yusuke1997/dblp-id-title huggingface dataset:
Studies in Solution Sampling
Federated Graph-Level Clustering Network
Retrospective Reader for Machine Reading Comprehension
CASEE: A Hierarchical Event Representation for the Analysis of Videos
Ultrafast Photorealistic Style Transfer via Neural Architecture Search
ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations
Release the Power of Online-Training for Robust Visual Tracking
Learning for General Competency in Video Games, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015
Extracting Bounded-Level Modules from Deductive RDF Triplestores
Topic Segmentation with an Ordering-Based Topic Model
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
Unsupervised Articulated Skeleton Extraction From Point Set Sequences Captured by a Single Depth Camera
Towards Detecting Rumours in Social Media
Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks
From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma
DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System
Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification
What's Hot in the SAT and ASP Competitions
MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract)
Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge
Beyond GNNs: An Efficient Architecture for Graph Problems
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain
Evolving Parameterized Prompt Memory for Continual Learning
Applied Adversarial Reasoning and Risk Modeling, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 7, 2011
Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract)
In-context Prompt-augmented Micro-video Popularity Prediction
Performing Incremental Bayesian Inference by Dynamic Model Counting
Are Expressive Models Truly Necessary for Offline RL?
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation
Conditional Term Equivalent Symmetry Breaking for SAT
Bridging the AI Gap: Evaluating the Impact of an AI Education Program for Caregivers on Parental Leave
Why Do Attributes Propagate in Graph Convolutional Neural Networks?
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health
A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation
Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification
Efficient Compact Bilinear Pooling via Kronecker Product
Role-Aware Conformity Modeling and Analysis in Social Networks
Merging Path Planners and Controllers through Local Context
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?
Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion
Rushing and Strolling among Answer Sets - Navigation Made Easy
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread
Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference
Incentivizing High Quality User Contributions: New Arm Generation in Bandit Learning
Natural Language Dialogue for Building and Learning Models and Structures
Top-N Recommender System via Matrix Completion
A SAT Solver and Computer Algebra Attack on the Minimum Kochen-Specker Problem (Student Abstract)
Attentive Experience Replay
Detecting and Corrupting Convolution-based Unlearnable Examples
A Word-Finding Algorithm with a Dynamic Lexical-Semantic Memory for Patients with Anomia Using a Speech Prosthesis
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract)
Improved Anonymous Multi-Agent Path Finding Algorithm
Contextually Supervised Source Separation with Application to Energy Disaggregation
Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data
People Do Not Just Plan, They Plan to Plan
Enhancing Robotics with Cognitive Capabilities
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models
Policy Communication for Coordination with Unknown Teammates
Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification
SWIRL: An Object-Oriented Air Battle Simulator
Task Planning for Object Rearrangement in Multi-Room Environments
Optimization and Coordinated Autonomy in Mobile Fulfillment Systems
Neuroevolution of a Multi-Generator GAN (Student Abstract)
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data
Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution
Persistence of Anti-vaccine Sentiment in Social Networks Through Strategic Interactions
Interference as a Tool for Designing and Evaluating Multi-Robot Controllers
Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction
Importance Assessment in Scholarly Networks
Rethinking the Two-Stage Framework for Grounded Situation Recognition
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
Strategic Features for General Games
A Computation-Aware Shape Loss Function for Point Cloud Completion
Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer
Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks
DCAN: Improving Temporal Action Detection via Dual Context Aggregation
Open-Universe Weighted Model Counting: Extended Abstract
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization
Frame and Feature-Context Video Super-Resolution
Continuous-Time Attention for Sequential Learning
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
Zero-Resource Cross-Lingual Named Entity Recognition
CVE-LLM: Ontology-Assisted Automatic Vulnerability Evaluation Using Large Language Models
Lexical Imprecision in Fuzzy Constraint Networks
Representing Multiple Theories
Customer Coalitions in the Electronic Marketplace
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion
Maximum Entropy Context Models for Ranking Biographical Answers to Open-Domain Definition Questions
A Mutually Beneficial Integration of Data Mining and Information Extraction
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks
Dynamic Modeling Cross- and Self-Lattice Attention Network for Chinese NER
Adaptive Graph Learning for Multimodal Conversational Emotion Detection
SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
Multi-View Partial Multi-Label Learning with Graph-Based Disambiguation
Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling
Scalable Multitask Policy Gradient Reinforcement Learning
A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation
Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning
Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA
FOLL-E: Teaching First Order Logic to Children
Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data
Exploring Non-target Knowledge for Improving Ensemble Universal Adversarial Attacks
SIG: Speaker Identification in Literature via Prompt-Based Generation
Scalable Motion Style Transfer with Constrained Diffusion Generation
Semantic Search in Linked Data: Opportunities and Challenges
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection
Zero-Shot Noise2Mean: Gap Minimization for Efficient Denoising from a Single Noisy Image
Personalized Reasoner Based on Belief Strengths of Information Sources
Active Learning for Informative Projection Retrieval
Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation
Adversarial Bone Length Attack on Action Recognition
General Video Game AI: Competition, Challenges and Opportunities
Unified Named Entity Recognition as Word-Word Relation Classification
Generalizable Sleep Staging via Multi-Level Domain Alignment
Towards Better Variational Encoder-Decoders in Seq2Seq Tasks
Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction
Structural Decompositions of Epistemic Logic Programs
Incremental Weight Elicitation for Multiobjective State Space Search
Search versus Knowledge for Solving Life and Death Problems in Go
Fuzzy Induction in Dynamic User Profiling for Information Filtering
HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data
Robust Supervised Learning
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
Optimized Gradient Clipping for Noisy Label Learning
Anatomizing Bias in Facial Analysis
CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification
Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models
Numerical Pruning for Efficient Autoregressive Models
Neural Diffeomorphic Non-uniform B-spline Flows
Preallocation and Planning Under Stochastic Resource Constraints
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
Symmetry Detection in General Game Playing
Learning Dense Correspondence for NeRF-Based Face Reenactment
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
Time Complexity of Iterative-Deepening A*: The Informativeness Pathology (Abstract)
Adaptive Advice in Automobile Climate Control Systems
Project RISE: Recognizing Industrial Smoke Emissions
Online Group Feature Selection from Feature Streams
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment
Mobile Robot Mapping and Localization in Non-Static Environments
Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features
Sublinear Time Approximation of Text Similarity Matrices
Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Lifted Message Passing for Satisfiability
Using Commodity Parts to Build a Low-Cost Autonomous Robot
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
Neural Closure Certificates
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective
nFOIL: Integrating Naïve Bayes and FOIL
Using Matched Samples to Estimate the Effects of Exercise on Mental Health via Twitter
Long Legal Article Question Answering via Cascaded Key Segment Learning (Student Abstract)
MASS: Overcoming Language Bias in Image-Text Matching
Temporal Reasoning During Plan Recognition
Large Scaled Relation Extraction With Reinforcement Learning
Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems
TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model
Efficient Issue-Grouping Approach for Multi-Issues Negotiation between Exaggerator Agents
Hyperequivalence of Logic Programs with Respect to Supported Models
Generating Natural Language Attacks in a Hard Label Black Box Setting
Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
A Program That Learns to Solve Rubik's Cube
Solving Linear Pseudo-Boolean Constraint Problems with Local Search
Mixed-Integer Programming Methods for Finding Nash Equilibria
AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract)
Counting, Ranking, and Randomly Generating CP-Nets
On the Complexity of Finding Justifications for Collective Decisions
Sparse Representations for Fast, One-Shot Learning
A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency
Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks
Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract)
The Positronic Economist: A Computational System for Analyzing Economic Mechanisms
Task and Motion Planning Is PSPACE-Complete
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer
The RhetFig Project: Computational Rhetorics and Models of Persuasion
A Fast Pairwise Heuristic for Planning under Uncertainty
A Theory of Expressiveness in Mechanisms
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search
A Theory of Metric Spatial Inference
Rethinking Multi-Scale Representations in Deep Deraining Transformer
The IMP: An Intelligent Mobile Projector
System-Z+: A Formalism for Reasoning with Variable-Strength Defaults
A Logical Analysis of Hanabi
A representation reducing approach to scientific discovery
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning
Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends
Learning Modulated Loss for Rotated Object Detection
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
Detection of Multiple Deformable Objects using PCA-SIFT
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract)
Integrating AI Components for a Military Planning Application
Event Representations With Tensor-Based Compositions
Judgment Prediction via Injecting Legal Knowledge into Neural Networks
Definition Modeling: Learning to Define Word Embeddings in Natural Language
Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization
Modeling Motion With Qualitative Process Theory
Substructure Aware Graph Neural Networks
Tensorized Attention for Understanding Multi-Object Relationships
Efficiency and Safety in Autonomous Vehicles Through Planning With Uncertainty
Bounding the Cost of Learned Rules: A Transformational Approach
Creating Interactive Crowds with Reinforcement Learning
Learning of Structurally Unambiguous Probabilistic Grammars
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion
Combining Constraint Propagation and Backtracking for Distributed Engineering
Computing the Nucleolus of Matching, Cover and Clique Games
Towards Reliable Item Sampling for Recommendation Evaluation
Learning to Adaptively Scale Recurrent Neural Networks
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
WordNet: : Similarity - Measuring the Relatedness of Concepts
Presenting and Analyzing the Results of AI Experiments: Data Averaging and Data Snooping
Reactive Synthesis of Dominant Strategies
GAS: Generative Activation-Aided Asynchronous Split Federated Learning
Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods
Building Strong Semi-Autonomous Systems
Learnable Dynamic Temporal Pooling for Time Series Classification
DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks
Heuristics and Symmetries in Classical Planning
Combined Reinforcement Learning via Abstract Representations
Optimizing Gene-Based Testing for Antibiotic Resistance Prediction
Decompositions in Compositional Translation of LTLf to DFA (Student Abstract)
Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions
Hard Problems for CSP Algorithms
Search Lessons Learned from Crossword Puzzles
Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract)
Unsupervised Activity Recognition Using Automatically Mined Common Sense
Practical Temporal Projection
Allocating Planning Effort When Actions Expire
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data
The Max K- Armed Bandit: A New Model of Exploration Applied to Search Heuristic Selection
Combining Probabilistic Planning and Logic Programming on Mobile Robots
FaceRSA: RSA-Aware Facial Identity Cryptography Framework
Learning Goal-Decomposition Rules Using Exercises
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection
Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract)
Generating Satisfiable Problem Instances
A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals
Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract)
DELTA-MIN: A Search-Control Method for Information-Gathering Problems
Prompt-based Unifying Inference Attack on Graph Neural Networks
Selection and Ranking of Propositional Formulas for Large-Scale Service Directories
Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility
Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing Problem
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection
HIKE (HPKB Integrated Knowledge Environment) - A Query Interface and Integrated Knowledge Environment for HPKB
KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation
Assessing the Maintainability of XCON-in-RIME: Coping with the Problems of a VERY Large Rule-Base
Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
Competence in Knowledge Representation
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
A Convex Formulation for Learning from Crowds
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
Plan Abstraction Based on Operator Generalization
Online Fair Division: A Survey
Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers
Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty
MA-DST: Multi-Attention-Based Scalable Dialog State Tracking
Minimally-Constrained Multilingual Embeddings via Artificial Code-Switching
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning
Accuracy and Timeliness in ML Based Activity Recognition
Proof Methods in an Agenda-Based Natural-Deduction Theorem Prover
Talking About AI: Socially Defined Linguistic Subcontexts in AI
A Platform to Evaluate the Technology for Service Discovery in the Semantic Web
Nondeterministic Lisp as a Substrate for Constraint Logic Programming
A Knowledge Transfer Framework for Differentially Private Sparse Learning
Power System Restoration With Transient Stability
The SIGNAL Expert System
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering
Learning a Generalized Gaze Estimator from Gaze-Consistent Feature
BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement
Dispatch Guided Allocation Optimization for Effective Emergency Response
Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms
Hardware and Software Architectures for Efficient AI
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning
Perception, Memory, and the Field of View Problem
CUI Networks: A Graphical Representation for Conditional Utility Independence
A Declarative Approach to Bias in Concept Learning
Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis
Exploiting Performance-based Similarity between Datasets in Metalearning
Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text
Symbolic Domain Predictive Control
Statistical Parsing with a Context-Free Grammar and Word Statistics
A Semantical Account of Progression in the Presence of Uncertainty
Focused Inference and System P
Representation-driven Option Discovery in Reinforcement Learning
Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification
Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling
The TaskTracker System
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
Query Answering with Guarded Existential Rules under Stable Model Semantics
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines
Fair and Efficient Allocations with Limited Demands
Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval
A Closer Look at the Probabilistic Description Logic Prob-EL
CL-Aff Deep semisupervised clustering
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
Intra-View and Inter-View Supervised Correlation Analysis for Multi-View Feature Learning
Colorization by Patch-Based Local Low-Rank Matrix Completion
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation
Optimal Regression for Reasoning about Knowledge and Actions
Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models
COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations (Student Abstract)
Counting CSP Solutions Using Generalized XOR Constraints
Relational One-Class Classification: A Non-Parametric Approach
Exploring Human-Like Attention Supervision in Visual Question Answering
C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness
PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning
Single Image Rolling Shutter Removal with Diffusion Models
ITRIX - an AI Enabled Solution for Orchestration of Recovery Instructions
Succinct Set-Encoding for State-Space Search
MultiBooth: Towards Generating All Your Concepts in an Image from Text
Lifelong Person Re-identification by Pseudo Task Knowledge Preservation
Aggregating Inter-Sentence Information to Enhance Relation Extraction