yusuke1997/dblp-id-title huggingface dataset:
Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Survey
5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
Application of an adaptive model hierarchy to parametrized optimal control problems
VARAN: Variational Inference for Self-Supervised Speech Models Fine-Tuning on Downstream Tasks
Socio-Technical Security Modelling: Analysis of State-of-the-Art, Application, and Maturity in Critical Industrial Infrastructure Environments/Domains
On Minimal Achievable Quotas in Multiwinner Voting
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity
Symmetry breaking for inductive logic programming
Distribution of Edge Load in Scale-free Trees
Herding Positive, Complex Networks
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time
Bayesian Spike Train Inference via Non-Local Priors
Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model
A Tale of Two Imperatives: Privacy and Explainability
A Characterisation of Context-Sensitive Languages by Consensus Games
The Value of Gen-AI Conversations: A bottom-up Framework for AI Value Alignment
Why Are You More Engaged? Predicting Social Engagement from Word Use
CHAINSFORMER: Numerical Reasoning on Knowledge Graphs from a Chain Perspective
Semi Analytical Solution of a Nonlinear Oblique Boundary Value Problem
Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts
Distributionally Robust Multi-objective Bayesian Optimization under Uncertain Environments
5G New Radio Resource Allocation Optimization for Heterogeneous Services
Deep Face Fuzzy Vault: Implementation and Performance
Putting Down Roots: A Graphical Exploration of Community Attachment
Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL
Quantitative Corner Case Feature Analysis of Hybrid Automata with ForFET SMT
A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators
Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control
T*ε - Bounded-Suboptimal Efficient Motion Planning for Minimum-Time Planar Curvature-Constrained Systems
Thinking by Doing: Building Efficient World Model Reasoning in LLMs via Multi-turn Interaction
CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery
MS-Glance: Non-semantic context vectors and the applications in supervising image reconstruction
Near-Optimal Privacy-Utility Tradeoff in Genomic Studies Using Selective SNP Hiding
Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs
Code smells detection and visualization: A systematic literature review
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19
MACTAS: Self-Attention-Based Module for Inter-Agent Communication in Multi-Agent Reinforcement Learning
Total Representations
On Championing Foundation Models: From Explainability to Interpretability
A Deep Learning Approach for Imbalanced Tabular Data in Advertiser Prospecting: A Case of Direct Mail Prospecting
Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians
Entropy in Quantum Information Theory - Communication and Cryptography
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
Bridging the Gap Between LLMs and Human Intentions: Progresses and Challenges in Instruction Understanding, Intention Reasoning, and Reliable Generation
DEEP: Edge-based Dataflow Processing with Hybrid Docker Hub and Regional Registries
Principal Fairness: \\ Removing Bias via Projections
Toward Transformer-Based Object Detection
High Socioeconomic Status is Associated with Diverse Consumption across Brands and Price Levels
An Integer Programming Model for the Dynamic Location and Relocation of Emergency Vehicles: A Case Study
Modeling scientific-citation patterns and other triangle-rich acyclic networks
Linking Representations with Multimodal Contrastive Learning
Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing
Simulating realistic speech overlaps improves multi-talker ASR
Amoeba Techniques for Shape and Texture Analysis
A rate-distortion scenario for the emergence and evolution of noisy molecular codes
TBFT: Understandable and Efficient Byzantine Fault Tolerance using Trusted Execution Environment
Translational Knowledge Map of COVID-19
Progressive Domain Adaptation for Thermal Infrared Object Tracking
Compiling by Proving: Language-Agnostic Automatic Optimization from Formal Semantics
Speaker Identification by GMM based i Vector
Are Condorcet and minimax voting systems the best?
Efficient Scaling of Diffusion Transformers for Text-to-Image Generation
SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters
A Target-Agnostic Protocol-Independent Interface for the Transport Layer
An SDP Primal-Dual Approximation Algorithm for Directed Hypergraph Expansion and Sparsest Cut with Product Demands
Compact Multi-Class Boosted Trees
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
An Optimal Algorithm for Online Freeze-tag
PMMTalk: Speech-Driven 3D Facial Animation from Complementary Pseudo Multi-modal Features
LLMs are Also Effective Embedding Models: An In-depth Overview
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets
Anticipation and next action forecasting in video: an end-to-end model with memory
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
On Capacity and Capacity per Unit Cost of Gaussian Multiple Access Channel with Peak Power Constraints
On compromising freedom of choice and subjective
Self-supervised Enhancement of Latent Discovery in GANs
A computational framework to predict weld integrity and microstructural heterogeneity: application to hydrogen transmission
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
Twin-width of graphs on surfaces
An Evaluation of Classification Methods for 3D Printing Time-Series Data
MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation
NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN
Efficient MoE Inference with Fine-Grained Scheduling of Disaggregated Expert Parallelism
Gradient 𝓁 1 Regularization for Quantization Robustness
The History of Speech Recognition to the Year 2030
Learning to Generate Chairs with Generative Adversarial Nets
Which Sustainable Software Practices Do Scientists Find Most Useful?
Training Sequence Design for MIMO Channels: An Application-Oriented Approach
Agentic Artificial Intelligence for Ethical Cybersecurity in Uganda: A Reinforcement Learning Framework for Threat Detection in Resource-Constrained Environments
Self supervised contrastive learning for digital histopathology
FolksoDrivenCloud: an annotation and process application for social collaborative networking
The Problem of the Priors, or Posteriors?
Strategic Workforce Planning in Crowdsourced Delivery with Hybrid Driver Fleets
A stochastic gradient approach on compressive sensing signal reconstruction based on adaptive filtering framework
Improving Neural Question Generation using World Knowledge
Transfer Learning across Languages from Someone Else's NMT Model
Video Summarization Based on Video-text Modelling
Simply-typed constant-domain modal lambda calculus I: distanced beta reduction and combinatory logic
Detección Automática de Patologías en Notas Clínicas en Español Combinando Modelos de Lenguaje y Ontologías Médicos
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition
Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation
ZSE-Cap: A Zero-Shot Ensemble for Image Retrieval and Prompt-Guided Captioning
Novel anisotropic continuum-discrete damage model capable of representing localized failure of massive structures. Part II: identification from tests under heterogeneous stress field
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies
High-Quality Iterative Logic Compiler for In-Memory SIMD Computation with Tight Coupling of Synthesis and Scheduling
FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt
Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization
Fourier meets Möbius: fast subset convolution
Estimating Wage Disparities Using Foundation Models
Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs
Nonlinear Optimal Recovery in Hilbert Spaces
Stability and Transparency Analysis of a Bilateral Teleoperation in Presence of Data Loss
How Deep Does Your Dependency Tree Go? An Empirical Study of Dependency Amplification Across 10 Package Ecosystems
Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks
Multi-agents Architecture for Semantic Retrieving Video in Distributed Environment
Representation Of Lexical Stylistic Features In Language Models' Embedding Space
From the Closed Classical Algorithmic Universe to an Open World of Algorithmic Constellations
A Perceptron-based Fine Approximation Technique for Linear Separation
ProSTformer: Pre-trained Progressive Space-Time Self-attention Model for Traffic Flow Forecasting
Kamide is in America, Moisil and Leitgeb are in Australia
Byzantine-Robust Gossip: Insights from a Dual Approach
Peridynamics-based discrete element method (PeriDEM) model of granular systems involving breakage of arbitrarily shaped particles
What MLLMs Learn about When they Learn about Multimodal Reasoning: Perception, Reasoning, or their Integration?
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
How to generate random lambda terms?
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark
Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents
Multi-task hypernetworks
Application of Lie Group-based Neural Network Method to Nonlinear Dynamical Systems
Bayesian Deep Learning for Graphs
Noise Induces Loss Discrepancy Across Groups for Linear Regression
Robust and Label-Efficient Deep Waste Detection
A Dual Number Approach for Numerical Calculation of Velocity and Acceleration in the Spherical 4R Mechanism
Cross-layer scheme for low latency multiple description video streaming over Vehicular Ad-hoc NETworks (VANETs)
All-in-One Slider for Attribute Manipulation in Diffusion Models
Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates
Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts
Faster search for tensor decomposition over finite fields
Best-of-Both-Worlds Policy Optimization for CMDPs with Bandit Feedback
STANSE: Bug-finding Framework for C Programs
Uplink Performance Evaluation of Massive MU-MIMO Systems
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks
Response to "Comment on 'Origin of the Curie-von Schweidler law and the fractional capacitor from time-varying capacitance [J. Pow. Sources 532 (2022) 231309]' "
Combining topic modelling and citation network analysis to study case law from the European Court on Human Rights on the right to respect for private and family life
Performance and energy footprint assessment of FPGAs and GPUs on HPC systems using Astrophysics application
Semi-Random Graphs with Planted Sparse Vertex Cuts: Algorithms for Exact and Approximate Recovery
Chattering Phenomena in Time-Optimal Control for High-Order Chain-of-Integrators Systems with Full State Constraints
The Hardness of Subgraph Isomorphism
On stratified regions
Artificial Intelligence for Green Hydrogen Yield Prediction and Site Suitability using SHAP-Based Composite Index: Focus on Oman
Coordination using Implicit Communication
Explore the Loss space with Hill-ADAM
When Less is Enough: Adaptive Token Reduction for Efficient Image Representation
Online Learning of Nonlinear Parametric Models under Non-smooth Regularization using EKF and ADMM
Periodic Chains Scheduling on Dedicated Resources - A Crucial Problem in Time-Sensitive Networks
Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design
Locks and keys: How fast can you open several locks with too many keys?
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising
Resilient Mobile Multi-Target Surveillance Using Multi-Hop Autonomous UAV Networks for Extended Lifetime
STARS: Sensor-agnostic Transformer Architecture for Remote Sensing
A Generative Foundation Model for Chest Radiography
Steering CLIP's vision transformer with sparse autoencoders
Revisiting Acoustic Similarity in Emotional Speech and Music via Self-Supervised Representations
Compositional Synthesis for Linear Systems via Convex Optimization of Assume-Guarantee Contracts
Type-2 fuzzy reliability redundancy allocation problem and its solution using particle swarm optimization algorithm
UV-free Texture Generation with Denoising and Geodesic Heat Diffusions
Wireless Sensors Networks for Internet of Things
Infinity in computable probability
Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data
Proactive Constrained Policy Optimization with Preemptive Penalty
Multi-system intervention optimization for interdependent infrastructure
Knowledge Distillation-Empowered Digital Twin for Anomaly Detection
Robbins-Mobro conditions for persistent exploration learning strategies
DMap: A Distributed Blockchain-based Framework for Online Mapping in Smart City
Morse Neural Networks for Uncertainty Quantification
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control
Self-organizing urban transportation systems
OpenJAI-v1.0: An Open Thai Large Language Model
DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
STAR-RIS-Assisted Hybrid NOMA mmWave Communication: Optimization and Performance Analysis
Thompson sampling for improved exploration in GFlowNets
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
Corps: A Core Calculus of Hierarchical Choreographic Programming
Redacting Transactions fromExecute-Order-Validate Blockchains
HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
A Lasserre-based $(1+\varepsilon)$-approximation for $Pm \mid p_j=1, \textrm{prec} \mid C_{\max}$
Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem
A Variational Integrator for the Discrete Element Method
Invisible Watermarks: Attacks and Robustness
Using KL-divergence to focus Deep Visual Explanation
A Compositional Sheaf-Theoretic Framework for Event-Based Systems
Solovay reducibility via translation functions on rationals and on reals
Improving Web Content Blocking With Event-Loop-Turn Granularity JavaScript Signatures
AU-PD: An Arbitrary-size and Uniform Downsampling Framework for Point Clouds
Large Flocks of Small Birds: On the Minimal Size of Population Protocols
Maximum a Posteriori Adaptation of Network Parameters in Deep Models
Refining Image Categorization by Exploiting Web Images and General Corpus
Monitoring Fog Computing: a Review, Taxonomy and Open Challenges
Consensus of Multi-Agent Networks in the Presence of Adversaries Using Only Local Information
PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries
On Linear Power Control Policies for Energy Harvesting Communications
An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks
A review on application of data mining techniques to combat natural disasters
Laurent Series Solutions of Algebraic Ordinary Differential Equations
Enabling Small Models for Zero-Shot Classification through Model Label Learning
On the Privacy of Two Tag Ownership Transfer Protocols for RFIDs
GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation
Sparse Wearable Sonomyography Sensor-based Proprioceptive Proportional Control Across Multiple Gestures
New Dualities in Linear Systems and Optimal Output Control under Bounded Disturbances
Surprisal Takes It All: Eye Tracking Based Cognitive Evaluation of Text Readability Measures
Key Agreement over an Interference Channel with Noiseless Feedback: Achievable Region & Distributed Allocation
An optimal preconditioner for models of coupled magma/mantle dynamics
Assessing glaucoma in retinal fundus photographs using Deep Feature Consistent Variational Autoencoders
Error Correction Capability of Column-Weight-Three LDPC Codes
Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer
RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-wave Point Cloud Sequence
Deepfake Labels Restore Reality, Especially for Those Who Dislike the Speaker
Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data
Parallel Sandpiles or Spurious Bidirectional Icepiles?
The Secrecy Rate Region of the Broadcast Channel
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection
Accelerating Stochastic Gradient Descent via Online Learning to Sample
A Density Ratio Super Learner
Why SOV might be initially preferred and then lost or recovered? A theoretical framework
Learning to Feel the Future: DreamTacVLA for Contact-Rich Manipulation
Glider: Global and Local Instruction-Driven Expert Router
DashFusion: Dual-stream Alignment with Hierarchical Bottleneck Fusion for Multimodal Sentiment Analysis
ToneUnit: A Speech Discretization Approach for Tonal Language Speech Synthesis
A Complementary Tracking Model with Multiple Features
Solving social dilemmas by reasoning about expectations
RoboAct-CLIP: Video-Driven Pre-training of Atomic Action Understanding for Robotics
EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network
Revisiting the Internet of Things: New Trends, Opportunities and Grand Challenges
S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks
CANDoSA: A Hardware Performance Counter-Based Intrusion Detection System for DoS Attacks on Automotive CAN bus
Upper Bounds on the Acyclic Chromatic Index of Degenerate Graphs
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
An implementation of the "Guess who?" game using CLIP
A Linear-Time Algorithm for the Common Refinement of Rooted Phylogenetic Trees on a Common Leaf Set
Plasmon Resonance Model: Investigation of Analysis of Fake News Diffusion Model with Third Mover Intervention Using Soliton Solution in Non-Complete Information Game under Repeated Dilemma Condition
The uncertainty principle: variations on a theme
PPSEBM: An Energy-Based Model with Progressive Parameter Selection for Continual Learning
Aligning Learning and Endogenous Decision-Making
Influence Guided Context Selection for Effective Retrieval-Augmented Generation
Labeled Packing of Cycles and Circuits
Induced Modularity and Community Detection for Functionally Interpretable Reinforcement Learning
PARS3: Parallel Sparse Skew-Symmetric Matrix-Vector Multiplication with Reverse Cuthill-McKee Reordering
Faster Verifiable Delay Function For Shorter Delay Parameter
Robust Place Categorization with Deep Domain Generalization
Ancient Coin Classification Using Graph Transduction Games
Kidney Exchange: Faster Parameterized Algorithms and Tighter Lower Bounds
Hydrogen under Pressure as a Benchmark for Machine-Learning Interatomic Potentials
Sumotosima: A Framework and Dataset for Classifying and Summarizing Otoscopic Images
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Learning to Diversify for Product Question Generation
Machine learning optimization of Majorana hybrid nanowires
InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation
Sparse coding with earth mover's distance
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
PolyKAN: A Polyhedral Analysis Framework for Provable and Approximately Optimal KAN Compression
Generalisations and improvements of New Q-Newton's method Backtracking
The Subgraph Isomorphism Problem for Port Graphs and Quantum Circuits
Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions
Out-of-distribution Detection in Classifiers via Generation
Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam Dataset
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records
House Price Prediction Using LSTM
Semi-implicit strategies for the Serre-Green-Naghdi equations in hyperbolic form. Is hyperbolic relaxation really a good idea?
On the Hopcroft's minimization algorithm
Intelligence Graph
Biomedical Information Extraction for Disease Gene Prioritization
Embedding Atlas: Low-Friction, Interactive Embedding Visualization
Critical Review for One-class Classification: recent advances and the reality behind them
On the Vulnerability of Capsule Networks to Adversarial Attacks
Varuna: Scalable, Low-cost Training of Massive Deep Learning Models
Goal-Oriented Source Coding using LDPC Codes for Compressed-Domain Image Classification
Implicit Feedback-based Group Recommender System for Internet of Thing Applications
Theoretical Analysis for Determining Geographical Route of Cable Network with Various Disaster-Endurance Levels
Image retargeting via Beltrami representation
Cichlid: Explicit physical memory management for large machines
User Study Exploring the Role of Explanation of Failures by Robots in Human Robot Collaboration Tasks
Scaling Technology Acceptance Analysis with Large Language Model (LLM) Annotation Systems
Graph of Attacks: Improved Black-Box and Interpretable Jailbreaks for LLMs
Farkas layers: don't shift the data, fix the geometry
Multilevel Sentence Embeddings for Personality Prediction
Preprocessing in Inductive Logic Programming
Temporal convolutional neural networks to generate a head-related impulse response from one direction to another
On the Statistics of the Ratio of Non-Constrained Arbitrary α-μ Random Variables: a General Framework and Applications
Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection
Stability of Iterative Decoding of Multi-Edge Type Doubly-Generalized LDPC Codes Over the BEC
Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning
DuoLift-GAN:Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks
A Low Rank Neural Representation of Entropy Solutions
Weighted Sum Rate Optimization for Cognitive Radio MIMO Broadcast Channels
Ultra-Fast and Efficient Design Method Using Deep Learning for Capacitive Coupling WPT System
Ocean Plume Tracking with Unmanned Surface Vessels: Algorithms and Experiments
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning
The Model Counting Competitions 2021-2023
VL-KnG: Visual Scene Understanding for Navigation Goal Identification using Spatiotemporal Knowledge Graphs
2D Basement Relief Inversion using Sparse Regularization
On the Influence of Shape, Texture and Color for Learning Semantic Segmentation
Improved AntiGriesmer Bounds for Linear Anticodes and Applications
Leveraging Contextual Relatedness to Identify Suicide Documentation in Clinical Notes through Zero Shot Learning