yusuke1997/dblp-id-title huggingface dataset:
Controllable 3D Face Generation with Conditional Style Code Diffusion
Gender-Sensitive Automated Negotiators
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks
DiffusionTrack: Diffusion Model for Multi-Object Tracking
On the Masking Effect
Indoor Aerial Robot Competition: Challenges in Search and Rescue Applications
Segment Any 3D Gaussians
GENO - Optimization for Classical Machine Learning Made Fast and Easy
Toward an Intelligent Agent Flamework for Enterprise Integration
Gromov-Wasserstein Factorization Models for Graph Clustering
Flexible Strategy Learning: Analogical Replay of Problem Solving Episodes
Protecting the Protected Group: Circumventing Harmful Fairness
Minimal Undefinedness for Fuzzy Answer Sets
Artificial Conversational Companions
Robotic Self-Models Inspired by Human Development
Representing Verbs as Argument Concepts
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting
Adabot: Fault-Tolerant Java Decompiler (Student Abstract)
Mining EL Bases with Adaptable Role Depth
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
VELDA: Relating an Image Tweet's Text and Images
Multiplex Graph Representation Learning with Homophily and Consistency
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Throwing Darts: Random Sampling Helps Tree Search when the Number of Short Certificates is Moderate
Monitoring Safety of Autonomous Vehicles with Crash Prediction Networks
Extending Biology Models with Deep NLP over Scientific Articles
Cross-Covariate Gait Recognition: A Benchmark
Language-Guided Transformer for Federated Multi-Label Classification
Consistency-GAN: Training GANs with Consistency Model
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network
Incremental Least Squares Policy Iteration for POMDPs
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
Spectral Label Refinement for Noisy and Missing Text Labels
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices
Infer Human's Intentions Before Following Natural Language Instructions
GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews
Event-Enhanced Blurry Video Super-Resolution
Region-aware Difference Distilling with Attribute-guided Contrastive Regularization for Change Captioning
Boosting Image De-Raining via Central-Surrounding Synergistic Convolution
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition
Query Translation Disambiguation as Graph Partitioning
Reinforcement Learning under Threats
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning
Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract)
Multi-Mask Label Mapping for Prompt-Based Learning
Preparing High School Teachers to Integrate AI Methods into STEM Classrooms
An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation
Participatory Budgeting Designs for the Real World
Constraint-Based Random Stimuli Generation for Hardware Verification
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
A Knowledge Based Design System for Digital Electronics
A Computable Definition of the Spectral Bias
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
Fast Lasso Algorithm via Selective Coordinate Descent
Multi-Winner Contests for Strategic Diffusion in Social Networks
Policy Learning for Continuous Space Security Games Using Neural Networks
R* Search
Scalable and Generalizable Social Bot Detection through Data Selection
Generating Feasible Schedules under Complex Metric Constraints
The Validity of Providing Automated Hints in an ITS Using a MDP
Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
FLAME: A Small Language Model for Spreadsheet Formulas
SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering
Expressive Negotiation in Settings with Externalities
Semi-Supervised Bayesian Attribute Learning for Person Re-Identification
Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract)
Incremental Learning Framework for Indoor Scene Recognition
Recursively Binary Modification Model for Nested Named Entity Recognition
Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments
Data Augmentation Approaches for Satellite Imagery
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
Panel: Knowledge Representation Meets Knowledge Acquisition: What Are the Needs and Where Is the Leverage?
An Algorithm to Evaluate Quantified Boolean Formulae
A Network-Specific Markov Random Field Approach to Community Detection
Modeling Argumentation and Explanation in the Social Web
DocEdit: Language-Guided Document Editing
Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation
Revisiting Attention for Multivariate Time Series Forecasting
Discovering Life Cycle Assessment Trees from Impact Factor Databases
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems
Structure and Intractability of Optimal Multi-Robot Path Planning on Graphs
Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching
Better and Faster: Adaptive Event Conversion for Event-Based Object Detection
O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model
Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces
GTNet: Generative Transfer Network for Zero-Shot Object Detection
Learning by Combining Observations and User Edits
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation
An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
VRU Pose-SSD: Multiperson Pose Estimation For Automated Driving
Generating Perception Requests and Expectations to Verify the Execution of Plans
Chess as a Testbed for Language Model State Tracking
Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations
Visual Boundary Knowledge Translation for Foreground Segmentation
GSO-Net: Grid Surface Optimization via Learning Geometric Constraints
All They Know About
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields
Conflicting Interactions among Protection Mechanisms for Machine Learning Models
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Embedding Heterogeneous Data Using Statistical Models
Text2Data: Low-Resource Data Generation with Textual Control
Learning a Hybrid Architecture for Sequence Regression and Annotation
Causal Theories of Action and Change
On the Effectiveness of Curriculum Learning in Educational Text Scoring
A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming
TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract)
SlerpFace: Face Template Protection via Spherical Linear Interpolation
Learning to Identify Reduced Passive Verb Phrases with a Shallow Parser
Setting up Large-Scale Qualitative Models
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract)
The l2, 1-Norm Stacked Robust Autoencoders for Domain Adaptation
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset
Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games
Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners)
ImageNet Pre-training Also Transfers Non-robustness
Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction
Universal Information Extraction as Unified Semantic Matching
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
Predictive Adversarial Learning from Positive and Unlabeled Data
HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning
On Geometric Alignment in Low Doubling Dimension
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection
Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate
BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs
How to Print a File: An Expert System Approach to Software Knowledge Representation
Manifold Integration with Markov Random Walks
Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction
Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone
Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation
Tensor-Based Learning for Predicting Stock Movements
Neural Policy Safety Verification via Predicate Abstraction: CEGAR
Deformable Graph Convolutional Networks
Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network
Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval
Generalized Features: Their Application to Classification
Using Automated Agents to Teach Negotiation
Idiomatic Expression Paraphrasing without Strong Supervision
Statistically Principled Deep Learning for SAR Image Segmentation
Initial Experiments in Stochastic Satisfiability
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset
Webly-Supervised Learning of Multimodal Video Detectors
Boosting Expert Ensembles for Rapid Concept Recall
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Better Fine-Tuning via Instance Weighting for Text Classification
Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer
Dimension Reduction with Locally Adjusted Graphs
Piecewise Linear Transformation - Propagating Aleatoric Uncertainty in Neural Networks
Device Fabrication Knowledge Extraction from Materials Science Literature
Jointly Multiple Hash Learning
Optimal Planning Strategy for Ambush Avoidance
Kajibuntan: A House Chore Division App
Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
Towards J.A.R.V.I.S. for Software Engineering: Lessons Learned in Implementing a Natural Language Chat Interface
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning
A Submodular Optimization Approach to Accountable Loan Approval
Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition
Peer Collaborative Learning for Online Knowledge Distillation
Maintainability: A Weaker Stabilizability Like Notion for High Level Control
Bimodal Spatial Reasoning with Continuous Motion
Neural Machine Translation with Reconstruction
R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion
Exploiting the Structure of Distributed Constraint Optimization Problems
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures
On the Value of Using Group Discounts under Price Competition
A Parallel Asynchronous Distributed Production System
Named Entity Recognition in Travel-Related Search Queries
Flexibility Meets Variability: A Multiagent Constraint Based Approach for Incorporating Renewables into the Power Grid
Clickthrough Log Analysis by Collaborative Ranking
Efficient Robot Learning via Interaction with Humans
ConditionVideo: Training-Free Condition-Guided Video Generation
Generating Quasi-symbolic Representation of Three-Dimensional Flow
Further Understanding Videos through Adverbs: A New Video Task
MathAttack: Attacking Large Language Models towards Math Solving Ability
Learning Hybrid Models with Guarded Transitions
Formulating Concepts According to Purpose
Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising
Fast and Accurate Prediction of Sentence Specificity
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization
Structure Balance and Gradient Matching-Based Signed Graph Condensation
Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation
Cooperative Learning over Composite Search Spaces: Experiences with a Multi-Agent Design System
IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations
Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination
Abstract Rule Based Pattern Learning with Neural Networks
Learning from Weak-Label Data: A Deep Forest Expedition
Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding
Representing and Using Procedural Knowledge to Build Geometry Proofs
PhotoSlap: A Multi-player Online Game for Semantic Annotation
RANSAC versus CS-RANSAC
Revisiting Projection-Free Online Learning with Time-Varying Constraints
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation
Adversarial and Cooperative Correlated Domain Adaptation based Multimodal Emotion Recognition
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
Detecting Human-Object Interactions via Functional Generalization
Bottom-Up Demand Response by Following Local Energy Generation Voluntarily
Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition
Can LLM Replace Stack Overflow? A Study on Robustness and Reliability of Large Language Model Code Generation
Rendering-Aware HDR Environment Map Prediction from a Single Image
Generalization in Mean Field Games by Learning Master Policies
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
Clustering and Classifying Person Names by Origin
Topic-Aware Multi-turn Dialogue Modeling
Phenomenologically Plausible Parsing
Understanding Microtargeting Pattern on Social Media
TRENDNERT: A Benchmark for Trend and Downtrend Detection in a Scientific Domain
Policy Reuse in Deep Reinforcement Learning
Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints
Efficient Image Captioning for Edge Devices
TacTex-05: A Champion Supply Chain Management Agent
Imbalanced Label Distribution Learning
On the Containment of SPARQL Queries under Entailment Regimes
Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models
Translating Pro-Drop Languages With Reconstruction Models
Approximate Policy Iteration with Linear Action Models
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning
Stylized Dialogue Response Generation Using Stylized Unpaired Texts
Testable Implications of Linear Structural Equation Models
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL
Inverse Reinforcement Learning From Like-Minded Teachers
Comparative Experiments on Sentiment Classification for Online Product Reviews
A Representation for Image Curves
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Geospatial Clustering for Balanced and Proximal Schools
Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
Combining Ontology Class Expression Generation with Mathematical Modeling for Ontology Learning
High-Order Residual Network for Light Field Super-Resolution
Automated Accompaniment of Musical Ensembles
Adaptive Spatio-Temporal Exploratory Models: Hemisphere-wide species distributions from massively crowdsourced eBird data
How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation
Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps
Detecting Neighborhood Gentrification at Scale via Street Views and POIs (Student Abstract)
Rethinking Pseudo Labels for Semi-supervised Object Detection
On Designing a Social Coach to Promote Regular Aerobic Exercise
Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness
Learning Conditional Generative Models for Temporal Point Processes
A Structure Based Configuration Tool: Drive Solution Designer - DSD
A Unification of Extensive-Form Games and Markov Decision Processes
Neural Piecewise-Constant Delay Differential Equations
Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives
When CEGAR Meets Regression: A Love Story in Optimal Classical Planning
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing
Rejection Sampling for Weighted Jaccard Similarity Revisited
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies
Scalable and Interpretable Data Representation for High-Dimensional, Complex Data
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering
MMA: Multi-Camera Based Global Motion Averaging
Selecting Sequences of Items via Submodular Maximization
Reward (Mis)design for Autonomous Driving (Abstract Reprint)
A*+BFHS: A Hybrid Heuristic Search Algorithm
Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence
Learning to Model Opponent Learning (Student Abstract)
Looking for the AI in Software Engineering: An Applications Perspective
An Overview of Meta-Level Architecture
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms
Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint
MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification
VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting
Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network
On the Prospects for Building a Working Model of the Visual Cortex
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints
Multi-View Collaborative Learning Network for Speech Deepfake Detection
The Complexity of Proportionality Degree in Committee Elections
What Does Knowledge Representation Have to Say to Artificial Intelligence?
Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs
Feature Denoising Diffusion Model for Blind Image Quality Assessment
Representing Conditional Independence Using Decision Trees
A Self-Supervised Mixed-Curvature Graph Neural Network
Decomposing Activities of Daily Living to Discover Routine Clusters
TEACh: Task-Driven Embodied Agents That Chat
Flow-Based Unconstrained Lip to Speech Generation
CommNets: Communicating Neural Network Architectures for Resource Constrained Systems
Keyphrase Extraction with Sequential Pattern Mining
The Clarke Tax as a Consensus Mechanism Among Automated Agents
Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
Interpretive Vision and Restriction Graphs
User Driven Model Adjustment via Boolean Rule Explanations
RevMan: Revenue-aware Multi-task Online Insurance Recommendation
BAR - A Reinforcement Learning Agent for Bounding-Box Automated Refinement
Complexity of Abstract Argumentation under a Claim-Centric View
A Connectionist Framework for Reasoning: Reasoning with Examples
Neural Cross-Lingual Entity Linking
Keeping in Touch: Maintaining Biconnected Structure by Homogeneous Robots
Automated Learning of Pricing and Bundling Strategies in Information Economies
Deciding the Loosely Guarded Fragment and Querying Its Horn Fragment Using Resolution
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Constructive Geometric Constraint Solving as a General Framework for KR-Based Declarative Spatial Reasoning
Characterizing Performance of Consistency Algorithms by Algorithm Configuration of Random CSP Generators
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network
Capture Global Feature Statistics for One-Shot Federated Learning
Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation
DENet: Disentangled Embedding Network for Visible Watermark Removal
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments
Neural Physical Simulation with Multi-Resolution Hash Grid Encoding
What Are the Rules? Discovering Constraints from Data
Fine-Tuning Language Models with Collaborative and Semantic Experts
Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
Algorithms for Rationalizability and CURB Sets
Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation
Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment
Video Object Detection with Locally-Weighted Deformable Neighbors
Efficient Model-Based Diagnosis of Sequential Circuits
Does VLM Classification Benefit from LLM Description Semantics?
DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views