yusuke1997/dblp-id-title huggingface dataset:
Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper)
MC-HOG Correlation Tracking with Saliency Proposal
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design
FILE: A Novel Framework for Predicting Social Status in Signed Networks
FairFoody: Bringing In Fairness in Food Delivery
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
Preference-Aware Task Assignment in Spatial Crowdsourcing
On the Integration of Grounding Language and Learning Objects
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection
MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark
Knowledge Lean Word Sense Disambiguation
Policy Optimization with Model-Based Explorations
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo)
Using Qualitative Reasoning to Understand Financial Arithmetic
DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification
Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
Strategic Tasks for Explainable Reinforcement Learning
Noise and Uncertainty Management in Intelligent Data Modeling
Inducing Probability Distributions from Knowledge Bases with (In)dependence Relations
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning
Dealing with Uncertainties in CAD-Based Assembly Motion Planning
Zero-Shot Assistance in Sequential Decision Problems
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data
A Script-Based Approach to Modifying Knowledge Bases
SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines
Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models
Diagram Understanding in Geometry Questions
Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
Explainable Image Understanding Using Vision and Reasoning
Efficient Modeling of Temporally Variable User Properties with Dynamic Bayesian Networks
Automating To-Do Lists for Users: Interpretation of To-Dos for Selecting and Tasking Agents
On the Range of Applicability of Baker's Approach to the Frame Problem
Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection
Reward-Weighted Regression Converges to a Global Optimum
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
BotSim: LLM-Powered Malicious Social Botnet Simulation
A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information
An Expert System That Volunteers Advice
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)
Two Compacted Models for Efficient Model-Based Diagnosis
Using Narrative Function to Extract Qualitative Information from Natural Language Texts
Title-Guided Encoding for Keyphrase Generation
Accelerating the Training of Video Super-resolution Models
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
Conversational Modeling for Constraint Satisfaction
Multimodal Graph Neural Architecture Search under Distribution Shifts
Sensor Selection for Active Information Fusion
Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding
The Defeat of the Winograd Schema Challenge (Abstract Reprint)
Algorithms for Differentially Private Multi-Armed Bandits
SEC: More Accurate Clustering Algorithm via Structural Entropy
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization
An Efficient Collision Warning Algorithm for Robot Arms
Blocking as a Middle-Ground for Step-Order Commitments in Planning
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
Any-Precision Deep Neural Networks
Supporting Manual Mapping Revision using Logical Reasoning
CORAL-DMOEA: Correlation Alignment-Based Information Transfer for Dynamic Multi-Objective Optimization (Student Abstract)
Few-Shot Learning for Road Object Detection
Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance
Hard Examples for Common Variable Decision Heuristics
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
Asymptotic Analysis of Meta-learning as a Recommendation Problem
Gaussian Cardinality Restricted Boltzmann Machines
Poll-Confident Voters in Iterative Voting
On the Use of Partially Ordered Decision Graphs in Knowledge Compilation and Quantified Boolean Formulae
Unsupervised Diffusion-Based Degradation Modeling for Real-World Super-Resolution
Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions
Efficient Online Model Adaptation by Incremental Simplex Tableau
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning
Guaranteeing Safety in Spatially Situated Agents
Social Interaction under Uncertainty in Multi Agent Systems
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
Dynamic Thresholding and Pruning for Regret Minimization
Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints
Concurrent Inference Graphs
A Whole New Ball Game: Harvesting Game Data for Player Profiling
Classification Under Human Assistance
Active Search for Sparse Signals with Region Sensing
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
ANSWER: Network Monitoring Using Object-Oriented Rules
Discovering Domain-Specific Composite Kernels
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
Data Attribution: A Data-Centric Approach for Trustworthy AI Development
Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning
YARP, a Thin Middleware for (Humanoid) Robots
Content-Based Collaborative Filtering for News Topic Recommendation
Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos
Computing Optimal Subsets
Multi-Modal Hand-to-Mouth Gesture Recognition in Activity-Oriented RGB-Thermal Footage (Student Abstract)
Learning the Physics of Particle Transport via Transformers
Active Ordinal Querying for Tuplewise Similarity Learning
Tracking User Goals in an Information-Seeking Environment
Using Correlated Strategies for Computing Stackelberg Equilibria in Extensive-Form Games
Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields
Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Independent Processes
Reinforced Multi-Label Image Classification by Exploring Curriculum
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location
Using Imagery to Simplify Perceptual Abstraction in Reinforcement Learning Agents
Large Scale Personalized Categorization of Financial Transactions
Large-Scale Mapping and Navigation in VirtualWorlds: Thesis Summary
Kont: Computing Tradeoffs in Normative Multiagent Systems
An Approach to Acquiring and Applying Knowledge
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification
Towards Unified, Explainable, and Robust Multisensory Perception
What Is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion
Heterogeneous Neuron Models Based on Similarity
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding
Machine Life-Long Learning with csMTL Networks
Characterizing Data Complexity for Conjunctive Query Answering in Expressive Description Logics
Complete Neural Networks for Complete Euclidean Graphs
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers
Deduction as Parsing: Tractable Classification in the KL-ONE Framework
OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
Strategy-Proof and Non-Wasteful Multi-Unit Auction via Social Network
On the Utility of Bottleneck Reasoning for Scheduling
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval
Evaluating Factors Influencing COVID-19 Outcomes across Countries Using Decision Trees (Student Abstract)
Generating Cross-References for Multimedia Explanation
Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process
Exploiting Data Geometry in Machine Learning
Learning Optical Flow with Adaptive Graph Reasoning
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning
Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting
SAT-Based Algorithms for Regular Graph Pattern Matching
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector
Path Dissolution: A Strongly Complete Rule of Inference
The OD Theory of TOD: The Use and Limits of Temporal Information for Object Discovery
Feature Deformation Meta-Networks in Image Captioning of Novel Objects
Using Weighted MAX-SAT Engines to Solve MPE
Position Assignment on an Enterprise Level Using Combinatorial Optimization
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks
Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography (OCT)
AI Assisted Data Labeling with Interactive Auto Label
Motion and Color Analysis for Animat Perception
Discovering User Attribute Stylistic Differences via Paraphrasing
Automatic Scoring for Innovativeness of Textual Ideas
ClinicalRAG: Automating Pharmaceutical Label Quality Control with Hierarchical RAG and Large Language Models
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
Interactive Learning and Analogical Chaining for Moral and Commonsense Reasoning
Hedonic Diversity Games: A Complexity Picture with More than Two Colors
Multidimensional Analysis of Trust in News Articles (Student Abstract)
Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion
Extending STR to a Higher-Order Consistency
Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics
Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates
Effects of Representation on Solving Complex Spatial-Temporal Problems
Towards Topic-Aware Slide Generation For Academic Papers With Unsupervised Mutual Learning
Relation Structure-Aware Heterogeneous Information Network Embedding
Contentful Mental States for Robot Baby
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation
Optimizing Positional Scoring Rules for Rank Aggregation
Efficient Robust Training via Backward Smoothing
Beyond Semantic Ambiguity
Probably Approximately Efficient Combinatorial Auctions via Machine Learning
Affective Recruitment of Distributed Heterogeneous Agents
Proceedings of the Workshop on Artificial Intelligence Safety 2021 (SafeAI 2021) co-located with the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), Virtual, February 8, 2021
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing
Navigating Label Ambiguity for Facial Expression Recognition in the Wild
CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On
Reference-Based Speech Enhancement via Feature Alignment and Fusion Network
Learning User Preferences to Incentivize Exploration in the Sharing Economy
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
The Complexity of Extending Fair Allocations of Indivisible Goods
Using Neural Networks for Evaluation in Heuristic Search Algorithm
Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding
Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow
Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis
Incentives for Strategic Behavior in Fisher Market Games
A Software and Hardware Environment for Developing AI Applications on Parallel Processors
MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model
What are contentful mental states? Dretske's theory of mental content viewed in the light of robot learning and planning algortihms
Automatically Transforming Symbolic Shape Descriptions for Use in Sketch Recognition
GRPose: Learning Graph Relations for Human Image Generation with Pose Priors
MangaGAN: Unpaired Photo-to-Manga Translation Based on The Methodology of Manga Drawing
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
SDDs Are Exponentially More Succinct than OBDDs
The Tractability of Subsumption in Frame-Based Description Languages
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
Elections with Few Voters: Candidate Control Can Be Easy
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
A Sampling-Based Heuristic for Tree Search Applied to Grammar Induction
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification
Deterioration of Speech as an Indicator of Physiological Degeneration (DESIPHER)
Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), Honolulu, Hawaii, January 27, 2019
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition
k-CoRating: Filling Up Data to Obtain Privacy and Utility
UserRec: A User Recommendation Framework in Social Tagging Systems
A Joint Optimization Model for Image Summarization Based on Image Content and Tags
Raw Corpus Word Sense Disambiguation
Optimal Rectangle Packing on Non-Square Benchmarks
Efficient Data Point Pruning for One-Class SVM
Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation
Discriminant Projection Representation-Based Classification for Vision Recognition
Fully Computer-Assisted Proofs in Extremal Combinatorics
An Association Network for Computing Semantic Relatedness
D-Agree: Crowd Discussion Support System Based on Automated Facilitation Agent
Estimating Generalization Error Using Out-of-Bag Estimates
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks
Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition
Helping Children Learn Vocabulary during Computer Assisted Oral Reading
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
An Exact Best-First Search Procedure for the Constrained Rectangular Guillotine Knapsack Problem
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network
Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck
Non-Restarting SAT Solvers with Simple Preprocessing Can Efficiently Simulate Resolution
Feature Selection Guided Auto-Encoder
Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints
Noise Sensitivity Analysis for Shape from Focus Methods
SciDr at SDU-2020 : IDEAS - Identifying and Disambiguating Everyday Acronyms for Scientific Domain
Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition
Artificial Intelligence for Cities, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 25, 2015
Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error
Zero-Shot Adaptive Transfer for Conversational Language Understanding
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions
Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning
Verification of Multi-Level Rule-Based Expert Systems
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting
Teleassistance: Contextual Guidance for Autonomous Manipulation
A Bayesian Approach for Subset Selection in Contextual Bandits
Template-Independent News Extraction Based on Visual Consistency
Compress and Control
Representing Knowledge in an Interactive Planner
Learning and Inference with Constraints
Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints
Failure Recovery: A Model and Experiments
MobileInst: Video Instance Segmentation on the Mobile
Temporal Specification Optimisation for the Event Calculus
Rating-Based Reinforcement Learning
A Fast Machine Learning Workflow for Rapid Phenotype Prediction from Whole Shotgun Metagenomes
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence
Learning Dynamic Generator Model by Alternating Back-Propagation through Time
QA RT : A System for Real-Time Holistic Quality Assurance for Contact Center Dialogues
Instance Mining with Class Feature Banks for Weakly Supervised Object Detection
Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation
Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling
Very Fast, Approximate Counterfactual Explanations for Decision Forests
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Teaching to Learn: Sequential Teaching of Learners with Internal States
Estimating Text Intelligibility via Information Packaging Analysis
Performing Bayesian Inference by Weighted Model Counting
Local Differential Privacy for Belief Functions
Alternative Filtering for the Weighted Circuit Constraint: Comparing Lower Bounds for the TSP and Solving TSPTW
Lifelong Multi-Agent Path Finding in Large-Scale Warehouses
Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning
CohEx: A Generalized Framework for Cohort Explanation
An Exponential Tail Bound for the Deleted Estimate
Towards Optimal Solar Tracking: A Dynamic Programming Approach
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling
FR-ANet: A Face Recognition Guided Facial Attribute Classification Network
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
Towards Situated Explanation
Geometry-Aware 3D Salient Object Detection Network
Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors
Improved Subsampled Randomized Hadamard Transform for Linear SVM
A Spectrum of Symbolic On-line Diagnosis Approaches
Towards Verifying the Geometric Robustness of Large-Scale Neural Networks
Responsive Information Architect: A Context-Sensitive Multimedia Conversation Framework for Information Seeking
Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models
Propagating Both Trust and Distrust with Target Differentiation for Combating Web Spam
Predicting Disease Transmission from Geo-Tagged Micro-Blog Data
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
Experiments in Evolutionary Synthesis of Robotic Neurocontrollers
Treewidth-Aware Complexity in ASP: Not all Positive Cycles are Equally Hard
Benders Decomposition for Large-Scale Prescriptive Evacuations
A Hybrid Architecture for Real-Time Mixed-Initiative Planning and Control
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition
Graph Context Transformation Learning for Progressive Correspondence Pruning
An Intelligent Assistant for Problem Behavior Management
Latent Semantic Aware Multi-View Multi-Label Classification
Incorporating Expert Knowledge into Keyphrase Extraction
Confidence-aware Non-repetitive Multimodal Transformers for TextCaps
Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning
Sensing the Air We Breathe - The OpenSense Zurich Dataset
Graph Ordering Attention Networks
A Theoretical Analysis of Optimization by Gaussian Continuation
Robust Named Entity Recognition with Truecasing Pretraining
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
Unidimensional Clustering of Discrete Data Using Latent Tree Models
Just-In-Case Scheduling
Faking Fairness via Stealthily Biased Sampling
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
Massively Parallel Support for Computationally Effective Recognition Queries
TrustAL: Trustworthy Active Learning Using Knowledge Distillation
Persuasion Strategies in Advertisements
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach
On the Incompatibility of Efficiency and Strategyproofness in Randomized Social Choice
The wall of safety for AI: approaches in the Confiance.ai program
On the Update of Description Logic Ontologies at the Instance Level
Extracting Knowledge about Users' Activities from Raw Workstation Contents
Extracting Zero-shot Structured Information from Form-like Documents: Pretraining with Keys and Triggers
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction
Ensuring Ethical Behavior from Autonomous Systems
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
WEPO: Web Element Preference Optimization for LLM-based Web Navigation
Addressing Complexity in Multi-Issue Negotiation via Utility Hypergraphs
A Testbed for the Evaluation of Multi-Agent Communication and Problem-Solving Strategies
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising
Learning the Parameters of Bayesian Networks from Uncertain Data
PARTNER: Human-in-the-Loop Entity Name Understanding with Deep Learning
Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion
Contrastive Triple Extraction with Generative Transformer
Animation with CATHI
Scientific Chart Summarization: Datasets and Improved Text Modeling
Was Fixing This Really That Hard? On the Complexity of Correcting HTN Domains
Towards Automatic Animated Storyboarding
Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data
Community Focusing: Yet Another Query-Dependent Community Detection
Interactive Training for Synthetic Characters
How to Put the Pieces of AI Together Again