yusuke1997/dblp-id-title huggingface dataset:
Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention
A Prototype Intelligent Assistant to Help Dysphagia Patients Eat Safely At Home
Sample Selection for Universal Domain Adaptation
Gaussian Process Neural Additive Models
Efficient Extraction of EL-Ontology Deductive Modules
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy
A Diffusion-Based Framework for Occluded Object Movement
Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach
Classifiers Fusion for EEG Signals Processing in Human-Computer Interface Systems
Soft and Cost MDD Propagators
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
Binarized Neural Architecture Search
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer
Machine Reading
Scaling-Up Quadratic Programming Feature Selection
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Energy- and Cost-Efficient Pumping Station Control
Better Human Computation Through Principled Voting
Surveying Safety-relevant AI Characteristics
Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning
Generating Natural Language Descriptions with Examples: Differences between Introductory and Advanced Texts
Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning
Specification by Reformulation: A Paradigm for Building Integrated User Support Environments
Constraint-based specification of reactive multi-agent systems
Disentangled Motif-aware Graph Learning for Phrase Grounding
Fluctuation-Based Adaptive Structured Pruning for Large Language Models
Model Generalization on COVID-19 Fake News Detection
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension
Dynamic Reactive Spiking Graph Neural Network
Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions
Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion
Gaussian Process Latent Random Field
Towards Feature Space Adversarial Attack by Style Perturbation
A Model Based Vision System for Recognition of Machine Parts
Control Strategies in HTN Planning: Theory Versus Practice
Unsupervised Measure of Word Similarity: How to Outperform Co-Occurrence and Vector Cosine in VSMs
Bayesian Models for Targeted Cyber Deception Strategies (Student Abstract)
Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition
Implicit Kernel Attention
Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech
Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment
Multimodal Cognitive Architecture: Making Perception More Central to Intelligent Behavior
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
Maximum Roaming Multi-Task Learning
Considering State in Plan Recognition with Lexicalized Grammars
Thresholding for Making Classifiers Cost-sensitive
Spatial Transform Decoupling for Oriented Object Detection
Learning Context-Aware Classifier for Semantic Segmentation
Sparse Multi-Task Learning for Detecting Influential Nodes in an Implicit Diffusion Network
Unsupervised Post-Processing of Word Vectors via Conceptor Negation
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
The Extendable-Triple Property: A New CSP Tractable Class beyond BTP
Selecting Compliant Agents for Opt-in Micro-Tolling
Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation
On the Logic of Probabilistic Dependencies
Scaling Up: Solving POMDPs through Value Based Clustering
Optimal Social Trust Path Selection in Complex Social Networks
Using Anytime Planning for Centralized Coordination of Multiple Robots in Real-Time Dynamic Environments
Towards Higher Impact Argumentation
Multi-Label Learning by Exploiting Label Correlations Locally
Sparse Coding in a Dual Memory System for Lifelong Learning
An Iterative Dual Pathway Structure for Speech-to-Text Transcription
Approximation Reformulations
Deciding to Remind During Collaborative Problem Solving: Empirical Evidence for Agent Strategies
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs
Learning the Probability of Activation in the Presence of Latent Spreaders
Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection
How to Cut a Discrete Cake Fairly
A New Granger Causal Model for Influence Evolution in Dynamic Social Networks: The Case of DBLP
Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
Stochastic Search In Changing Situations
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation
UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis
Learning to Predict Opinion Share in Social Networks
GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning
The CMU Rover
Joint Inference in Information Extraction
Bounded Incentives in Manipulating the Probabilistic Serial Rule
Fostering Trustworthiness in Machine Learning Algorithms
Anytime Best+Depth-First Search for Bounding Marginal MAP
GKR: A Generic Model of Knowledge Representation
Non-Deterministic Lisp with Dependency-directed Backtracking
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer
Activity Recognition from Accelerometer Data
On Trivial Solution and High Correlation Problems in Deep Supervised Hashing
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams
Shared Generative Latent Representation Learning for Multi-View Clustering
Multi-Granular Multimodal Clue Fusion for Meme Understanding
A Visual Semantic Framework for Innovation Analytics
A New Unification Method for Temporal Reasoning with Constraints
A Stereo Integral Equation
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure
Software for Agent-based Network Simulation and Visualization
Many Bills: Visualizing the Anatomy of Congressional Legislation
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation
DeblurSR: Event-Based Motion Deblurring under the Spiking Representation
Adaptive Learning Systems: A Model for Business Entrepreneurs to Implement IT
BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)
LiD-FL: Towards List-Decodable Federated Learning
Probabilistic Robustness Quantification of Neural Networks
Nonparametric Curve Extraction Based on Ant Colony System
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network
Regularization Uses Fractal Priors
Learning the Behavior of a Dynamical System Via a "20 Questions" Approach
Graph Attention Based Proposal 3D ConvNets for Action Detection
A Picture Is Worth a Thousand Words: Co-designing Text-to-Image Generation Learning Materials for K-12 with Educators
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
Rule Refinement by Domain Experts in Complex Knowledge Bases
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection
Value Function Approximation in Reinforcement Learning Using the Fourier Basis
Enhancing Multimodal Affective Analysis with Learned Live Comment Features
Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems
A Semantic Characterization of an Algorithm for Estimating Others' Beliefs from Observation
Efficient Scene Labeling via Sparse Annotations
A Computational Model of Narrative Generation for Suspense
Approximation Algorithms for Route Planning with Nonlinear Objectives
Learning to Appreciate the Aesthetic Effects of Clothing
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery
Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation
Learning Performance Maximizing Ensembles with Explainability Guarantees
Predicate Projection in a Bimodal Spatial Reasoning System
TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry
Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration
Generalizing and Executing Plans
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Using AI for e-Government Automatic Assessment of Immigration Application Forms
Constrained Metric Learning Via Distance Gap Maximization
Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract)
Ultrafast Euclidean Shortest Path Computation Using Hub Labeling
PAC Learning of Causal Trees with Latent Variables
Opinion Extraction and Summarization on the Web
MNCN: A Multilingual Ngram-Based Convolutional Network for Aspect Category Detection in Online Reviews
Training Decision Trees as Replacement for Convolution Layers
What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions
BROWALLIA at Memotion 2.0 2022 : Multimodal Memotion Analysis with Modified OGB Strategies (short paper)
A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
A Graphical Criterion for the Identification of Causal Effects in Linear Models
Scaling Up Reinforcement Learning through Targeted Exploration
Explaining Generalization Power of a DNN Using Interactive Concepts
Empirical Analysis of Auctioneer Profitability in QuiBids Penny Auctions
Using "The Machine Stops" for Teaching Ethics in Artificial Intelligence and Computer Science
Hazard Contribution Modes of Machine Learning Components
Open Domain Dialogue Generation with Latent Images
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
Have We Solved The Hard Problem? It's Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence
BabelRelate! A Joint Multilingual Approach to Computing Semantic Relatedness
Towards Efficient Verification of Quantized Neural Networks
MAKEBELIEVE: Using Commonsense Knowledge to Generate Stories
Strongly Budget Balanced Auctions for Multi-Sided Markets
Modelling Individual Negative Emotion Spreading Process with Mobile Phones
Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules
Knowledge Graph Error Detection with Contrastive Confidence Adaption
Learning MDL Logic Programs from Noisy Data
WikiSeq: Mining Maximally Informative Simple Sequences from Wikipedia
Disaster Evacuation Support
Approximate Coalition Structure Generation
Sufficient Reasons for Classifier Decisions in the Presence of Domain Constraints
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines
Differentially Private Regret Minimization in Episodic Markov Decision Processes
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
Open-Loop Planning in Large-Scale Stochastic Domains
AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism
Rain Streak Removal via Dual Graph Convolutional Network
Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering
ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14-18, 2013, Bellevue, Washington, USA
Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images
Capturing Expression Using Linguistic Information
Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding
A Web-Based Ontology Browsing and Editing System
Task-Decomposition via Plan Parsing
Automatic Label Correction and Appliance Prioritization in Single Household Electricity Disaggregation
Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
Extraction and Visualization of Implicit Social Relations on Social Networking Services
Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs
A Robotics Environment for Software Engineering Courses
When the Best Move Isn't Optimal: Q-learning with Exploration
End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking
Signed Laplacian Embedding for Supervised Dimension Reduction
On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts
Formally Verified SAT-Based AI Planning
Auto Encoding Neural Process for Multi-interest Recommendation
ENCODER: Entity Mining and Modification Relation Binding for Composed Image Retrieval
Compilation Based Approaches to Probabilistic Planning - Thesis Summary
BERT-based Acronym Disambiguation with Multiple Training Strategies
Direct Hashing Without Pseudo-Labels
Expected Value of Communication for Planning in Ad Hoc Teamwork
AI, Ethics, and Education: The Pioneering Path of Sidekick Academy
Multi-Unit Bilateral Trade
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
Uncertainty-Aware Deep Classifiers Using Generative Models
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration
Mobile Network Failure Event Detection and Forecasting With Multiple User Activity Data Sets
On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract)
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method
SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network
Multilingual Transfer Learning for QA using Translation as Data Augmentation
Improved State Estimation in Multiagent Settings with Continuous or Large Discrete State Spaces
Large-Scale Visual Relationship Understanding
R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering
MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation
A Mechanism for Early Piagetian Learning
How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving
Dynamic Embedding on Textual Networks via a Gaussian Process
Mobile Agent-Based Search for Service Discovery on Dynamic Peer-to-Peer Networks
ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions
How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?
A Theory of Action for MultiAgent Planning
Joint Parsing and Generation for Abstractive Summarization
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification
Reinforcement Learning with a Hierarchy of Abstract Models
The QBKG System: Generating Explanations From a Non-Discrete Knowledge Representation
Expressive Optimal Temporal Planning via Optimization Modulo Theory
CrowdLang - First Steps Towards Programmable Human Computers for General Computation
Computer Poker and Imperfect Information Games, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization
Automatic Compilation of Logical Specifications into Efficient Programs
Real-Time Planning for Traffic Signal Control
ESP: A Logic of Only-Knowing, Noisy Sensing and Acting
Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding
Strong Nash Equilibrium Is in Smoothed P
Efficient Algorithms for Strong Local Consistencies in Constraint Satisfaction Problems
Learning: The Construction of A Posteriori Knowledge Structures
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills
Explanation Bottleneck Models
Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel
Deriving a Large-Scale Taxonomy from Wikipedia
An Unsupervised Approach for Product Record Normalization across Different Web Sites
Fine-Grained Recognition: Accounting for Subtle Differences between Similar Classes
WordNet Based Multi-Way Concept Hierarchy Construction from Text Corpus
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
Vietnamese Words Are Not Constructed from Syllables: Rethinking the Role of Word Segmentation in Natural Language Processing for Vietnamese Texts
Emergence of Grounded Compositional Language in Multi-Agent Populations
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
Learning Large Scale Common Sense Models of Everyday Life
Learning Multi-Level Task Groups in Multi-Task Learning
Comparing Election Methods Where Each Voter Ranks Only Few Candidates
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations
Location-Based End-to-End Speech Recognition with Multiple Language Models
Speech Watermarking with Discrete Intermediate Representations
Learning Continuous Depth Representation via Geometric Spatial Aggregator
Parallel Algorithms for Operations on Multi-Valued Decision Diagrams
Disambiguating Spatial Prepositions Using Deep Convolutional Networks
Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation
Proportional Aggregation of Preferences for Sequential Decision Making
First-Order Conditional Logic Revisited
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance
Configuration Planning with Temporal Constraints
Fixing a Hole in Lexicalized Plan Recognition
DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy
ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud
Frequency Consistent Adaptation for Real World Super Resolution
Neural Architecture Search for Wide Spectrum Adversarial Robustness
Joint Multi-View Representation Learning and Image Tagging
Indefinite-Horizon POMDPs with Action-Based Termination
Distributed Component-Centered Design as Agent-Based Distributed Constraint Optimization
Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning
Transfer Learning for Sequence Labeling Using Source Model and Target Data
City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC
Implementing Bounded Revision via Lexicographic Revision and C-revision
Lexical and Grammatical Inference
Automatic Algorithm Configuration Based on Local Search
Anchor Learning with Potential Cluster Constraints for Multi-view Clustering
Computational Analyses of the Electoral College: Campaigning Is Hard But Approximately Manageable
BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking
NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving Scenario
Learning Ensembles of Cutset Networks
A Unified Theory of Heuristic Evaluation Functions and its Application to Learning
Execution Monitoring and Diagnosis in Multi-Agent Environments
Finite Based Contraction and Expansion via Models
Approximate Inference via Weighted Rademacher Complexity
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
Optimal Metric Planning with State Sets in Automata Representation
Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval
Synchronization of Multi-Agent Plans
Using Artificial Populations to Study Psychological Phenomena in Neural Models
Referential Determinism and Computational Efficiency: Posting Constraints from Deep Structure
Differentially Private k-Means via Exponential Mechanism and Max Cover
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
WAT: Improve the Worst-Class Robustness in Adversarial Training
Oases of Cooperation: An Empirical Evaluation of Reinforcement Learning in the Iterated Prisoner's Dilemma
An Axiomatic Approach to Link Prediction
Reinforcement Using Supervised Learning for Policy Generalization
Compilation of Query-Rewriting Problems into Tractable Fragments of Propositional Logic
Transformer as Linear Expansion of Learngene
Dropout Training for Support Vector Machines
PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
Towards More Practical and Efficient Automatic Dominance Breaking
One for All: Neural Joint Modeling of Entities and Events
Detecting Patterns of Crime with Series Finder
Resilient Binary Neural Network
A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty
Memory Intensive Branch-and-Bound Search for Graphical Models
Interpreting Prepositions Physically
How to Find a Good Explanation for Clustering?
Some Like It Small: Czech Semantic Embedding Models for Industry Applications
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records
Latent Multi-Task Architecture Learning
PrimeNet: Pre-training for Irregular Multivariate Time Series
Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification
TRIPS: An Integrated Intelligent Problem-Solving Assistant
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
Mixed Embedding of XLM for Unsupervised Cantonese-Chinese Neural Machine Translation (Student Abstract)
The Opacity of Backbones
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data
Negotiated Learning for Smart Grid Agents: Entity Selection based on Dynamic Partially Observable Features
A Corpus-Guided Framework for Robotic Visual Perception
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features
Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training