yusuke1997/dblp-id-title huggingface dataset:
Towards Traceability Link Recovery for Self-Adaptive Systems
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay
Plausibility Measures and Default Reasoning
Latent Time Neural Ordinary Differential Equations
High Dimensional Clustering with r-nets
Solar Decathlon Competition: Towards a Solar-Powered Smart Home
Multimodal People Detection and Tracking in Crowded Scenes
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
A Probabilistic Covariate Shift Assumption for Domain Adaptation
Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder
Multi-Label Learning with PRO Loss
Controlling Qualitative Resolution
Dual Decomposition for Marginal Inference
Diverse Rare Sample Generation with Pretrained GANs
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation
Tool Auctions
Feature Engineering for Predictive Modeling Using Reinforcement Learning
Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery
Social Role-Aware Emotion Contagion in Image Social Networks
Just-in-Time Hierarchical Constraint Decomposition
Knowledge-Based Probabilistic Logic Learning
Modeling Socio-Cultural Phenomena in Online Multi-Party Discourse
SMILE: Structural Modeling, Inference, and Learning Engine and GeNIE: A Development Environment for Graphical Decision-Theoretic Models
Dynamic Explainable Recommendation Based on Neural Attentive Models
Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval
SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents
Sparse Deep Stacking Network for Image Classification
Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation
TransZero: Attribute-Guided Transformer for Zero-Shot Learning
DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch
SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds
Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy
The PhotoSlap Game: Play to Annotate
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models
Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
Model-Based-Diagnosis for Fault Management in Telecommunications Networks
Adaptable Fault Identification for Smart Buildings
Generating Images of Rare Concepts Using Pre-trained Diffusion Models
Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation
Groupwise Maximin Fair Allocation of Indivisible Goods
Deeper Natural Language Processing for Evaluating Student Answers in Intelligent Tutoring Systems
Tracking Everything Everywhere across Multiple Cameras
Coordination Failure and Congestion in Information Networks
Sample-aware Adaptive Structured Pruning for Large Language Models
Sample-and-Bound for Non-convex Optimization
Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks
Continual Graph Convolutional Network for Text Classification
A Model-Based Approach to Reactive Self-Configuring Systems
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons
Exploring CLIP for Assessing the Look and Feel of Images
Knowledge Transfer via Compact Model in Federated Learning (Student Abstract)
Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
Geometric Reasoning for Shape Design
Using an Ontology for Knowledge Acquisition
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
Risk-Aware Planning: Methods and Case Study for Safer Driving Routes
Salience as a Simplifying Metaphor for Natural Language Generation
Video Generation From Text
Competition among Pairwise Lottery Contests
Semi-Black Box: Rapid Development of Planning Based Solutions
Generating Chinese Classical Poems with Statistical Machine Translation Models
SEFormer: Structure Embedding Transformer for 3D Object Detection
Making AI Policies Transparent to Humans through Demonstrations
A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem
Hyperparametric Robust and Dynamic Influence Maximization
MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base
Resource Constrained Structured Prediction
Reinforcement Learning With Imperfect Safety Constraints
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
CBRAP: Contextual Bandits with RAndom Projection
KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem
Simple Image-Level Classification Improves Open-Vocabulary Object Detection
MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract)
Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
Numeric Reasoning with Relative Orders of Magnitude
KAAPA: Knowledge Aware Answers from PDF Analysis
Incremental Inference: Getting Multiple Agents to Agree on What to Do Next
State Abstraction as Compression in Apprenticeship Learning
The Complexity of Fair Division of Indivisible Items with Externalities
EAC-Net: Efficient and Accurate Convolutional Network for Video Recognition
Making the Most of What You've Got: Using Models and Data to Improve Learning Rate and Prediction Accuracy
Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract)
Improving the Efficiency and Effectiveness for BERT-based Entity Resolution
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility
A Hybrid Algorithm for Coalition Structure Generation
Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems
MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning
Automatic Methods for Continuous State Space Abstraction
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
Multisensory Machine Intelligence
Repeated Sequential Auctions with Dynamic Task Clusters
Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows
The Price of Justified Representation
Cooperative Multimodal Approach to Depression Detection in Twitter
A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model
Automatic Synthesis of a Global Behavior from Multiple Distributed Behaviors
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
Multimodal Commonsense Knowledge Distillation for Visual Question Answering (Student Abstract)
End-to-End Entity Linking with Hierarchical Reinforcement Learning
Hybrid Neural Networks for On-Device Directional Hearing
A Non-Well-Founded Approach to Terminological Cycles
Solving Combinatorial Auctions Using Stochastic Local Search
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting
Deep Graph Online Hashing for Multi-Label Image Retrieval
Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning
Inductive Policy
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
AAAI Bridge Program on Continual Causality, 7-8 February 2023, Washington, DC, USA
A General Identification Condition for Causal Effects
Feature-Induced Labeling Information Enrichment for Multi-Label Learning
Entropy Estimation via Normalizing Flow
On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Iterative Data Programming for Expanding Text Classification Corpora
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision
Opponent Behaviour Recognition for Real-Time Strategy Games
Non-Monotonic Reasoning Using Dempster's Rule
Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm
Assurance Argument Patterns and Processes for Machine Learning in Safety-Related Systems
A Reinforcement Learning Algorithm with Polynomial Interaction Complexity for Only-Costly-Observable MDPs
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation
Generating C4.5 Production Rules in Parallel
Online Search Algorithm Configuration
Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation
EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement
The Utility of Difference-Based Reasoning
Manifold Spanning Graphs
MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer
Temporally Adaptive Restricted Boltzmann Machine for Background Modeling
Active Reinforcement Learning for Robust Building Control
Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines
Communication-Efficient Stochastic Gradient MCMC for Neural Networks
ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques
Extracting Relevant Snippets for Web Navigation
More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation
Theory for Coordinating Concurrent Hierarchical Planning Agents Using Summary Information
Empirical Regularization for Synthetic Sentence Pairs in Unsupervised Neural Machine Translation
On the Nature of Modal Truth Criteria in Planning
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching
Verbal IQ of a Four-Year Old Achieved by an AI System
SplitFed: When Federated Learning Meets Split Learning
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
What's Wrong with Non-Monotonic Logic?
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
DANIEL: Integrating Case-Based and Rule-Based Reasoning in Law
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours
Generalised Brown Clustering and Roll-Up Feature Generation
Crowd Formalization of Action Conditions
Generation of Visual Representations for Multi-Modal Mathematical Knowledge
RareGAN: Generating Samples for Rare Classes
Logical Foundations of Privacy-Preserving Publishing of Linked Data
Domain Independent Object Description and Decomposition
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
Integrating Relation Constraints with Neural Relation Extractors
A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems
Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation
Task-Aware Compressed Sensing With Generative Adversarial Networks
Heisenbot: A Rule-Based Game Agent for Gin Rummy
Combining Stochastic and Greedy Search in Hybrid Estimation
Fine-Grained Car Detection for Visual Census Estimation
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions
Communication, Distortion, and Randomness in Metric Voting
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels
Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising
What's Hot in Constraint Programming
Intelligent Sensor Fusion for the 1997 AAAI Mobile Robot Competition
Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning
REACTOR: An Expert System for Diagnosis and Treatment of Nuclear Reactor Accidents
Convolution Kernels for Discriminative Learning from Streaming Text
Exaggeration
Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance
A User-Oriented Webpage Ranking Algorithm Based on User Attention Time
Context Representation and Reasoning with Formal Ontologies
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
Multi-Domain Generalized Graph Meta Learning
Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision
AAAI: An Argument Against Artificial Intelligence
Weighted Policy Constraints for Offline Reinforcement Learning
Data-Efficient Graph Learning
Model-Based Automated Generation of User Interfaces
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
Lifted First-Order Belief Propagation
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces
VoC-DL: Revisiting Voice Of Customer Using Deep Learning
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
Provably Secure Image Robust Steganography via Cross-modal Error Correction
Object Boundary Detection in Images using a Semantic Ontology
Learning Set Functions with Implicit Differentiation
Towards the Robustness of Differentially Private Federated Learning
UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach
Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles
Is Everything Going According to Plan? Expectations in Goal Reasoning Agents
The Complexity of Temporal Vertex Cover in Small-Degree Graphs
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
Learning Document Embeddings with Crossword Prediction
Signaling Games with Partially Observable Actions as a Model of Conversational Grounding
Optimal Factory Scheduling Using Stochastic Dominance A*
Maximal Tractable Subclasses of Allen's Interval Algebra: Preliminary Report
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning
GHOST: Gaussian Hypothesis Open-Set Technique
Online Lazy Updates for Portfolio Selection with Transaction Costs
Very Important Person Localization in Unconstrained Conditions: A New Benchmark
Efficient Multi-Stage Conjugate Gradient for Trust Region Step
ViG: Linear-complexity Visual Sequence Learning with Gated Linear Attention
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract)
Consciousness: Drinking from the Firehose of Experience
An Exact Algorithm for the Maximum Weight Clique Problem in Large Graphs
A Temporal Mereology for Distinguishing between Integral Objects and Portions of Stuff
Clustering Partial Lexicographic Preference Trees (Student Abstract)
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis
Complexity of Manipulating Sequential Allocation
'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation
Heuristic Induction of Rate-Based Process Models
Derivative-Free Optimization via Classification
Constructing Minimal Perfect Hash Functions Using SAT Technology
Confidence Estimation for Error Detection in Text-to-SQL Systems
Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract)
JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
(1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error
Switch-GPT: An Effective Method for Constrained Text Generation under Few-Shot Settings (Student Abstract)
Edge Structure Learning via Low Rank Residuals for Robust Image Classification
Complexity of Optimally Defending and Attacking a Network
RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction
Landmarks Revisited
Learning General Planning Policies from Small Examples Without Supervision
Usage-Centric Benchmarking of RDF Triple Stores
Engineering Open Multi-Agent Systems as Electronic Institutions
Motion Planning Algorithms for Autonomous Intersection Management
Across-Model Collective Ensemble Classification
Bidding Clubs in First-Price Auctions
A Stratified Strategy for Efficient Kernel-Based Learning
Learning to Detect Pointing Gestures From Wearable IMUs
Future Aware Pricing and Matching for Sustainable On-Demand Ride Pooling
The Essentials of AI for Life and Society: An AI Literacy Course for the University Community
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
On the Dimensionality of Voting Games
College Student Retention Risk Analysis from Educational Database Using Multi-Task Multi-Modal Neural Fusion
Tactical Language and Culture Training Systems: Using Artificial Intelligence to Teach Foreign Languages and Cultures
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
Accuracy of Admissible Heuristic Functions in Selected Planning Domains
The Surprising Power of Hiding Information in Facility Location
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008
Deep Partial Rank Aggregation for Personalized Attributes
Decidable Reasoning in First-Order Knowledge Bases with Perfect Introspection
Constraint Optimization over Semirings
GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions
Evolvable Hardware Chip for High Precision Printer Image Compression
Soundness Preserving Approximation for TBox Reasoning
Efficient Top-k Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation
Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract)
Binaural Audio-Visual Localization
Learning and Using Hand Abstraction Values for Parameterized Poker Squares
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
Agent Coordination with Regret Clearing
Single View Point Cloud Generation via Unified 3D Prototype
Using Multi-Agent Systems to Represent Uncertainty
Pareto Optimal Allocation under Compact Uncertain Preferences
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval
The Moderating Effect of Instant Runoff Voting
Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions
LGMRec: Local and Global Graph Learning for Multimodal Recommendation
Conditional, Probabilistic Planning: A Unifying Algorithm and Effective Search Control Mechanisms
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion
Path-Consistency: When Space Misses Time
Faster Double Adaptive Gradient Methods
5* Knowledge Graph Embeddings with Projective Transformations
Distributed Composite Quantization
A Bayesian Approach to the Data Description Problem
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
Modularity Assumptions in Situated Agency
Compute Less to Get More: Using ORC to Improve Sparse Filtering
The First Law of Robotics (A Call to Arms)
User Participation in the Reasoning Processes of Expert Systems
Unfolding Temporal Dynamics: Predicting Social Media Popularity Using Multi-scale Temporal Decomposition
SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation
On the Qualitative Structure of a Mechanical Assembly
Lifting WALKSAT-Based Local Search Algorithms for MAP Inference
Robust Facial Landmark Localization Based on Two-Stage Cascaded Pose Regression
Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks
Nutri-bullets: Summarizing Health Studies by Composing Segments
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement
The NASA Personnel Security Processing Expert System
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract)
Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
Efficient and Effective Incomplete Multi-View Clustering
Fact-Enhanced Synthetic News Generation
Learned Image Transmission with Hierarchical Variational Autoencoder
Grounding Acoustic Echoes in Single View Geometry Estimation
UACOF: A USV-AUV Collaboration Framework for Underwater Tasks Under Extreme Sea Conditions (Student Abstract)
The Complexity Landscape of Decompositional Parameters for ILP
Frugal Coordinate Descent for Large-Scale NNLS
VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure
Combining Left and Right Unlinking for Matching a Large Number of Learned Rules
Learning How to Ground a Plan - Partial Grounding in Classical Planning
Generating Adequate Instructions: Knowing When to Stop
Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection
Toward Open-Set Human Object Interaction Detection
Panel: Where Should the Intelligence in Intelligent Interfaces be Placed?
Beyond Virtual Points: Depth-Enhanced LiDAR-only 3D Object Detection with Semi-Supervised Learning (Student Abstract)