yusuke1997/dblp-id-title huggingface dataset:
An Index Coding Approach to Caching with Uncoded Cache Placement
ICE: Identify and Compare Event Sequence Sets through Multi-Scale Matrix and Unit Visualizations
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes
Assembly of multiscale linear PDE operators
Event Detection and Classification for Long Range Sensing of Elephants Using Seismic Signal
Does Explanation Matter? An Exploratory Study on the Effects of Covid 19 Misinformation Warning Flags on Social Media
Orthogonal Frequency Division Multiplexing and its Applications
Modeling and analysis of driver behavior under shared control through weighted visual and haptic guidance
Controllability Metrics and Algorithms for Complex Networks
Matching Shapes Under Different Topologies: A Topology-Adaptive Deformation Guided Approach
Use of "Web Map Image" and copyright act
Unified CNNs and transformers underlying learning mechanism reveals multi-head attention modus vivendi
LIR: A Lightweight Baseline for Image Restoration
Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
A Practical Analysis: Understanding Phase Noise Modelling in Time and Frequency Domain for Phase-Locked Loops
LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations
5-DoF Monocular Visual Localization Over Grid Based Floor
Heart Murmur and Abnormal PCG Detection via Wavelet Scattering Transform & a 1D-CNN
Neurashed: A Phenomenological Model for Imitating Deep Learning Training
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs
A Structured Reasoning Framework for Unbalanced Data Classification Using Probabilistic Models
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats
Design of TDC ASIC based on Temperature Compensation
Path-Based Distance for Street Map Comparison
Optimal Bidding and Coordinated Dispatch of Hybrid Energy Systems in Regulation Markets
Model-based Asynchronous Hyperparameter Optimization
Variable and Value Ordering When Solving Balanced Academic Curriculum Problems
LaSe-E2V: Towards Language-guided Semantic-Aware Event-to-Video Reconstruction
SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification
SSL4SAR: Self-Supervised Learning for Glacier Calving Front Extraction from SAR Imagery
Revisiting Competitive Coding Approach for Palmprint Recognition: A Linear Discriminant Analysis Perspective
A General Framework for Low-Resolution Receivers for MIMO Channels
Towards Multimodal Human Intention Understanding Debiasing via Subject-Deconfounding
Large Alphabet Compression and Predictive Distributions through Poissonization and Tilting
Dialogue Act Segmentation for Vietnamese Human-Human Conversational Texts
Dreaming is All You Need
Real-Time Trajectory Generation and Hybrid Lyapunov-Based Control for Hopping Robots
General-Purpose Join Algorithms for Listing Triangles in Large Graphs
Which Features are Best for Successor Features?
Quantum Software Development Lifecycle
Scalable AI Generative Content for Vehicular Network Semantic Communication
Energy Aware Error Control in Cooperative Communication in Wireless Sensor Networks
Explainability by design: an experimental analysis of the legal coding process
Groupstrategyproofness of the Egalitarian Mechanism for Constrained Rationing Problems
Models of Music Cognition and Composition
Multi-Scale Distributed Representation for Deep Learning and its Application to b-Jet Tagging
Finite Element Approximation of Transmission Eigenvalues for Anisotropic Media
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
Evaluating Hydro-Science and Engineering Knowledge of Large Language Models
Image quality enhancement of embedded holograms in holographic information hiding using deep neural networks
Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients
Learn What You Need in Personalized Federated Learning
Hamiltonian Paths in Two Classes of Grid Graphs
A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision-Revised
Leader-Follower Network Aggregative Game with Stochastic Agents' Communication and Activeness
Cluster Paths: Navigating Interpretability in Neural Networks
Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens
A variant of multitask n-vehicle exploration problem: maximizing every processor's average profit
Real-Time Trajectory Optimization in Robot-Assisted Exercise and Rehabilitation
GANmapper: geographical content filling
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model
Proceedings of the 10th International Conference on Non-Classical Logics. Theory and Applications, NCL 2022, Łódź, Poland, 14-18 March 2022
Hypergraph Structure Inference From Data Under Smoothness Prior
EVolutionary Independent DEtermiNistiC Explanation
Optimized reversible BCD adder using new reversible logic gates
Foundations of Top- k Decoding For Language Models
The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
Who ruins the game?: unveiling cheating players in the "Battlefield" game
WassFFed: Wasserstein Fair Federated Learning
Bridging Player Intentions: Exploring the Potential of Synchronized Haptic Controllers in Multiplayer Game
Self-supervised Learning of Point Clouds via Orientation Estimation
Selection of Input Primitives for the Generalized Label Correcting Method
Towards Negotiative Dialogue for the Talkamatic Dialogue Manager
An Architectural Error Metric for CNN-Oriented Approximate Multipliers
On isodual double polycirculant codes
Your Ride, Your Rules: Psychology and Cognition Enabled Automated Driving Systems
Random scattering of bits by prediction
SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre
Characterizing Van Kampen Squares via Descent Data
Power Side-Channel Attacks in Negative Capacitance Transistor (NCFET)
Signed Input Regularization
Clustering assortativity, communities and functional modules in real-world networks
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation
Abstractors: Transformer Modules for Symbolic Message Passing and Relational Reasoning
Edge Detection: A Collection of Pixel based Approach for Colored Images
Mean-square Exponential Stabilization of Mixed-autonomy Traffic PDE System
Beyond Classification: Financial Reasoning in State-of-the-Art Language Models
Doubly-Generalized LDPC Codes: Stability Bound over the BEC
HyperCube: Implicit Field Representations of Voxelized 3D Models
LipReading with 3D-2D-CNN BLSTM-HMM and word-CTC models
A Flash(bot) in the Pan: Measuring Maximal Extractable Value in Private Pools
Fine-Grained Privacy Guarantees for Coverage Problems
Characterizing Nexus of Similarity within Knowledge Bases: A Logic-based Framework and its Computational Complexity Aspects
Cascaded Scene Flow Prediction using Semantic Segmentation
Keypoint-based object tracking and localization using networks of low-power embedded smart cameras
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report
RAG-Thief: Scalable Extraction of Private Data from Retrieval-Augmented Generation Applications with Agent-based Attacks
Braided Convolutional Codes - A Class of Spatially Coupled Turbo-Like Codes
Can AI support student engagement in classroom activities in higher education?
Scaling Laws for Online Advertisement Retrieval
The "Sound of Silence" in EEG - Cognitive voice activity detection
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions
Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences
Adaptive Learning on the Grids for Elliptic Hemivariational Inequalities
Identifying almost sorted permutations from TCP buffer dynamics
A Mathematical Foundation for the Spatial Uncertainty of Critical Points in Probabilistic Scalar Fields
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips
MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentation
Towards the Automated Generation of Focused Proof Systems
A Tutorial on Spectral Clustering
X-secure T-private Information Retrieval from MDS Coded Storage with Byzantine and Unresponsive Servers
TXSQL: Lock Optimizations Towards High Contented Workloads (Extended Version)
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Agile in the Face of Delay: Asynchronous End-to-End Learning for Real-World Aerial Navigation
Deconstructing Implicit Beliefs in Visual Data Journalism: Unstable Meanings Behind Data as Truth & Design for Insight
Real-time Text Analytics Pipeline Using Open-source Big Data Tools
Open-end bin packing: new and old analysis approaches
Boosting Classifiers with Noisy Inference
Evaluating the Feasibility and Accuracy of Large Language Models for Medical History-Taking in Obstetrics and Gynecology
A New DNA-Based Approach of Generating Key-dependent ShiftRows Transformation
MetaOpera: A Cross-Metaverse Interoperability Protocol
Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning
Precision disease networks (PDN)
Distributed representation of multi-sense words: A loss-driven approach
Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation
Visual Cropping Improves Zero-Shot Question Answering of Multimodal Large Language Models
StaICC: Standardized Evaluation for Classification Task in In-context Learning
Contrastive Deep Graph Clustering with Learnable Augmentation
Cost-limited reachability: a new problem in reachability analysis
ToFu: Visual Tokens Reduction via Fusion for Multi-modal, Multi-patch, Multi-image Task
Towards Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach
QQESPM: A Quantitative and Qualitative Spatial Pattern Matching Algorithm
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
Fast community detection using local neighbourhood search
Streamlining HTTP Flooding Attack Detection through Incremental Feature Selection
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models
MIRAGE: KV Cache Optimization through Parameter Remapping for Multi-tenant LLM Serving
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning
Balancing a Stick with Eyes Shut: Inverted Pendulum on a Cart without Angle Measurement
Safe Medicine Recommendation via Medical Knowledge Graph Embedding
Lecturers' perspectives on the integration of research data management into teacher training programmes
The Kriston AI System for the VoxCeleb Speaker Recognition Challenge 2022
Privacy Enhanced QKD Networks: Zero Trust Relay Architecture based on Homomorphic Encryption
Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors
On level-transitivity and exponential growth
HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation
A Probability Density Theory for Spin-Glass Systems
Controlling instability in the Vlasov-Poisson system through moment-based optimization
Measuring the Knowledge Base: A Program of Innovation Studies
Towards Seamless Authentication for Zoom-Based Online Teaching and Meeting
IoT Behavioral Monitoring via Network Traffic Analysis
Measuring Technological Convergence in Encryption Technologies with Proximity Indices: A Text Mining and Bibliometric Analysis using OpenAlex
Detrended fluctuation analysis of traffic data
GA-PSO-Optimized Neural-Based Control Scheme for Adaptive Congestion Control to Improve Performance in Multimedia Applications
BNLP: Natural language processing toolkit for Bengali language
Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery
How to Hijack Twitter: Online Polarisation Strategies of Germany's Political Far-Right
Human-Computer Interaction with Adaptable & Adaptive Motion-based Games for Health
Decision tree aided planning and energy balancing of planned community microgrids
Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime
Varying Annotations in the Steps of the Visual Analysis
Vision-Motion-Reference Alignment for Referring Multi-Object Tracking via Multi-Modal Large Language Models
Weighted Age of Information based Scheduling for Large Population Games on Networks
On the Concavity of Auxiliary Function in Classical-Quantum Channels
Resultant Tools for Parametric Polynomial Systems with Application to Population Models
Numerics and analysis of Cahn-Hilliard critical points
Exploring Learning-based Motion Models in Multi-Object Tracking
Urban contact structures for epidemic simulations: Correcting biases in data-driven approaches
Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction
Improved Gradient based Adversarial Attacks for Quantized Networks
Three Stage Narrative Analysis; Plot-Sentiment Breakdown, Structure Learning and Concept Detection
Private Date Exposure in Facebook and the Impact of Comprehensible Audience Selection Controls
Smaller extended formulations for spanning tree polytopes in minor-closed classes and beyond
Annealing Optimization for Progressive Learning with Stochastic Approximation
Subspace-Boosted Model Merging
Enhancing Channel Estimation for OTFS systems using Sparse Bayesian Learning with Adaptive Threshold
Private and Communication-Efficient Federated Learning based on Differentially Private Sketches
Lag-Relative Sparse Attention In Long Context Training
Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach
Textural-Structural Joint Learning for No-Reference Super-Resolution Image Quality Assessment
When Machine Learning Meets Congestion Control: A Survey and Comparison
Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs
ICOS: Efficient and Highly Robust Point Cloud Registration with Correspondences
Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
Toward Refactoring of DMARF and GIPSY Case Studies - A Team XI SOEN6471-S14 Project Report
Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegans
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks
Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
RegSpeech12: A Regional Corpus of Bengali Spontaneous Speech Across Dialects
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
A Service-Based Approach for Managing Mammography Data
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference
Improving weather radar by fusion and classification
Effects of Nonparanormal Transform on PC and GES Search Accuracies
Multi-representation d'une ontologie : OWL, bases de donnees, systèmes de types et d'objets
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
Network Security Modeling using NetFlow Data: Detecting Botnet attacks in IP Traffic
Hybrid Spectrogram and Waveform Source Separation
Potential and Limitation of High-Frequency Cores and Caches
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
Deep Learning Methods for Daily Wildfire Danger Forecasting
Reinforcing Video Reasoning with Focused Thinking
Perturbed M-Estimation: A Further Investigation of Robust Statistics for Differential Privacy
Hybrid and Subexponential Linear Logics Technical Report
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation
Application of Convolutional Neural Networks with Quasi-Reversibility Method Results for Option Forecasting
ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation
A Maximum Entropy solution of the Covariance Extension Problem for Reciprocal Processes
Efficient Closest Matrix Product State Learning in Logarithmic Depth
High Resolution Compressed Sensing Radar using Difference Set Codes
Spatiotemporal forecasting of track geometry irregularities with exogenous factors
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Convolutional Neural Networks for Facial Expression Recognition
An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model
On the Metric and Computation of PAC Codes
Interaction as Intelligence Part II: Asynchronous Human-Agent Rollout for Long-Horizon Task Training
High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling
Regret Pruning for Learning Equilibria in Simulation-Based Games
Wireless Silent Speech Interface Using Multi-Channel Textile EMG Sensors Integrated into Headphones
Scheduling Improves the Performance of Belief Propagation for Noisy Group Testing
H2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces
Global Numerical Constraints on Trees
Efficient Gaussian Elimination on a 2D SIMD Array of Processors without Column Broadcasts
MIMO Multiway Relaying with Pairwise Data Exchange: A Degrees of Freedom Perspective
Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
Handling Trust in A Cloud Based Multi Agent System
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization
Compositionality as Lexical Symmetry
ASDA : Analyseur Syntaxique du Dialecte Alg{é}rien dans un but d'analyse s{é}mantique
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
Automatic Minimisation of Masking in Multitrack Audio using Subgroups
Capacity and Delay-Throughput Tradeoff in ICMNs with Poisson Meeting Process
Compute-and-Forward Two-Way Relaying
The Graph Coloring Game on 4⨉n-Grids
Measuring Harmfulness of Computer-Using Agents
RefOnce: Distilling References into a Prototype Memory for Referring Camouflaged Object Detection
Gap Processing for Adaptive Maximal Poisson-Disk Sampling
Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
Amalgamation of Indirect Gamification into Development and Operations (DEVOPS) Course Teaching
DisTRaC: Accelerating High Performance Compute Processing for Temporary Data Storage
Nephele Streaming: Stream Processing Under QoS Constraints At Scale
Institutionalizing Folk Theories of Algorithms: How Multi-Channel Networks (MCNs) Govern Algorithmic Labor in Chinese Live-Streaming Industry
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs
A Performance Comparison of Loss Functions for Deep Face Recognition
Linear-size Suffix Tries and Linear-size CDAWGs Simplified and Improved
The universal equivariance properties of exotic aromatic B-series
CT-GRAPH: Hierarchical Graph Attention Network for Anatomy-Guided CT Report Generation
Testing H-freeness on sparse graphs, the case of bounded expansion
Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning
Structure Theorems for Real-Time Variable-Rate Coding With and Without Side Information
One for All: A General Framework of LLMs-based Multi-Criteria Decision Making on Human Expert Level
HYTREL: Hypergraph-enhanced Tabular Data Representation Learning
Open-domain question classification and completion in conversational information search
Co-sleep: Design for workplace based wellness program to raise awareness of sleep deprivation
Incorporating GNSS Information with LIDAR-Inertial Odometry for Accurate Land-Vehicle Localization
A pair of Second-order complex-valued, N-split operator-splitting methods
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data
Statistical analysis of the Indus script using $n$-grams
VELOCITI: Can Video-Language Models Bind Semantic Concepts through Time?
A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
Tokenize Everything, But Can You Sell It? RWA Liquidity Challenges and the Road Ahead
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2
DermaVQA-DAS: Dermatology Assessment Schema (DAS) & Datasets for Closed-Ended Question Answering & Segmentation in Patient-Generated Dermatology Images
The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution
Testing for separability is hard
Maximal Entropy Reduction Algorithm for SAR ADC Clock Compression
Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
Towards the Standardization of Non-orthogonal Multiple Access for Next Generation Wireless Networks
Mechanism Designs for Stochastic Resources for Renewable Energy Integration
Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training
Towards Attack-Tolerant Networks: Concurrent Multipath Routing and the Butterfly Network
MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems
xGen-small Technical Report
Comparing intermittency and network measurements of words and their dependency on authorship
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification
WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging
Redundancy of Hidden Layers in Deep Learning: An Information Perspective
AI-coupled HPC Workflow Applications, Middleware and Performance
Learned Benchmarks for Subseasonal Forecasting
Requirements Development and Formalization for Reliable Code Generation: A Multi-Agent Vision
MULEX: Disentangling Exploitation from Exploration in Deep RL
MASAI: Modular Architecture for Software-engineering AI Agents
Weak convergence of fully discrete finite element approximations of semilinear hyperbolic SPDE with additive noise
A novel approach for holographic 3D content generation without depth map
Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders
Fast alignment of heterogeneous images in sliced Wasserstein distance
Microcontroller Based Load Monitoring System
Conditional Electrocardiogram Generation Using Hierarchical Variational Autoencoders
MaaSSim - agent-based two-sided mobility platform simulator
PointFlowNet: Learning Representations for 3D Scene Flow Estimation from Point Clouds
ControlBurn: Nonlinear Feature Selection with Sparse Tree Ensembles
Realising Synthetic Active Inference Agents, Part II: Variational Message Updates
Imbalanced Classification in Medical Imaging via Regrouping
Progress and summary of reinforcement learning on energy management of MPS-EV
Quantum Clouds: A future perspective
DECO: Query-Based End-to-End Object Detection with ConvNets
DiffRenderGAN: Addressing Training Data Scarcity in Deep Segmentation Networks for Quantitative Nanomaterial Analysis through Differentiable Rendering and Generative Modelling
Understanding Trends, Patterns, and Dynamics in Global Acquisitions: A Network Perspective
DNLSAT: A Dynamic Variable Ordering MCSAT Framework for Nonlinear Real Arithmetic