yusuke1997/dblp-id-title huggingface dataset:
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation
When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract)
In-Time Agent-Based Vehicle Routing with a Stochastic Improvement Heuristic
Mis-Classified Vector Guided Softmax Loss for Face Recognition
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract)
Lifted Generalized Dual Decomposition
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
Classification from One Class of Examples for Relational Domains
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
GraSP: Simple Yet Effective Graph Similarity Predictions
Non-Intrusive Load Monitoring Using Prior Models of General Appliance Types
Informed Initial Policies for Learning in Dec-POMDPs
Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients
AI Chef Trainer: Introducing Students to the Importance of Data in Machine Learning
LRTDP Versus UCT for Online Probabilistic Planning
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
The Tree Representation of Feasible Solutions for the TSP with Pickup and Delivery and LIFO Loading
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games
Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization
Goal Recognition Design for Non-Optimal Agents
SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning
A Novel Human Computation Game for Critique Aggregation
Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
Adding Number Restrictions to a Four-Valued Terminological Logic
A Data Source for Reasoning Embodied Agents
The Hidden Convexity of Spectral Clustering
Empirical Acquisition of Word-Sense Distinctions
Graph-Propagation Based Correlation Learning for Weakly Supervised Fine-Grained Image Classification
Robust-by-Design Classification via Unitary-Gradient Neural Networks
Nearest-Neighbor Sampling Based Conditional Independence Testing
Optimal Auctions Revisited
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
Time Series Supplier Allocation via Deep Black-Litterman Model
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance
Next POI Recommendation with Dynamic Graph and Explicit Dependency
Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL
Robustness Envelopes for Temporal Plans
Topic Modeling on Document Networks with Adjacent-Encoder
Teaching Models to Improve on Tape
Representation with Incomplete Votes
Convergence of Opinion Diffusion is PSPACE-Complete
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Metalevel Information in Ontology-Based Applications
A KNACK for Knowledge Acquisition
Teaching a Complex Industrial Process
Scalable Completion of Nonnegative Matrix with Separable Structure
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance
Clustering at the Phase Transition
Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract)
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size
Active Reinforcement Learning Strategies for Offline Policy Improvement
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization
Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation
A Parameterized Runtime Analysis of Evolutionary Algorithms for the Euclidean Traveling Salesperson Problem
Imitation of Life: A Search Engine for Biologically Inspired Design
Tactile Recognition by Probing: Identifying a Polygon on a Plane
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation
Towards Trustworthy Deep Learning
TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint)
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
Enhancing Semantic Role Labeling for Tweets Using Self-Training
Hybrid Singular Value Thresholding for Tensor Completion
Semantic Proto-Role Labeling
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract)
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
Harnessing Robust Statistics for Trustworthy AI
Extensive-Form Perfect Equilibrium Computation in Two-Player Games
Estimating Identifiable Causal Effects through Double Machine Learning
SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes
Tensorial Change Analysis Using Probabilistic Tensor Regression
Explainability in Autonomous Pedagogical Agents
Generalized Monte-Carlo Tree Search Extensions for General Game Playing
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets
PESTO: Switching Point Based Dynamic and Relative Positional Encoding for Code-Mixed Languages (Student Abstract)
Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification
Moonshine: Distilling Game Content Generators into Steerable Generative Models
Integrating Simultaneous Input from Speech, Gaze, and Hand Gestures
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
A New Federated Learning Framework Against Gradient Inversion Attacks
Content-Boosted Collaborative Filtering for Improved Recommendations
Online Transfer Learning for Differential Diagnosis Determination
ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization
General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis
Iterative Refinement of Knowledge Bases with Consistency Guarantees
Cognitive Status and Form of Reference in Multimodal Human-Computer Interaction
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
Productive Aging through Intelligent Personalized Crowdsourcing
Weakly Supervised Sequence Tagging from Noisy Rules
Mechanism Design for Multi-Type Housing Markets with Acceptable Bundles
SAT Competition 2016: Recent Developments
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression
An Analysis of Trimming in Digital Social Networks
Efficient Spectral Feature Selection with Minimum Redundancy
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification
PATRON: Perspective-Aware Multitask Model for Referring Expression Grounding Using Embodied Multimodal Cues
Detection and Classification of Motion Boundaries
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
The Impact of Literal Sorting on Cardinality Constraint Encodings
Stable Learning via Sample Reweighting
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract)
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs
Selecting Appropriate Representations for Learning from Examples
Rewarding Behaviors
Application of Knowledge Based Systems Technology to Triple Quadrupole Mass Spectrometry
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces
Information Acquisition in Diagnosis
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation
SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field
Learning Feature Interactions with Lorentzian Factorization Machine
From Streamlined Combinatorial Search to Efficient Constructive Procedures
Multi-Robot Allocation of Tasks with Temporal and Ordering Constraints
Stream Reasoning in Temporal Datalog
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation
Model Checking Temporal Logics of Knowledge in Distributed Systems
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
ModGen: Theorem Proving by Model Generation
Divide-and-Conquer Frontier Search Applied to Optimal Sequence Alignment
Ranking Scientific Articles by Exploiting Citations, Authors, Journals, and Time Information
A Novel Technique for Avoiding Plateaus of Greedy Best-First Search in Satisficing Planning
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
Frugal Bribery in Voting
Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Mapping Explanation-Based Generalization onto Soar
Querying Sequential and Concurrent Horn Transaction Logic Programs Using Tabling Techniques
BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence
A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract)
VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization
Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing
Consensus Guided Unsupervised Feature Selection
Consistency and Finite Sample Behavior of Binary Class Probability Estimation
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training
Uniform Parsing and Inferencing for Learning
Learning from Crowds by Modeling Common Confusions
Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs
Masking Orchestration: Multi-Task Pretraining for Multi-Role Dialogue Representation Learning
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective
Reward Shaping for Model-Based Bayesian Reinforcement Learning
Generating Live Soccer-Match Commentary from Play Data
Discretization of Game Space by Environment Attributes
Complementary Discrimination Learning with Decision Lists
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations
Different Cycle, Different Assignment: Diversity in Assignment Problems With Multiple Cycles
Self-Supervised Mixture-of-Experts by Uncertainty Estimation
Discovering Hotspots and Coldspots of Species Richness in eBird Data
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation
A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
Improving a Plan Library for Real-time Systems Using Nearly Orthogonal Latin Hypercube Sampling
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)
Detect or Track: Towards Cost-Effective Video Object Detection/Tracking
Risk Controlled Image Retrieval
Image-Adaptive GAN Based Reconstruction
Disco - Novo - GoGo: Integrating Local Search and Complete Search with Restarts
Complex Goal Criteria and Its Application in Design-to-Criteria Scheduling
World WordNet Database Structure: An Efficient Schema for Storing Information of WordNets of the World
RABBIT: An Intelligent Database Assistant
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
Student Modelling with Confluences
Controlled Search over Compact State Representations, in Nondeterministic Planning Domains and Beyond
Feature Sampling Based Unsupervised Semantic Clustering for Real Web Multi-View Content
Integrated Systems for Computational Scientific Discovery
Efficient Temporal Planning Using Metastates
The Interactive Museum Tour-Guide Robot
On the Max-Min Fair Stochastic Allocation of Indivisible Goods
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization
HRDoc: Dataset and Baseline Method toward Hierarchical Reconstruction of Document Structures
Genetic Search for Accurate Feature Sets
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation
GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration
Algorithm Selection for Word-Level Hardware Model Checking (Student Abstract)
Teams in Online Scheduling Polls: Game-Theoretic Aspects
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
A Word Embedding and a Josa Vector for Korean Unsupervised Semantic Role Induction
Querying Linked Ontological Data through Distributed Summarization
DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis
Quality-Based Learning for Web Data Classification
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation
Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract)
Learning Options with Interest Functions
Representation Transfer via Elaboration
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models
Combining Machine Learning Models Using combo Library
Symbolic Search for Oversubscription Planning
Reasons for Beliefs in Understanding: Applications of Non-Monotonic Dependencies to Story Processing
Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction
Finding Needles in Heterogeneous Haystacks
Neighbor Contrastive Learning on Learnable Graph Augmentation
RefNet: A Reference-Aware Network for Background Based Conversation
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
Automated Capture of Rationale for the Detailed Design Process
DTProbLog: A Decision-Theoretic Probabilistic Prolog
Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera
You Get What You Share: Incentives for a Sharing Economy
Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning
Deep Message Passing on Sets
Infusing Human Factors into Algorithmic Crowdsourcing
Hide Exposures by Removing Mastermind's External Sources on Social Network (Student Abstract)
Towards Fair, Equitable, and Efficient Peer Review
A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data
Deconvolutional Latent-Variable Model for Text Sequence Matching
On the Tractability of SHAP Explanations
A* Search via Approximate Factoring
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
Disposable Linear Bandits for Online Recommendations
SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation
Knowledge Refactoring for Inductive Program Synthesis
Evidential Conditional Neural Processes
Dude, Where's My Robot?: A Localization Challenge for Undergraduate Robotics
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning
A Theory of Debugging Plans and Interpretations
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, AAAI 98, IAAI 98, July 26-30, 1998, Madison, Wisconsin, USA
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes
Exploiting User Expertise in Answer Expression
Algebra of Modular Systems: Containment and Equivalence
Certifiable Out-of-Distribution Generalization
Beyond NP: the QSAT phase transition
Finding Optimal Solutions to Rubik's Cube Using Pattern Databases
VecLP: A Realtime Video Recommendation System for Live TV Programs
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
Domain-Dependent Parameter Selection of Search-based Algorithms Compatible with User Performance Criteria
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
Horizontal Scaling With a Framework for Providing AI Solutions Within a Game Company
Enhancing Predictive Healthcare Using AI-Driven Early Warning Systems
Enhancing Counterfactual Classification Performance via Self-Training
Vision-guided Text Mining for Unsupervised Cross-modal Hashing with Community Similarity Quantization
On the Reasoning Patterns of Agents in Games
Detection of Money Laundering Groups: Supervised Learning on Small Networks
Learning from Demonstration for Goal-Driven Autonomy
Projection-Free Bandit Optimization with Privacy Guarantees
Strategic Facility Location with Clients That Minimize Total Waiting Time
Value Compression of Pattern Databases
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
3-D Motion Recovery From Time-Varying Optical Flows
FRM: An Intelligent Assistant for Financial Resource Management
Two-Player Game Structures for Generalized Planning and Agent Composition
Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales
An Expert System for Interpreting Speech Patterns
Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata India
COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment
Temporal Action Localization with Cross Layer Task Decoupling and Refinement
Explainable Earnings Call Representation Learning (Student Abstract)
Knowledge Graph Prompting for Multi-Document Question Answering
m-Transportability: Transportability of a Causal Effect from Multiple Environments
AI Explainability 360: Impact and Design
Online Action Recognition
Leveraging Social Foci for Information Seeking in Social Media
Adaptive User Interfaces through Dynamic Design Automation
Generalized Zero-Shot Learning via Disentangled Representation
Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
Integrating Local Search and Network Flow to Solve the Inventory Routing Problem
Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier
Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation
Supersparse Linear Integer Models for Predictive Scoring Systems
Partial-Revelation VCG Mechanism for Combinatorial Auctions
Knowledge-Aware Explainable Reciprocal Recommendation
Bio-Inspired Adversarial Attack Against Deep Neural Networks
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition
Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling
Vector Quantized Bayesian Neural Network Inference for Data Streams
Trust Transitivity in Complex Social Networks
Gene Selection in Microarray Datasets Using Progressively Refined PSO Scheme
Sequence Labeling with Non-Negative Weighted Higher Order Features
The Autonomous Sciencecraft Experiment Onboard the EO-1 Spacecraft
Towards an Argumentation System for Supporting Patients in Self-Managing Their Chronic Conditions
Efficient Concept Induction for Description Logics
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning
Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction
Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language
Dual Frames: A New Tool for Semantic Parsing
Model-Based Image Signal Processors via Learnable Dictionaries
Evidential Reasoning Using DELEF
On the Minimality and Decomposability of Constraint Networks
A Generic Customizable Framework for Inverse Local Consistency
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
Self-Explanatory Simulations: An Integration of Qualitative and Quantitative Knowledge
Intelligently Aiding Human-Guided Correction of Speech Recognition
A Case Study of AI Application on Language Instruction: CSIEC
The Construction of Reality in a Cognitive System
Assessing a Single Image in Reference-Guided Image Synthesis
Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval
Creating Dynamic Story Plots with Continual Multiagent Planning
Scalable Optimal Multiway-Split Decision Trees with Constraints
Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data
Learning Efficient Representations for Fake Speech Detection
Active Lifelong Learning With "Watchdog"
Revealing the Blackmarket Retweet Game: A Hybrid Approach
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping
Adaptive Dynamic Filtering Network for Image Denoising
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting
Towards Reliable Learning for High Stakes Applications
FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework
On Proving Laws of the Algebra of FP-Systems in Edinburgh LCF
An Application View of COORDINATORS: Coordination Managers for First Responders
AMRec: An Intelligent System for Academic Method Recommendation
Learning Bayesian Networks from Incomplete Data
Modular Answer Set Solving
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Parsing a Natural Language Using Mutual Information Statistics
A New Framework for Sensor Interpretation: Planning to Resolve Sources of Uncertainty
GLDL: Graph Label Distribution Learning
Parallel Greedy Best-First Search with a Bound on Expansions Relative to Sequential Search
Representing and Computing Temporally Scoped Beliefs
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
Detecting Redundant Production Rules
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving
Story Generation with Crowdsourced Plot Graphs
A Proof-Producing CSP Solver
Making Adversarial Examples More Transferable and Indistinguishable
Visual Scene Interpretation as a Dialogue between Vision and Language