yusuke1997/dblp-id-title huggingface dataset:
Data Augmentation for Spoken Language Understanding via Joint Variational Generation
Recognition Algorithms for the Loom Classifier
Retention Score: Quantifying Jailbreak Risks for Vision Language Models
Regularization for Unsupervised Deep Neural Nets
Using First-Order Logic to Compress Sentences
Progression Semantics for Disjunctive Logic Programs
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling
AI Characters and Directors for Interactive Computer Games
Extracting Biomolecular Interactions Using Semantic Parsing of Biomedical Text
ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract)
Object Attribute Matters in Visual Question Answering
A Synthetic Prediction Market for Estimating Confidence in Published Work
Improving Robust Fariness via Balance Adversarial Training
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation
Online Parallel Boosting
On Social Envy-Freeness in Multi-Unit Markets
DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation
Building Higher-Order Abstractions from the Components of Recommender Systems
AAAI Organization
Assentor ® : An NLP-Based Solution to E-mail Monitoring
Compressing Cross-Lingual Multi-Task Models at Qualtrics
Towards Enhancing Road Safety in South Carolina Using Insights from Traffic and Driver-Education Data (Student Abstract)
An Experimentally Efficient Method for (MSS, CoMSS) Partitioning
Hybrid Propositional Encodings of Planning
Text Is No More Enough! A Benchmark for Profile-Based Spoken Language Understanding
Is It Harmful When Advisors Only Pretend to Be Honest?
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
Attention Beam: An Image Captioning Approach (Student Abstract)
Multi-scale Graph Fusion for Co-saliency Detection
Prototype-Based Reasoning: An Integrated Approach to Solving Large Novel Problems
Voter Priming Campaigns: Strategies, Equilibria, and Algorithms
Unified Spectral Clustering With Optimal Graph
Adversarial Deep Network Embedding for Cross-Network Node Classification
Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties
Knowledge Transfer with Interactive Learning of Semantic Relationships
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis
Conformant Graphplan
Personalizing a Dialogue System With Transfer Reinforcement Learning
RPSC: Robust Pseudo-Labeling for Semantic Clustering
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
Community-Based Trip Sharing for Urban Commuting
AMD: Autoregressive Motion Diffusion
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization
Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
Detecting and Reacting to Unplanned-for World States
ShakeTime! A Persuasive Robotic Game
Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization
Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains
Scalable Spatial Memory for Scene Rendering and Navigation
Gradual (In)Compatibility of Fairness Criteria
Experiments Towards Robotic Learning by Imitation
Less Is Better: Unweighted Data Subsampling via Influence Function
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
Tensor Graph Convolutional Networks for Text Classification
Kumaraswamy Wavelet for Heterophilic Scene Graph Generation
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
AISpace2: An Interactive Visualization Tool for Learning and Teaching Artificial Intelligence
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks
Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint
Large-Scale Localization from Wireless Signal Strength
Sampling with Memoization
Projective Relations for 3D Space: Computational Model, Application, and Psychological Evaluation
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception
Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval
Adapting Plans through Communication with Unknown Teammates
Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective
ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization
Building Goal-Oriented Dialogue Systems with Situated Visual Context
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough
Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract)
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation
Weighted Embeddings for Low-Dimensional Graph Representation
Multi-View Information-Bottleneck Representation Learning
Model AI Assignments 2024
Representation Learning: A Causal Perspective
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
Differentially Private Nonlinear Causal Discovery from Numerical Data
Spatial as Deep: Spatial CNN for Traffic Scene Understanding
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract)
What if the Irresponsible Teachers Are Dominating?
A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels
A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract)
The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts
Large Landscape Conservation - Synthetic and Real-World Datasets
High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets
Design of High Performance Help Desk Application and Its Implementation Results
Approximate Theory Formation: An Explanation-Based Approach
Low-Light Image Enhancement via Generative Perceptual Priors
End-to-End Trainable Non-Collaborative Dialog System
Artificial Intelligence and Design: A Mechanical Engineering View
Inferring Latent User Properties from Texts Published in Social Media
Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
Training-Time-Friendly Network for Real-Time Object Detection
Beyond OWL 2 QL in OBDA: Rewritings and Approximations
Ontological Reasoning with F-logic Lite and its Extensions
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Using Plan Reasoning in the Generation of Plan Descriptions
Non-parametric Representation Learning with Kernels
Fixed-Rank Supervised Metric Learning on Riemannian Manifold
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
Towards Text Knowledge Engineering
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
Managing Change in Graph-Structured Data Using Description Logics
Controlling the Spread of Two Secrets in Diverse Social Networks (Student Abstract)
On the Role of Canonicity in Knowledge Compilation
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms
Discriminative Feature Learning for Unsupervised Video Summarization
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection
Vector Causal Inference between Two Groups of Variables
Distance Minimization for Reward Learning from Scored Trajectories
Evaluation of Solving Models for Conditional Constraint Satisfaction Problems
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Population and Agent Based Models for Language Convergence
RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace
Arbitrary-Scale Video Super-resolution Guided by Dynamic Context
Clustering-Aided Approach for Predicting Patient Outcomes with Application to Elderly Healthcare in Ireland
Discovering Interpretable Data-to-Sequence Generators
Psychologically Based Virtual-Suspect for Interrogative Interview Training
CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder
An Architecture for Exploring Large Design Spaces
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
Deep Open Intent Classification with Adaptive Decision Boundary
ScriptEase - Motivational Behaviors for Interactive Characters in Computer Role-Playing Games
Towards Fine-Grained Reasoning for Fake News Detection
Convex Subspace Representation Learning from Multi-View Data
Classification by Attention: Scene Graph Classification with Prior Knowledge
Comprehensive Cross-Hierarchy Cluster Agreement Evaluation
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
Improving Simultaneous Mapping and Localization in 3D Using Global Constraints
Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach
Dealing with Ethical Conflicts in Autonomous Agents and Multi-Agent Systems
Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model
Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation
TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations
Majority Opinion Diffusion in Social Networks: An Adversarial Approach
On Succinct Groundings of HTN Planning Problems
Proceedings of the 4th Workshop on Affective Content Analysis (AffCon 2021) co-located with Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), February 9, 2021
Adversarial Dropout for Recurrent Neural Networks
Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing
A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract)
Exclusion Method for Finding Nash Equilibrium in Multiplayer Games
Interpretable Graph-Based Semi-Supervised Learning via Flows
Modelling Semantic Categories Using Conceptual Neighborhood
CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark
Equilibria in Heterogeneous Nonmonotonic Multi-Context Systems
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives
Detecting Review Spammer Groups
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
Particle Filter Recurrent Neural Networks
Patch-Wise Graph Contrastive Learning for Image Translation
Efficient Virtual View Selection for 3D Hand Pose Estimation
Perceptron Trees: A Case Study In Hybrid Concept Representations
Concurrent PAC RL
M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network
Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal Information
Dynamic Detection of Communities and Their Evolutions in Temporal Social Networks
Finding Optimal Strategies for Imperfect Information Games
Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data
Optimal Strategies for Reviewing Search Results
Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students
Explicit and Implicit Graduated Optimization in Deep Neural Networks
Orpheus: Engineering Multiagent Systems via Communicating Agents
Interaction Point Processes via Infinite Branching Model
A Randomized String Kernel and Its Application to RNA Interference
Brain-Mediated Transfer Learning of Convolutional Neural Networks
Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation
Trading Complexity for Sparsity in Random Forest Explanations
Multi-Level Cluster Indicator Decompositions of Matrices and Tensors
Coalitional Games in Open Anonymous Environments
Improving Variational Encoder-Decoders in Dialogue Generation
Temporal-Frequency Co-training for Time Series Semi-supervised Learning
Learning Causal Transition Matrix for Instance-dependent Label Noise
Near-Optimal Search in Continuous Domains
Tweet Timeline Generation with Determinantal Point Processes
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting
Quantilizers: A Safer Alternative to Maximizers for Limited Optimization
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
Collapsibility and Consistency in Quantified Constraint Satisfaction
Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments
Knowledge Distillation via Constrained Variational Inference
Accelerated Vector Pruning for Optimal POMDP Solvers
Conceptual Clustering Using Relational Information
Fast and Efficient Boolean Matrix Factorization by Geometric Segmentation
Bayesian Persuasion under Ex Ante and Ex Post Constraints
ViFactCheck: A New Benchmark Dataset and Methods for Multi-Domain News Fact-Checking In Vietnamese
Achieving Master Level Play in 9 x 9 Computer Go
Real-time Metareasoning with Dynamic Trade-off Evaluation
Learning to Learn Transferable Attack
Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification
Reliable and Efficient Anytime Skeleton Learning
Effect of Part-of-Speech and Lemmatization Filtering in Email Classification for Automatic Reply
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, SDU@AAAI 2022, Virtual Event, March 1, 2022
FoSp: Focus and Separation Network for Early Smoke Segmentation
Spatial Aggregation: Language and Applications
Latent Class Models for Algorithm Portfolio Methods
Dynamic Manifold Learning for Land Deformation Forecasting
A Demonstration of the RADAR Personal Assistant
On the Foundations of Qualitative Decision Theory
Comparison of the Rete and Treat Production Matchers for Soar
Invited Talk: Viewing History of Science as Compiled Hindsight
Transferring Multi-device Localization Models using Latent Multi-task Learning
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow
On Pareto Optimality in Social Distance Games
Learning Latent Engagement Patterns of Students in Online Courses
Electing Successive Committees: Complexity and Algorithms
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer
Unsupervised Learning with Truncated Gaussian Graphical Models
Progress on Agent Coordination with Cooperative Auctions
Latent Domains Modeling for Visual Domain Adaptation
Defending Black-Box Skeleton-Based Human Activity Classifiers
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
Improving Context and Category Matching for Entity Search
Backdoor Attacks via Machine Unlearning
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
PBA*: Using Proactive Search to Make A* Robust to Unplanned Deviations
Refinement Planning: Status and Prospectus
Data Science for Social Good - 2014 KDD Highlights
Neural Machine Translation with Joint Representation
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation
DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System
Wasserstein Differential Privacy
On Integrating Constraint Propagation and Linear Programming for Combinatorial Optimization
#hardtoparse: POS Tagging and Parsing the Twitterverse
Compilation Complexity of Common Voting Rules
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification
Text-Guided Molecule Generation with Diffusion Language Model
Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks
MARCOL: A Maritime Collision Avoidance Decision-Making Testbed
An Anytime Scheme for Bounding Posterior Beliefs
Integration of Planning with Recognition for Responsive Interaction Using Classical Planners
Comparing Plan Recognition Algorithms through Standard Libraries
Bounding Regret in Empirical Games
Back to the Future - Temporal Adaptation of Text Representations
Two-Dimensional Description Logics for Context-Based Semantic Interoperability
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns
Clustering on Complex Graphs
Representation Learning for Scale-Free Networks
RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment
Incorporating GAN for Negative Sampling in Knowledge Representation Learning
Emergence of Writing Systems through Multi-Agent Cooperation (Student Abstract)
An Epistemology for Clinically Significant Trends
New Admissible Heuristics for Domain-Independent Planning
Admissible Policy Teaching through Reward Design
DeepType: Multilingual Entity Linking by Neural Type System Evolution
Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues
Towards the Integration of Multi-Attribute Optimization and Game Theory for Border Security Patrolling Strategies
Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution
Towards Practical Classical Planning Compilations of Numeric Planning
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks
Solving the Auction-Based Task Allocation Problem in an Open Environment
Cost-Sensitive Test Strategies
ASKNet: Automated Semantic Knowledge Network
AFS: An Attention-Based Mechanism for Supervised Feature Selection
Training Autoencoders in Sparse Domain
Visual Learning of Arithmetic Operation
A Deep Learning Method for Document Shadow Removal with Sobel Prior under Mask Supervision
Agenda Separability in Judgment Aggregation
Social Interpretable Tree for Pedestrian Trajectory Prediction
Artificial Intelligence for Predictive and Evidence Based Architecture Design
Adaptive Region Embedding for Text Classification
Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract)
D-Node Retargeting in Bidirectional Heuristic Search
A Geometric Method to Construct Minimal Peer Prediction Mechanisms
Event-Driven Continuous Time Bayesian Networks
Protecting Wildlife under Imperfect Observation
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification
A Case Study of Incremental Concept Induction
Multi-Resolution Learning for Knowledge Transfer
Visual Reinforcement Learning with Residual Action
User Modeling and User Interfaces: A Case for Domain Models, Task Models, and Tailorability
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
Strategyproof Exchange with Multiple Private Endowments
POI2Vec: Geographical Latent Representation for Predicting Future Visitors
Representing Sequences in Description Logics
Boosting Few-Shot Learning via Attentive Feature Regularization
From IID to the Independent Mechanisms assumption in continual learning
Learn How to Query from Unlabeled Data Streams in Federated Learning
TransConv: Relationship Embedding in Social Networks
The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender
TransFG: A Transformer Architecture for Fine-Grained Recognition
Augmenting Online Algorithms for Knapsack Problem with Total Weight Information
From Semantic Models to Cognitive Buildings
Winning the DARPA Grand Challenge with an AI Robot
Adaptive Sampling Based Large-Scale Stochastic Resource Control
Multi-Scale Anomaly Detection on Attributed Networks
Kernel Density Estimation for Text-Based Geolocation
Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange
Generative Partial Visual-Tactile Fused Object Clustering
Personalized Reinforcement Learning with a Budget of Policies
Joint Dictionaries for Zero-Shot Learning
Solving the General Consistent Labeling (or Constraint Satisfaction) Problem: Two Algorithms and Their Expected Complexities
Federated Learning for Face Recognition with Gradient Correction
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
Decoupled Convolutions for CNNs
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics
Anytime, Complete Algorithm for Finding Utilitarian Optimal Solutions to STPPs
Synthesis of Geometry Proof Problems
Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples
Towards Robustness to Natural Variations and Distribution Shift (Student Abstract)
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision
Steps Towards a Science of Heuristic Search
AI Trust in Business Processes: The Need for Process-Aware Explanations
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
Sim2Real Object-Centric Keypoint Detection and Description
Learning to Shape Rewards Using a Game of Two Partners
Rethinking Object Detection in Retail Stores
Discrimination-Based Constructive Induction of Logic Programs
Partial Verification as a Substitute for Money
SOVGaussian: Sparse-View 3D Gaussian Splatting for Open-Vocabulary Scene Understanding
DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Human-Machine Collaboration for Fast Land Cover Mapping
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation
Planning and Acting with Non-Deterministic Events: Navigating between Safe States
Multilingual Code Snippets Training for Program Translation
Fully Dynamic Online Selection through Online Contention Resolution Schemes
Add Data into Business Process Verification: Bridging the Gap between Theory and Practice
Rank Ordering Constraints Elimination with Application for Kernel Learning
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging
Local Search for Diversified Top-k s-plex Search Problem (Student Abstract)
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning
Interactive Dual Generative Adversarial Networks for Image Captioning
Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment
Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria
Validating an Agent-Based Model of Human Password Behavior
Vision-Language Models for Robot Success Detection
A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
Bounding Causal Effects on Continuous Outcome
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging
Constraint-Based Preferences via Utility Hyper-Graphs
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models