yusuke1997/dblp-id-title huggingface dataset:
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation
Why and What to Teach: AI Curriculum for Elementary School
Selectively Reactive Coordination for a Team of Robot Soccer Champions
The Complexity of Stable Matchings under Substitutable Preferences
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
Back to the Future for Dialogue Research
Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision
A Bregman Divergence Optimization Framework for Ranking on Data Manifold and Its New Extensions
Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation
Rapid Learning in Constrained Minimax Games with Negative Momentum
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models
Translucent Answer Predictions in Multi-Hop Reading Comprehension
Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification (short paper)
Dominant-Strategy Auction Design for Agents with Uncertain, Private Values
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference
Question Answering as Global Reasoning Over Semantic Abstractions
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution
Learning Complex Stand-Up Motion for Humanoid Robots
Learning Small Decision Trees for Data of Low Rank-Width
A Hybrid Approach to Convoy Movement Planning in an Urban City
Formalizing Convergent Instrumental Goals
Visual Semantics: Extracting Visual information from Text Accompanying Pictures
Learning to Recommend Quotes for Writing
Dynamic Knowledge Injection for AIXI Agents
Several Stories about High-Multiplicity EFx Allocation (Student Abstract)
Designing Better Playlists with Monte Carlo Tree Search
Learning Games from Videos Guided by Descriptive Complexity
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Reasoning on LTL on Finite Traces: Insensitivity to Infiniteness
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya
Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach
Knowledge Integration for Description Logics
An Efficient Framework for Dense Video Captioning
Approximation and Hardness of Shift-Bribery
Strategies for Determining Causes of Events
Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract)
Non-Metric Locality-Sensitive Hashing
Abduction with Bounded Treewidth: From Theoretical Tractability to Practically Efficient Computation
Activity Recognition Through Complex Event Processing: First Findings
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
Label Attentive Distillation for GNN-Based Graph Classification
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data
Private Rank Aggregation in Central and Local Models
Interpreting Line Drawings as Three-Dimensional Surfaces
Discovering and Distinguishing Multiple Visual Senses for Polysemous Words
Tensor-Variate Restricted Boltzmann Machines
Sensible Decisions: Toward a Theory of Decision-Theoretic Information Invariants
Robust Video Portrait Reenactment via Personalized Representation Quantization
Error Aware Monocular Visual Odometry using Vertical Line Pairs for Small Robots in Urban Areas
Focusing in Plan Recognition
Learning Object Context for Dense Captioning
IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via Initialization Perspective
Learning Production Functions for Supply Chains with Graph Neural Networks
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States
Automatic Heuristic Construction for General Game Playing
FastLGS: Speeding Up Language Embedded Gaussians with Feature Grid Mapping
Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval
Spatial Navigation with Uncertain Deviations
On the Reconstruction of a Scene from Two Unregistered Images
Unsupervised Shilling Detection for Collaborative Filtering
ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition
Evolving Adaptive Poker Players for Effective Opponent Exploitation
Surveys without Questions: A Reinforcement Learning Approach
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010
Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective
Ranking-Based Deep Cross-Modal Hashing
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System
Segmenting Time Series with a Hybrid Neural Networks - Hidden Markov Model
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
Learning Models of Intelligent Agents
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting
Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Agent-Based Modeling with Social Networks for Terrorist Recruitment
Efficient Optimization of Control Libraries
Modeling Constraints Can Identify Winning Arguments in Multi-Party Interactions (Student Abstract)
Optimal Kidney Exchange with Immunosuppressants
Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge
Bootstrap Learning for Place Recognition
Analogical Inference Enhanced Knowledge Graph Embedding
A Kernel-Based Iterative Combinatorial Auction
An Ordinal Data Clustering Algorithm with Automated Distance Learning
Off-Policy Evaluation in Partially Observable Environments
Recognizing Complex Activities by a Probabilistic Interval-Based Model
Multi-Branch Self-Drafting for LLM Inference Acceleration
Towards Learning From Stories: An Approach to Interactive Machine Learning
Design and Analysis of Value Creation Networks
Emotion Detection on TV Show Transcripts with Sequence-Based Convolutional Neural Networks
Top-k Hierarchical Classification
Robot Planning
Hybrid Quantum-Classical Style Transfer (Student Abstract)
Improving Scene Graph Classification by Exploiting Knowledge from Texts
Finding Optimal Solutions to the Twenty-Four Puzzle
Respecting Markov Equivalence in Computing Posterior Probabilities of Causal Graphical Features
Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model
Hypernetwork Approach to Bayesian MAML (Student Abstract)
Tree Sequence Kernel for Natural Language
Distributed Breakout Revisited
Multi-Task Learning For Parsing The Alexa Meaning Representation Language
EGSRAL: An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking
OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation
Relational Program Synthesis with Numerical Reasoning
MuST: Robust Image Watermarking for Multi-Source Tracing
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems
Knowledge Integration in Text Recognition
Exploiting Label Skews in Federated Learning with Model Concatenation
Finding Fair Allocations under Budget Constraints
Refinement of Strong Stackelberg Equilibria in Security Games
Multi-Modality Deep Network for Extreme Learned Image Compression
Query-Efficient Imitation Learning for End-to-End Simulated Driving
Crowdsourced Explanations for Humorous Internet Memes
Hierarchical Coherence Modeling for Document Quality Assessment
Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
A New Framework for Online Testing of Heterogeneous Treatment Effect
Mechanism Design for Single-Value Domains
A Model for Learning Description Logic Ontologies Based on Exact Learning
Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract)
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology
AAAI Bridge Program on Continual Causality, 20-21 February 2024, Vancouver, Canada
Structured Sparsity with Group-Graph Regularization
Pseudo-Tree Construction Heuristics for DCOPs with Variable Communication Times
TextScanner: Reading Characters in Order for Robust Scene Text Recognition
AI-NLM exploration of the Acronym Identification Shared Task at SDU@AAAI-21
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity
Dynamic Case Creation and Expansion for Analogical Reasoning
Collective Classification of Social Network Spam
Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks
Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation
Graph Structure Refinement with Energy-based Contrastive Learning
Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract)
A Neural Network Model of Dynamically Fluctuating Perception of Necker Cube as well as Dot Patterns
A Methodology for Modeling and Representing Expert Knowledge that Supports Teaching-Based Intelligent Agent Development
Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network
Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract)
Learning Neuro-Symbolic Abstractions for Robot Planning and Learning
Reviewing the Design of DAML+OIL: An Ontology Language for the Semantic Web
Fatigue-Aware Bandits for Dependent Click Models
Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract)
FontRL: Chinese Font Synthesis via Deep Reinforcement Learning
Predictive Mining of Comparable Entities from the Web
Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation
On Generating Extended Summaries of Long Documents
A Computational Decision Theory for Interactive Assistants
A * with Partial Expansion for Large Branching Factor Problems
Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation
READ: Large-Scale Neural Scene Rendering for Autonomous Driving
SociAl Agents For Communicative Tasks
Narrative Text Summarization
Mutual Beliefs of Multiple Conversants: A Computational Model of Collaboration in Air Traffic Control
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging
Efficient Datalog Abduction through Bounded Treewidth
Recurrent Structure Attention Guidance for Depth Super-resolution
Coverage Centrality Maximization in Undirected Networks
Matrix Completion for Graph-Based Deep Semi-Supervised Learning
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
Computing Randomized Security Strategies in Networked Domains
Structured Two-Stream Attention Network for Video Question Answering
Content-Variant Reference Image Quality Assessment via Knowledge Distillation
Learning with Feature Network and Label Network Simultaneously
Transfer Learning for Anomaly Detection through Localized and Unsupervised Instance Selection
Long Short-Term Sample Distillation
The Practice of Approximated Consistency for Knapsack Constraints
Play the Shannon Game with Language Models: A Human-Free Approach to Summary Evaluation
Diagrams as Scaffolds for Abductive Insights
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
Mask-Net: Learning Context Aware Invariant Features Using Adversarial Forgetting (Student Abstract)
Biologically Plausible Sequence Learning with Spiking Neural Networks
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting
The Influence of Dimensions on the Complexity of Computing Decision Trees
ChartParser: Automatic Chart Parsing for Print-Impaired
Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time
An Architecture for Adaptive Algorithmic Hybrids
Generalized Planning with Positive and Negative Examples
Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification
SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
Preserve Context Information for Extract-Generate Long-Input Summarization Framework
Detecting Beneficial Feature Interactions for Recommender Systems
The Fisher Market Game: Equilibrium and Welfare
Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion
A Fast Arc Consistency Algorithm for n-ary Constraints
Retinomorphic Object Detection in Asynchronous Visual Streams
Language Independent Feature Extractor
CFRL: A Language for Specifying the Causal Functionality of Engineered Devices
Self-Explainable Graph Transformer for Link Sign Prediction
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection
Efficiently Eliciting Preferences from a Group of Users
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization
Reducing Labeling Effort for Structured Prediction Tasks
Cell Graph Transformer for Nuclei Classification
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
Independent Additive Heuristics Reduce Search Multiplicatively
Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes
Toward Falsifying Causal Graphs Using a Permutation-Based Test
Automatic Symbolic Traffic Scene Analysis Using Belief Networks
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming
Nonmonotonic Modes of Inference
A Learning and Reasoning System for Intelligence Analysis
Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors
Learning Compact Features via In-Training Representation Alignment
A Brochette of Socially Interactive Robots
Design Concerns of Persuasive Feedback System
SAT-based Decision Tree Learning for Large Data Sets
Label Space Driven Heterogeneous Transfer Learning With Web Induced Alignment
AQUA: Asking Questions and Understanding Answers
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation
Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization
Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance
Knowledge-enhanced Memory Model for Emotional Support Conversation
Malware Detection by Eating a Whole EXE
Fault Injection Based Interventional Causal Learning for Distributed Applications
Theory of Minds: Understanding Behavior in Groups through Inverse Planning
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
Distributing Coalitional Value Calculations among Cooperative Agents
Parallel and High-Fidelity Text-to-Lip Generation
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Constructing Symbolic Representations for High-Level Planning
To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices
Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information
Making Design Objects Relevant to the Task at Hand
Integrating a Spoken Language System with Agents for Operational Information Access
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions
Value-Update Rules for Real-Time Search
State Aggregation in Monte Carlo Tree Search
The Anatomy of Chess Programs
Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction
DAMN: Defeasible Reasoning Tool for Multi-Agent Reasoning
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
Embedded Feature Selection on Graph-Based Multi-View Clustering
A Computational Model of Persistent Beliefs
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data
Comparing Population Means Under Local Differential Privacy: With Significance and Power
SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views
Improving Big Plans
Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness
Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability
Feature Enhancement Network: A Refined Scene Text Detector
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation
Reconciling Predictive and Statistical Parity: A Causal Approach
Learning Temporal Dynamics of Behavior Propagation in Social Networks
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method
Deep Style Match for Complementary Recommendation
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis
A First Analysis of Qualitative Influences and Synergies
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
New Compilation Languages Based on Structured Decomposability
Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics
Knowledge Matrix - An Explanation & Knowledge Refinement Facility for a Rule Induced Neural Network
Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning
Take or Wait? Learning Turn-Taking from Multiparty Data
Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation
Exploring More from Multiple Gait Modalities for Human Identification
UNITRAN: An Interlingual Approach to Machine Translation
Negative Influence Minimizing by Blocking Nodes in Social Networks
Improving Learning Performance Through Rational Resource Allocation
Predicting Perceived Music Emotions with Respect to Instrument Combinations
Activity and Gait Recognition with Time-Delay Embeddings
Value Functions for RL-Based Behavior Transfer: A Comparative Study
Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning
A Survey of Current Practice and Teaching of AI
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
Label Embedding with Partial Heterogeneous Contexts
Improved Mutual Information Estimation
Learning to Suggest Phrases
Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction
Complementary-View Multiple Human Tracking
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
Building Non-Brittle Knowledge-Acquisition Tools
Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder
CPlan: A Constraint Programming Approach to Planning
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
Rigging Nearly Acyclic Tournaments Is Fixed-Parameter Tractable
Inverse Reinforcement Learning through Policy Gradient Minimization
Spurious Features in Continual Learning
2-Dimensional Cellular Automata Approach for Robot Grid Formations
M-BEV: Masked BEV Perception for Robust Autonomous Driving
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions
Proceedings of the 2nd Workshop on Knowledge Extraction from Games co-located with 33rd AAAI Conference on Artificial Intelligence, KEG@AAAI 2019, Honolulu, Hawaii, January 27th, 2019
Software Testing by Active Learning for Commercial Games
Sharing Rides with Friends: A Coalition Formation Algorithm for Ridesharing
Automatic Generation of Chinese Short Product Titles for Mobile Display
Active Control of Marine Vehicles in the Presence of Strong, Dynamic, Uncertain Currents
Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment
A General Labeling Algorithm for Assumption-Based Truth Maintenance
Text Assisted Insight Ranking Using Context-Aware Memory Network
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching
A Modular Consistency Proof for DOLCE
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction
Envelope-Based Approaches to Real-Time Heuristic Search
Detecting Execution Failures Using Learned Action Models
Opportunities and Challenges for Constraint Programming
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce
Multiple Inheritance in Smalltalk-BO
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models
Learning-Augmented Algorithms for Online TSP on the Line
Loss-Based Attention for Deep Multiple Instance Learning
A Particle Filtering Based Approach to Approximating Interactive POMDPs
Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling
Complexity of and Algorithms for Borda Manipulation
Tighter Robust Upper Bounds for Options via No-Regret Learning
SPARQL Query Containment Under SHI Axioms
Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System
Prioritization of Domain-Specific Web Information Extraction
Shared Tasks as Tutorials: A Methodical Approach
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering
Multiple-Goal Recognition from Low-Level Signals
Generalizing Downsampling from Regular Data to Graphs
Functional Elimination and 0/1/All Constraints
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning
Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract)
Fast Algorithms for Top-k Approximate String Matching
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models
Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces
Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health
Affinity Preserving Quantization for Hashing: A Vector Quantization Approach to Compact Learn Binary Codes
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Temporal ROI Align for Video Object Recognition
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems
Optimal Feature Transport for Cross-View Image Geo-Localization
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud
MOOCs Meet Measurement Theory: A Topic-Modelling Approach
Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization
The Price of Selfishness: Conjunctive Query Entailment for ALCSelf Is 2EXPTIME-Hard
Towards remote differential diagnosis of mental and neurological disorders using automatically extracted speech and facial features
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
Individual-Based Stability in Hedonic Diversity Games
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation