yusuke1997/dblp-id-title huggingface dataset:
Hyper-parameter optimization of Deep Convolutional Networks for object recognition
A Novel Discrete Memristor-Coupled Heterogeneous Dual-Neuron Model and Its Application in Multi-Scenario Image Encryption
zenvisage: Effortless Visual Data Exploration
Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement Learning
Flow-Aware GNN for Transmission Network Reconfiguration via Substation Breaker Optimization
Universal Dependencies to Logical Forms with Negation Scope
Voice conversion with limited data and limitless data augmentations
Hypothesis Testing under Maximal Leakage Privacy Constraints
Color Teams for Machine Learning Development
Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking
A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients
Should we really use post-hoc tests based on mean-ranks?
Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech
Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies
The structure and stability of persistence modules
On the stability of event-based control with neuronal dynamics
Trade-offs Computing Minimum Hub Cover toward Optimized Graph Query Processing
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem
The Parametric Solution of Underdetermined linear ODEs
Controllability and observability of linear multi-agent systems over matrix-weighted signed networks
A convolutional plane wave model for sound field reconstruction
Self-Improving VLM Judges Without Human Annotations
Differential Cost Analysis with Simultaneous Potentials and Anti-potentials
Impact of PGHD reliability on the usefulness of a clinical decision support system
Collaborative Inference for Large Models with Task Offloading and Early Exiting
Does Synthetic Data Help Named Entity Recognition for Low-Resource Languages?
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs
TDMP-Reliable Target Driven and Mobility Prediction based Routing Protocol in Complex VANETs
Convergence analysis of a helicity-preserving finite element discretisation for an incompressible magnetohydrodynamics system
On the Convergence of Adam and Adagrad
DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning
Area law for fixed points of rapidly mixing dissipative quantum systems
TS4Net: Two-Stage Sample Selective Strategy for Rotating Object Detection
Tyshkevich's Graph Decomposition and the Distinguishing Numbers of Unigraphs
Chattering-Free Implementation of Continuous Terminal Algorithm with Implicit Euler Method
Rethink Depth Separation with Intra-layer Links
Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost
Motion Blender Gaussian Splatting for Dynamic Reconstruction
Multi-beam Beamforming in RIS-aided MIMO Subject to Reradiation Mask Constraints - Optimization and Machine Learning Design
Cell-free Massive MIMO Networks: Optimal Power Control against Active Eavesdropping
Logging safely in public spaces using color PINs
Non-Adaptive Coding for Two-Way Wiretap Channel with or without Cost Constraints
Learning to fool the speaker recognition
Greedy Low-Rank Gradient Compression for Distributed Learning with Convergence Guarantees
Questions for a Materialist Philosophy Implying the Equivalence of Computers and Human Cognition
I-Tuning: Tuning Language Models with Image for Caption Generation
ORIGAMI: A flexible state channels design for public blockchain systems
CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach
SemanticTours: A Conceptual Framework for Non-Linear, Knowledge Graph-Driven Data Tours
Comparison of Speech Tasks in Human Expert and Machine Detection of Parkinson's Disease
Distributed Control of Multi-zone HVAC Systems Considering Indoor Air Quality
Reinforcement Learning from Adversarial Preferences in Tabular MDPs
A New Anchor Word Selection Method for the Separable Topic Discovery
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond
Prediction of Aerodynamic Flow Fields Using Convolutional Neural Networks
Real-time Progressive 3D Semantic Segmentation for Indoor Scene
TRIED: Truly Innovative and Effective AI Detection Benchmark, developed by WITNESS
Bypassing orthogonalization in the quantum DPP sampler
Personal Dynamic Cost-Aware Sensing for Latent Context Detection
Minimal linear codes in odd characteristic
Learning Algorithms via Neural Logic Networks
Annotating Electronic Medical Records for Question Answering
Social Distance Detection Using Deep Learning And Risk Management System
Multimodal Learning with Channel-Mixing and Masked Autoencoder on Facial Action Unit Detection
Isometric path antichain covers: beyond hyperbolic graphs
Geometric signals
Fast3Dcache: Training-free 3D Geometry Synthesis Acceleration
Crosslingual Retrieval Augmented In-context Learning for Bangla
RT-cache: Efficient Robot Trajectory Retrieval System
Percolation of Lipschitz surface and tight bounds on the spread of information among mobile agents
Automated Variational Inference in Probabilistic Programming
Payments Use Cases and Design Options for Interoperability and Funds Locking across Digital Pounds and Commercial Bank Money
Autonomous Grasping On Quadruped Robot With Task Level Interaction
Enabling Deep Visibility into VxWorks-Based Embedded Controllers in Cyber-Physical Systems for Anomaly Detection
The self-learning AI controller for adaptive power beaming with fiber-array laser transmitter system
Extended Non-Binary Low-Density Parity-Check Codes over Erasure Channels
Semantic Reasoning for Context-aware Internet of Things Applications
Ideal synchronizer for marked pairs in fork-join network
Web pages search engine based on DNS
Inferring the dynamics of oscillatory systems using recurrent neural networks
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks
A Direct Construction of GCP and Binary CCC of Length Non Power of Two
E-Mail Assistant - Automation of E-Mail Handling and Management using Robotic Process Automation
EVaR-Optimal Arm Identification in Bandits
Dissipativity-Based Data-Driven Decentralized Control of Interconnected Systems
Marine Buoy Location Finding and Tracking System for Linux Supporting Mobiles
From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration
Automatic Location Type Classification From Social-Media Posts
Majority Dynamics and Aggregation of Information in Social Networks
Listing all maximal cliques in sparse graphs in optimal time
Cost-aware Bayesian optimization via the Pandora's Box Gittins index
Dimension-counting bounds for equi-isoclinic subspaces
DUALGUAGE: Automated Joint Security-Functionality Benchmarking for Secure Code Generation
SciBERT: Pretrained Contextualized Embeddings for Scientific Text
Quantum Teleportation for Control of Dynamic Systems and Autonomy
Local cascades induced global contagion: How heterogeneous thresholds, exogenous effects, and unconcerned behaviour govern online adoption spreading
Adaptive Loss Scaling for Mixed Precision Training
Counting Value Sets: Algorithm and Complexity
Precision Knowledge Editing: Enhancing Safety in Large Language Models
Identifying and Mitigating API Misuse in Large Language Models
Exploring ChatGPT-based Augmentation Strategies for Contrastive Aspect-based Sentiment Analysis
Enhanced Hybrid Temporal Computing Using Deterministic Summations for Ultra-Low-Power Accelerators
A complete logic for causal consistency
emojiSpace: Spatial Representation of Emojis
A Power and Area Efficient Lepton Hardware Encoder with Hash-based Memory Optimization
On decoding of a specific type of self-dual codes
BDDs Strike Back: Efficient Analysis of Static and Dynamic Fault Trees
Irregular Turbo Codes in Block-Fading Channels
Renormalization Group Guided Tensor Network Structure Search
Pareto optimal and popular house allocation with lower and upper quotas
Personalized Federated Learning With Structure
Question-Answering Approach to Evaluate Legal Summaries
Hitting Sets Online and Unique-Max Coloring
Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
Primrose: Selecting Container Data Types by their Properties
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction
Model agnostic methods meta-learn despite misspecifications
Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system
A discrete analysis of metal-v belt drive
Reputation-based Incentive Protocols in Crowdsourcing Applications
Synergetic Empowerment: Wireless Communications Meets Embodied Intelligence
Designing two-dimensional limit-cycle oscillators with prescribed trajectories and phase-response characteristics
Tree Notation: an antifragile document format
Leveraging Large Language Models for Pre-trained Recommender Systems
Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation
A Soft Sensing-Based Cognitive Access Scheme Exploiting Primary Feedback
Challenges and recommendations for Electronic Health Records data extraction and preparation for dynamic prediction modelling in hospitalized patients - a practical guide
Misconfidence-based Demonstration Selection for LLM In-Context Learning
Factors Influencing Quality of Mobile Apps: Role of Mobile App Development Life Cycle
Survival Analysis meets Counterfactual Inference
Understanding the Influence of Receptive Field and Network Complexity in Neural-Network-Guided TEM Image Analysis
Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
Information Leakage of Heterogeneous Encoded Correlated Sequences over Eavesdropped Channel
Generative Human-Object Interaction Detection via Differentiable Cognitive Steering of Multi-modal LLMs
Quantifying the topic disparity of scientific articles
Uncertainty-Aware Abstractive Summarization
MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling
Spectral-Refiner: Fine-Tuning of Accurate Spatiotemporal Neural Operator for Turbulent Flows
Efficient algorithms for computing a minimal homology basis
A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence
Efficient low-thrust trajectory data generation based on generative adversarial network
Stock2Vec: An Embedding to Improve Predictive Models for Companies
Preemptive Detection and Steering of LLM Misalignment via Latent Reachability
Action Representation Using Classifier Decision Boundaries
Towards Robust Image-in-Audio Deep Steganography
Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models
An improved Halton sequence for implementation in quasi-Monte Carlo methods
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization
Feedback Linearization for Replicator Dynamics: A Control Framework for Evolutionary Game Convergence
One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features
Evaluating and improving social awareness of energy communities through semantic network analysis of online news
Pretrained Encoders are All You Need
Channel Coding and Lossy Source Coding Using a Constrained Random Number Generator
Expensive Optimisation: A Metaheuristics Perspective
DAP3D-Net: Where, What and How Actions Occur in Videos?
Design and Characterization of High Efficiency Single-stage Electromagnetic Coil Guns
Non-Asymptotic Analysis of Subspace Identification for Stochastic Systems Using Multiple Trajectories
Predictive & Trust-based Multi-Agent Coordination
Manifold Regularized Tucker Decomposition Approach for Spatiotemporal Traffic Data Imputation
Making IP=PSPACE Practical: Efficient Interactive Protocols for BDD Algorithms
Death by a Thousand Prompts: Open Model Vulnerability Analysis
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
Fast Updating the STBC Decoder Matrices in the Uplink of a Massive MIMO System
Finding the Near Optimal Policy via Adaptive Reduced Regularization in MDPs
Latent Task-Specific Graph Network Simulators
Securing the Future Internet of Things with Post-Quantum Cryptography
Privacy-preserving Decentralized Deep Learning with Multiparty Homomorphic Encryption
THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models
Dynamic Type Inference for Gradual Hindley-Milner Typing
On the Entropy Computation of Large Gaussian Mixture Distributions
Use of probabilistic phrases in a coordination game: human versus GPT-4
Canonical Correlation Patterns for Validating Clustering of Multivariate Time Series
Zero-Shot Calibration of Fisheye Cameras
Long Range Stereo Matching by Learning Depth and Disparity
Occam's Razor and Bender and Koller's Octopus
Point-in-Convex Polygon and Point-in-Convex Polyhedron Algorithms with O(1) Complexity using Space Subdivision
Thinking While Driving: A Concurrent Framework for Real-Time, LLM-Based Adaptive Routing
Frequency and time domain packet scheduling based on channel prediction with imperfect CQI in LTE
Methodology for design of templates of text communication messages for software marketing
YAC: BFT Consensus Algorithm for Blockchain
The Minimum Eternal Vertex Cover Problem on a Subclass of Series-Parallel Graphs
Splintering with distributions: A stochastic decoy scheme for private computation
The Artificial Intelligence Disclosure (AID) Framework: An Introduction
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model Integrating CNN, LSTM, and GRU
Examining Political Rhetoric with Epistemic Stance Detection
Survival-oriented embeddings for improving accessibility to complex data structures
PhantomOS: A Next Generation Grid Operating System
Investigating the Impact of Data Selection Strategies on Language Model Performance
Information Processing by Neuron Populations in the Central Nervous System: Mathematical Structure of Data and Operations
Machine learning methods for histopathological image analysis
NP-LoRA: Null Space Projection Unifies Subject and Style in LoRA Fusion
Linear Dimensionality Reduction for Word Embeddings in Tabular Data Classification
Approximate Parametric Computation of Minimum-Cost Flows with Convex Costs
SwarmRob: A Toolkit for Reproducibility and Sharing of Experimental Artifacts in Robotics Research
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT
Expected number of uniformly distributed balls in a most loaded bin using placement with simple linear functions
Reliability Analysis of Processes with Moving Cracked Material
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks
Enhancing the Conventional Information Security Management Maturity Model (ISM3) in Resolving Human Factors in Organization Information Sharing
Enhancing Cold Wallet Security with Native Multi-Signature schemes in Centralized Exchanges
Twin Networks: Using the Future as a Regularizer
Decentralized Stochastic Control in Standard Borel Spaces: Centralized MDP Reductions, Near Optimality of Finite Window Local Information, and Q-Learning
LocSelect: Target Speaker Localization with an Auditory Selective Hearing Mechanism
Assumption-Lean Post-Integrated Inference with Negative Control Outcomes
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge
Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation
Relational to RDF Data Migration by Query Co-Evaluation
Learning Human Body Motions from Skeleton-Based Observations for Robot-Assisted Therapy
Evaluation of Protein Structural Models Using Random Forests
On the Soundness and Consistency of LLM Agents for Executing Test Cases Written in Natural Language
A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records
Learnings Options End-to-End for Continuous Action Tasks
Reward-Predictive Clustering
Sequence pairs related to produced graphs from a method for dividing a natural number by two
Hippocampus segmentation in magnetic resonance images of Alzheimer's patients using Deep machine learning
Modeling the Multi-layer Nature of the European Air Transport Network: Resilience and Passengers Re-scheduling under random failures
AET-SGD: Asynchronous Event-triggered Stochastic Gradient Descent
Leveraging Diversity in Online Interactions
Energy-Efficient Resource Allocation in Wireless Networks with Quality-of-Service Constraints
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images
Using content features to enhance performance of user-based collaborative filtering performance of user-based collaborative filtering
Slepian-Bangs formula and Cramer Rao bound for circular and non-circular complex elliptical symmetric distributions
AI-generated Image Detection: Passive or Watermark?
Yin Yang Convolutional Nets: Image Manifold Extraction by the Analysis of Opposites
Modeling Nonlinear Control Systems via Koopman Control Family: Universal Forms and Subspace Invariance Proximity
A ROS2-based software library for inverse dynamics computation
Face Deblurring Based on Separable Normalization and Adaptive Denormalization
Generalized deconvolution procedure for structural modeling of turbulence
A Novel lightweight Convolutional Neural Network, ExquisiteNetV2
MCNC: Manifold Constrained Network Compression
ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction
Megasonic Enhanced Electrodeposition
A Deep Learning Approach to Renewable Capacity Installation under Jump Uncertainty
Small Language Models for Phishing Website Detection: Cost, Performance, and Privacy Trade-Offs
An Analysis of Reinforcement Learning for Malaria Control
A Power Efficiency Metric for Comparing Energy Consumption in Future Wireless Networks in the Millimeter Wave and Terahertz bands
Extracting Pasture Phenotype and Biomass Percentages using Weakly Supervised Multi-target Deep Learning on a Small Dataset
Predicting the Type and Target of Offensive Social Media Posts in Marathi
The Journal of Prompt-Engineered Philosophy Or: How I Started to Track AI Assistance and Stopped Worrying About Slop
A pedestrian path-planning model in accordance with obstacle's danger with reinforcement learning
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data
Object recognition in primates: What can early visual areas contribute?
Multi-Point Method using Effective Demodulation and Decomposition Techniques allowing Identification of Disturbing Loads in Power Grids
Adaptive Interference Suppression for CDMA Systems using Interpolated FIR Filters with Adaptive Interpolators in Multipath Channels
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
On the Outage Capacity of Orthogonal Space-time Block Codes Over Multi-cluster Scattering MIMO Channels
I Trust my Zombies: A Trust-enabled Botnet
Self-Contained Entity Discovery from Captioned Videos
Tracking with multi-level features
Model-Based Data-Centric AI: Bridging the Divide Between Academic Ideals and Industrial Pragmatism
A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning
Ties between Parametrically Polymorphic Type Systems and Finite Control Automata
Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections
Development of a hybrid method for stock trading based on TOPSIS, EMD and ELM
Autoencoder-based Unsupervised Intrusion Detection using Multi-Scale Convolutional Recurrent Networks
Log-space counter is useful for unary languages by help of a constant-size quantum register
The Adaptive Multi-Factor Model and the Financial Market
A Dual-Perception Graph Neural Network with Multi-hop Graph Generator
Scanning Probe State Recognition With Multi-Class Neural Network Ensembles
Brain-inspired computing: We need a master plan
Multiuser Communications with Movable-Antenna Base Station: Joint Antenna Positioning, Receive Combining, and Power Control
Explaining a Series of Models by Propagating Local Feature Attributions
SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks
A practical approach to testing random number generators in computer algebra systems
Probability of Collision with Tethered Spacecraft
Non-backtracking Operator for Community Detection in Signed Networks
Pretraining Scaling Laws for Generative Evaluations of Language Models
Between Myths and Metaphors: Rethinking LLMs for SRH in Conservative Contexts
Visual-Aware CoT: Achieving High-Fidelity Visual Consistency in Unified Models
Non Gaussian Denoising Diffusion Models
Typed Embedding of a Relational Language in OCaml
What Is The Political Content in LLMs' Pre- and Post-Training Data?
Remaining Time Prediction in Outbound Warehouse Processes: A Case Study (Short Paper)
Research on Innovation in China and Latin America: bibliometric insights in business, management, accounting, and decision sciences
Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models
Online Identification using Adaptive Laws and Neural Networks for Multi-Quadrotor Centralized Transportation System
Evaluation of ChatGPT Feedback on ELL Writers' Coherence and Cohesion
Extrapolative-Interpolative Cycle-Consistency Learning for Video Frame Extrapolation
The Modeling of SDL Aiming at Knowledge Acquisition in Automatic Driving
Leveraging Intel SGX to Create a Nondisclosure Cryptographic library
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners
InspectionV3: Enhancing Tobacco Quality Assessment with Deep Convolutional Neural Networks for Automated Workshop Management
"No, to the Right" - Online Language Corrections for Robotic Manipulation via Shared Autonomy
Equistarable graphs and counterexamples to three conjectures on equistable graphs
A Class of lattices and boolean functions related to some extremal sum problems
Establishing trust in automated reasoning
Poly-locality in quantum computing
NatGVD: Natural Adversarial Example Attack towards Graph-based Vulnerability Detection
Power laws in code repositories: A skeptical approach
Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network
VisTopics: A Visual Semantic Unsupervised Approach to Topic Modeling of Video and Image Data
MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval
Query maintenance under batch changes with small-depth circuits
Towards a consistent interpretation of AIOps models
Concept Stability for Constructing Taxonomies of Web-site Users
From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
Peering Costs and Fees
Efficient Video Sampling: Pruning Temporally Redundant Tokens for Faster VLM Inference
Motion Compensated Frequency Selective Extrapolation for Error Concealment in Video Coding
Managing and Querying Web Services Communities: A Survey
VDDB: a comprehensive resource and machine learning platform for antiviral drug discovery
Yes, BM25 is a Strong Baseline for Legal Case Retrieval
A New Type of Gröbner Basis and Its Complexity
Contextual Beamforming: Exploiting Location and AI for Enhanced Wireless Telecommunication Performance
LA-VocE: Low-SNR Audio-visual Speech Enhancement using Neural Vocoders
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation