yusuke1997/dblp-id-title huggingface dataset:
Analytic Learning of Convolutional Neural Network For Pattern Recognition
A new lower bound for multi-color discrepancy with applications to fair division
Features of Agent-based Models
Multi-constrained 3D topology optimization via augmented topological level-set
Provably Optimal Reinforcement Learning under Safety Filtering
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation
Impact of Light and Shadow on Robustness of Deep Neural Networks
ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMs
Does Thought Require Sensory Grounding? From Pure Thinkers to Large Language Models
System identification and modeling for interacting and non-interacting tank systems using intelligent techniques
Classification of breast cancer histology images using transfer learning
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Token-level Ensembling of Models with Different Vocabularies
Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK
Approximately Efficient Bilateral Trade
Detecting Unauthorized Vehicles using Deep Learning for Smart Cities: A Case Study on Bangladesh
Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models
Approximation algorithms for the square min-sum bin packing problem
A Graph Theoretic Approach to Power System Vulnerability Identification
Weakly-supervised multi-class object localization using only object counts as labels
Adaptive Token-Weighted Differential Privacy for LLMs: Not All Tokens Require Equal Protection
Coverage Path Planning For Minimizing Expected Time to Search For an Object With Continuous Sensing
Planning Truly Dynamic Motions: Path-Velocity Decomposition Revisited
Information Spreading in Dynamic Graphs
Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving
Visual Feedback of Pattern Separability Improves Myoelectric Decoding Performance of Upper Limb Prostheses
InfluenceTracker: Rating the impact of a Twitter account
Digital Investigation of Security Attacks on Cardiac Implantable Medical Devices
Generalised Mixability, Constant Regret, and Bayesian Updating
Diverse Signer Avatars with Manual and Non-Manual Feature Modelling for Sign Language Production
Learning Recommender Systems from Multi-Behavior Data
Seeing It Before It Happens: In-Generation NSFW Detection for Diffusion-Based Text-to-Image Models
Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation
Kolmogorov-Zakharov Model for Optical Fiber Communication
f-VAEs: Improve VAEs with Conditional Flows
CRISNER: A Practically Efficient Reasoner for Qualitative Preferences
Regularization in Relevance Learning Vector Quantization Using l one Norms
ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback
Cohesive Subgraph Discovery in Hypergraphs: A Locality-Driven Indexing Framework
Typical Performance of Approximation Algorithms for NP-hard Problems
Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models
Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications
Interference Channels with Strong Secrecy
PipeLearn: Pipeline Parallelism for Collaborative Machine Learning
Detecting Reddit Users with Depression Using a Hybrid Neural Network
DISCO: Internal Evaluation of Density-Based Clustering
Utilizing coarse-grained data in low-data settings for event extraction
On Berry's conjectures about the stable order in PCF
Max-Min Secrecy Rate and Secrecy Energy Efficiency Optimization for RIS-Aided VLC Systems: RSMA Versus NOMA
DIAP: A Decentralized Agent Identity Protocol with Zero-Knowledge Proofs and a Hybrid P2P Stack
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning
Noise or Signal? Deconstructing Contradictions and An Adaptive Remedy for Reversible Normalization in Time Series Forecasting
Spin Wave Neuroanalog of von Neumann's Microwave Computer
LiDAR, GNSS and IMU Sensor Alignment through Dynamic Time Warping to Construct 3D City Maps
An Algorithm for the Discovery of Independence from Data
PARALLELGPUOS: A Concurrent OS-level GPU Checkpoint and Restore System using Validated Speculation
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
WoLF: the Whole-body Locomotion Framework for Quadruped Robots
IncepSE: Leveraging InceptionTime's performance with Squeeze and Excitation mechanism in ECG analysis
Sequence Training and Adaptation of Highway Deep Neural Networks
Adaptive Multiscale Illumination-Invariant Feature Representation for Undersampled Face Recognition
Feature-Fused SSD: Fast Detection for Small Objects
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking
ACTIDS: An Active Strategy For Detecting And Localizing Network Attacks
Emotion recognition in talking-face videos using persistent entropy and neural networks
Event disturbance rejection: a case study
Spatiotemporal graph neural process for reconstruction, extrapolation, and classification of cardiac trajectories
Identification over Affine Poisson Channels: Applications to Molecular Mixture Communication Systems
Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs
Groupoidal Realizability for Intensional Type Theory
Magneton: Optimizing Energy Efficiency of ML Systems via Differential Energy Debugging
Detecting Parkinson's Disease from Speech-task in an accessible and interpretable manner
Power-Estimation Trade-off of Vector-valued Witsenhausen Counterexample with Causal Decoder
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption
CSCW Principles to Support Citizen Science
A Semantic-Rich Similarity Measure in Heterogeneous Information Networks
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
Causal Time Series Modeling of Supraglacial Lake Evolution in Greenland under Distribution Shift
Multi-Mode High Altitude Platform Stations (HAPS) for Next Generation Wireless Networks
Pose-aware 3D Beamwidth Adaptation for Mobile Extended Reality
Lightweight Latent Reasoning for Narrative Tasks
State-of-the-Art in Software Security Visualization: A Systematic Review
Important node identification for complex networks based on improved Electre Multi-Attribute fusion
Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems
Experience in using a typed functional language for the development of a security application
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation
A New Broadcast Model for Several Network Topologies
A Multi-Layer Regression based Predicable Function Fitting Network
Unlocking Thickness Modeling for Codimensional Contact Simulation
A time-parallel algorithm for almost integrable Hamiltonian systems
IAE Optimized PID Tuning via Second Order Step Response Target Matching
IMPersona: Evaluating Individual Level LM Impersonation
LymphAtlas- A Unified Multimodal Lymphoma Imaging Repository Delivering AI-Enhanced Diagnostic Insight
Enabling Dynamic Sparsity in Quantized LLM Inference
Algorithms and complexity for path covers of temporal DAGs: when is Dilworth dynamic?
VisualSparta: Sparse Transformer Fragment-level Matching for Large-scale Text-to-Image Search
Alleviating Patch Overfitting with Automatic Test Generation: A Study of Feasibility and Effectiveness for the Nopol Repair System
From Understanding to Generation: An Efficient Shortcut for Evaluating Language Models
CORU: Comprehensive Post-OCR Parsing and Receipt Understanding Dataset
Event-Triggered Extremum Seeking Control Systems
AI and Vision based Autonomous Navigation of Nano-Drones in Partially-Known Environments
Discrete Opinion Dynamics with M choices
Efficient Multi-Objective Optimization for Deep Learning
A distributionally robust optimization approach to two-sided chance constrained stochastic model predictive control with unknown noise distribution
Open-loop multi-channel inversion of room impulse response
On uniqueness and reconstruction of a nonlinear diffusion term in a parabolic equation
Conversational Prompt Engineering
Is Pretraining Necessary for Hyperspectral Image Classification?
Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning
Private-Library-Oriented Code Generation with Large Language Models
FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction
Feature Selection via Graph Topology Inference for Soundscape Emotion Recognition
Cross Layer Aware Adaptive MAC based on Knowledge Based Reasoning for Cognitive Radio Computer Networks
BilevelJuMP.jl: Modeling and Solving Bilevel Optimization in Julia
Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels
Direct Participation of Dynamic Virtual Power Plants in Secondary Frequency Control
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning
Active online learning in the binary perceptron problem
Three-dimensional Optical Coherence Tomography Image Denoising via Multi-input Fully-Convolutional Networks
Noise in BosonSampling and the threshold of efficient classical simulability
Integrating Large Language Models with Internet of Things Applications
Bayesian Structural Model Updating with Multimodal Variational Autoencoder
Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework
A Bilevel Optimization Framework For fuel-constrained UAV-UGV Cooperative Routing: Planning and Experimental Validation
Variational Bayesian inference for CP tensor completion with side information
REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval
Neural network state estimation for full quantum state tomography
Exploring the Optimal Time Window for Predicting Cognitive Load Using Physiological Sensor Data
Slightly smaller splitter networks
Overconfident and Unconfident AI Hinder Human-AI Collaboration
Robust prescribed-time coordination control of cooperative-antagonistic networks with disturbances
Autonomous Material Composite Morphing Wing
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
Incentive Attacks in BTC: Short-Term Revenue Changes and Long-Term Efficiencies
Information Capacity Regret Bounds for Bandits with Mediator Feedback
Kernelizing MSO Properties of Trees of Fixed Height, and Some Consequences
A reduced conjugate gradient basis method for fractional diffusion
Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations
Using Mobile Relays to Strongly Connect a Minimum-Power Network between Terminals Complying with No-Transmission Zones
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations
Machine Learning Should Maximize Welfare, Not (Only) Accuracy
A Graph Width Perspective on Partially Ordered Hamiltonian Paths
CNN waste classification project report
Authentication System Securing Index of Image using SVD and ECC
COMs: Complexes of Oriented Matroids
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
Unfolding of Finite Concurrent Automata
DSL-driven Integration of HTTP Services in DIME
Context-based out-of-vocabulary word recovery for ASR systems in Indian languages
Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling
Detection-aided liver lesion segmentation using deep learning
Parameterized Dynamic Logic - Towards A Cyclic Logical Framework for Program Verification via Operational Semantics
Beyond Imitation: Recovering Dense Rewards from Demonstrations
Dynamics of Complex Systems Built as Coupled Physical, Communication and Decision Layers
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling
ProTrain: Efficient LLM Training via Memory-Aware Techniques
A Local Perspective-based Model for Overlapping Community Detection
AutoPlanBench: : Automatically generating benchmarks for LLM planners from PDDL
UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
Graph Construction with Label Information for Semi-Supervised Learning
Enhancement of Spatial Clustering-Based Time-Frequency Masks using LSTM Neural Networks
Non-Intrusive Energy Disaggregation Using Non-negative Matrix Factorization with Sum-to-k Constraint
Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia
Attacks by Content: Automated Fact-checking is an AI Security Issue
VEnhancer: Generative Space-Time Enhancement for Video Generation
Learning Robust Negation Text Representations
S-GBDT: Frugal Differentially Private Gradient Boosting Decision Trees
Enhancing and Analyzing Search performance in Unstructured Peer to Peer Networks Using Enhanced Guided search protocol (EGSP)
ACH: Away Cluster Heads Scheme for Energy Efficient Clustering Protocols in WSNs
Regularized Computation of Approximate Pseudoinverse of Matrices Using Low-Rank Tensor Train Decompositions
Assessing metadata privacy in neuroimaging
Identity Testing for Stochastic Languages
Affective Multimodal Agents with Proactive Knowledge Grounding for Emotionally Aligned Marketing Dialogue
An extension to VORO++ for multithreaded computation of Voronoi cells
Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
CFPNet: Improving Lightweight ToF Depth Completion via Cross-zone Feature Propagation
From sequential decoding to channel polarization and back again
Rethinking the Generation of High-Quality CoT Data from the Perspective of LLM-Adaptive Question Difficulty Grading
Warehouse Problem with Bounds, Fixed Costs and Complementarity Constraints
Cost Aware Untargeted Poisoning Attack against Graph Neural Networks,
Deterministic Parameterized Algorithms for Matching and Packing Problems
Multiplicity is an Inevitable and Inherent Challenge in Multimodal Learning
Deep Exemplar-based Colorization
Skeptical inferences in multi-label ranking with sets of probabilities
Gradient Episodic Memory with a Soft Constraint for Continual Learning
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Differentially Private Relational Learning with Entity-level Privacy Guarantees
Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems
COVID Induced Digital Inequality for Senior Citizens
A New Intelligent Cross-Domain Routing Method in SDN Based on a Proposed Multiagent Reinforcement Learning Algorithm
Towards Scalable Defenses against Intimate Partner Infiltrations
Estimation of superconducting cavity bandwidth and detuning using a Luenberger observer
Liver Segmentation in Abdominal CT Images by Adaptive 3D Region Growing
Towards a real-time distributed feedback system for the transportation assistance of PwD
A note on the longest common substring with $k$-mismatches problem
Microsimulation of Energy and Flow Effects from Optimal Automated Driving in Mixed Traffic
Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting
Fairness implications of encoding protected categorical attributes
Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review
Efficient Graph-based Tensile Strength Simulations of Random Fiber Structures
Behavioral Mechanism Design: Optimal Contests for Simple Agents
Computer vision-based recognition of liquid surfaces and phase boundaries in transparent vessels, with emphasis on chemistry applications
RESTORE: Automated Regression Testing for Datasets
Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models
Countering Inconsistent Labelling by Google's Vision API for Rotated Images
Intrinsic Universality in Seeded Active Tile Self-Assembly
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
Video Object Segmentation using Supervoxel-Based Gerrymandering
Behavioural Correlation for Detecting P2P Bots
Online Structured Sparsity-based Moving Object Detection from Satellite Videos
How to Attain Communication-Efficient DNN Training? Convert, Compress, Correct
RainDiff: End-to-end Precipitation Nowcasting Via Token-wise Attention Diffusion
Shortest Paths and Convex Hulls in 2D Complexes with Non-Positive Curvature
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
Gamified Virtual Reality Exposure Therapy for Mysophobia: Evaluating the Efficacy of a Simulated Sneeze Intervention
Deep clustering: On the link between discriminative models and K-means
Finite volume methods for the computation of statistical solutions of the incompressible Euler equations
On the Limitations of the Univariate Marginal Distribution Algorithm to Deception and Where Bivariate EDAs might help
Torrent: A Distributed DMA for Efficient and Flexible Point-to-Multipoint Data Movement
A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election
mPLM-Sim: Unveiling Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models
Sample-based Dynamic Hierarchical Transformer with Layer and Head Flexibility via Contextual Bandit
Historical Context and Key Features of Digital Money Tokens
Epidemic Spreading in Weighted Networks: An Edge-Based Mean-Field Solution
A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
Glioma Classification using Multi-sequence MRI and Novel Wavelets-based Feature Fusion
GPT4 is Slightly Helpful for Peer-Review Assistance: A Pilot Study
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans
Speculating on the Role of Media Architecture in Post-disaster Rebuilding and Recovery: Insights from Architects and Interaction Designers
Predictive variational inference: Learn the predictively optimal posterior distribution
High-Order Asymptotic-Preserving IMEX schemes for an ES-BGK model for Gas Mixtures
Behavioral Differences is the Key of Ad-hoc Team Cooperation in Multiplayer Games Hanabi
Colloquium: Advances in automation of quantum dot devices control
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks
Self-adaptive Gossip Policies for Distributed Population-based Algorithms
Approximate quantum Markov chains
CROSS-MBCR: Exact Minimum Bandwith Coordinated Regenerating Codes
Exponentially concave functions and a new information geometry
ChainerMN: Scalable Distributed Deep Learning Framework
Point-set registration in bounded domains via the Fokker-Planck equation
Description-based Controllable Text-to-Speech with Cross-Lingual Voice Control
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
(Pen-) Ultimate DNN Pruning
Batched Lazy Decision Trees
Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts
Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
Tensity Research Based on the Information of Eye Movement
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization
Profiles of dynamical systems and their algebra
Deep High-Resolution Network for Low Dose X-ray CT Denoising
Addressing the Accuracy-Cost Tradeoff in Material Property Prediction: A Teacher-Student Strategy
Navigating causal deep learning
Learning a Tree-Structured Ising Model in Order to Make Predictions
Unleashing the Power of Natural Audio Featuring Multiple Sound Sources
An Internal Arc Fixation Channel and Automatic Planning Algorithm for Pelvic Fracture
GuideGen: A Text-guided Framework for Joint CT Volume and Anatomical structure Generation
Shortcut Flow Matching for Speech Enhancement: Step-Invariant flows via single stage training
Advancing Multi-Organ Disease Care: A Hierarchical Multi-Agent Reinforcement Learning Framework
Towards adversarial learning of speaker-invariant representation for speech emotion recognition
Named entity recognition in resumes
Certainty Volume Prediction for Unsupervised Domain Adaptation
Batch Normalization in the final layer of generative networks
Polyp detection inside the capsule endoscopy: an approach for power consumption reduction
SAR-based landslide classification pretraining leads to better segmentation
Co-Contagion Diffusion on Multilayer Networks
Hypergraphs of girth 5 and 6 and coding theory
Interpreting glottal flow dynamics for detecting COVID-19 from voice
Score-based pullback Riemannian geometry
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models
Better artificial intelligence does not mean better models of biology
Fuzzing the brain: Automated stress testing for the safety of ML-driven neurostimulation
Qualitative Failures of Image Generation Models and Their Application in Detecting Deepfakes
On Geodesic Distances and Contextual Embedding Compression for Text Classification
Deep Head Pose Estimation from Depth Data for In-car Automotive Applications
Concept-Level Explanation for the Generalization of a DNN
Fast Classical Scaling
Frequency-selective Dynamic Scattering Arrays for Over-the-air EM Processing
On Neural Architecture Search for Resource-Constrained Hardware Platforms
Efficient quantum algorithm to construct arbitrary Dicke states
Memory Safety Preservation for WebAssembly
Improving the Deployment of Recycling Classification through Efficient Hyper-Parameter Analysis
Some enumerations of binary digital images
A variability measure for estimates of parameters in interval data fitting
Eliminating Catastrophic Interference with Biased Competition
Prediction of scientific collaborations through multiplex interaction networks
Target Tracking in Confined Environments with Uncertain Sensor Positions
Data structures for topologically sound higher-dimensional diagram rewriting
Distributed Randomized Kaczmarz for the Adversarial Workers
Analysis of Beam Misalignment Effect in Inter-Satellite FSO Links
Adjoint-based Data Assimilation of an Epidemiology Model for the Covid-19 Pandemic in 2020
A Pragmatic Coded Modulation Scheme for High-Spectral-Efficiency Fiber-Optic Communications
Deep Learning for Bug-Localization in Student Programs
Towards learning digital twin: case study on an anisotropic non-ideal rotor system
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries
Enhancing Resiliency of Sketch-based Security via LSB Sharing-based Dynamic Late Merging
Modeling the Multivariate Relationship with Contextualized Representations for Effective Human-Object Interaction Detection
AtomoVideo: High Fidelity Image-to-Video Generation
The potential functions of an international institution for AI safety. Insights from adjacent policy areas and recent trends
A Fluctuating Line-of-Sight Fading Model with Double-Rayleigh Diffuse Scattering
Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
XAI-Driven Diagnosis of Generalization Failure in State-Space Cerebrovascular Segmentation Models: A Case Study on Domain Shift Between RSNA and TopCoW Datasets
MRIR: Integrating Multimodal Insights for Diffusion-based Realistic Image Restoration
An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization
Multimodal Road Network Generation Based on Large Language Model
Constraint-Based Categorial Grammar