yusuke1997/dblp-id-title huggingface dataset:
Sampling Random Chordal Graphs by MCMC (Student Abstract)
Image-to-video Adaptation with Outlier Modeling and Robust Self-learning
DOGE-Train: Discrete Optimization on GPU with End-to-End Training
Augmenting Policy Learning with Routines Discovered from a Single Demonstration
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract)
A Probabilistic-Logical Framework for Ontology Matching
Back to the Future of Integrated Robot Systems
Data-driven Competitive Algorithms for Online Knapsack and Set Cover
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
Transferable Utility Planning Games
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching
Abstraction Sampling in Graphical Models
Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees
Domain Generalization via Conditional Invariant Representations
K3S: Knowledge-Driven Solution Support System
Qualitative Rigid Body Mechanics
A Learning Architecture for Automating the Intelligent Environment
Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning
EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition
Efficient Collaborative Crowdsourcing
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments
A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories
Mixed-Initiative Interfaces for Slide-Ware Authoring and Presentation
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
Joint Word Segmentation, POS-Tagging and Syntactic Chunking
Entity Alignment between Knowledge Graphs Using Attribute Embeddings
On the PTAS for Maximin Shares in an Indivisible Mixed Manna
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
Selective Experience Replay for Lifelong Learning
SubSpace Capsule Network
Biased Incomplete Multi-View Learning
Motion-Based Autonomous Grounding: Inferring External World Properties from Encoded Internal Sensory States Alone
Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection
Far3D: Expanding the Horizon for Surround-View 3D Object Detection
Robust Fairness Under Covariate Shift
Goal Specification, Non-Determinism and Quantifying over Policies
Semantic Connection Based Topic Evolution
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games
Detecting Social Ties and Copying Events from Affiliation Data
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
Partial Multi-Label Learning by Low-Rank and Sparse Decomposition
Decentralised Learning in Systems With Many, Many Strategic Agents
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing
Label-Free Backdoor Attacks in Vertical Federated Learning
Mutual Contrastive Learning for Visual Representation Learning
A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction
"8 Amazing Secrets for Getting More Clicks": Detecting Clickbaits in News Streams Using Article Informality
Belief Revision Games
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification
Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration
FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates
Learning Multi-Object Positional Relationships via Emergent Communication
Merging Objects and Logic Programming: Relational Semantics
Wormhole Hamiltonian Monte Carlo
What can Knowledge Representation do for Semi-Structured Data?
KnowIT VQA: Answering Knowledge-Based Questions about Videos
Multi-Label Classification: Inconsistency and Class Balanced K-Nearest Neighbor
Learning Voting Trees
UAWTrack: Universal 3D Single Object Tracking in Adverse Weather
Attacks on Machine Learning: Lurking Danger for Accountability
Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models
Causal Inference via Sparse Additive Models with Application to Online Advertising
Extracting Effective and Admissible State Space Heuristics from the Planning Graph
A Hybrid Connectionist, Symbolic Learning System
Modeling Strategies as Programs: How to Study Strategy Differences in Intelligent Systems with Program Synthesis
Deep Reinforcement Learning with Double Q-Learning
Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model
NewsBag: A Benchmark Multimodal Dataset for Fake News Detection
Exploiting Subjectivity Classification to Improve Information Extraction
Automatic Ellipsis Resolution: Recovering Covert Information from Text
Effect of Spatial Pooler Initialization on Column Activity in Hierarchical Temporal Memory
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS
EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering
Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering
Analyzing NIH Funding Patterns over Time with Statistical Text Analysis
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping
The Value of Recall in Extensive-Form Games
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response
Spectra of Cardinality Queries over Description Logic Knowledge Bases
Towards Scalable Exploration of Diagnoses in an Ontology Stream
Scalable Integration of Analytics and Visualization, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 07, 2011
Adversarial Attack for Asynchronous Event-Based Data
Satisfying First-Order Constraints About Time Intervals
HoneypotNet: Backdoor Attacks Against Model Extraction
Wishart Mechanism for Differentially Private Principal Components Analysis
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems
REVECA: Adaptive Planning and Trajectory-Based Validation in Cooperative Language Agents Using Information Relevance and Relative Proximity
Lifted Probabilistic Inference with Counting Formulas
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
Constraint-Based Entity Matching
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs
The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018
Laneformer: Object-Aware Row-Column Transformers for Lane Detection
Reciprocal Collision Avoidance for Quadrotor Helicopters Using LQR-Obstacles
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
Instance-Based Domain Adaptation in NLP via In-Target-Domain Logistic Approximation
Locality Preserving Projection Based on F-norm
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
Influence-Driven Model for Time Series Prediction from Partial Observations
MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning
The PELA Architecture: Integrating Planning and Learning to Improve Execution
Proceedings of the 9th National Conference on Artificial Intelligence, Anaheim, CA, USA, July 14-19, 1991, Volume 1
Crowdsourcing Complex Workflows under Budget Constraints
Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
Extraction of Interaction Events for Learning Reasonable Behavior in an Open-World Survival Game
Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance
Fuzzy Collaborative Reasoning
Modeling the Compatibility of Stem Tracks to Generate Music Mashups
Theory Reduction, Theory Revision, and Retranslation
BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind
An Efficient Motion Planning Algorithm for Stochastic Dynamic Systems with Constraints on Probability of Failure
A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis
Multi-View Adjacency-Constrained Nearest Neighbor Clustering (Student Abstract)
Simple Unsupervised Graph Representation Learning
Recognizing Multitasked Activities from Video Using Stochastic Context-Free Grammar
Successive Halving Top-k Operator
Bargaining with Deadlines
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks
SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint
A Qualitative Model for Space
Deep Fusing Pre-trained Models into Neural Machine Translation
Transferring Localization Models over Time
Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets
Fast SAT-based Answer Set Solver
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling
A Fuzzy Controller for Flakey, the Robot
Exploring Transformer Extrapolation
An Efficient ATMS for Equivalence Relations
AI for Social Good: Between My Research and the Real World
Near-optimal Observation Selection using Submodular Functions
Knowledge Forgetting in Circumscription: A Preliminary Report
Symmetric Rendezvous in Planar Environments With and Without Obstacles
Fast SSP Solvers Using Short-Sighted Labeling
ChemReg: Using Case-Based Reasoning to Support Health and Safety Compliance in the Chemical Industry
Worst-Case Voting When the Stakes Are High
Why Dissect a Frog When You Can Simulate a Lion?
LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining
On the Disruptive Effectiveness of Automated Planning for LTL f -Based Trace Alignment
Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity
Participatory Machine Learning Models in Feminicide News Alert Detection
Reasoning about Sensing Actions and Reactivity
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence
Quantized Memory-Augmented Neural Networks
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
Interactive Task Learning with Discrete and Continuous Features
Implicit Discourse Relation Classification via Multi-Task Neural Networks
Question Difficulty Prediction for READING Problems in Standard Tests
SAT-Based versus CSP-Based Constraint Weighting for Satisfiability
Gated Neural Networks for Targeted Sentiment Analysis
Specialized Strategies: An Altenative to First Principles in Diagnostic Problem Solving
Multi-label Self Knowledge Distillation
IMS-DTM: Incremental Multi-Scale Dynamic Topic Models
SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
A Framework for Integrating Fault Diagnosis and Incremental Knowledge Acquisition in Connectionist Expert Systems
Coupled Semi-Supervised Learning for Chinese Knowledge Extraction
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity
Beyond Classical Planning: Procedural Control Knowledge and Preferences in State-of-the-Art Planners
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level
Large Scale Temporal RDFS Reasoning Using MapReduce
Exploiting Problem Structure in Genetic Algorithms
Planning in Domains with Cost Function Dependent Actions
Union Subgraph Neural Networks
Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward
A Multi-Agent Approach to Distributed Rendering Optimization
Human Action Transfer Based on 3D Model Reconstruction
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
Representing Actions and State Constraints in Model-Based Diagnosis
Bootstrap Stereo
Model AI Assignments 2019
Substructure Discovery Using Minimum Description Length Principle and Background Knowledge
Adding Knowledge to the Action Description Language A
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution
A Linear-Programming Approach to Temporal Reasoning
Evaluating Digital Agriculture Recommendations with Causal Inference
Dynamic Multiagent Resource Allocation: Integrating Auctions and MDPs for Real-Time Decisions
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment
Water Conservation Through Facilitation on Residential Landscapes
R-CAST: Integrating Team Intelligence for Human-Centered Teamwork
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud
Efficient Model-Driven Network for Shadow Removal
When Can the Maximin Share Guarantee Be Guaranteed?
Ad Hoc Teamwork in Variations of the Pursuit Domain
Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching
Shrinking Temporal Attention in Transformers for Video Action Recognition
Community-Aware Multi-Task Transportation Demand Prediction
Elimination Ordering in Lifted First-Order Probabilistic Inference
On Multi-Class Cost-Sensitive Learning
Tree Based Discretization for Continuous State Space Reinforcement Learning
Learning Deep ℓ 0 Encoders
Loop Formulas for Logic Programs with Arbitrary Constraint Atoms
Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract)
Bi-Level Actor-Critic for Multi-Agent Coordination
Hierarchical Voting Experts: An Unsupervised Algorithm for Segmenting Hierarchically Structured Sequences
Nested Named Entity Recognition as Building Local Hypergraphs
Child-Centred Motion-Based Age and Gender Estimation with Neural Network Learning
Agents That Work in Harmony by Knowing and Fulfilling Their Obligations
Diverse Exploration via Conjugate Policies for Policy Gradient Methods
Writing Polishment with Simile: Task, Dataset and A Neural Approach
Credulous Resolution for Answer Set Programming
Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning
Multi-View Representation Learning with Manifold Smoothness
L* Parsing: A General Framework for Syntactic Analysis of Natural Language
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction
Predicting Gaming Related Properties from Twitter Accounts
Detecting Unsatisfiable CSPs by Coloring the Micro-Structure
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty
Re-Attention for Visual Question Answering
Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge
Racing Control Variable Genetic Programming for Symbolic Regression
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification
Disambiguating Noun Compounds
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
Estimating Card Fitness for Discard in Gin Rummy
Temporal Milestones in HTNs
Generating Realistic Stock Market Order Streams
Learning Complex 3D Human Self-Contact
Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis
Safe Exploration and Optimization of Constrained MDPs Using Gaussian Processes
Cross-Lingual Natural Language Generation via Pre-Training
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale
Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar
Multi-Scale Self-Attention for Text Classification
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction
WIERT: Web Information Extraction via Render Tree
Bidirectional Transition-Based Dependency Parsing
APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising
Feature-Level Debiased Natural Language Understanding
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity
Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions
Tracking Known Three-Dimensional Objects
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially
Multi-Fidelity Robotic Behaviors: Acting with Variable State Information
Coping with Uncertainty in a Control System for Navigation and Exploration
Hindsight and Sequential Rationality of Correlated Play
Generalized Sampling and Variance in Counterfactual Regret Minimization
Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis
Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation
Learnability of Parameter-Bounded Bayes Nets
Expectation-based Learning in Design
PlanLLM: Video Procedure Planning with Refinable Large Language Models
Accessible Hardware Implementation for Multi-Agent Collective Construction
Effects of Faulty Knowledge Engineering on Structured Classification Learning
Trusted Multi-View Deep Learning with Opinion Aggregation
Artificial Dummies for Urban Dataset Augmentation
Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver
ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets
Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
Superstabilizing, Fault-Containing Distributed Combinatorial Optimization
Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation
Learning Language Structures Through Grounding
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework
DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking
Planning as Satisfiability in Nondeterministic Domains
Position-Based Social Choice Methods for Intransitive Incomplete Pairwise Vote Sets (Student Abstract)
Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
Fast Multi-Instance Multi-Label Learning
Efficient Encoding of Cost Optimal Delete-Free Planning as SAT
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration
HOP to the Next Tasks and Domains for Continual Learning in NLP
Reasoning about Action Using a Possible Models Approach
Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition
SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
Android Malware Detection with Weak Ground Truth Data
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework
A Case Study of the Shortcut Effects in Visual Commonsense Reasoning
Hybrid Graph Neural Networks for Few-Shot Learning
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution
DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction
Batting Order Setup in One Day International Cricket
Span Model for Open Information Extraction on Accurate Corpus
Activity Recognition Based on Home to Home Transfer Learning
On Hair Recognition in the Wild by Machine
Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
Heterogeneous Multirobot Coordination with Spatial and Temporal Constraints
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
Joint Training for Neural Machine Translation Models with Monolingual Data
Flaky Performances When Pretraining on Relational Databases (Student Abstract)
Globally and Locally Consistent Unsupervised Projection
On Covering Codes and Upper Bounds for the Dimension of Simple Games
Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion
Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem
Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera
Multi-View Deep Attention Network for Reinforcement Learning (Student Abstract)
Unknown Rewards in Finite-Horizon Domains
Analyzing Games with a Variable Number of Players
Towards Diagram Processing: A Diagrammatic Information System
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
DL-$elect: A Decision-List-Based Data-Mining System
Differentially Private Condorcet Voting
Synthetic Photographs for Learning Aesthetic Preferences
A Probabilistic Interpretation for Lazy Nonmonotonic Reasoning
Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation
On the Completeness of Best-First Search Variants That Use Random Exploration
Keypoint Message Passing for Video-Based Person Re-identification
Shallow Blue: Lego-Based Embodied AI as a Platform for Cross-Curricular Project Based Learning
Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty
Action Schema Networks: Generalised Policies With Deep Learning
Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic
The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning
Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling
Using Joint Responsibility to Coordinate Collaborative Problem Solving in Dynamic Environments
Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning
On Computing Minimal Models
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
Multi-Modal Grounded Planning and Efficient Replanning for Learning Embodied Agents with a Few Examples
SetA*: An Efficient BDD-Based Heuristic Search Algorithm
Semantic Feature Discovery with Code Mining and Semantic Type Detection
Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation
Multi-Organ Exchange: The Whole Is Greater than the Sum of its Parts
Towards Automated Modeling Assistance: An Efficient Approach for Repairing Flawed Planning Domains
M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection
Enhancing Portuguese Variety Identification with Cross-Domain Approaches
Approximate Counting by Sampling the Backtrack-free Search Space