yusuke1997/dblp-id-title huggingface dataset:
Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions
AgentMixer: Multi-Agent Correlated Policy Factorization
On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract)
Incentives for Early Arrival
Aggregated Gradient Langevin Dynamics
An Ontological Approach towards Automatic Creation of Infographics from Formal Text (Student Abstract)
Formally Verified Solution Methods for Markov Decision Processes
Temporal Reasoning with Constraints on Fluents and Events
Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs
Bottom-Up Induction of Oblivious Read-Once Decision Graphs: Strengths and Limitations
A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution
Complexity Analysis of Admissible Heuristic Search
Learning Non-Stationary Space-Time Models for Environmental Monitoring
Conservativeness of Untied Auto-Encoders
MatchDet: A Collaborative Framework for Image Matching and Object Detection
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent
Learning Context-Specific Word/Character Embeddings
Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String
The Dynamic Chinese Restaurant Process via Birth and Death Processes
Core Knowledge Learning Framework for Graph
Learning to Attack: Adversarial Transformation Networks
Diffusion Models for Robotics
Towards Reliable Learning in the Wild: Generalization and Adaptation
Dependency-Directed Reconsideration Belief Base Optimization for Truth Maintenance Systems
Using Arc Weights to Improve Iterative Repair
Reliability of Computational Experiments on Virtualised Hardware
Triple Feature Disentanglement for One-Stage Adaptive Object Detection
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference
Understanding Chat Messages for Sticker Recommendation in Messaging Apps
A Tractable Approach to ABox Abduction over Description Logic Ontologies
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks
Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction
Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback
Enabling Citizen Roboticists
A Fuzzy Set Based Approach for Rating Bias
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
Accelerating Neural Machine Translation with Partial Word Embedding Compression
Single-view Image to Novel-view Generation for Hand-Object Interactions
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation
Scalable Affinity Propagation for Massive Datasets
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
Saturated Post-hoc Optimization for Classical Planning
Learning to Transfer: Unsupervised Domain Translation via Meta-Learning
A Proactive Sampling Approach to Project Scheduling under Uncertainty
Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract)
Facility Location Games with Optional Preferences: A Revisit
Modality-Balanced Models for Visual Dialogue
IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract)
Coherency Improved Explainable Recommendation via Large Language Model
LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract)
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms
Incremental Multi-Domain Learning with Network Latent Tensor Factorization
Genome Rearrangement and Planning
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs
Meta-Learning Effective Exploration Strategies for Contextual Bandits
Estimating Temporal Dynamics of Human Emotions
Generative Calibration of Inaccurate Annotation for Label Distribution Learning
Modeling Actions with Ramifications in Nondeterministic, Concurrent, and Continuous Domains - and a Case Study
Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations
IWRN: A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack
Actionable Combined High Utility Itemset Mining
Particle Filtering for Dynamic Agent Modelling in Simplified Poker
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering
Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay
Linking People across Text and Images Based on Social Relation Reasoning
Action-Conditioned Generation of Bimanual Object Manipulation Sequences
Counterfactual Explanations of Time Varying Rankings (Student Abstract)
GSN: Generalisable Segmentation in Neural Radiance Field
QUICR-Learning for Multi-Agent Coordination
Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract)
DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL
The Semantics of Potential Intentions
A Highly Efficient Marine Mammals Classifier Based on a Cross-Covariance Attended Compact Feed-Forward Sequential Memory Network (Student Abstract)
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
Task-Aware Monocular Depth Estimation for 3D Object Detection
Compact Autoregressive Network
Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic
Oversubscription Planning: Complexity and Compilability
Critically Assessing the State of the Art in CPU-based Local Robustness Verification
Cognitive Classification
Transfer of Knowledge through Collective Learning
Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs
CABACE: Injecting Character Sequence Information and Domain Knowledge for Enhanced Acronym and Long-Form Extraction
A Coreset Learning Reality Check
Empowering Adaptive Early-Exit Inference with Latency Awareness
Logical Task Modelling for Man-Machine Dialogue
Decision-Theoretic Layered Robotic Control Architecture
Theory Resolution: Building in Nonequational Theories
Convergent Plans for Large-Scale Evacuations
Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy
HDLayout: Hierarchical and Directional Layout Planning for Arbitrary Shaped Visual Text Generation
Contrastive Learning Reduces Hallucination in Conversations
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs
Minimal Change in Modal Logic S5
Approximate Strategic Reasoning through Hierarchical Reduction of Large Symmetric Games
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework
Tree-Based On-Line Reinforcement Learning
Towards Generalized Implementation of Wasserstein Distance in GANs
Expressiveness of ADL and Golog: Functions Make a Difference
On the Concept Trustworthiness in Concept Bottleneck Models
Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning
Abductive Logic Programming by Nonground Rewrite Systems
Another Look at Search-Based Drama Management
Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach
Learning Tasks and Skills Together From a Human Teacher
The Naughtyformer: A Transformer Understands and Moderates Adult Humor (Student Abstract)
On Computing all Abductive Explanations
Experiential Learning in Analogical Problem Solving
Reasoning about Causality in Games (Abstract Reprint)
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
Acquisition of Appropriate Bias for Inductive Concept Learning
Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)
GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition Kexin Feng
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
Enhancing Implicit Neural Representations via Symmetric Power Transformation
Structured Packing in LLM Training Improves Long Context Utilization
Head-Free Lightweight Semantic Segmentation with Linear Transformer
Improving Causal Inference by Increasing Model Expressiveness
Pricing Procedure in Accordance with Characteristic of Parking Utilization - Analysis Example of Massive Parking Accounting Data
Automatic Slides Generation for Scholarly Papers: A Fine-Grained Dataset and Baselines (Student Abstract)
Chinese NER with Height-Limited Constituent Parsing
Attentive Interactive Neural Networks for Answer Selection in Community Question Answering
Activity-Centric Email: A Machine Learning Approach
Contract-based Inter-user Usage Coordination in Free-floating Car Sharing
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation
3D Shape Completion with Multi-View Consistent Inference
DriveGazen: Event-Based Driving Status Recognition Using Conventional Camera
Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis
LLM-RG4: Flexible and Factual Radiology Report Generation Across Diverse Input Contexts
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
Context Recognition in Multiple Occupants Situations: Detecting the Number of Agents in a Smart Home Environment with Simple Sensors
Partial Multi-View Clustering
Vision-Language Fusion for Object Recognition
Hybrid Neural Plausibility Networks for News Agents
Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds
Attention Based LSTM for Target Dependent Sentiment Classification
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models
Terminological Cycles in KL-ONE-based Knowledge Representation Languages
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
User Intent Identification from Online Discussions Using a Joint Aspect-Action Topic Model
From Causal Theories to Successor State Axioms and STRIPS-Like Systems
Explaining Answer Set Programming in Argumentative Terms
ResMatch: Residual Attention Learning for Feature Matching
Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract)
Modeling Attrition in Recommender Systems with Departing Bandits
Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing
Extending Classical Planning Heuristics to Probabilistic Planning with Dead-Ends
Spatiotemporal Deformation Perception for Fisheye Video Rectification
The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media
Extracting Learned Discard and Knocking Strategies from a Gin Rummy Bot
Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing
Detecting Lexical Semantic Change across Corpora with Smooth Manifolds (Student Abstract)
Adversarial Language Games for Advanced Natural Language Intelligence
Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)
Adaptive Temporal Planning for Multi-Robot Systems in Operations and Maintenance of Offshore Wind Farms
Simple Robust Grammar Induction with Combinatory Categorial Grammars
Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning
Online Bayesian Models for Personal Analytics in Social Media
Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, PA, USA, August 11-15, 1986. Volume 2: Engineering
Parameterized Algorithms for MILPs with Small Treedepth
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
Splitting Answer Set Programs with Respect to Intensionality Statements
TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition
A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data (Student Abstract)
Fair and Efficient Completion of Indivisible Goods
SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction
DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos
The FERMI System: Inducing Iterative Macro-Operators from Experience
FIND: A Framework for Discovering Formulas in Data
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices
Multi-Classifier Adversarial Optimization for Active Learning
CAWA: An Attention-Network for Credit Attribution
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior
Differentially Private and Communication Efficient Collaborative Learning
Differentially Private Fair Division
HARGAN: Heterogeneous Argument Attention Network for Persuasiveness Prediction
Real-Time Recurrent Reinforcement Learning
Assertion-Based QA With Question-Aware Open Information Extraction
Exploiting Meta-Level information in a Distributed Scheduling System
ERFSL: An Efficient Reward Function Searcher via Large Language Models for Custom-Environment Multi-Objective Reinforcement Learning (Student Abstract)
Integrating Reinforcement Learning into a Programming Language
Dividing Up the Question Answering Process
NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs
A Generative Model for Dynamic Networks with Applications
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
Black-Box Attacks against RNN Based Malware Detection Algorithms
Interactive Decision Theory and Game Theory, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 12, 2010
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
Multi-Leader Congestion Games with an Adversary
Expected Eligibility Traces
On Identifying Hashtags in Disaster Twitter Data
Finding ε and δ of Traditional Disclosure Control Systems
Phase Transition and Network Structure in Realistic SAT Problems
Preferences Single-Peaked on Nice Trees
Deep Neural Network Compression With Single and Multiple Level Quantization
Facility's Perspective to Fair Facility Location Problems
ASSAT: Computing Answer Sets of a Logic Program by SAT Solvers
Translation-Based Matching Adversarial Network for Cross-Lingual Natural Language Inference
Constructive Induction on Domain Information
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models
On the Diagnosis of Cyber-Physical Production Systems
Goal Operations for Cognitive Systems
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG
Non-Discriminatory Machine Learning Through Convex Fairness Criteria
AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation
On Resolving Ambiguous Anaphoric Expressions in Imperative Discourse
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
Multimedia Explanations for Intelligent Training Systems
Two Approaches for Building an Unsupervised Dependency Parser and Their Other Applications
Fast d-DNNF Compilation with sharpSAT
Task Adaptive Pretraining of Transformers for Hostility Detection
Learning to Classify the Wrong Answers for Multiple Choice Question Answering (Student Abstract)
A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction
A Modular Framework for the Automatic Reconstruction of Shredded Documents
CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry
Fighting an Infodemic: COVID-19 Fake News Dataset
Exploiting Tree Decomposition and Soft Local Consistency In Weighted CSP
What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph
Towards Incremental Disambiguation with a Generalized Discrimination Network
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
From a Scholarly Big Dataset to a Test Collection for Bibliographic Citation Recommendation
Joint Scoring Rules: Competition Between Agents Avoids Performative Prediction
Multi-Proxy Wasserstein Classifier for Image Classification
Analogy Tutor: A Tutoring System for Promoting Conceptual Learning via Comparison
Hybrid Markov Logic Networks
Constraint-Based Discourse Agents
Make3D: Depth Perception from a Single Still Image
Energy Outlier Detection in Smart Environments
Regularization and Learning an Ensemble of RNNs by Decorrelating Representations
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis
Hypothesis Testing in a Computational Theory of Visual Word Recognition
Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs
Automatic Verification of Liveness Properties in the Situation Calculus
Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning
Epistemic Integrity Constraints for Ontology-Based Data Management
Multi-View Intent Disentangle Graph Networks for Bundle Recommendation
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
The Integration of Unification-Based Syntax/Semantics and Memory-Based Pragmatics for Real-Time Understanding of Noisy Continuous Speech Input
Deep Transfer as Structure Learning in Markov Logic Networks
Fast Hybrid Algorithm for Big Matrix Recovery
The Epistemic Logic Behind the Game Description Language
Tractability of Planning with Loops
Revealing Hidden Preconditions and Effects of Compound HTN Planning Tasks - A Complexity Analysis
Autonomous Learning of Tool Affordances by a Robot
ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model
Target Scanpath-Guided 360-Degree Image Enhancement
Spectral Thompson Sampling
Delving Deep into Pixel Alignment Feature for Accurate Multi-View Human Mesh Recovery
LAHM : Large Annotated Dataset for Multilingual & Multi-Domain Hate Speech Identification
Representing Context Using the Context for Human and Automation Teams Model
A Single-Step Maximum A Posteriori Update for Bearing-Only SLAM
FairFed: Enabling Group Fairness in Federated Learning
Algorithms for Max-Min Share Fair Allocation of Indivisible Chores
Local Search with Constraint Propagation and Conflict-Based Heuristics
The Role of Eye Position Information in Algorithms for Stereoscopic Matching
A New Approach to Knowledge Base Revision in DL-Lite
Fully Convolutional Network for Consistent Voxel-Wise Correspondence
One for More: Selecting Generalizable Samples for Generalizable ReID Model
Maintaining Consistency in a Stratified Production System Program
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
Visual Agreement Regularized Training for Multi-Modal Machine Translation
Control Issues in Parallel Rule-Firing Production Systems
Learning Adaptive Hidden Layers for Mobile Gesture Recognition
Efficient Querying Relaxed Dominant Relationship between Product Items Based on Rank Aggregation
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment
Targeting Specific Distributions of Trajectories in MDPs
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction
Optimizing Similarity Assessment in Case-Based Reasoning
A Constraint Decomposition Method for Spatio-Temporal Configuration Problems
Probabilistic Modal Logic
A Compiler for Weak Decomposable Negation Normal Form
Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek
Bidding Graph Games with Partially-Observable Budgets
SECap: Speech Emotion Captioning with Large Language Model
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold
Sentence Generation for Entity Description with Content-Plan Attention
Context-Dependent Transitions in Tutoring Discourse
The Impact of Determinism on Learning Atari 2600 Games
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
Reinforcement Learning with Perceptual Aliasing: The Perceptual Distinctions Approach
Reverse Differentiation via Predictive Coding
Towards Interesting Patterns of Hard CSPs with Functional Constraints
Dropout Is NOT All You Need to Prevent Gradient Leakage
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution
A Fast Bandit Algorithm for Recommendation to Users With Heterogenous Tastes
The Inter-League Extension of the Traveling Tournament Problem and its Application to Sports Scheduling
Feature-Cost Sensitive Learning with Submodular Trees of Classifiers
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning
A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition
Discovering Procedural Executions of Rule-Based Programs
Symbolic Heuristic Search Value Iteration for Factored POMDPs
A Search Algorithm for Latent Variable Models with Unbounded Domains
An Average-Case Analysis of Graph Search
Robust Depth Completion with Uncertainty-Driven Loss Functions
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems
Hybrid Planning with Temporally Extended Goals for Sustainable Ocean Observing
Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems
A Complexity-of-Strategic-Behavior Comparison between Schulze's Rule and Ranked Pairs
Detecting and Identifying Coalitions
Automatic Inference in BLOG
Speculations on Leveraging Graphical Models for Architectural Integration of Visual Representation and Reasoning
Solving Very Large Weakly Coupled Markov Decision Processes
Mobile Emergency Triage Support System
Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System
Evaluating Critiquing-based Recommender Agents
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)