yusuke1997/dblp-id-title huggingface dataset:
Screening for Depressed Individuals by Using Multimodal Social Media Data
A Framework for Distributed Problem Solving
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion
Building Compositional Robot Autonomy with Modularity and Abstraction
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
A Framework for Engineering Human/Agent Teaming Systems
Lifelong Spectral Clustering
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation
NewsPanda: Media Monitoring for Timely Conservation Action
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
Transportable Representations for Domain Generalization
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
Object Detection Based on Region Decomposition and Assembly
DPAUC: Differentially Private AUC Computation in Federated Learning
Consensual Affine Transformations for Partial Valuation Aggregation
Failure-Resistant Intelligent Interaction for Reliable Human-AI Collaboration
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation
Scalable Learning for Structure in Markov Logic Networks
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
Practical Markov Boundary Learning without Strong Assumptions
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method
When Is Constrained Clustering Beneficial, and Why?
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract)
Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract)
How to Calibrate the Scores of Biased Reviewers by Quadratic Programming
Detecting and Eliminating the Cascade Vulnerability Problem from Multilevel Security Networks Using Soft Constraints
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes
Human-in-the-loop Learning for Safe Exploration through Anomaly Prediction and Intervention
Enhancing Detection of Relationship Abuse in Text with Multi-task Learning (Student Abstract)
Distributed Constraint Optimization and Its Application to Multiagent Resource Allocation
Multitask Generalized Eigenvalue Program
It Takes (Only) Two: Adversarial Generator-Encoder Networks
Knowledge Base Revision through Exception-driven Discovery and Learning
Scalable First-Order Methods for Robust MDPs
Shape from Darkness: Deriving Surface Information from Dynamic Shadows
LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs
Regression under Human Assistance
Distributed Manifold Hashing for Image Set Classification and Retrieval
A General Framework for Representing and Reasoning with Annotated Semantic Web Data
Getting the Envisionment Right
Activity Image-to-Video Retrieval by Disentangling Appearance and Motion
New Interpretations of Normalization Methods in Deep Learning
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding
Multiagent Decision Making For Maritime Traffic Management
Semantic Interpretation of Social Network Communities
Order Matters: Semantic-Aware Neural Networks for Binary Code Similarity Detection
Centerless Multi-View K-means Based on the Adjacency Matrix
Search Reduction in Hierarchical Problem Solving
Backward Responsibility in Transition Systems Using General Power Indices
Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period
SAT-to-SAT: Declarative Extension of SAT Solvers with New Propagators
A Method for Enhancing Generalization of Adam by Multiple Integrations
Bidirectional Human-AI Learning in Real-Time Disoriented Balancing
Constructing Models of User and Task Characteristics from Eye Gaze Data for User-Adaptive Information Highlighting
An Efficient Heuristic Search in a Large Multi-Agent System
Prottle: A Probabilistic Temporal Planner
PIQA: Reasoning about Physical Commonsense in Natural Language
Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation
Integration and Evaluation of a Matrix Factorization Sequencer in Large Commercial ITS
Branch and Price for Bus Driver Scheduling with Complex Break Constraints
Cost-Effective Sensing during Plan Execution
Belief Change and Cryptographic Protocol Verification
Game Theoretic Considerations for Optimizing Efficiency of Taxi Systems
Optimal Decision Diagrams for Classification
Near-Lossless Binarization of Word Embeddings
Infinitely Many-Armed Bandits with Budget Constraints
Deep Low-Resolution Person Re-Identification
Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation
Multi-Scale 3D Convolution Network for Video Based Person Re-Identification
Sequential Blocked Matching
Automating Analysis and Feedback to Improve Mathematics Teachers' Classroom Discourse
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks
What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
Integration of an Expert Teaching Assistant with Distance Learning Software
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
SkeletonGait: Gait Recognition Using Skeleton Maps
Ordering Effects and Belief Adjustment in the Use of Comparison Shopping Agents
A Bayesian Approach for Estimating Causal Effects from Observational Data
Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues
Relational Learning for Collective Classification of Entities in Images
A Knowledge Representation Technique for Systems Dealing with Hardware Configuration
Bayesian Neural Word Embedding
Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages
Word-Order Variation in Natural Language Generation
SCAT: An Automatic-Programming Tool for Telecommunications Software
Diverse Person: Customize Your Own Dataset for Text-Based Person Search
A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure
Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region
Multimodal Summarization with Guidance of Multimodal Reference
Clearing Kidney Exchanges via Graph Neural Network Guided Tree Search (Student Abstract)
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Things Machine Learning Models Know That They Don't Know
Context-Specific Multiagent Coordination and Planning with Factored MDPs
MeInGame: Create a Game Character Face from a Single Portrait
Automatic Summarization of Long Documents (Student Abstract)
Learning with Many Irrelevant Features
Comprehension and Knowledge
HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes
Multi-Frame Deformable Look-Up Table for Compressed Video Quality Enhancement
Local Explanations for Reinforcement Learning
Having Your Cake and Eating It Too: Autonomy and Interaction in a Model of Sentence Processing
Exploiting Temporal Flexibility to Obtain High Quality Schedules
Multi-Scale Graph Learning for Anti-Sparse Downscaling
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering
DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions
Conservative Dual Consistency
Visual Exploration and Incremental Utility Elicitation
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System
Self-Emphasizing Network for Continuous Sign Language Recognition
Functional Interactions Between Memory and Recognition Judgments
A Preference-Based Approach to Default Reasoning: Preliminary Report
Efficient Apprenticeship Learning with Smart Humans
Redescription Mining: Structure Theory and Algorithms
The FF Heuristic for Lifted Classical Planning
Avoiding Unwanted Conversational Implicatures in Text and Graphics
Semi-supervised Models via Data Augmentation for Classifying Interactive Affective Responses
The AAAI-18 Workshop on Affective Content Analysis
Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
Space-Time Graph Modeling of Ride Requests Based on Real-World Data
Empirical Best Practices On Using Product-Specific Schema.org
CAMO: A Collaborative Ranking Method for Content Based Recommendation
An Organizational Approach to Adaptive Production Systems
Two-Stage Octave Residual Network for End-to-End Image Compression
Modeling Skewed Class Distributions by Reshaping the Concept Space
Efficient Certification of Spatial Robustness
Reactive Plan Revision
Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition
Computing Intersections of Horn Theories for Reasoning with Models
Optimal Pricing for Distance-Based Transit Fares
OPRA: An Open-Source Online Preference Reporting and Aggregation System
BERT-Based Code Learning for Exception Localization and Type Prediction
Synthetic Adversaries for Urban Combat Training
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
An Investigation into Reactive Planning in Complex Domains
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)
TRIPS: The Rochester Interactive Planning System
Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech
A Natural-Language Speech Interface Constructed Entirely as a Set of Executable Specifications
Learning Dynamics Models with Stable Invariant Sets
Biconnected Structure for Multi-Robot Systems
Linear Image Features in Stereopsis
Feature Extraction from Electronic Health Records of Diabetic Nephropathy Patients with Convolutioinal Autoencoder
Automatic Generation of Flexible Plans via Diverse Temporal Planning
Crowdsourcing the Pronunciation of Out-of-Vocabulary Words
An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem (Preliminary Report)
CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Topic Aware Neural Response Generation
AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans
Rule-Based Models of Legal Expertise
Task2KB: A Public Task-Oriented Knowledge Base
X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks
Conditional Existence of Variables in Generalised Constraint Networks
Neural Embeddings for kNN Search in Biological Sequence
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
Linear-Time Filtering Algorithms for the Disjunctive Constraint
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences
Algorithm Configuration, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015
Learning to Solve QBF
From Classical to Consistent Query Answering under Existential Rules
Asynchronous Distributed Gaussian Process Regression
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content
Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment
Does One-Against-All or One-Against-One Improve the Performance of Multiclass Classifications?
Neuron Interaction Based Representation Composition for Neural Machine Translation
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
An Accelerated Approach to Decentralized Reinforcement Learning of the Ball-Dribbling Behavior
Cloning in Elections
Crowdsourcing for Deployable Intelligent Systems
Fast Counterfactual Inference for History-Based Reinforcement Learning
Kanji Workbook: A Writing-Based Intelligent Tutoring System for Learning Proper Japanese Kanji Writing Technique with Instructor-Emulated Assessment
White-Box Adversarial Policies in Deep Reinforcement Learning
Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction
Recovering Causal Effects from Selection Bias
Translating with Scarce Resources
Abstracting Markov Networks
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency
SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning
Is There Any Need for Domain-Dependent Control Information?: A Reply
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
Spatial-Semantic Collaborative Cropping for User Generated Content
Student-Sensitive Multimodal Explanation Generation for 3D Learning Environments
Variational Autoencoder for Semi-Supervised Text Classification
Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract)
Calibrating Large Language Models with Sample Consistency
Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover
Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer
Dynamic Auction: A Tractable Auction Procedure
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
Sharing Pattern Submodels for Prediction with Missing Values
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
A Social Collaboration Argumentation System for Generating Multi-Faceted Answers in Question and Answer Communities
Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control
Visual Search and Multirobot Collaboration Based on Hierarchical Planning
A Scalable Jointree Algorithm for Diagnosability
A Novel Machine Learning-based Sentiment Analysis Method for Chinese Social Media Considering Chinese Slang Lexicon and Emoticons
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
Movie Recommender System for Profit Maximization (Short LBP)
Regret Transfer and Parameter Optimization
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction
280 Birds With One Stone: Inducing Multilingual Taxonomies From Wikipedia Using Character-Level Classification
Intentions in Equilibrium
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm
Preventing Arbitrage from Collusion When Eliciting Probabilities
Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
Neural Oscillators for Generalization of Physics-Informed Machine Learning
TiGAN: Text-Based Interactive Image Generation and Manipulation
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project
Learning State Features from Policies to Bias Exploration in Reinforcement Learning
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
Emotion-Aware Music Recommendation
An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems
Resolution and Parallelizability: Barriers to the Efficient Parallelization of SAT Solvers
Jointly Parse and Fragment Ungrammatical Sentences
Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
Deep Learning-Powered Iterative Combinatorial Auctions
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
Unsupervised Selection of Negative Examples for Grounded Language Learning
Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning
Formalising Reasoning about Change: A Qualitative Reasoning Approach
Optimal Neighborhood Preserving Visualization by Maximum Satisfiability
Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract)
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing
Opponent-Model Search in Games with Incomplete Information
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
Structured Duplicate Detection in External-Memory Graph Search
An Exploratory Study into the Use of an Emotionally Aware Cognitive Assistant
An Image Wherever You Look! Making Vision Just Another Sensor for AI/Robotics Projects
Risk-averse Total-reward MDPs with ERM and EVaR
Medical Exam Question Answering with Large-scale Reading Comprehension
The Impending Ubiquity of Cognitive Objects
Detecting Personal Experience Tweets for Health Surveillance Using Unsupervised Feature Learning and Recurrent Neural Networks
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
The Role of Logic in Knowledge Representation and Commonsense Reasoning
Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation
A Graph-Oriented Knowledge Representation and Unification Technique for Automatically Selecting and Invoking Software Functions
Optimizing Label Assignment for Weakly Supervised Person Search
MADbot: A Motivated and Goal Directed Robot
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks
Script-based Reasoning for Situation Monitoring
End-to-End Deep Reinforcement Learning for Conversation Disentanglement
Utilizing Knowledge-Base Semantics in Graph-Based Algorithms
Electricity Demand Forecasting using Gaussian Processes
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding
Chronological Ignorance: Time, Nonmonotonicity, Necessity and Causal Theories
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers
Fully Proportional Representation with Approval Ballots: Approximating the MaxCover Problem with Bounded Frequencies in FPT Time
Using Induction to Refine Information Retrieval Strategies
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization
Automated Utterance Generation
CamouFinder: Finding Camouflaged Instances in Images
Probabilistic Possible Winner Determination
Instance-Driven Ontology Evolution in DL-Lite
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings
Region Focus Network for Joint Optic Disc and Cup Segmentation
An Artificial Agent for Robust Image Registration
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
Waiting on Weighting: A Symbolic Least Commitment Approach
Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract)
Interpretable Generative Adversarial Networks
Graph-Aware Contrasting for Multivariate Time-Series Classification
Opinion Target Extraction Using a Shallow Semantic Parsing Framework
Progressive Bi-C3D Pose Grammar for Human Pose Estimation
Hidden Naive Bayes
Capturing, Analyzing and Utilizing Context-Based Information About User Activities on Smartphones
Enhancements of Branch and Bound Methods for the Maximal Constraint Satisfaction Problem
Time-Dependent Trajectory Regression on Road Networks via Multi-Task Learning
Integrating Metric and Qualitative Temporal Reasoning
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations
SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living
InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning
Balanced Clustering via Exclusive Lasso: A Pragmatic Approach
Using Commonsense Knowledge to Disambiguate Prepositional Phrase Modifiers
Perspective Taking: An Organizing Principle for Learning in Human-Robot Interaction
What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering
Comparative Analysis of Abstract Policies to Transfer Learning in Robotics Navigation
SeTformer Is What You Need for Vision and Language
Learning Partially Observable Action Schemas
Towards Trustable SHAP Scores
Latent Sparse Modeling of Longitudinal Multi-Dimensional Data
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt
Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling
The Effect of Observations on the Complexity of Model-Based Diagnosis
Performance Disparities between Accents in Automatic Speech Recognition (Student Abstract)
Learning Deep Generative Models for Queuing Systems
FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation
OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation
Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity
Alternating Back-Propagation for Generator Network
An Additive Autoregressive Hidden Markov Model for Energy Disaggregation
Probability-Density-aware Semi-supervised Learning
Complementing Semantic Roles with Temporally Anchored Spatial Knowledge: Crowdsourced Annotations and Experiments
Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer