yusuke1997/dblp-id-title huggingface dataset:
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
Finding differences in perspectives between designers and engineers to develop trustworthy AI for autonomous cars
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development
Online bin packing of squares and cubes
Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures
Rethinking the role of normalization and residual blocks for spiking neural networks
Experimental study of fish-like bodies with passive tail and tunable stiffness
MQADet: A Plug-and-Play Paradigm for Enhancing Open-Vocabulary Object Detection via Multimodal Question Answering
PHOEG Helps Obtaining Extremal Graphs
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks
Let LLMs Break Free from Overthinking via Self-Braking Tuning
KGOT: Unified Knowledge Graph and Optimal Transport Pseudo-Labeling for Molecule-Protein Interaction Prediction
Understanding Representations Pretrained with Auxiliary Losses for Embodied Agent Planning
FastPose-ViT: A Vision Transformer for Real-Time Spacecraft Pose Estimation
Low-latency Ultra Reliable 5G Communications: Finite-Blocklength Bounds and Coding Schemes
Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction
Protecting Personal Data using Smart Contracts
Emotion Orientated Recommendation System for Hiroshima Tourist by Fuzzy Petri Net
Breaking scaling relations with inverse catalysts: a machine learning exploration of trends in CO 2 hydrogenation energy barriers
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Submission-Aware Reviewer Profiling for Reviewer Recommender System
On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering
StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation
Online Stochastic Optimization with Wasserstein Based Non-stationarity
TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training
Ranking journals: Could Google Scholar Metrics be an alternative to Journal Citation Reports and Scimago Journal Rank?
Towards Abstraction in ASP with an Application on Reasoning about Agent Policies
GUSL-Dehaze: A Green U-Shaped Learning Approach to Image Dehazing
Explicit Multimodal Graph Modeling for Human-Object Interaction Detection
An Exploratory Study of the Relationship between SATD and Other Software Development Activities
Do we need to go Deep? Knowledge Tracing with Big Data
Robust Dialogue Utterance Rewriting as Sequence Tagging
Sim2Air - Synthetic aerial dataset for UAV monitoring
Human-like Driving Decision at Unsignalized Intersections Based on Game Theory
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
CPM Categories for Galois Extensions
Face Deidentification with Generative Deep Neural Networks
Incentive Mechanisms for Mobile Crowd Sensing: Current States and Challenges of Work
Fully complex-valued deep learning model for visual perception
Using Social Media Background to Improve Cold-start Recommendation Deep Models
An Information Theory of Finite Abstractions and their Fundamental Scalability Limits
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving
Molecular solutions for the Maximum K-colourable Sub graph Problem in Adleman-Lipton model
The Impact of Grid Storage on Balancing Costs and Carbon Emissions in Great Britain
PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction
Spike-and-Slab Approximate Message-Passing for High-Dimensional Piecewise-Constant Recovery
Robust M-Estimation for Array Processing: A Random Matrix Approach
On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation
A Tight Lower Bound for Index Erasure
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds
Soundness conditions for big-step semantics
Greedy Construction of DNA Codes and New Bounds
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System
A Thorough Investigation into the Application of Deep CNN for Enhancing Natural Language Processing Capabilities
Hack.VR: A Programming Game in Virtual Reality
Witgenstein's influence on artificial intelligence
Minimax in Geodesic Metric Spaces: Sion's Theorem and Algorithms
Electrocardiogram Generation and Feature Extraction Using a Variational Autoencoder
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
Distance Measures for Sequences
Parsing Expression GLL
YOLOv5 vs. YOLOv8 in Marine Fisheries: Balancing Class Detection and Instance Count
Decoupled Access-Execute on ARM big.LITTLE
Quantum Circuits for GCD Computation with $O(n \log n)$ Depth and O(n) Ancillae
Reactive Multi-Context Systems: Heterogeneous Reasoning in Dynamic Environments
Fast Computation of the Series Impedance of Power Cables with Inclusion of Skin and Proximity Effects
Otsu based Differential Evolution Method for Image Segmentation
Quantum Machine Learning Matrix Product States
UPR: Deadlock-Free Dynamic Network Reconfiguration by Exploiting Channel Dependency Graph Compatibility
Adapting ImageNet-scale models to complex distribution shifts with self-learning
Differential Evolution for Grassmann Manifold Optimization: A Projection Approach
Reinforcement learning-based optimised control for tracking of nonlinear systems with adversarial attacks
Evolving knowledge through negotiation
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
Stochastic Geometry Model for Large-Scale Molecular Communication Systems
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion
Learning to Play Multi-Follower Bayesian Stackelberg Games
Analysis of Global Fixed-Priority Scheduling for Generalized Sporadic DAG Tasks
MonoCon: A general framework for learning ultra-compact high-fidelity representations using monotonicity constraints
Hypercubes and Isometric Words based on Swap and Mismatch Distance
Measuring Style Similarity in Diffusion Models
How hard is it to predict sandpiles on lattices? A survey
CATS v2: Hybrid encoders for robust medical segmentation
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements
TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data
An asymptotic equipartition property for measures on model spaces
Tempo: Application-aware LLM Serving with Mixed SLO Requirements
Randomised Rounding with Applications
Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations
Transient dynamics under structured perturbations: bridging unstructured and structured pseudospectra
Energy-Efficient Multi-Pair Two-Way AF Full-Duplex Massive MIMO Relaying
Multi-timestep models for Model-based Reinforcement Learning
Coarse-Grid Selection Using Simulated Annealing
A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation
The Impact of Snippet Reliability on Misinformation in Online Health Search
MATIC: Adaptation and In-situ Canaries for Energy-Efficient Neural Network Acceleration
AlignNet: Unsupervised Entity Alignment
Simulating Network Influence Algorithms Using Particle-Swarms: PageRank and PageRank-Priors
Semi-Blind System Identification in Wireless Relay Networks via Gaussian Process Iterated Conditioning on the Modes Estimation
Hallucination Detection via Internal States and Structured Reasoning Consistency in Large Language Models
STAC: Leveraging Spatio-Temporal Data Associations For Efficient Cross-Camera Streaming and Analytics
On projections of arbitrary lattices
As-puma: anycast semantics in parking using metaheuristic approach
Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors
Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging
A Joint Variational Framework for Multimodal X-ray Ptychography and Fluorescence Reconstruction
EAANet: Efficient Attention Augmented Convolutional Networks
From Noisy to Native: LLM-driven Graph Restoration for Test-Time Graph Domain Adaptation
Automated Perceived Gender Bias Pipeline in YouTube
Multi-Objective Provisioning of Network Slices using Deep Reinforcement Learning
Strong Converse Exponent for Degraded Broadcast Channels at Rates outside the Capacity Region
ε-isometric dimension reduction for incompressible subsets of 𝓁 p
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification
To what extent is ChatGPT useful for language teacher lesson plan creation?
Select, then Balance: A Plug-and-Play Framework for Exogenous-Aware Spatio-Temporal Forecasting
SignAligner: Harmonizing Complementary Pose Modalities for Coherent Sign Language Generation
Governing Equation Discovery from Data Based on Differential Invariants
Adaptive KV-Cache Compression without Manually Setting Budget
$\prod\limits_{i=1}^{n} \mathbb{Z}_{2^i}$-Additive Cyclic Codes
WiSegRT: Dataset for Site-Specific Indoor Radio Propagation Modeling with 3D Segmentation and Differentiable Ray-Tracing
Aero-LLM: A Distributed Framework for Secure UAV Communication and Intelligent Decision-Making
The Computable Universe Hypothesis
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems
Catching up with trends: The changing landscape of political discussions on twitter in 2014 and 2019
Quantised Global Autoencoder: A Holistic Approach to Representing Visual Data
Regularising Deep Networks with DGMs
Asynchronous $l$-Complete Approximations
On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains
The Quest for Reliable Metrics of Responsible AI
Lightweight Masking Against Static Power Side-Channel Attacks
Unveiling Security, Privacy, and Ethical Concerns of ChatGPT
Addressing harm in online gaming communities - the opportunities and challenges for a restorative justice approach
Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication
Termination of rewriting strategies: a generic approach
Saddlepoint Approximations for Rayleigh Block-Fading Channels
MetroViz: Visual Analysis of Public Transportation Data
Exoplanet Detection via Differentiable Rendering
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
Computational Model of Music Sight Reading: A Reinforcement Learning Approach
A Parallel PageRank Algorithm For Undirected Graph
An isogeometric boundary element method for three-dimensional doubly-periodic layered structures in electromagnetics
Permute-and-Flip: An optimally robust and watermarkable decoder for LLMs
Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics
Quantum-Informed Machine Learning for Chaotic Systems
Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features
GB-hash : Hash Functions Using Groebner Basis
Exploring the Impact of Affine Loop Transformations in Qubit Allocation
Automated Feature Extraction for Website Fingerprinting through Deep Learning
Generating the Functions with Regular Graphs under Composition
Indoor Semantic Segmentation using depth information
Analyzing The Language of Visual Tokens
Notes on Pure Dataflow Matrix Machines: Programming with Self-referential Matrix Transformations
COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework
Mining Social Media for Open Innovation in Transportation Systems
How deep is deep enough? - Optimizing deep neural network architecture
A Unified Approach for Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography
X-Node: Self-Explanation is All We Need
POSIX-based Operating System in the environment of NVM/SCM memory
On Covariate Shift Adaptation via Sparse Filtering
Data-Efficient Symbolic Regression via Foundation Model Distillation
MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale
Scaffolding Metacognition in Programming Education: Understanding Student-AI Interactions and Design Implications
TOBACO: Topology Optimization via Band-limited Coordinate Networks for Compositionally Graded Alloys
Generative Model for Less-Resourced Language with 1 billion parameters
Formalising Natural Language Quantifiers for Human-Robot Interactions
Twisted conjugacy in dihedral Artin groups I: Torus Knot groups
WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation
Evaluation of Differential Privacy Mechanisms on Federated Learning
Security Aspects of ISO 15118 Plug and Charge Payment
AI-Based Measurement of Innovation: Mapping Expert Insight into Large Language Model Applications
Fair and Efficient Allocation with Quotas
Robust Estimation and Generative Adversarial Nets
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation
Early warning of pedestrians and cyclists
Optimal Load Balancing and Assessment of Existing Load Balancing Criteria
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations
Estimating the Value of Evidence-Based Decision Making
SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution
A variant of van Hoeij's algorithm to compute hypergeometric term solutions of holonomic recurrence equations
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration
Histology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detection
Real-Time Bidding Benchmarking with iPinYou Dataset
Optimizing Group Utility in Itinerary Planning: A Strategic and Crowd-Aware Approach
BlinkTrack: Feature Tracking over 100 FPS via Events and Images
Solar Irradiation Forecasting using Genetic Algorithms
On cyclic codes and quasi-cyclic codes over ℤ q +uℤ q
Random finite-difference discretizations of the Ambrosio-Tortorelli functional with optimal mesh size
From RISC-V Cores to Neuromorphic Arrays: A Tutorial on Building Scalable Digital Neuromorphic Processors
A graph-based spatial temporal logic for knowledge representation and automated reasoning in cognitive robots
Convolutional Learning on Simplicial Complexes
The network signature of constellation line figures
Thinking Machines: Mathematical Reasoning in the Age of LLMs
Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model
Exploiting polar symmetry in designing equivariant observers for vision-based motion estimation
VisBuddy - A Smart Wearable Assistant for the Visually Challenged
How to Adapt Wireless DJSCC Symbols to Rate Constrained Wired Networks?
CAFL-L: Constraint-Aware Federated Learning with Lagrangian Dual Optimization for On-Device Language Models
Improving accuracy in short mortality rate series: Exploring Multi-step Forecasting Approaches in Hybrid Systems
Identifying and Modeling Security Threats for IoMT Edge Network using Markov Chain and Common Vulnerability Scoring System (CVSS)
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
Policy Optimization Using Semiparametric Models for Dynamic Pricing
Predicting students' performance in online courses using multiple data sources
Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond
Revealing Multiple Layers of Hidden Community Structure in Networks
Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network
Complexity-entropy analysis at different levels of organization in written language
Manifold Modeling in Quotient Space: Learning An Invariant Mapping with Decodability of Image Patches
Phase space dynamics and control of the quantum particles associated to hypergraph states
Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing
Tradeoff between Diversity and Multiplexing Gains in Block Fading Optical Wireless Channels
Nonparametric Decentralized Sequential Detection via Universal Source Coding
Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference - A Work In Progress
VPH+ and MPC Combined Collision Avoidance for Unmanned Ground Vehicle in Unknown Environment
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application
Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks
The challenges of massification in higher education in Africa
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers
Graph Augmentation Clustering Network
A Survey of Direct Preference Optimization
Citizen Science: Contributions to Astronomy Research
How explainable are adversarially-robust CNNs?
Neural Multigrid
Event-triggered Dual Gradient Tracking for Distributed Resource Allocation
Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning
Graph-based Generative Face Anonymisation with Pose Preservation
Cell A* for Navigation of Unmanned Aerial Vehicles in Partially-known Environments
Control of a Bicycle Using Virtual Holonomic Constraints
Unsupervised Knowledge-Transfer for Learned Image Reconstruction
Improved Bounds and Algorithms for Sparsity-Constrained Group Testing
MAGNet: A Multi-Scale Attention-Guided Graph Fusion Network for DRC Violation Detection
On an Improvement over Rényi's Equivocation Bound
Synergy-Based Hand Pose Sensing: Optimal Glove Design
Principal Filter Analysis for Guided Network Compression
Reversible Logic Synthesis with Minimal Usage of Ancilla Bits
Optimization of vertically mounted agrivoltaic systems
Quality Estimation based Feedback Training for Improving Pronoun Translation
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution
Preserving HRI Capabilities: Physical, Remote and Simulated Modalities in the SciRoc 2021 Competition
GPAI Evaluations Standards Taskforce: Towards Effective AI Governance
On "A Novel Maximum Likelihood Decoding Algorithm for Orthogonal Space-Time Block Codes"
Representation of traces by vectors of words
Mixing Homomorphisms, Recolourings, and Extending Circular Precolourings
A flow-based formulation for parallel machine scheduling using decision diagrams
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization
Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty
Algorithms for Improving the Automatically Synthesized Instruction Set of an Extensible Processor
Sharper Bounds on Four Lattice Constants
Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults with Dementia
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey
Fault-Tolerant Control of a 2 DOF Helicopter (TRMS System) Based on H_infinity
Viewpoint Invariant Change Captioning
Multi-Timescale Ensemble Q-learning for Markov Decision Process Policy Optimization
Personalized Federated Learning with Exact Stochastic Gradient Descent
Validating transformers for redaction of text from electronic health records in real-world healthcare
Predicting Three Types of Freezing of Gait Events Using Deep Learning Models
A Weighted State Redistribution Algorithm for Embedded Boundary Grids
Using Linguistic Cues for Analyzing Social Movements
Bilingual-GAN: A Step Towards Parallel Text Generation
PCPP-Based Reconfiguration Inapproximability: Query Complexity vs. Soundness Gap Trade-offs
Topology-Guided Sampling for Fast and Accurate Community Detection
Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation
KBFormer: A Diffusion Model for Structured Entity Completion
Error-Correction Capability of Reed-Muller codes
Unified framework for Identity and Imagined Action Recognition from EEG patterns
Dual Auction Mechanism for Transaction Forwarding and Validation in Complex Wireless Blockchain Network
A Right Invariant Extended Kalman Filter for Object based SLAM
ALTO: Adaptive Linearized Storage of Sparse Tensors
Inverse Rendering for High-Genus Surface Meshes from Multi-View Images
Integration of Large Vision Language Models for Efficient Post-disaster Damage Assessment and Reporting
Tuning the perplexity for and computing sampling-based t-SNE embeddings
BAPULM: Binding Affinity Prediction using Language Models
An Electrical Grid with Discrete Energy Levels
Class label autoencoder for zero-shot learning
DrapeNet: Generating Garments and Draping them with Self-Supervision
Tractability from overparametrization: The example of the negative perceptron
DeviceRadar: Online IoT Device Fingerprinting in ISPs using Programmable Switches
Transnational Network Dynamics of Problematic Information Diffusion
Stability and Transparency in Series Elastic Actuation: A Two-Port Analysis
Creating awareness about security and safety on highways to mitigate wildlife-vehicle collisions by detecting and recognizing wildlife fences using deep learning and drone technology
A simple-to-implement nonlinear preconditioning of Newton's method for solving the steady Navier-Stokes equations
D3PO: Preference-Based Alignment of Discrete Diffusion Models
Efficient and Accurate Scene Text Detection with Low-Rank Approximation Network
Roughly Collected Dataset for Contact Force Sensing Catheter
Active Clothing Material Perception using Tactile Sensing and Deep Learning
A Tutorial in Connectome Analysis: Topological and Spatial Features of Brain Networks
Adaptive Guidance Semantically Enhanced via Multimodal LLM for Edge-Cloud Object Detection
Modelling Contractual Arguments
Developing and Defeating Adversarial Examples
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning
Piecewise testable tree languages
Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors
Automated Natural Language Explanation of Deep Visual Neurons with Large Models
An Automated Attack Investigation Approach Leveraging Threat-Knowledge-Augmented Large Language Models
A Means-End Account of Explainable Artificial Intelligence
Near Data Scheduling for Data Centers with Multi Levels of Data Locality
Deep Unsupervised Similarity Learning using Partially Ordered Sets
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine
Facial Expression Video Generation Based-On Spatio-temporal Convolutional GAN: FEV-GAN
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Exact computation of Transfer Entropy with Path Weight Sampling
Nonexistence of minimal-time solutions for some variations of the firing squad synchronization problem having simple geometric configurations
Power Allocation for Relayed OFDM with Index Modulation Assisted by Artificial Neural Network
Maximum Sum-Rank Distance Codes over Finite Chain Rings
Testing Changes in Communities for the Stochastic Block Model