yusuke1997/dblp-id-title huggingface dataset:
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
Improving LSTM-CTC based ASR performance in domains with limited training data
Measuring Utility and Privacy of Synthetic Genomic Data
Pretrained equivariant features improve unsupervised landmark discovery
Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation
On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning
Auto-Encoder based Co-Training Multi-View Representation Learning
MSnet: A BERT-based Network for Gendered Pronoun Resolution
An ERP Implementation Method : Studying a Pharmaceutical Company
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
Error-Correcting Codes on Projective Bundles over Deligne-Lusztig varieties
News Verifiers Showdown: A Comparative Performance Evaluation of ChatGPT 3.5, ChatGPT 4.0, Bing AI, and Bard in News Fact-Checking
Computer-Aided Multi-Stroke Character Simplification by Stroke Removal
Design Thinking and Creativity of Co-located vs. Globally Distributed Software Developers
Learning MRI Artifact Removal With Unpaired Data
Gerrymandering and Compactness: Implementation Flexibility and Abuse
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)
Resource Availability in the Social Cloud: An Economics Perspective
Scaling with Collapse: Efficient and Predictable Training of LLM Families
Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement
Entropy under disintegrations
Saflo: eBPF-Based MPTCP Scheduler for Mitigating Traffic Analysis Attacks in Cellular Networks
Finite size corrections for neural network Gaussian processes
Achievable Rate and Optimal Physical Layer Rate Allocation in Interference-Free Wireless Networks
Modern Methods in Associative Memory
Approximate Minimum Sum Colorings and Maximum k -Colorable Subgraphs of Chordal Graphs
The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task
Long-span language modeling for speech recognition
Sparse Representations of Positive Functions via Projected Pseudo-Mirror Descent
Detecting Errors in Spreadsheets
Control of nonlinear switched systems based on validated simulation
Re-Initialization Token Learning for Tool-Augmented Large Language Models
Analysis of a mixed finite element method for stochastic Cahn-Hilliard equation with multiplicative noise
A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms
Sparse Identification of Nonlinear Dynamics-based Model Predictive Control for Multirotor Collision Avoidance
Rethinking Hate Speech Detection on Social Media: Can LLMs Replace Traditional Models?
A Semantic Model for Interacting Cyber-Physical Systems
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
Privacy Risks of Robot Vision: A User Study on Image Modalities and Resolution
A self-organizing multi-agent system for distributed voltage regulation
Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War
StateSpace-SSL: Linear-Time Self-supervised Learning for Plant Disease Detection
Lyapunov-Based Physics-Informed Deep Neural Networks with Skew Symmetry Considerations
Segmentation Guided Deep HDR Deghosting
Super-resolution Variational Auto-Encoders
Bounded-oscillation Pushdown Automata
diff History for Long-Context Language Agents
The Fundamental Problem with the Building Block Hypothesis
Reduced-Latency SC Polar Decoder Architectures
Assessing the Completeness of Traffic Scenario Categories for Automated Highway Driving Functions via Cluster-based Analysis
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis
Exploring The Missing Semantics In Event Modality
Synthesis and Optimization of Multi-Objective Multi-Output QCA Circuit using Genetic Algorithm
Dynamics Models in the Aggressive Off-Road Driving Regime
Modeling Cooperation for SDN and NFV-Based Resilient Cyber-Physical Systems
A Cocktail-Party Benchmark: Multi-Modal dataset and Comparative Evaluation Results
Rationality and connectivity in stochastic learning for networked coordination games
ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models
DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy
Decentralized Cooperation in Heterogeneous Multi-Agent Reinforcement Learning via Graph Neural Network-Based Intrinsic Motivation
A Deep Architecture for Semantic Parsing
FIRST: FrontrunnIng Resilient Smart ConTracts
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
Leveraging Large Language Models to Democratize Access to Costly Financial Datasets for Academic Research
Unsupervised Multi-Source Federated Domain Adaptation under Domain Diversity through Group-Wise Discrepancy Minimization
Impact-aware humanoid robot motion generation with a quadratic optimization controller
AI Mobile Application for Archaeological Dating of Bronze Dings
Minimum Throughput Maximization in UAV-Aided Wireless Powered Communication Networks
Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
Simpler Self-reduction Algorithm for Matroid Path-width
An Exact Mapping From ReLU Networks to Spiking Neural Networks
Gen-3Diffusion: Realistic Image-to-3D Generation via 2D & 3D Diffusion Synergy
An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering
Tensor-based Collaborative Filtering With Smooth Ratings Scale
Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET
ChemDFM-X: Towards Large Multimodal Model for Chemistry
Verifying Tight Logic Programs with anthem and Vampire
TopoDiT-3D: Topology-Aware Diffusion Transformer with Bottleneck Structure for 3D Point Cloud Generation
DC-Former: Diverse and Compact Transformer for Person Re-Identification
Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques
Subtour Elimination Constraints Imply a Matrix-Tree Theorem SDP Constraint for the TSP
Perceptual Experience Analysis for Tone-mapped HDR Videos based on EEG and Peripheral Physiological Signals
Forbidding Edges between Points in the Plane to Disconnect the Triangulation Flip Graph
Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph
Stochastic Gradient Line Bayesian Optimization: Reducing Measurement Shots in Optimizing Parameterized Quantum Circuits
Quantum Formulas: a Lower Bound and Simulation
Large Deviation Analysis for the Reverse Shannon Theorem
FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints
Green Cell-less Design for RF-Wireless Power Transfer Networks
Automatic verification of heap-manipulating programs
On Second-Order Monadic Monoidal and Groupoidal Quantifiers
Character-Centric Story Visualization via Visual Planning and Token Alignment
Low-rank Kernel Learning for Graph-based Clustering
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation
Application Management in C-ITS: Orchestrating Demand-Driven Deployments and Reconfigurations
Automated Training of Learned Database Components with Generative AI
eBPF-Based Real-Time DDoS Mitigation for IoT Edge Devices
LSM-2: Learning from Incomplete Wearable Sensor Data
Long-Distance Loop Closure Using General Object Landmarks
The adaptation of Shamir's protocol for increasing the security of a mobile environment
Guiding Diffusion-Based Articulated Object Generation by Partial Point Cloud Alignment and Physical Plausibility Constraints
Mixing Complexity and its Applications to Neural Networks
Energy-aware Traffic Engineering in Hybrid SDN/IP Backbone Networks
Bootstrapping LLMs via Preference-Based Policy Optimization
Multiplicative Modular Nim (MuM)
On Bias and Fairness in NLP: How to have a fairer text classification?
Avoiding Squares and Overlaps Over the Natural Numbers
An Approach to Joint Hybrid Decision Making between Humans and Artificial Intelligence
Towards VQA Models that can Read
Learning Representations for Predicting Future Activities
On the Apparent Conflict Between Individual and Group Fairness
PickLLM: Context-Aware RL-Assisted Large Language Model Routing
Low Latency Communications
Privacy-preserving Average Consensus: Privacy Analysis and Optimal Algorithm Design
Multi-RATs Support to Improve V2X Communication
Randomized O ~ (m√n) Bellman-Ford from Fineman and the Boilermakers
Can LLMs Address Mental Health Questions? A Comparison with Human Therapists
PID-EVOA: Tuning PID Controller Parameter Optimzation based on the Habits of the Egyptian Vulture
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models
Efficient Monte Carlo and greedy heuristic for the inference of stochastic block models
Methodology to analyze the accuracy of 3D objects reconstructed with collaborative robot based monocular LSD-SLAM
SpellForger: Prompting Custom Spell Properties In-Game using BERT supervised-trained model
Demand-driven provisioning of Kubernetes-like resources in OSG
A Convolutional Framework for Mapping Imagined Auditory MEG into Listened Brain Responses
Examining the Effect of Pre-training on Time Series Classification
Consistency Management of Normal Logic Program by Top-down Abductive Proof Procedure
Signal Processing Meets SGD: From Momentum to Filter
How to monitor and mitigate stair-casing in l1 trend filtering
Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft
Actively Tracking the Optimal Arm in Non-Stationary Environments with Mandatory Probing
The robust way to stack and bag: the local Lipschitz way
Methods for Increasing the Resistance of Cryptographic Designs against Horizontal DPA Attacks
Sequence Types and Infinitary Semantics
Decentralized Vision-Based Autonomous Aerial Wildlife Monitoring
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl
Generative Learning of Differentiable Object Models for Compositional Interpretation of Complex Scenes
L'explicabilité au service de l'extraction de connaissances : application à des données médicales
An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving
Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices
On Affine Logic and Łukasiewicz Logic
The Silence that Speaks: Neural Estimation via Communication Gaps
How Age Influences the Interpretation of Emotional Body Language in Humanoid Robots - long paper version
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding
An Augmented Lagrangian Approach to Conically Constrained Non-monotone Variational Inequality Problems
GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion
A Framework for Multiscale Transforms on Graphs
On Measuring and Quantifying Performance: Error Rates, Surrogate Loss, and an Example in SSL
A New Formula for the Minimum Distance of an Expander Code
Trainable Weight Averaging for Fast Convergence and Better Generalization
CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society
Gradient-Based Neuroplastic Adaptation for Concurrent Optimization of Neuro-Fuzzy Networks
AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning
Integrated Artificial Neurons from Metal Halide Perovskites
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra
Deconfounding to Explanation Evaluation in Graph Neural Networks
Variantional autoencoder with decremental information bottleneck for disentanglement
Dynamic graph neural networks for enhanced volatility prediction in financial markets
MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization
Power Allocation for Multi-Pair Massive MIMO Two-Way AF Relaying with Robust Linear Processing
BioSig - An application of Octave
A multi-view contrastive learning framework for spatial embeddings in risk modelling
Approximate Multiplier Induced Error Propagation in Deep Neural Networks
Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering
Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation
GenPTW: In-Generation Image Watermarking for Provenance Tracing and Tamper Localization
Energy Complexity for Sorting Algorithms in Java
A New k-Space Model for Non-Cartesian Fourier Imaging
A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation
Meta Dropout: Learning to Perturb Features for Generalization
Data Efficient Training of a U-Net Based Architecture for Structured Documents Localization
Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches
Level Planarity Is More Difficult Than We Thought
Considerations for Eye Tracking Experiments in Information Retrieval
When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
Track and Caption Any Motion: Query-Free Motion Discovery and Description in Videos
When and Why Momentum Accelerates SGD: An Empirical Study
Online Prefetching for Mobile Computation Offloading
REL: Working out is all you need
Asynchronous Programming in a Prioritized Form
Predicting Consumer Default: A Deep Learning Approach
Cramer Rao-Type Bounds for Sparse Bayesian Learning
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Boostrapping
Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation
Symbolic Reasoning for Automatic Signal Placement (Extended Version)
Deepfake audio as a data augmentation technique for training automatic speech to text transcription models
Nonparametric Linear Feature Learning in Regression Through Regularisation
Splitting matters: how monotone transformation of predictor variables may improve the predictions of decision tree models
Theory and Algorithms for Partial Order Based Reduction in Planning
Exponentially Twisted Sampling: a Unified Approach for Centrality Analysis in Attributed Networks
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening
Geocoding of trees from street addresses and street-level images
Learning Hand-Held Object Reconstruction from In-The-Wild Videos
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
Machine Learning-based Early Attack Detection Using Open RAN Intelligent Controller
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
A Disguised Wolf Is More Harmful Than a Toothless Tiger: Adaptive Malicious Code Injection Backdoor Attack Leveraging User Behavior as Triggers
PSPACE has 2-round quantum interactive proof systems
A Novel Approach to Analyze Fashion Digital Archive from Humanities
Joint Power Allocation for Energy Harvesting and Power Superposition Coding in Cooperative Spectrum Sharing
Separating signal from noise
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs
CReMa: Crisis Response through Computational Identification and Matching of Cross-Lingual Requests and Offers Shared on Social Media
An Algebraic Dexter-Based Hypertext Reference Model
Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization
Semiparametric correction for endogenous truncation bias with Vox Populi based participation decision
Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations
Orchestrated Couplings: A Time-Varying Edge Weight Framework for Efficient Event-Triggered Multiagent Networks
Improving device-independent weak coin flipping protocols
Lipschitz standardization for robust multivariate learning
Ensemble-based Hybrid Optimization of Bayesian Neural Networks and Traditional Machine Learning Algorithms
Confidence Driven Classification of Application Types in the Presence of Background Network
Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation
ESVIO: Event-based Stereo Visual Inertial Odometry
Approximating the pth Root by Composite Rational Functions
Extractive approach for text summarisation using graphs
Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings
OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning
A Hybrid Sampling and Multi-Objective Optimization Approach for Enhanced Software Defect Prediction
Capacitive storage in mycelium substrate
Scalable Quantum Convolutional Neural Networks
Blockchain Services for Digital Government: An Exploration of NFT Applications in the Metaverse
Towards a General Software Engineering Methodology for the Internet of Things
From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models
Exploring Complexity: An Extended Study of Formal Properties for Process Model Complexity Measures
Proof complexity of systems of (non-deterministic) decision trees and branching programs
Robust Adaptive Data-Driven Control of Positive Systems with Application to Learning in SSP Problems
TNT: Target-driveN Trajectory Prediction
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection
Multi-Layer Perceptrons and Symbolic Data
Fractional spectral graph wavelets and their applications
Intention Enhanced Diffusion Model for Multimodal Pedestrian Trajectory Prediction
Preliminary Report: Enhancing Role Differentiation in Conversational HCI Through Chromostereopsis
The Free-play Sandbox: a Methodology for the Evaluation of Social Robotics and a Dataset of Social Interactions
Optimal orthogonal approximations to symmetric tensors cannot always be chosen symmetric
A Douglas-Rachford Splitting Method for Solving Monotone Variational Inequalities in Linear-quadratic Dynamic Games
Saliency Methods for Explaining Adversarial Attacks
Going beyond communication intensity for estimating tie strengths in social networks
Hardware-Efficient CNNs: Interleaved Approximate FP32 Multipliers for Kernel Computation
A Design of Paraunitary Polyphase Matrices of Rational Filter Banks Based on (P,Q) Shift-Invariant Systems
Tight Lower Bounds on the Bandwidth Cost of MDS Convertible Codes in the Split Regime
Active Learning for GCN-based Action Recognition
Designing and Testing Temporally Connected Graphs
Generation and Distribution of Quantum Oblivious Keys for Secure Multiparty Computation
On Some Entertaining Applications of the Concept of Set in Computer Science Course
Neural empirical interpolation method for nonlinear model reduction
Face Age Progression With Attribute Manipulation
Exploring and Analyzing the Effect of Avatar's Realism on Anxiety of English as Second Language (ESL) Speakers
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion
Transceiver Design at Relay and Destination for Dual-Hop Non-regenerative MIMO-OFDM Relay Systems Under Channel Uncertainties
Mobile AR Depth Estimation: Challenges & Prospects - Extended Version
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
The Hypervolume Indicator: Problems and Algorithms
Deblur-Avatar: Animatable Avatars from Motion-Blurred Monocular Videos
Improving Trace Link Recommendation by Using Non-Isotropic Distances and Combinations
A necessary and sufficient condition for a graph $G$, which satisfies the equality $μ_{21}(G)=|V(G)|$
Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning
Gradient based reachability analysis for goal-oriented guidance. Application to Eros proximity operations
Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization
A Simulation-Based Framework for Leveraging Shared Autonomous Vehicles to Enhance Disaster Evacuations in Rural Regions with a Focus on Vulnerable Populations
Mobility-Aware Caching for Content-Centric Wireless Networks: Modeling and Methodology
Deep Learning with a Classifier System: Initial Results
A two level method for isogeometric discretizations
A Central Limit Theorem, Loss Aversion and Multi-Armed Bandits
Learning Robust Intervention Representations with Delta Embeddings
HOSCF: Efficient decoupling algorithms for finding the best rank-one approximation of higher-order tensors
Spatiotemporal Transformer for Imputing Sparse Data: A Deep Learning Approach
Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality
DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions
On seat allocation problem with multiple merit lists
Robust Matrix Completion with Mixed Data Types
Multi-factor Physical Layer Security Authentication in Short Blocklength Communication
Efficient Bit Labeling in Factorization Machines with Annealing for Traveling Salesman Problem
Achieving the Capacity of the N-Relay Gaussian Diamond Network Within log N Bits
UniModel: A Visual-Only Framework for Unified Multimodal Understanding and Generation
Membership Inference Attacks on Sequence-to-Sequence Models
Camera Calibration: a USU Implementation
Computing Entity Semantic Similarity by Features Ranking
The hull variation problem for projective Reed-Muller codes and quantum error-correcting codes
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN
Computational Social Science and Critical Studies of Education and Technology: An Improbable Combination?
DP-Adam-AC: Privacy-preserving Fine-Tuning of Localizable Language Models Using Adam Optimization with Adaptive Clipping
Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification
Towards out-of-distribution generalization in large-scale astronomical surveys: robust networks learn similar representations
Computational Design of Magnetic Soft Shape-Forming Catheters using the Material Point Method
Multi-Voltage and Level-Shifter Assignment Driven Floorplanning
Label-Efficient Skeleton-based Recognition with Stable-Invertible Graph Convolutional Networks
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars
The linear hidden subset problem for the (1+1) EA with scheduled and adaptive mutation rates
The Laser-Diode Heated Floating Zone Method for Automated Optimal Synthesis of Refractory Oxides and Alloys
Stop-N-Go: Search-based Conflict Resolution for Motion Planning of Multiple Robotic Manipulators
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification
Weightless: Lossy Weight Encoding For Deep Neural Network Compression
A Survey on Semantic Parsing from the perspective of Compositionality
CEKER: A Generalizable LLM Framework for Literature Analysis with a Case Study in Unikernel Security
Approximation of LRU Caches Miss Rate: Application to Power-law Popularities
Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation
Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding
FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning