yusuke1997/dblp-id-title huggingface dataset:
The Polynomial Transform
Haptic-guided assisted telemanipulation approach for grasping desired objects from heaps
A Bio-Inspired Tensegrity Manipulator with Multi-DOF, Structurally Compliant Joints
Neighbourhood Distillation: On the benefits of non end-to-end distillation
On the configurations of four spheres supporting the vertices of a tetrahedron
Seesaw-Net: Convolution Neural Network With Uneven Group Convolution
Feedback Assisted Adversarial Learning to Improve the Quality of Cone-beam CT Images
Self-organized Emergence of Navigability on Small-World Networks
Modularity benefits reinforcement learning agents with competing homeostatic drives
A Besov-based integration-by-parts method for the incompressible Navier-Stokes equations
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration
SOPHIE: SOft and flexible aerial vehicle for PHysical Interaction with the Environment
Fully discrete polynomial de Rham sequences of arbitrary degree on polygons and polyhedra
Experimenting with the Novel Approaches in Text Steganography
Learning-based Autonomous Oversteer Control and Collision Avoidance
NOMA-based Improper Signaling for MIMO STAR-RIS-assisted Broadcast Channels with Hardware Impairments
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images
A polynomial time (heuristic) SAT algorithm
ICT, Community Memory and Technological Appropriation
A well balanced fvc scheme for 2d shallow water flows on unstructured triangular meshes
Investigating Vision-Language Model for Point Cloud-based Vehicle Classification
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models
KHRONOS: a Kernel-Based Neural Architecture for Rapid, Resource-Efficient Scientific Computation
A Training-based Identification Approach to VIN Adversarial Examples
Towards a vision foundation model for comprehensive assessment of Cardiac MRI
ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis
On The Capacity Deficit of Mobile Wireless Ad Hoc Networks: A Rate Distortion Formulation
Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning
GVDIFF: Grounded Text-to-Video Generation with Diffusion Models
Stochastic Dual Coordinate Descent with Bandit Sampling
Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings
Koopman Representations of Dynamic Systems with Control
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP
Hybrid Systems and Control With Fractional Dynamics (II): Control
Symmetry within and between solutions
Behavior Injection: Preparing Language Models for Reinforcement Learning
Honesty Based Democratic Scheme to Improve Community Cooperation for IoT Based Vehicular Delay Tolerant Networks
The Computational Complexity of Propositional Cirquent Calculus
Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks
Deep Learning Approach for Early Stage Lung Cancer Detection
Accelerating Hybrid XOR-CNF SAT Problems Natively with In-Memory Computing
Abductive Inference in Retrieval-Augmented Language Models: Generating and Validating Missing Premises
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks
A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging
A Dynamic, Hierarchical Resource Model for Converged Computing
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting
Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs
Executable Set Theory and Arithmetic Encodings in Prolog
The Cost of Avoiding Backpropagation
A "poor man's" approach for high-resolution three-dimensional topology optimization of natural convection problems
Efficient Continuous Manifold Learning for Time Series Modeling
Fusion-Based Brain Tumor Classification Using Deep Learning and Explainable AI, and Rule-Based Reasoning
Long-Tailed Continual Learning For Visual Food Recognition
Tensor-Tensor Product Toolbox
Forever Young: Aging Control In DTNs
(-k)-critical trees and k-minimal trees
Discovering plasticity models without stress data
A physics-enhanced multi-modal fused neural network for predicting contamination length interval in pipeline
VRM: Knowledge Distillation via Virtual Relation Matching
Upper Bound of Bayesian Generalization Error in Stochastic Matrix Factorization
A Technical Report for ICCV 2021 VIPriors Re-identification Challenge
Derandomised tensor product gap amplification for quantum Hamiltonians
Nearest Neighbor Language Models for Stylistic Controllable Generation
Minimal Assumptions Refinement for GR(1) Specifications
Mapping Land Naturalness from Sentinel-2 using Deep Contextual and Geographical Priors
Increasing a microscope's effective field of view via overlapped imaging and machine learning
StreaMon: a data-plane programming abstraction for Software-defined Stream Monitoring
Online decentralized decision making with inequality constraints: an ADMM approach
Accurate and efficient structure elucidation from routine one-dimensional NMR spectra using multitask machine learning
Gaussian Channels with Feedback: Optimality, Fundamental Limitations, and Connections of Communication, Estimation, and Control
UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
Snapshot multi-spectral imaging through defocusing and a Fourier imager network
SPAIC: A Spike-based Artificial Intelligence Computing Framework
Making Space for Stories: Ambiguity in the Design of Personal Communication Systems
Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics
How much can one learn a partial differential equation from its solution?
Energy Efficiency and Sum Rate Tradeoffs for Massive MIMO Systems with Underlaid Device-to-Device Communications
Tight Error Bounds for Nonnegative Orthogonality Constraints and Exact Penalties
Robust Uncertainty-Aware Multiview Triangulation
Residual Dynamics Learning for Trajectory Tracking for Multi-rotor Aerial Vehicles
Cooperative Data Offloading in Opportunistic Mobile Networks
Compact Bidirectional Transformer for Image Captioning
H2PIPE: High throughput CNN Inference on FPGAs with High-Bandwidth Memory
Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware Semantic Segmentation
Hierarchical models vs. transfer learning for document-level sentiment classification
YouTube Chatter: Understanding Online Comments Discourse on Misinformative and Political YouTube Videos
AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising
A stochastic power management strategy with skid avoidance for improving energy efficiency of in-wheel motor electric vehicles
Novel Clinical-Grade Prostate Cancer Detection and Grading Model: Development and Prospective Validation Using Real World Data, with Performance Assessment on IHC Requested Cases
Securing Agentic AI Systems - A Multilayer Security Framework
Speech Editing - a Summary
Power Assignment Problems in Wireless Communication
Machine learning models for daily rainfall forecasting in Northern Tropical Africa using tropical wave predictors
Reliable Collaborative Conversational Agent System Based on LLMs and Answer Set Programming
Sequence-based Multimodal Apprenticeship Learning For Robot Perception and Decision Making
PIDE as front-end technology for Coq
KRF: Keypoint Refinement with Fusion Network for 6D Pose Estimation
Zero-Error Shift-Correcting and Shift-Detecting Codes
Model Inference with Stein Density Ratio Estimation
How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets
PPG to ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling
Embrace rejection: Kernel matrix approximation by accelerated randomly pivoted Cholesky
Extreme event-size fluctuations in biased random walks on networks
Q-Insight: Understanding Image Quality via Visual Reinforcement Learning
Deployment of Robotic Swarms via Density Feedback Control
Computing with bricks and mortar: Classification of waveforms with a doped concrete blocks
An algorithm for the optimization of finite element integration loops
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration
A High-Capacity and Secure Disambiguation Algorithm for Neural Linguistic Steganography
A photonic complex perceptron for ultrafast data processing
Portable Biomechanics Laboratory: Clinically Accessible Movement Analysis from a Handheld Smartphone
Unveiling the Secrets of Engaging Conversations: Factors that Keep Users Hooked on Role-Playing Dialog Agents
Pyramid diffractive optical networks for unidirectional magnification and demagnification
Causality can systematically address the monsters under the bench(marks)
DeepBlip: Estimating Conditional Average Treatment Effects Over Time
On Latent Distributions Without Finite Mean in Generative Models
Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification
Who Gets the Callback? Generative AI and Gender Bias
Abstractive Summarization of Spoken and Written Conversation
Correlation of positive and negative reciprocity fails to confer an evolutionary advantage: Phase transitions to elementary strategies
STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
Optimal Scheduling for Energy Harvesting Transmitters with Hybrid Energy Storage
Two Steps Feature Selection and Neural Network Classification for the TREC-8 Routing
Lexical Disambiguation in Natural Language Questions (NLQs)
Implicit Particle Filtering via a Bank of Nonlinear Kalman Filters
Towards Efficient General Feature Prediction in Masked Skeleton Modeling
Option Comparison Network for Multiple-choice Reading Comprehension
SMILE: Sequence-to-Sequence Domain Adaption with Minimizing Latent Entropy for Text Image Recognition
Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification
Robust and lightweight audio fingerprint for Automatic Content Recognition
Searching for a higher power in the human evaluation of MT
Does AI Code Review Lead to Code Changes? A Case Study of GitHub Actions
Forecasting Patient Flows with Pandemic Induced Concept Drift using Explainable Machine Learning
Collaborative Texture Filtering
An Incentivized Approach for Fair Participation in Wireless Ad hoc Networks
Accessibility, Safety, and Accommodation Burden in U.S. Higher Education Syllabi for Blind and Low-Vision Students
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
Null-Space Filtering for Data-Free Continual Model Merging: Preserving Transparency, Promoting Fidelity
V-CEM: Bridging Performance and Intervenability in Concept-based Models
Non-target Structural Displacement Measurement Using Reference Frame Based Deepflow
End-to-end Face Detection and Cast Grouping in Movies Using Erdős-Rényi Clustering
Classification of Large-Scale Fundus Image Data Sets: A Cloud-Computing Framework
Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease
Towards Online Sign Language Recognition and Translation
State-Space Large Audio Language Models
Unified Performance Analysis of Mixed Radio Frequency/Free-Space Optical Dual-Hop Transmission Systems
Computer networks new generation in the use of RES
Joint Beamforming and Power Allocation for MIMO Relay Broadcast Channel with Individual SINR Constraints
StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance
Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction
ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning
Energy Optimization of Memory Intensive Parallel workloads
A Practical Study of Control in Objected-Oriented-Functional-Logic Programming with Paisley
Large Scale Finite-Temperature Real-time Time Dependent Density Functional Theory Calculation with Hybrid Functional on ARM and GPU Systems
Iterative Tree Analysis for Medical Critics
Sharp bounds for population recovery
Greedy Signal Recovery Review
Hybrid physics-informed metabolic cybergenetics: process rates augmented with machine-learning surrogates informed by flux balance analysis
Counterfactual Explanation Algorithms for Behavioral and Textual Data
TI-CNN: Convolutional Neural Networks for Fake News Detection
Bimodal logics with a 'weakly connected' component without the finite model property
Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems
One-Step Abductive Multi-Target Learning with Diverse Noisy Samples
URM4DMU: an user represention model for darknet markets users
Atomic Swaps between Bitcoin and Monero
Blockchain-empowered Edge Intelligence for Internet of Medical Things Against COVID-19
Censoring for Improved Sensing Performance in Infrastructure-less Cognitive Radio Networks
Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication
Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images
Efficiently Trained Mongolian Text-to-Speech System Based On FullConv
Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors
Optimal control and stablilization for linear continuous-time mean-field systems with delay
Capstone: A Capability-based Foundation for Trustless Secure Memory Access (Extended Version)
Bringing SDN to the Mobile Edge
Detecting Neural Trojans Through Merkle Trees
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
Modulated String Searching
Rethinking How We Discuss the Guidance of Student Researchers in Computing
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis
A Unified Tagging Solution: Bidirectional LSTM Recurrent Neural Network with Word Embedding
Duluth at Semeval-2017 Task 7 : Puns upon a midnight dreary, Lexical Semantics for the weak and weary
Investigating Resource-efficient Neutron/Gamma Classification ML Models Targeting eFPGAs
Instant AoI Optimization through Relay Location Selection in Disaster Multi-hop Communication
Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning
Distributed Priority Synthesis and its Applications
Fully Decentralized Design of Initialization-free Distributed Network Size Estimation
Why Aren't Regular Expressions a Lingua Franca? An Empirical Study on the Re-use and Portability of Regular Expressions
Real-Time, Population-Based Reconstruction of 3D Bone Models via Very-Low-Dose Protocols
Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning
Comparison of full-text versus metadata searching in an institutional repository: Case study of the UNT Scholarly Works
Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization
Decentralized Optimization with Heterogeneous Delays: a Continuous-Time Approach
A Survey of Scaling in Large Language Model Reasoning
ABC: A Simple Explicit Congestion Control Protocol for Wireless Networks
Implementing LoRa MIMO System for Internet of Things
Distributed Parameter Estimation under Gaussian Observation Noises
Uniform Convergence Guarantees for the Deep Ritz Method for Nonlinear Problems
Can Language Models Evaluate Human Written Text? Case Study on Korean Student Writing for Education
Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier
Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation
CamemBERT 2.0: A Smarter French Language Model Aged to Perfection
An Activity-Based Model of Transport Demand for Greater Melbourne
Robust Learning Under Label Noise With Iterative Noise-Filtering
Deep Constrained Dominant Sets for Person Re-identification
ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Toward Maximizing the Visibility of Content in Social Media Brand Pages: A Temporal Analysis
Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models
NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation
The Role of Verb Semantics in Hungarian Verb-Object Order
Deep Attention Aware Feature Learning for Person Re-Identification
Neural network approximation of regularized density functionals
Improved EEG Classification by factoring in sensor topography
Dual Adversarial Perturbators Generate rich Views for Recommendation
Data-driven H2-optimal Model Reduction via Offline Transfer Function Sampling
Bayesian inference via geometric optics approximation
Alchemist: Towards the Design of Efficient Online Continual Learning System
Distributed Time-Varying Graph Filtering
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics
WHALETRANS: E2E WHisper to nAturaL spEech conversion using modified TRANSformer network
HARQ-IR Aided Short Packet Communications: BLER Analysis and Throughput Maximization
Overlapping Communities in Complex Networks
Privacy-preserving Automatic Speaker Diarization
A Scale Invariant Flatness Measure for Deep Network Minima
Realizability Makes a Difference: A Complexity Gap for Sink-Finding in USOs
Offline Reinforcement Learning via Inverse Optimization
Big Data Analytics = Machine Learning + Cloud Computing
The Neuron as a Direct Data-Driven Controller
Learning dynamics for improving control of overactuated flying systems
SoK: Decentralized Finance (DeFi) - Fundamentals, Taxonomy and Risks
Contrastive Language-Action Pre-training for Temporal Localization
iMotion-LLM: Motion Prediction Instruction Tuning
Splitting Approach for Solving Multi-Component Transport Models with Maxwell-Stefan-Diffusion
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Hypergraph Modelling for Geometric Model Fitting
Data-driven simulation for general purpose multibody dynamics using deep neural networks
Migrant mobility flows characterized with digital data
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding
Towards Global, Socio-Economic, and Culturally Aware Recommender Systems
Accuracy Boost in Ensemble Kalman Inversion via Ensemble Control Strategies
Towards Foundation Models: Evaluation of Geoscience Artificial Intelligence with Uncertainty
Learning Latent Representations to Co-Adapt to Humans
Heuristic Predictive Control for Multi-Robot Flocking in Congested Environments
Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance
Multi-modal Semantic SLAM for Complex Dynamic Environments
GUI system for Elders/Patients in Intensive Care
Exact observability, square functions and spectral theory
Scalable orthogonal delay-division multiplexed OEO artificial neural network
Spatially Correlated multi-RIS Communication: The Effect of Inter-Operator Interference
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion
The ERA of FOLE: Superstructure
SNR Optimization for Common Emitter Amplifier
Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription
Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond
DDoS: Diffusion Distribution Similarity for Out-of-Distribution Detection
Further Constructions of AMUBs for Non-prime power Composite Dimensions
Analysis of Systems' Performance in Natural Language Processing Competitions
A Ransomware Classification Framework Based on File-Deletion and File-Encryption Attack Structures
Impact of GPU uncertainty on the training of predictive deep neural networks
Generalised probabilistic theories and conic extensions of polytopes
A Historical Analysis of the Field of OR/MS using Topic Models
Dataflow Analysis With Prophecy and History Variables
Support Vector Machine Model for Currency Crisis Discrimination
On-Policy Trust Region Policy Optimisation with Replay Buffers
Identification of information tonality based on Bayesian approach and neural networks
Memory-Assisted Universal Compression of Network Flows
CURL: Co-trained Unsupervised Representation Learning for Image Classification
CodeBERT-nt: code naturalness via CodeBERT
Optimizing Energy and Latency in 6G Smart Cities with Edge CyberTwins
Towards LLM-Based Usability Analysis for Recommender User Interfaces
Lossless Compression for LLM Tensor Incremental Snapshots
Oscillatory and Excitable Dynamics in an Opinion Model with Group Opinions
Image coding for machines: an end-to-end learned approach
ALFAA: Active Learning Fingerprint Based Anti-Aliasing for Correcting Developer Identity Errors in Version Control Data
Evolution of Gi Fi Technology Over Other Technologies
Towards Automated Petrography
Impact of Fine-Tuning Methods on Memorization in Large Language Models
Sketch-guided Cage-based 3D Gaussian Splatting Deformation
The automorphism group of a self-dual [72,36,16] code does not contain S_3, A_4, or D_8
Qualitative and Quantitative Analysis of Diversity in Cross-document Coreference Resolution Datasets
MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models
What Matters in Language Conditioned Robotic Imitation Learning
SEMT: Static-Expansion-Mesh Transformer Network Architecture for Remote Sensing Image Captioning
Effective Visualization and Analysis of Recommender Systems
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks
Conservation of the passband signal amplitude using a filter based on the Fast Fourier Transform algorithm
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation
Ordinal analysis of partial combinatory algebras
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation
PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection
Protein Inference and Protein Quantification: Two Sides of the Same Coin
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
The Impact of Quantization on Large Reasoning Model Reinforcement Learning
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
Distributed Fixed-Time Economic Dispatch under Time-Varying Topology and Uncertain Information
Advancing Residual Learning towards Powerful Deep Spiking Neural Networks
MALT: Improving Reasoning with Multi-Agent LLM Training
Prioritizing Recurrent Services
From Bytes to Bites: Using Country Specific Machine Learning Models to Predict Famine
Auto-encoders: reconstruction versus compression
Anatomy of a Stablecoin's failure: the Terra-Luna case
Information Processing by Nonlinear Phase Dynamics in Locally Connected Arrays
Computational Models for Attitude and Actions Prediction
Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix
Using matrix-product states for time-series machine learning
High Performance P300 Spellers Using GPT2 Word Prediction With Cross-Subject Training
Sensing and Navigation of Aerial Robot for Measuring Tree Location and Size in Forest Environment
An equivalence preserving transformation from the Fibonacci to the Galois NLFSRs
k-apices of minor-closed graph classes. II. Parameterized algorithms
COST CA20120 INTERACT Framework of Artificial Intelligence Based Channel Modeling
Multi-Robot Organisms: State of the Art
See the World through Network Cameras
Density-based Clustering with Best-scored Random Forest
Asymptotically optimal regret in communicating Markov decision processes