yusuke1997/dblp-id-title huggingface dataset:
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration
Finding Interpretable Class-Specific Patterns through Efficient Neural Search
Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent
Near Lossless Transfer Learning for Spiking Neural Networks
Learning About Systems That Contain State Variables
Self-Adaptation of Mutation Rates and Dynamic Fitness
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary
On Designing the Optimal Integrated Ad Auction in E-commerce Platforms
Unleashing the Potential of Model Bias for Generalized Category Discovery
Action Prediction From Videos via Memorizing Hard-to-Predict Samples
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization
Joint Learning of Structural and Textual Features for Web Scale Event Extraction
Design and Implementation of Two-level Synchronization for Interactive Music Robot
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
A Neural Span-Based Continual Named Entity Recognition Model
Dynamic Concept Composition for Zero-Example Event Detection
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning
Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models
Balanced Clustering with Least Square Regression
A Self-Organizing Retrieval System for Graphs
Knowledge Representation on the Internet: Achieving Interoperability in a Dynamic, Distributed Environment
Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes
Quantifying Uncertainties in Natural Language Processing Tasks
DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning
Complexity in Classificatory Reasoning
Efficient Subspace Segmentation via Quadratic Programming
A Personal Learning Apprentice
EINNs: Epidemiologically-Informed Neural Networks
NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
A SAT+CAS Approach to Finding Good Matrices: New Examples and Counterexamples
Identifying Model Weakness with Adversarial Examiner
Using Bayesian Networks for Daily Activity Prediction
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model
Supervised User Ranking in Signed Social Networks
Analytically Tractable Models for Decision Making under Present Bias
Permutation-Based Hypothesis Testing for Neural Networks
Hierarchical Context Tagging for Utterance Rewriting
Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents
A Unified Framework for Planning with Learned Neural Network Transition Models
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations
SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration
Reasoning about Continuous Processes
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation
Efficient Goal-Directed Exploration
Incremental Density-Based Clustering with Grid Partitioning (Student Abstract)
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization
totSAT - Totally-Ordered Hierarchical Planning Through SAT
The Relative Expressiveness of Abstract Argumentation and Logic Programming
Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach
Probabilistic Logic Programming with Beta-Distributed Random Variables
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
Commonsense Knowledge Mining from the Web
User Identification by Means of Sketched Stroke Features
Using Linear Programming and Divide and Conquer to Solve Large Games of Imperfect Information
Handling Non-Sentential Utterances in a Continuous Understanding Framework
Branch and Price for Multi-Agent Plan Recognition
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization
Contrastive Clustering
NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation
Describing Rigid Body Motions in a Qualitative Theory of Spatial Regions
SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
Mathematical Modeling and Convergence Analysis of Trail Formation
The Use of Continuity in a Qualitative Physics
A Vision for Reinventing Credible Elections with Artificial Intelligence
Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence
Identifying Protein Interaction Abstracts with Contextual Bag of Words
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation
Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding
Number Restrictions on Transitive Roles in Description Logics with Nominals
The Yard Allocation Problem
A Quantitative Theory for Plan Merging
When and Why Are Deep Networks Better Than Shallow Ones?
Influence-Based Model Decomposition
Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World
Querying Attributed DL-Lite Ontologies Using Provenance Semirings
Neural Network Guided Search Control in Partial Order Planning
CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification
Goal-Driven Reasoning in DatalogMTL with Magic Sets
Unsupervised Detection of Music Boundaries by Time Series Structure Features
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Networked Restless Bandits with Positive Externalities
Preliminary Steps Toward the Automation of Induction
Self-Supervised Image Local Forgery Detection by JPEG Compression Trace
Constraint Programming for an Efficient and Flexible Block Modeling Solver
Collaborative User Clustering for Short Text Streams
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
Residual Invertible Spatio-Temporal Network for Video Super-Resolution
Stability Via Convexity and LP Duality in OCF Games
Structured Solution Methods for Non-Markovian Decision Processes
Computing Plan-Length Bounds Using Lengths of Longest Paths
Robust Bandit Learning with Imperfect Context
An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood (Student Abstract)
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification
Fault-Tolerant Offline Multi-Agent Path Planning
Hierarchical Skills and Skill-based Representation
Understanding User Migration Patterns in Social Media
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret
Structured Parameter Elicitation
Robust Estimation of Google Counts for Social Network Extraction
Adjective Scale Probe: Can Language Models Encode Formal Semantics Information?
Weighted Abstract Dialectical Frameworks
FPETS: Fully Parallel End-to-End Text-to-Speech System
msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression
A Logic for Reasoning About Game Strategies
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction
Identifying Hearing Deficiencies from Statistically Learned Speech Features for Personalized Tuning of Cochlear Implants
Team Formation with Heterogeneous Agents in Computer Games
Show Me the Way! Bilevel Search for Synthesizing Programmatic Strategies
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos
Enhance Robustness of Machine Learning with Improved Efficiency
A Proposal for Statistical Outlier Detection in Relational Structures
Enforcing Liveness in Autonomous Traffic Management
Sharpening Neural Implicit Functions with Frequency Consolidation Priors
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning
Visual Representations and Reasoning, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 11, 2010
ScaleNet - Improve CNNs through Recursively Rescaling Objects
A Minimal Encoding Approach to Feature Discovery
Decomposition-Based Solving Approaches for Stochastic Constraint Optimisation
From Static to Dynamic: Knowledge Metabolism for Large Language Models
Participatory Art Museum: Collecting and Modeling Crowd Opinions
On the Identification of a Class of Linear Models
Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics
Reduced Space and Faster Convergence in Imperfect-Information Games via Regret-Based Pruning
Overeager Reciprocal Rationality and Mixed Strategy Equilibria
Predicting the Importance of Newsfeed Posts and Social Network Friends
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
Going Beyond Primal Treewidth for (M)ILP
A Data-Driven Approach for Gin Rummy Hand Evaluation
DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions
Data-Augmented Software Diagnosis
Human and AI Perceptual Differences in Image Classification Errors
DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space
Disentangled Information Bottleneck
Mechanism Learning with Mechanism Induced Data
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition
Recognizing Intent and Trust of a Facebook Friend to Facilitate Autonomous Conversation
YOLOV: Making Still Image Object Detectors Great at Video Object Detection
Mechanism Design for Team Formation
New Length Dependent Algorithm for Maximum Satisfiability Problem
Intelligent Online Selling Point Extraction for E-commerce Recommendation
Avoiding Dead Ends in Real-Time Heuristic Search
Epsilon-Transformation: Exploiting Phase Transitions to Solve Combinatorial Optimization Problems Initial Results
Probing Linguistic Information for Logical Inference in Pre-trained Language Models
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
Towards More Robust Interpretation via Local Gradient Alignment
Data-driven Precipitation Nowcasting Using Satellite Imagery
Can Vision Transformers Learn without Natural Images?
Model AI Assignments 2023
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization
PREGO: An Action Language for Belief-Based Cognitive Robotics in Continuous Domains
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers
Similarity Reasoning and Filtration for Image-Text Matching
An Algorithmic Framework for Strategic Fair Division
Safe Reinforcement Learning through Phasic Safety-Oriented Policy Optimization
An Intelligent System for Asset and Liability Assessment
Making Judgments
MUSIC COLLAB: An IoT and ML Based Solution for Remote Music Collaboration (Student Abstract)
GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
A Situated Vacuuming Robot
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation
Parallel Logical Inference and Energy Minimization
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning
Improving the Morphology and Control Policy of Self-reconfiguring Modular Robots in Dynamic Environment (Student Abstract)
Planning with a Language for Extended Goals
A Multimodal Fusion-Based LNG Detection for Monitoring Energy Facilities (Student Abstract)
Crowdsourced Outcome Determination in Prediction Markets
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar
Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots
Decision Tree Methods for Finding Reusable MDP Homomorphisms
Interchangeability Supports Abstraction and Reformulation for Multi-Dimensional Constraint Satisfaction
Sequential and Parallel Algorithms for Frontier A* with Delayed Duplicate Detection
DFEE: Interactive DataFlow Execution and Evaluation Kit
An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation
Intelligent Retail Logistics Scheduling
Toward a Taxonomy and Computational Models of Abnormalities in Images
Pairwise Relative Offset Features for Atari 2600 Games
Multi-Label Classification of Patient Notes: Case Study on ICD Code Assignment
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process
Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data
Community Detection in Attributed Graphs: An Embedding Approach
Latent Emotion Memory for Multi-Label Emotion Classification
An Agent Design for Repeated Negotiation and Information Revelation with People
Code-Aware Cross-Program Transfer Hyperparameter Optimization
TUTORING: Instruction-Grounded Conversational Agent for Language Learners
A Dynamic Mixture Model to Detect Student Motivation and Proficiency
Abstraction Using Analysis of Subgames
Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue
Reasoning about Actions in a Probabilistic Setting
Summarization Attack via Paraphrasing (Student Abstract)
Approximations for Indivisible Concave Allocations with Applications to Nash Welfare Maximization
Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles
Pruning from Scratch
Learning Temporal, Relational, Force-Dynamic Event Definitions from Video
A Distributed Cognition Perspective on Symbiotic Cognitive Systems: External Representations as a Medium for Symbiosis
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Learning from Failure: Improving Meeting Summarization without Good Samples
Find-Path for a PUMA-Class Robot
Using Hundreds of Workstations to Solve First-Order Logic Problems
Resource-Constrained Scheduling for Maritime Traffic Management
Consecutive Decoding for Speech-to-text Translation
Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation
Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations
Predicate Invention for Bilevel Planning
Partial-Label and Structure-constrained Deep Coupled Factorization Network
EZ Reader: Embedded AI for Automatic Electronic Mall Interpretation and Routing
A New Operator for ABox Revision in DL-Lite
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework
Communicative Acts for Generating Natural Language Arguments
Efficient Average Reward Reinforcement Learning Using Constant Shifting Values
QUOTA: The Quantile Option Architecture for Reinforcement Learning
Incremental Estimation of Discrete Hidden Markov Models Based on a New Backward Procedure
Selective Uncertainty Propagation in Offline RL
Traffic Optimization for a Mixture of Self-Interested and Compliant Agents
Automatic recognition of figurative language in biomedical articles
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles
COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
Comparing Position Auctions Computationally
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks
Re-Thinking LiDAR-Stereo Fusion Frameworks (Student Abstract)
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making
Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization
The Design of a Marker Passing Architecture for Knowledge Processing
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
Informed Non-Convex Robust Principal Component Analysis With Features
Sketch and Customize: A Counterfactual Story Generator
Fourier-Net: Fast Image Registration with Band-Limited Deformation
Federated Generative Model on Multi-Source Heterogeneous Data in IoT
Submodular Span, with Applications to Conditional Data Summarization
Best-First Minimax Search: Othello Results
Efficient Algorithms for General Isotone Optimization
Using Cloud Tools for Literate Programming to Redesign an AI Course for Non-Traditional College Students
A Mechanism for Group Decision Making in Collaborative Activity
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation
Using Temporal Abstraction to Understand Recursive Programs Involving Side Effects
Agent Cooperation Can Compensate For Agent Ignorance in Constraint Satisfaction
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
Branch and Bound Algorithm Selection by Performance Prediction
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction
RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
Reading a Robot's Mind: A Model of Utterance Understanding Based on the Theory of Mind Mechanism
Relation-Aware Neighborhood Matching Model for Entity Alignment
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Convex Batch Mode Active Sampling via α-Relative Pearson Divergence
Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
Concurrent Hierarchical Reinforcement Learning
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling
Constraint-Driven Learning of Logic Programs
WikiRelate! Computing Semantic Relatedness Using Wikipedia
Geometric Multi-Model Fitting by Deep Reinforcement Learning
AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI
Achieving Counterfactual Fairness for Causal Bandit
A Smart Range Helping Cognitively-Impaired Persons Cooking
Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Multi-Instance Dimensionality Reduction
Trade-Offs Between Information and Crowding in Sequential Decisions (Student Abstract)
Document Summarization with VHTM: Variational Hierarchical Topic-Aware Mechanism
Detecting Knowledge Base Inconsistencies Using Automated Generation of Text and Examples
Aesthetically Relevant Image Captioning
Community-Based Question Answering via Contextual Ranking Metric Network Learning
Complexity of Computing Optimal Stackelberg Strategies in Security Resource Allocation Games
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract)
A Hybrid AI Framework for Sensor-Based Personal Health Monitoring towards Precision Health
MapReduce Lifting for Belief Propagation
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning
Comparing Agent Modeling For Language and Action
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA
High-Quality Policies for the Canadian Traveler's Problem
Decentralized Federated Learning with Model Caching on Mobile Agents
Solving Term Inequalities
Negation and Proof by Contradiction in Access-Limited Logic
Causal Strategic Learning with Competitive Selection
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation
Coordinating Text and Graphics in Explanation Generation
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning
Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resection with Pringle Maneuver
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution
Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration
Pragmatic Code Autocomplete
Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
Tweety - Still Flying: Some Remarks on Abnormal Birds Applicable Rules and a Default Prover
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
Bayesian Deep Collaborative Matrix Factorization
Yuan: Yielding Unblemished Aesthetics Through a Unified Network for Visual Imperfections Removal in Generated Images
TaCo: Textual Attribute Recognition via Contrastive Learning
Increased Compute Efficiency and the Diffusion of AI Capabilities
Risk-Aware Stochastic Shortest Path
Multi-Dimensional Explanation of Target Variables from Documents
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus
Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues
FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
Prob-Maxn: Playing N-Player Games with Opponent Models
Integrating Pre-trained Model into Rule-based Dialogue Management
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Computing Least Cores of Supermodular Cooperative Games
Enriching Chatter Bots With Semantic Conversation Control
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
Dual-branch Graph Feature Learning for NLOS Imaging
Developing Chatbots for Sustainability: Experiential Learning in an Undergraduate Business Course
LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages
Nonmonotonic Sorts for Feature Structures
Deep Q-learning From Demonstrations
Natural Image Matting via Guided Contextual Attention
Bookmark Hierarchies and Collaborative Recommendation
RNN-Based Sequence-Preserved Attention for Dependency Parsing