yusuke1997/dblp-id-title huggingface dataset:
Planning and Learning for Decentralized MDPs with Event Driven Rewards
Learning from Label Proportions with Prototypical Contrastive Clustering
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning
Hashtag Recommendation for Photo Sharing Services
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency
DF 2 Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment
Applying Learnable Evolution Model to Heat Exchanger Design
MoLE: Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models
Communication-Optimal Distributed Dynamic Graph Clustering
Dependency Parsing with Dynamic Bayesian Network
End-to-End Unpaired Image Denoising with Conditional Adversarial Networks
Reinforcement Learning with Stochastic Reward Machines
Fair Division with Social Impact
Closest Pairs Data Selection for Support Vector Machines
Can We Enforce Full Compositionality in Uncertainty Calculi?
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
An Euclidean Distance Based on Tensor Product Graph Diffusion Related Attribute Value Embedding for Nominal Data Clustering
Unified Constraint Propagation on Multi-View Data
A Unified Environmental Network for Pedestrian Trajectory Prediction
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts
Approximation Algorithms for Solving Cost Observable Markov Decision Processes
PMC: Paired Multi-Contrast MRI Dataset at 1.5T and 3T for Supervised Image2Image Translation (short paper)
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
Personal Activity Logger with Hierarchical Activity Representation
Semantic Attachments for HTN Planning
Passive learning of Timed Automata from logs (Student Abstract)
Enhance Diversified Top-k MaxSAT Solving by Incorporating New Strategy for Generating Diversified Initial Assignments (Student Abstract)
On Combining Multiple Classifiers Using an Evidential Approach
Rethinking the Link Prediction Problem in Signed Social Networks
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions
EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation
Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling
CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph
Rehabilitating Homeless: Dataset and Key Insights
Speed Master: Quick or Slow Play to Attack Speaker Recognition
Informed Case Base Maintenance: A Complexity Profiling Approach
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
Explainable Agency in Reinforcement Learning Agents
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)
CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients
On Value Function Representation of Long Horizon Problems
Best-First Width Search: Exploration and Exploitation in Classical Planning
Aggregating Binary Judgments Ranked by Accuracy
Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract)
Robustness-Guided Image Synthesis for Data-Free Quantization
Using Iterative Repair to Automate Planning and Scheduling of Shuttle Payload Operations
Detecting Exclusive Language during Pair Programming
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction
Double Oracle Algorithm for Computing Equilibria in Continuous Games
IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach
Analyzing External Conditions to Improve the Efficiency of HTN Planning
Knowledge State Reconsideration: Hindsight Belief Revision
Filtering Algorithms Based on the Word-RAM Model
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective
VCG Redistribution with Gross Substitutes
Limitations of Incentive Compatibility on Discrete Type Spaces
Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
TacTex'13: A Champion Adaptive Power Trading Agent
Exploring Stochastic Autoregressive Image Modeling for Visual Representation
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
Randomised Procedures for Initialising and Switching Actions in Policy Iteration
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
On the Approximation of Instance Level Update and Erasure in Description Logics
Query-URL Bipartite Based Approach to Personalized Query Recommendation
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach
Bayesian Inference of Recursive Sequences of Group Activities from Tracks
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Learning to Think like a Neuron in Middle School
"From Unseen Needs to Classroom Solutions": Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education
Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions
Coarse and Fine-Grained Hostility Detection in Hindi Posts Using Fine Tuned Multilingual Embeddings
Teaching AI with the Hands-On AI Projects for the Classroom Series
Interpreting CNN Knowledge via an Explanatory Graph
The More the Merrier: Multi-Party Negotiation with Virtual Humans
Expressing Objects Just Like Words: Recurrent Visual Embedding for Image-Text Matching
Disentangled Representation for Causal Mediation Analysis
Using Decomposition-Parameters for QBF: Mind the Prefix!
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension
Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
Content Filtering with Inattentive Information Consumers
Position Paper: Embracing Heterogeneity - Improving Energy Efficiency for Interactive Services on Heterogeneous Data Center Hardware
Shadow Generation for Composite Image in Real-World Scenes
Task-Specific Scene Structure Representations
Logical Generative Models for Probabilistic Reasoning about Existence, Roles and Identity
Towards a Robust Deep Language Understanding System
Conservative and Greedy Approaches to Classification-Based Policy Iteration
Choosing Linguistics over Vision to Describe Images
Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?
Gaze Target Detection by Merging Human Attention and Activity Cues
Personalizing Individual Comfort in the Group Setting
Does Prior Knowledge Facilitate the Development of Knowledge-based Systems?
Knowledge-Aware Parameter Coaching for Personalized Federated Learning
Schedule-Based Robotic Search for Multiple Residents in a Retirement Home Environment
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
Monte Carlo Tree Search for Multi-Robot Task Allocation
Models of Axioms for Time Intervals
NAREOR: The Narrative Reordering Problem
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions
An Efficient Approach to Informative Feature Extraction from Multimodal Data
Learning Branching Heuristics for Propositional Model Counting
Where to Add Actions in Human-in-the-Loop Reinforcement Learning
Optimization for Classical Machine Learning Problems on the GPU
Model AI Assignments 2022
Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints
Learning Attention Model From Human for Visuomotor Tasks
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
A Trust Establishment Model in Multi-Agent Systems
Reasoning about Discrete Event Sources
An Analysis of Power TAC 2013 Trial
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising
Can Large Language Models Understand Real-World Complex Instructions?
Deletion-Robust Submodular Maximization with Knapsack Constraints
Making Best Use of Available Memory When Searching Game Trees
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation
QASC: A Dataset for Question Answering via Sentence Composition
Advancing Intelligent Software Development and Trustworthy Models Through the Synergy of Software Engineering and LLMs
On Criteria for Formal Theory Building: Applying Logic and Automated Reasoning Tools to the Social Sciences
Strategic Behaviour When Allocating Indivisible Goods
Almost Full EFX Exists for Four Agents
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging
Meta-Reinforcement Learning via Exploratory Task Clustering
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
Out-of-Distribution Generalization on Graphs via Progressive Inference
On Manipulating Weight Predictions in Signed Weighted Networks
Design and Evaluation of a Generative Artificial Intelligence-Based Tool for Students with Learning Disabilities in Kenya
Towards the Integration of Programming by Demonstration and Programming by Instruction using Golog
Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization
GTA: Graph Truncated Attention for Retrosynthesis
Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy
IDT: An Intelligent Diagnostic Tool
On the Complexity of PAC Learning in Hilbert Spaces
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Creating Interpretable Data-Driven Approaches for Remote Health Monitoring
BRBA: A Blocking-Based Association Rule Hiding Method
Learning Resource Allocation and Pricing for Cloud Profit Maximization
MDM: Molecular Diffusion Model for 3D Molecule Generation
Exploiting the Hidden Structure of Junction Trees for MPE
Negotiation in Exploration-Based Environment
A Little Charity Guarantees Fair Connected Graph Partitioning
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
Multi-Agent Dynamic Coupling for Cooperative Vehicles Modeling
Meta Learning in Decentralized Neural Networks: Towards More General AI
Can Real-Time Search Algorithms Meet Deadlines?
Learning Procedural Planning Knowledge in Complex Environments
Strategyproof Mechanisms for Friends and Enemies Games
Supervised Probabilistic Robust Embedding with Sparse Noise
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing
Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study
Coalition, Cryptography, and Stability: Mechanisms for Coalition Formation in Task Oriented Domains
Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery
Learning a Kernel for Multi-Task Clustering
Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain
Focus Stacking with High Fidelity and Superior Visual Effects
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction
Multimodal Class-aware Semantic Enhancement Network for Audio-Visual Video Parsing
Cross-View Graph Consistency Learning for Invariant Graph Representations
Procedure Knowledge Decoupled Distillation Strategy for Procedure Planning in Instructional Videos
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning
Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network
G-Optimal Design with Laplacian Regularization
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
CtrlAvatar: Controllable Avatars Generation via Disentangled Invertible Networks
Character-Level Language Modeling with Deeper Self-Attention
Imitation Upper Confidence Bound for Bandits on a Graph
Learning Basis Functions in Hybrid Domains
Low-Rank Linear Cold-Start Recommendation from Social Data
Tightening Bounds for Bayesian Network Structure Learning
Activity Analysis: The Qualitative Analysis of Stationary Points for Optimal Reasoning
Social Comparison for Failure Detection and Recovery in Multi-Agent Settings
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
Agent-Organized Networks for Multi-Agent Production and Exchange
Learning Relational Causal Models with Cycles through Relational Acyclification
Control Strategies for a Stochastic Planner
Practical TBox Abduction Based on Justification Patterns
Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue
Be Inaccurate but Don't Be Indecisive: How Error Distribution Can Affect User Experience
Modeling Accounting Systems to Support Multiple Tasks: A Progress Report
Energy and Policy Considerations for Modern Deep Learning Research
A Neural Probabilistic Model for Context Based Citation Recommendation
ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction
SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract)
Semantically Contrastive Learning for Low-Light Image Enhancement
The Impact of Network Topology on Pure Nash Equilibria in Graphical Games
Multi-Stream Representation Learning for Pedestrian Trajectory Prediction
Reward-Based Negotiating Agent Strategies
A Comparison of Lex Bounds for Multiset Variables in Constraint Programming
Automatic Extraction of Efficient Axiom Sets from Large Knowledge Bases
Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics
Full Bayesian Significance Testing for Neural Networks
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract)
Rule Based Updates on Simple Knowledge Bases
Balancing the Spread of Two Opinions in Sparse Social Networks (Student Abstract)
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract)
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
Automatically Generating Universal Attachments Through Compilation
Exploratory Navigation and Selective Reading
Smart Motor: A Low-Cost Hardware and Software Toolkit for Introducing Supervised Machine Learning to Elementary School Students
Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time
Meta-Descent for Online, Continual Prediction
Structure Learning for Approximate Solution of Many-Player Games
Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency
Performance Bounded Reinforcement Learning in Strategic Interactions
Backdoors into Heterogeneous Classes of SAT and CSP
Goal Recognition with Markov Logic Networks for Player-Adaptive Games
A Framework for Integration of Logical and Probabilistic Knowledge
Belief Change and Non-Monotonic Reasoning Sans Compactness
Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance
Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
Complementary Auxiliary Classifiers for Label-Conditional Text Generation
Sweep-Based Propagation for String Constraint Solving
Semi-Parametric Sampling for Stochastic Bandits with Many Arms
Leveraging BERT with Mixup for Sentence Classification (Student Abstract)
A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus
Improved Kernel Alignment Regret Bound for Online Kernel Learning
Collaborative Tooth Motion Diffusion Model in Digital Orthodontics
XPath for DL Ontologies
Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries
Mining Translations of Web Queries from Web Click-through Data
Discovering Conversational Dependencies between Messages in Dialogs
Robust Self-Supervised Multi-Instance Learning with Structure Awareness
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011
Learning to Learn: Automatic Adaptation of Learning Bias
A Viewpoint Distinction in the Representation of Propositional Attitudes
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
Piaget and Artificial Intelligence
Tabu Search for SAT
Planning with Concurrent Interacting Actions
Why Teaching Ethics to AI Practitioners Is Important
Distant Transfer Learning via Deep Random Walk
Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning
Sequential End-to-end Network for Efficient Person Search
Spatial Reference Resolution for an Embodied Dialogue Agent
A Microtext Corpus for Persuasion Detection in Dialog
Subnormal Modal Logics for Knowledge Representation
HybridCap: Inertia-Aid Monocular Capture of Challenging Human Motions
MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse
Automatic Summary Generation for Scientific Data Charts
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network
Forbidden Nodes Aware Community Search
Constructing and Refining Causal Explanations from an Inconsistent Domain Theory
Artificial Intelligence Competencies for Data Science Undergraduate Curricula
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction
Emotion-based Agents
Efficient Methods for Lifted Inference with Aggregate Factors
Probabilistic Strategy Logic with Degrees of Observability
In Search of the Best Constraint Satisfaction Search
UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series
IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking
Symbolic Top-k Planning
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models
Learning Affects Trust: Design Recommendations and Concepts for Teaching Children - and Nearly Anyone - about Conversational Agents
Faster Stackelberg Planning via Symbolic Search and Information Sharing
Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition
A Tractable Leader-Follower MDP Model for Animal Disease Management
Adversarial Learning of Portable Student Networks
Dynamic Heterogeneous Graph Attention Neural Architecture Search
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula
Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems Using Representation Learning
Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration
Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning
Shape Encoding and Subjective Contours
ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Some Fixed Parameter Tractability Results for Planning with Non-Acyclic Domain-Transition Graphs
DD* Lite: Efficient Incremental Search with State Dominance
Constraint-Based Inference from Image Motion
An AI Planning Solution to Scenario Generation for Enterprise Risk Management
Effective Ensembling of Transformer based Language Models for Acronyms Identification
Deep LSTM-Based Goal Recognition Models for Open-World Digital Games
Bayesian Q-Learning
Heuristic Search for Multi-Objective Probabilistic Planning
Multi-Label Learning on Tensor Product Graph
A Stackelberg Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population
Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
Integer Is Enough: When Vertical Federated Learning Meets Rounding
Invertible Conditional GAN Revisited: Photo-to-Manga Face Translation with Modern Architectures (Student Abstract)
Learning Relational Sum-Product Networks
Knowledge Engineering Issues in VLSI Synthesis
Transfer and Alignment Network for Generalized Category Discovery
You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications
On the Knowledge Underlying Multimedia Presentations
Towards Multiagent Meta-level Control
Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
An Architecture for Intelligent Task Automation
Fairly Allocating Many Goods with Few Queries
Everything You Always Wanted to Know About Authority Structures But Were Unable to Represent
Curved Representation Space of Vision Transformers
Generality versus Specificity: An Experience with AI and OR Techniques
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations
Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection
A Qualitative Model of Physical Fields
Robust and Self-Repairing Formation Control for Swarms of Mobile Agents
Reading between the Lines: Image-Based Order Detection in OCR for Chinese Historical Documents
Robust Tests in Online Decision-Making
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
Sound Over-Approximation of Equational Reasoning with Variable-Preserving Rules Parameterized by Derivation Depth
Extreme Low Resolution Activity Recognition With Multi-Siamese Embedding Learning
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?