yusuke1997/dblp-id-title huggingface dataset:
Pure-Past Action Masking
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization
Most Informative Dimension Reduction
Plan-Length Bounds: Beyond 1-Way Dependency
Community Detection in Social Networks Considering Topic Correlations
Data Validation during Diagnosis: A Step beyond Traditional Sensor Validation
A New Computational Intelligence Model for Long-Term Prediction of Solar and Geomagnetic Activity
Model Update for Automated Planning
Memory-Augmented Temporal Dynamic Learning for Action Recognition
Efficient Multiresolution Algorithms for Computing Lightness, Shape-From-Shading, and Optical Flow
Sequential Recommendation with Relation-Aware Kernelized Self-Attention
TET-GAN: Text Effects Transfer via Stylization and Destylization
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding
Complexity Boundaries for Horn Description Logics
Temporal Reasoning in Sequence Graphs
Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM
An Efficient Algorithm for Scatter Chart Labeling
CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness
Stability in Online Coalition Formation
Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants
Conflict Resolution in Fuzzy Forward-Chaining Production Systems
Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Trust Models for RDF Data: Semantics and Complexity
GoTube: Scalable Statistical Verification of Continuous-Depth Models
AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation
Functionality Discovery and Prediction of Physical Objects
Signaling in Posted Price Auctions
Towards Structural Tractability in Hedonic Games
Incorporating Observer Biases in Keyhole Plan Recognition (Efficiently!)
Analyzing the Roles of Descriptions and Actions in Open Systems
Searching Without a Heuristic: Efficient Use of Abstraction
SP-SVM: Large Margin Classifier for Data on Multiple Manifolds
Reinforcement learning from Affective Cues in Dialogue
An Intelligent Battery Controller Using Bias-Corrected Q-learning
Explainable Cross-Domain Recommendations Through Relational Learning
Robust Multi-Objective Preference Alignment with Online DPO
Traffic Updates: Saying a Lot While Revealing a Little
Dynamic Spectral Graph Anomaly Detection
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration
Generalized Shape Autocorrelation
Consistent-Labeling Problems and Their Algorithms
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
Building Earth Mover's Distance on Bilingual Word Embeddings for Machine Translation
Transitive Hashing Network for Heterogeneous Multimedia Retrieval
Investigating the Effect of Relevance and Reachability Constraints on SAT Encodings of Planning
Conjugated Discrete Distributions for Distributional Reinforcement Learning
Winner Determination in Huge Elections with MapReduce
Differential Eligibility Vectors for Advantage Updating and Gradient Methods
The Boosting Effect of Exploratory Behaviors
A Policy Description Language
Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Ordering-Sensitive and Semantic-Aware Topic Modeling
Affective Personalization of a Social Robot Tutor for Children's Second Language Skills
Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code
Frugal Optimization for Cost-related Hyperparameters
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
On Exploiting Hitting Sets for Model Reconciliation
Single-Frontier Bidirectional Search
Explainable Planner Selection for Classical Planning
Multiple Agent Event Detection and Representation in Videos
Speech Recognition with Dynamic Bayesian Networks
Learning Physical Descriptions From Functional Definitions, Examples, and Precedents
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
Random-Radius Ball Method for Estimating Closeness Centrality
PageRank for Edges: Axiomatic Characterization
Tau-FPL: Tolerance-Constrained Learning in Linear Time
AutoMPC: Efficient Multi-Party Computation for Secure and Privacy-Preserving Cooperative Control of Connected Autonomous Vehicles
A Question-Focused Multi-Factor Attention Network for Question Answering
UCF-STAR: A Large Scale Still Image Dataset for Understanding Human Actions
Explaining Inconsistency-Tolerant Query Answering over Description Logic Knowledge Bases
Practical Cross-System Shilling Attacks with Limited Access to Data
Aligned Scene Modeling of a Robot's Vista Space - An Evaluation
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract)
Evaluation of Large Language Models on Code Obfuscation (Student Abstract)
Deep Robust Unsupervised Multi-Modal Network
Ambiguity Procrastination
A Qualitative Approach to Multiple Fault Isolation in Continuous Systems
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract)
(Im)possibility of Safe Exchange Mechanism Design
Attention-based Multi-Level Fusion Network for Light Field Depth Estimation
Memotion 2: Dataset on Sentiment and Emotion Analysis of Memes (short paper)
A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy
Treatment Effect Estimation with Disentangled Latent Factors
A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
Solving Seven Open Problems of Offline and Online Control in Borda Elections
KVQA: Knowledge-Aware Visual Question Answering
Dynamic User Task Scheduling for Mobile Robots
Solving Higher-Order Quantified Boolean Satisfiability via Higher-Order Model Checking
SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models
Predicting the Original Appearance of Damaged Historical Documents
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
Defining Operationality for Explanation-based Learning
Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms
Learning Bayesian Networks in the Presence of Structural Side Information
Multi-Shape Matching with Cycle Consistency Basis via Functional Maps
Incremental Discovery of Hidden Structure: Applications in Theory of Elementary Particles
Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network
A Reasoning Model Based on an Extended Dempster-Shafer Theory
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors
Towards Holistic, Pragmatic and Multimodal Conversational Systems
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation
Towards Efficient Negotiation Mechanisms for Collaboration
A Portable Upper Extremity Rehabilitation Device
Two-Stream Contextualized CNN for Fine-Grained Image Classification
Decentralized Sum-of-Nonconvex Optimization
LRSC: Learning Representations for Subspace Clustering
Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units
Speech Adaptation in Extended Ambient Intelligence Environments
Efficient Extraction of QBF (Counter)models from Long-Distance Resolution Proofs
Certification of Speaker Recognition Models to Additive Perturbations
REGLO: Provable Neural Network Repair for Global Robustness Properties
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference
Efficient Metadeliberation Auctions
Application for AI-OCR Module: Auto Detection of Emails/Letter Images
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, AAAI 96, IAAI 96, Portland, Oregon, USA, August 4-8, 1996, Volume 2
Dual-Domain Attention for Image Deblurring
SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation
ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding
Massively Parallel Assumption-Based Truth Maintenance
Collusion-Proof and Sybil-Proof Reward Mechanisms for Query Incentive Networks
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
An MDP-Based Winning Approach to Autonomous Power Trading: Formalization and Empirical Analysis
Qualitative Reasoning with Microscopic Theories
Handling Inconsistency for Multi-Source Integration
A Fast Heuristic Search Algorithm for Finding the Longest Common Subsequence of Multiple Strings
Uncertainty Modeling with Second-Order Transformer for Group Re-identification
Symbolic Variable Elimination for Discrete and Continuous Graphical Models
PowerMLP: An Efficient Version of KAN
Balanced Trade Reduction for Dual-Role Exchange Markets
3DMambaIPF: A State Space Model for Iterative Point Cloud Filtering via Differentiable Rendering
Improving Distinguishability of Class for Graph Neural Networks
Recognizing and Interpreting Gestures on a Mobile Robot
Using Artificial Intelligence Planning to Generate Antenna Tracking Plans
MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models
Compromise Strategies for Constraint Agents
Disentangled Motion Modeling for Video Frame Interpolation
KITSS: A Knowledge-Based Translation System for Test Scenarios
Multimodal Fine-Grained Apparent Personality Trait Recognition: Joint Modeling of Big Five and Questionnaire Item-level Scores
Physics for Robots
A Knowledge-Aware Attentional Reasoning Network for Recommendation
Domains in Logic Programming
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games
A Simple Motion Planning Algorithm for General Robot Manipulators
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling
Computing Slater Rankings Using Similarities among Candidates
Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions
Planning Natural-Language Utterances
Integrating Programming by Example and Natural Language Programming
Leveraging Weighted Cross-Graph Attention for Visual and Semantic Enhanced Video Captioning Network
Matching Market Design with Constraints
Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning
Training Meta-Surrogate Model for Transferable Adversarial Attack
Open World Planning in the Situation Calculus
MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge
Condorcet Relaxation In Spatial Voting
Understanding the Role of the Projector in Knowledge Distillation
Antonym-Synonym Classification Based on New Sub-Space Embeddings
Robust Neuro-Symbolic Goal and Plan Recognition
Policy-Adaptive Estimator Selection for Off-Policy Evaluation
Inner Regions and Interval Linearizations for Global Optimization
gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items
Correlation Matching Transformation Transformers for UHD Image Restoration
An Optimisation Approach for Using Contextual Information in Conputer Vision
How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild
An Efficient Reactive Planner for Synthesizing Reactive Plans
ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling
Learning Bayesian Networks with Incomplete Data by Augmentation
Fair Short Paths in Vertex-Colored Graphs
An Exact Algorithm with New Upper Bounds for the Maximum k-Defective Clique Problem in Massive Sparse Graphs
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise
Learning to Compose Task-Specific Tree Structures
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
Question-Answering with Grammatically-Interpretable Representations
Participatory Budgeting with Donations and Diversity Constraints
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling
Regularized Diffusion Process for Visual Retrieval
Propagating Conjunctions of AllDifferent Constraints
Low Resource Sequence Tagging with Weak Labels
AI-Sketcher : A Deep Generative Model for Producing High-Quality Sketches
Learning to Control a Dynamic Physical System
Metric-Agnostic Continual Learning for Sustainable Group Fairness
Extending PSL with Fuzzy Quantifiers
Bayesian AutoEncoder: Generation of Bayesian Networks with Hidden Nodes for Features
Detecting Spam Blogs: A Machine Learning Approach
Learning to Embed Sentences Using Attentive Recursive Trees
On Automated Defeasible Reasoning with Controlled Natural Language and Argumentation
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
Language Modelling via Learning to Rank
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Proceedings of the 1st Annual National Conference on Artificial Intelligence, Stanford University, CA, USA, August 18-21, 1980
Personal Construct Theory and the Transfer of Human Expertise
Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques
Similarity Distribution Based Membership Inference Attack on Person Re-identification
Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images
Towards Off-Policy Learning for Ranking Policies with Logged Feedback
Rewind and Render: Towards Factually Accurate Text-to-Video Generation with Distilled Knowledge Retrieval
Co-imitation: Learning Design and Behaviour by Imitation
Towards Robust End-to-End Alignment
Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification
Novel Intent Detection and Active Learning Based Classification (Student Abstract)
Boundary Proposal Network for Two-stage Natural Language Video Localization
Adversarial Directed Graph Embedding
PresentationTrainer: Oral Presentation Support System for Impression-Related Feedback
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
Data Poisoning Attacks against Autoregressive Models
Counterfactual Multi-Agent Policy Gradients
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video
Robust Feature Rectification of Pretrained Vision Models for Object Recognition
Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning
Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract)
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer
Variational Fair Clustering
Identifying Missing Node Information in Social Networks
Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction
Interactive Machine Learning at Scale With CHISSL
Understanding the Success of Perfect Information Monte Carlo Sampling in Game Tree Search
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
Proceedings of the 10th National Conference on Artificial Intelligence, San Jose, CA, USA, July 12-16, 1992
Automatic Depiction of Spatial Descriptions
Knowledge-Embedded Narrative Construction from Open Source Intelligence
Pyramidal Feature Shrinking for Salient Object Detection
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
Learning CP-Net Preferences Online from User Queries
Calibration-Free BCI Based Control
MasDISPO: A Multiagent Decision Support System for Steel Production and Control
Divide and Conquer: Hybrid Pre-training for Person Search
Using Semantic Cues to Learn Syntax
An Integrative Framework for Artificial Intelligence Education
Fair Inference on Outcomes
Solution Quality Improvements for Massively Multi-Agent Pathfinding
SenseClusters - Finding Clusters that Represent Word Senses
Bayesian Affect Control Theory of Self
Unsupervised Personalized Feature Selection
Data Poisoning to Fake a Nash Equilibria for Markov Games
Learning Efficient Rules by Maintaining the Explanation Structure
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
Learning to Generate Posters of Scientific Papers
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences
Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds
Learning Hierarchical Hidden Markov Models with General State Hierarchy
Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract)
New Inference Rules for Efficient Max-SAT Solving
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks
Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules
Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels
The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning
Enriching Non-Parametric Bidirectional Search Algorithms
Partial Multi-Label Learning with Label Distribution
Revisiting the Foundations of Abstract Argumentation - Semantics Based on Weak Admissibility and Weak Defense
Evolution of an Empathetic Digital Entity: Phase One
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation
Long Text Generation via Adversarial Training with Leaked Information
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
Extraction of Formulaic Expressions from Scientific Papers
SA²VP: Spatially Aligned-and-Adapted Visual Prompt
Fair Lotteries for Participatory Budgeting
Understanding Performance Tradeoffs in Algorithms for Solving Oversubscribed Scheduling
Learning to Defer with Limited Expert Predictions
Multiagent Graph Coloring: Pareto Efficiency, Fairness and Individual Rationality
Graph-without-cut: An Ideal Graph Learning for Image Segmentation
Mars Target Encyclopedia: Rock and Soil Composition Extracted From the Literature
Fast and Deep Graph Neural Networks
MobileFaceSwap: A Lightweight Framework for Video Face Swapping
Exponential Recency Weighted Average Branching Heuristic for SAT Solvers
Multi-Fisheye for Interactive Visualization of Large Graphs
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise
Deep Reinforcement Learning for General Game Playing
DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction
Product Quantized Translation for Fast Nearest Neighbor Search
Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation
Exploiting Symmetry in the Planning graph via Explanation-Guided Search
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization
Partial Label Learning via Label Enhancement
Two Case Studies for Trading Multiple Indivisible Goods with Indifferences
Geometric Reasoning and Organized Optimization for Automated Process Planning
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs
Bayesian Fairness
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks
A Comparison of the Commonsense and Fixed Point Theories of Nonmonotonicity
Proposal of an Adaptive Service Providing System for a Multi-User Smart Home
Solving Semantic Problems Using Contexts Extracted from Knowledge Graphs
An End-to-End Deep Learning Architecture for Graph Classification
Intelligent Agents for the Synthetic Battlefield: A Company of Rotary Wing Aircraft
Green Driver: AI in a Microcosm
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing
Semantically Sound Inheritance for a Formally Defined Frame Language with Defaults
Leveraging Common Structure to Improve Prediction across Related Datasets
CoDiNMF: Co-Clustering of Directed Graphs via NMF
Learning the Topology and Behavior of Discrete Dynamical Systems
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
A Gray Box Model for Characterizing Driver Behavior
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Discovering Program Topoi Through Clustering
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation
ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains
Recognizing Figure Labels in Patents
Seizing Critical Learning Periods in Federated Learning
Future Intelligent Information Systems: AI and Database Technologies Working Together
How Many Different "John Smiths", and Who Are They?
Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer
Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization
Teamwork with Limited Knowledge of Teammates
Concept Languages as Query Languages
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
Iterative Sparse Attention for Long-sequence Recommendation
Adaptive Traitor Tracing with Bayesian Networks
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Computational Costs versus Benefits of Control Reasoning
Using Planning Graphs for Solving HTN Planning Problems
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
An Instructional Environment for Practicing Argumentation Skills
Towards Trustworthy, Efficient, and Scalable Machine Learning
Offline Reinforcement Learning as Anti-exploration
Parametric ρ-Norm Scaling Calibration
Choosing Directions for Rules