yusuke1997/dblp-id-title huggingface dataset:
Toward Learning to Press Doorbell Buttons
On Recognising Nearly Single-Crossing Preferences
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
An Artificial Discourse Language for Collaborative Negotiation
Winning the AAAI Robot Competition
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
Augmented Experiment in Material Engineering Using Machine Learning
Graphic Design with Large Multimodal Model
Bitbots: Simple Robots Solving Complex Tasks
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
Training-Free Quantum Architecture Search
Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization
BeeMo, a Monte Carlo Simulation Agent for Playing Parameterized Poker Squares
VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling
A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment
Deep Neural Networks for Learning Graph Representations
Semi-Supervised Learning From Crowds Using Deep Generative Models
Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models
Synchronous Interactive Decoding for Multilingual Neural Machine Translation
Empirical Assessment and Characterization of Homophily in Classes of Hate Speeches
Fuzzy Set Theory-Based Belief Processing for Natural Language Texts
Adopting Inference Networks for Online Thread Retrieval
Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning
Concept Matching with Agent for Out-of-Distribution Detection
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations
Interactive Human-Centric Bias Mitigation
Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
Variational Metric Scaling for Metric-Based Meta-Learning
Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract)
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection
Content Analysis for Proactive Intelligence: Marshaling Frame Evidence
Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World
An Incomplete Method for Solving Distributed Valued Constraint Satisfaction Problems
Fairness-Aware Structured Pruning in Transformers
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Learning by Fixing: Solving Math Word Problems with Weak Supervision
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
Multi-Modal Knowledge Hypergraph for Diverse Image Retrieval
Neuro-Symbolic Techniques for Description Logic Reasoning (Student Abstract)
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract)
Modeling Subjective Experience-Based Learning under Uncertainty and Frames
EvSTVSR: Event Guided Space-Time Video Super-Resolution
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract)
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data
Implicit Coordination Using FOND Planning
A Robust Adversarial Training Approach to Machine Reading Comprehension
Trap Avoidance in Local Search Using Pseudo-Conflict Learning
Hybrid Data-Free Knowledge Distillation
Permissive Planning: A Machine Learning Approach to Linking Internal and External Worlds
Selective Sampling for Nearest Neighbor Classifiers
Appearance-Motion Memory Consistency Network for Video Anomaly Detection
Markov Network Structure Learning: A Randomized Feature Generation Approach
Towards Joint Inference for Complex Ontology Matching
Preventing HIV Spread in Homeless Populations Using PSINET
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement
Learning Vine Copula Models for Synthetic Data Generation
On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces
A Scheduler for Actions with Iterated Durations
Envy-Free House Allocation under Uncertain Preferences
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios
Fully Spiking Variational Autoencoder
When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach
Deep Event Stereo Leveraged by Event-to-Image Translation
PASS: Patch Automatic Skip Scheme for Efficient Real-Time Video Perception on Edge Devices
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
Optimizing Hierarchical Classification with Adaptive Node Collapses
Learning Constraints and Optimization Criteria
Optimal Unbiased Estimators for Evaluating Agent Performance
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences
Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of Alzheimer's Disease
HS-FPN: High Frequency and Spatial Perception FPN for Tiny Object Detection
Supervised Ranking for Pronoun Resolution: Some Recent Improvements
Graph Structure Learning with Variational Information Bottleneck
Backdoor Trees
Belief Network Algorithms: A Study of Performance
Correct-by-Construction Reinforcement Learning of Cardiac Pacemakers from Duration Calculus Requirements
Delivering Inflated Explanations
Symmetrical Synthesis for Deep Metric Learning
Metaphysics of Planning Domain Descriptions
Decentralized Convergence to Equilibrium Prices in Trading Networks
Your Career Path Matters in Person-Job Fit
Building Agent Models in Economic Socities of Agents
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management
Deep Music: Towards Musical Dialogue
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA
Initializing RBF-Networks with Small Subsets of Training Examples
SSUN-Net: Spatial-Spectral Prior-Aware Unfolding Network for Pan-Sharpening
A Qualitative Physics Compiler
Get an A in Math: Progressive Rectification Prompting
Adaptive Orthogonal Projection for Batch and Online Continual Learning
Exploring Temporal Information Dynamics in Spiking Neural Networks
Reasoning under Varying and Uncertain Resource Constraints
Some Challenges in Tracking Agent Teams
MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion
Iterative Project Quasi-Newton Algorithm for Training RBM
Multi-View 3D Human Pose Estimation with Weakly Synchronized Images
Strategic Signaling and Free Information Disclosure in Auctions
Building a Large-Scale Knowledge Base for Machine Translation
SPAN: A Stochastic Projected Approximate Newton Method
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract)
Learning Word Meanings by Instruction
Robust Average-Reward Markov Decision Processes
Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs
Computing Nash Equilibrium in Interdependent Defense Games
MIDMs: Matching Interleaved Diffusion Models for Exemplar-Based Image Translation
Interactive Visualizations of Word Embeddings for K-12 Students
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks
Similarity Learning via Kernel Preserving Embedding
Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains
A Pragmatic Treatment of Quantification in Natural Language
Structured Sparsification of Gated Recurrent Neural Networks
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution
Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition
Learning with Group Noise
Temporal-Difference Learning With Sampling Baseline for Image Captioning
A Semi-Complete Disambiguation Algorithm for Open Text
Towards Projected and Incremental Pseudo-Boolean Model Counting
Automated Verification and Tightening of Failure Propagation Models
Causal Knowledge Extraction through Large-Scale Text Mining
Modeling and Monitoring Crop Disease in Developing Countries
Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Stereo Neural Vernier Caliper
CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization
Dynamic Social Choice with Evolving Preferences
Exploring Temporal Preservation Networks for Precise Temporal Action Localization
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation
Forecasting Asset Dependencies to Reduce Portfolio Risk
MINIMA: A Symbolic Approach to Qualitative Algebraic Reasoning
Augmenting the Reachable Space in the NAO Humanoid Robot
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning
Differentially Private Learning with Per-Sample Adaptive Clipping
Two Efficient Local Search Algorithms for Maximum Weight Clique Problem
Automatic Fact-Guided Sentence Modification
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation
Federated Foundation Models on Heterogeneous Time Series
Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation
z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning
Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management
MUDA: A Truthful Multi-Unit Double-Auction Mechanism
Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks
On the Actionability of Outcome Prediction
Mixing-Time Regularized Policy Gradient
Reputation-aware Revenue Allocation for Auction-based Federated Learning
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
Inducing Relational Knowledge from BERT
Ethical Understanding: Recognizing and Using Belief Conflict in Narrative Processing
Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective
RankDNN: Learning to Rank for Few-Shot Learning
Metrics for Finite Markov Decision Processes
EasyRL: A Simple and Extensible Reinforcement Learning Framework
Abstraction and Representation of Continuous Variables in Connectionist Networks
Temporally Grounding Language Queries in Videos by Contextual Boundary-Aware Prediction
Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation
Style Nursing with Spatial and Semantic Guidance for Zero-Shot Traffic Scene Style Transfer
Predicting Latent Narrative Mood Using Audio and Physiologic Data
A Metacognitive Classifier Using a Hybrid ACT-R/Leabra Architecture
Syntax Programming
Evolved Intrinsic Reward Functions for Reinforcement Learning
On the Logic of Defaults
Optimal Pricing for Submodular Valuations with Bounded Curvature
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning
User Modeling Using LSTM Networks
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
Transductive Zero-Shot Recognition via Shared Model Space Learning
Hubness Change Point Detection
Maximizing Influence in an Unknown Social Network
The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models
OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On
Emergence of Addictive Behaviors in Reinforcement Learning Agents
End-to-End Quantum-like Language Models with Application to Question Answering
Improving the Cross-Lingual Generalisation in Visual Question Answering
Automated Postediting of Documents
Color Event Enhanced Single-Exposure HDR Imaging
FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning
The Optimality of A* Revisited
Simpson's Bias in NLP Training
Benchmarking Large Language Models in Retrieval-Augmented Generation
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
End-to-End Learning for Optimization via Constraint-Enforcing Approximators
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
Compressing Transformers: Features Are Low-Rank, but Weights Are Not!
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
Semantics-Aware BERT for Language Understanding
A New Adversarial Perspective for LiDAR-based 3D Object Detection
Selfish Knapsack
Semisupervised Autoencoder for Sentiment Analysis
6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing
Parsing Run Amok: Relation-Driven Control for Text Analysis
Continuous Time in a SAT-Based Planner
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving
Query-Based Hard-Image Retrieval for Object Detection at Test Time
Approximating Optimal Social Choice under Metric Preferences
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning
Learning in Broker Agent
VACA: Designing Variational Graph Autoencoders for Causal Queries
Segmentation of Tweets with URLs and its Applications to Sentiment Analysis
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
Efficient Stochastic Optimization for Low-Rank Distance Metric Learning
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations
Language Learning in Large Parameter Spaces
Amalgamating Multi-Task Models with Heterogeneous Architectures
Partial Matchmaking using Approximate Subsumption
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Recognizing End-User Transactions in Performance Management
Marrying Uncertainty and Time in Knowledge Graphs
Online Knowledge Distillation with Diverse Peers
MSAmba: Exploring Multimodal Sentiment Analysis with State Space Models
Shielding in Resource-Constrained Goal POMDPs
Continuity Editing for 3D Animation
Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach
Person Tube Retrieval via Language Description
Signed Laplacian Graph Neural Networks
Qualitative Planning under Partial Observability in Multi-Agent Domains
Hierarchical Modeling with Tensor Inputs
Online Learning in Variable Feature Spaces under Incomplete Supervision
A Graphical Representation for Games in Partition Function Form
Contract-Based Distributed Scheduling for Distributed Processing
Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract)
Learning Engineering Models with the Minimum Description Length Principle
Delivering Guaranteed Display Ads under Reach and Frequency Requirements
Variational Pathway Reasoning for EEG Emotion Recognition
Uncertainty-aware Knowledge Tracing
Sense-Aaware Semantic Analysis: A Multi-Prototype Word Representation Model Using Wikipedia
Invariant Representations through Adversarial Forgetting
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Fuzzy Modeling Using Generalized Neural Networks and Kalman Filter Algorithm
Merging Statistical Feature via Adaptive Gate for Improved Text Classification
On Generalized Degree Fairness in Graph Neural Networks
DarkEmbed: Exploit Prediction With Neural Language Models
Graph Game Embedding
Relational Boosted Bandits
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
Fast Spectral Learning using Lanczos Eigenspace Projections
Algorithms for Propositional KB Approximation
Differentiable Fluids with Solid Coupling for Learning and Control
A Commentary on the Unsupervised Learning of Disentangled Representations
A Planning Approach to Active Visual Search in Large Environments
Lightweight and Robust Representation of Economic Scales from Satellite Imagery
Privacy-Utility Trade-Off for Time-Series with Application to Smart-Meter Data
Reinforcement Causal Structure Learning on Order Graph
Paving the Way for Novices: How to Teach AI for K-12 Education in China
Reasoning about Fluids via Molecular Collections
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Perceptual Quality Assessment of Omnidirectional Images
DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays
High-Confidence Off-Policy Evaluation
Sentiment Analysis with Global Topics and Local Dependency
D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks
Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
SR-AnoGAN: You Never Detect Alone. Super Resolution in Anomaly Detection (Student Abstract)
Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation
GiSS: Combining Gibbs Sampling and SampleSearch for Inference in Mixed Probabilistic and Deterministic Graphical Models
Open Domain Event Text Generation
Situated Agents Can Have Plans
Learning Tractable Probabilistic Models for Fault Localization
Estimating Quantitative Magnitudes Using Semantic Similarity
Online Detection of Abnormal Events Using Incremental Coding Length
Pricing Tasks in Online Labor Markets
Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation
The Intelligent Database Interface: Integrating AI and Database Systems
Temporal Pyramid Recurrent Neural Network
Planning for Geospatial Data Integration
Assessing Vulnerabilities in State-of-the-Art Large Language Models Through Hex Injection (Student Abstract)
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning
Model-Theoretic Semantics and Tractable Algorithm for CNF-BCP
Compact CFR
Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids
Sample-Targeted Clinical Trial Adaptation
Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis
Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers
Polarity Guided Tractable Reasoning
Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices
ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images
An Iterative Algorithm for Solving Constrained Decentralized Markov Decision Processes
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Learning Logistic Circuits
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning
Regression with Respect to Sensing Actions and Partial States
Handling Owl: sameAs via Rewriting
Greedy or Not? Best Improving versus First Improving Stochastic Local Search for MAXSAT
Situation Calculus on a Dense Flow of Time
A Scalable Tree-Based Approach for Joint Object and Pose Recognition
Algorithm Performance and Problem Structure for Flow-shop Scheduling
Experience-Aided Diagnosis for Complex Devices
Simultaneous Cake Cutting
Impact of Modeling Languages on the Theory and Practice in Planning Research
Differentiable Grammars for Videos
Action Branching Architectures for Deep Reinforcement Learning
Dialogue Rewriting via Skeleton-Guided Generation
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification
On the Use of Prime Implicates in Conformant Planning
BERT & Family Eat Word Salad: Experiments with Text Understanding
Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking (Student Abstract)
Analyzing Microtext, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 8, 2011
DAN: Deep Attention Neural Network for News Recommendation
Toward A Robust Method for Understanding the Replicability of Research
Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
Data Augmentations for Document Images
Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers
The Spatial Interaction Laboratory - A Distributed Middleware and Qualitative Representation for Ambient Intelligence
Towards Adversarial Reasoning in Statistical Relational Domains
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
Simple and Effective Synthesis of Indoor 3D Scenes
ProsodyTalker: 3D Visual Speech Animation via Prosody Decomposition
Transductive Ensemble Learning for Neural Machine Translation
Controllable Protein Sequence Generation with LLM Preference Optimization
Student Modeling for a Web-Based Learning Environment: A Data Mining Approach
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)
Co-Training Based Bilingual Sentiment Lexicon Learning
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image
Imbalanced Multiple Noisy Labeling for Supervised Learning
Learning Features and Abstract Actions for Computing Generalized Plans
Analogical Dialogue Acts: Supporting Learning by Reading Analogies in Instructional Texts
EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation
Object Recognition in Structured and Random Environments: Locating Address Blocks on Mail Pieces
Time-Independent Planning for Multiple Moving Agents
Large Language Models as Planning Domain Generators (Student Abstract)
Models of Continual Computation
CORMS AI: Decision Support System for Monitoring US Maritime Environment
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making
Clustering Player Strategies from Variable-Length Game Logs in Dominion
AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification
Distributed Machine Learning through Heterogeneous Edge Systems
Cross-Domain Human Parsing via Adversarial Feature and Label Adaptation
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection
Digitalkoot: Making Old Archives Accessible Using Crowdsourcing
Sparse Projections over Graph
Diversifying Query Suggestion Results
Constrained Reinforcement Learning in Hard Exploration Problems
Symmetric Component Caching for Model Counting on Combinatorial Instances
Rule Learning by Searching on Adapted Nets
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality
Avoiding Plagiarism in Markov Sequence Generation
Speedup Techniques for Switchable Temporal Plan Graph Optimization
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition