
- SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines
- Review of Parameter Tuning Methods for Nature-Inspired Algorithms
- WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model
- Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting
- Fusing Pseudo Labels with Weak Supervision for Dynamic Traffic Scenarios
- Benchmarking Multilabel Topic Classification in the Kyrgyz Language
- Latency-aware Unified Dynamic Networks for Efficient Image Recognition
- Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
- Jaccard-constrained dense subgraph discovery
- Attention-based CT Scan Interpolation for Lesion Segmentation of Colorectal Liver Metastases
- IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation
- Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
- Cyclophobic Reinforcement Learning
- Is the U.S. Legal System Ready for AI's Challenges to Human Values?
- Thermodynamic Computing via Autonomous Quantum Thermal Machines
- Explainable Answer-set Programming
- Beyond Traditional Neural Networks: Toward adding Reasoning and Learning Capabilities through Computational Logic Techniques
- An xAI Approach for Data-to-Text Processing with ASP
- Nemo: First Glimpse of a New Rule Engine
- Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection
- A Logic Programming Approach to Global Logistics in a Co-Design Environment
- Understanding ProbLog as Probabilistic Argumentation
- Natlog: Embedding Logic Programming into the Python Deep-Learning Ecosystem
- Generalizing Level Ranking Constraints for Monotone and Convex Aggregates
- Towards One-Shot Learning for Text Classification using Inductive Logic Programming
- "Would life be more interesting if I were in AI?" Answering Counterfactuals based on Probabilistic Inductive Logic Programming
- Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data
- Explanations for Answer Set Programming
- ABA Learning via ASP
- Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach
- Deontic Paradoxes in ASP with Weak Constraints
- Feature Attention Network (FA-Net): A Deep-Learning Based Approach for Underwater Single Image Enhancement
- On the Independencies Hidden in the Structure of a Probabilistic Logic Program
- Inductive Learning of Declarative Domain-Specific Heuristics for ASP
- Domain Generalization without Excess Empirical Risk
- IIDM: Inter and Intra-domain Mixing for Semi-supervised Domain Adaptation in Semantic Segmentation
- Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection
- Reconstructing Groups of People with Hypergraph Relational Reasoning
- MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting
- Utilizing Task-Generic Motion Prior to Recover Full-Body Motion from Very Sparse Signals
- Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
- Depth analysis of battery performance based on a data-driven approach
- Early Detection of Red Palm Weevil Infestations using Deep Learning Classification of Acoustic Signals
- Introducing Language Guidance in Prompt-based Continual Learning
- AMDNet23: A combined deep Contour-based Convolutional Neural Network and Long Short Term Memory system to diagnose Age-related Macular Degeneration
- Federated Two Stage Decoupling With Adaptive Personalization Layers
- SharpSAT-TD in Model Counting Competitions 2021-2023
- Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement
- Knowledge-grounded Natural Language Recommendation Explanation
- ACNPU: A 4.75TOPS/W 1080P@30FPS Super Resolution Accelerator with Decoupled Asymmetric Convolution
- Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO
- Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking
- HAlf-MAsked Model for Named Entity Sentiment analysis
- Neural Video Compression with Temporal Layer-Adaptive Hierarchical B-frame Coding
- FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features
- Split Without a Leak: Reducing Privacy Leakage in Split Learning
- Large-scale data extraction from the UNOS organ donor documents
- Cyberbullying Detection for Low-resource Languages and Dialects: Review of the State of the Art
- ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers
- Beard Segmentation and Recognition Bias
- Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search (Full version)
- Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey
- Fully Embedded Time-Series Generative Adversarial Networks
- Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials
- Quantifying and Analyzing Entity-level Memorization in Large Language Models
- AGS: An Dataset and Taxonomy for Domestic Scene Sound Event Recognition
- Background Debiased SAR Target Recognition via Causal Interventional Regularizer
- Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
- Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations
- Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection
- Speech Wikimedia: A 77 Language Multilingual Speech Dataset
- Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation
- Towards Earlier Detection of Oral Diseases On Smartphones Using Oral and Dental RGB Images
- Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
- Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction
- Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge
- Segmenting mechanically heterogeneous domains via unsupervised learning
- CongNaMul: A Dataset for Advanced Image Processing of Soybean Sprouts
- Interactively Robot Action Planning with Uncertainty Analysis and Active Questioning by Large Language Model