yusuke1997/dblp-id-title huggingface dataset:
Operator Decomposability: A New Type of Problem Structure
Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages
Admissible Criteria for Loop Control in Planning
Combating Collusion Rings Is Hard but Possible
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification
MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data
Symbol Recognition and Artificial Emotion for Making an Autonomoius Robot Attend the AAAI Conference
Deep Reinforcement Learning via Past-Success Directed Exploration
Prototyping Logic-Based AI Services with LogicUS
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models
Mining Web Query Hierarchies from Clickthrough Data
Object Contra Context: Dual Local-Global Semantic Segmentation in Aerial Images
Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions
Morphological Segmentation with Window LSTM Neural Networks
Development of an Intelligent Forensic System for Hair Analysis and Comparison
Temporal and Social Context Based Burst Detection from Folksonomies
VPDS: An AI-Based Automated Vehicle Occupancy and Violation Detection System
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Robust Solutions for Constraint Satisfaction and Optimization
Toward Determining NFA Equivalence via QBFs (Student Abstract)
Implicit Gradient Alignment in Distributed and Federated Learning
Deep Residual-Dense Lattice Network for Speech Enhancement
Learning When to Reject an Importance Sample
Using Co-Captured Face, Gaze, and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment
Nonnegative Spectral Clustering with Discriminative Regularization
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance
FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning
IntroVNMT: An Introspective Model for Variational Neural Machine Translation
Representations for Continuous Learning
Multi-Level Confidence Learning for Trustworthy Multimodal Classification
Imperceptible Adversarial Attack via Invertible Neural Networks
Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture
Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data
mCP Nets: Representing and Reasoning with Preferences of Multiple Agents
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples
Modelling Form-Meaning Systematicity with Linguistic and Visual Features
Coalition Structure Generation Utilizing Graphical Representation of Partition Function Games
LTLf Synthesis Under Unreliable Input
A Systematic Practice of Judging the Success of a Robotic Grasp Using Convolutional Neural Network
Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification
Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation
The Importance of Hyperparameter Optimisation for Facial Recognition Applications
Regret Analysis of Repeated Delegated Choice
Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
CASE: Context-Aware Semantic Expansion
Deep Activity Recognition Models with Triaxial Accelerometers
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching
Towards Optimal Randomized Strategies in Adversarial Example Game
First-Order Indefinability of Answer Set Programs on Finite Structures
H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion
Generating Adversarial Examples for Holding Robustness of Source Code Processing Models
StackReader: An RNN-Free Reading Comprehension Model
Contract Scheduling With Predictions
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy
The Deductive Synthesis of Imperative LISP Programs
Russian Doll Search for Solving Constraint Optimization Problems
Robust Autonomous Structure-based Color Learning on a Mobile Robot
CALM: Curiosity-Driven Auditing for Large Language Models
Algorithms for Trip-Vehicle Assignment in Ride-Sharing
General Error Bounds in Heuristic Search Algorithms for Stochastic Shortest Path Problems
Truthformers at Factify 2022 : Evidence aware Transformer based Model for Multimodal Fact Checking (short paper)
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Generalized Planning via Abstraction: Arbitrary Numbers of Objects
When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract)
On Being Contradictory
Hypothetical Answers to Continuous Queries over Data Streams
Ordinal Constrained Binary Code Learning for Nearest Neighbor Search
Less Is More: Token Context-Aware Learning for Object Tracking
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience
OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective
A Domain-Independent System for Case-Based Task Decomposition without Domain Theories
EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs
Conformant Planning for Domains with Constraints-A New Approach
Tractable Planning with State Variables by Exploiting Structural Restrictions
Academic Reader: An Interactive Question Answering System on Academic Literatures
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Learning Methods to Generate Good Plans: Integrating HTN Learning and Reinforcement Learning
Topological Distance Games
Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution
Information Credibility Evaluation on Social Media
Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games
On the Role of Coherence in Abductive Explanation
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability
Panlingual Lexical Translation via Probabilistic Inference
Exploring Social Context for Topic Identification in Short and Noisy Texts
Learning Greedy Policies for the Easy-First Framework
State of the Art: Reproducibility in Artificial Intelligence
Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7-10
Big-Data Mechanisms and Energy-Policy Design
Computing Pure Nash Equilibria in Symmetric Action Graph Games
Incorporating Default Inferences Into Plan Recognition
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection
The Attribute Selection Problem in Decision Tree Generation
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, AAAI 97, IAAI 97, July 27-31, 1997, Providence, Rhode Island, USA
Towards an Axiom System for Default Logic
User Model and Utility Based Power Management
Template-Based Math Word Problem Solvers with Recursive Neural Networks
Hierarchical Macro Discourse Parsing Based on Topic Segmentation
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract)
Orthogonal Graph Neural Networks
A Decision-Theoretic Planner with Dynamic Compound Reconfiguration for Distributed Real-Time Applications
Pareto Set Learning for Multi-Objective Reinforcement Learning
Reasoning with Simplifying Assumptions: A Methodology and Example
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning
EQG-RACE: Examination-Type Question Generation
Automated Intelligent Pilots for Combat Flight Simulation
Data-Driven Execution of Multi-Layered Networks for Automatic Speech Recognition
Solving Dots-And-Boxes
Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification
Betting Strategies, Market Selection, and the Wisdom of Crowds
Knowledge-Based Avoidance of Drug-Resistant HIV Mutants
On the Importance of a Research Data Archive
Local Intrinsic Dimensional Entropy
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration
Modeling Human Knowledge of Routes: Partial Knowledge and Individual Variation
Efficient Inference in Dual-Emission FHMM for Energy Disaggregation
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
Weakly Supervised Neural Symbolic Learning for Cognitive Tasks
Crowdsourced Continuous Improvement of Medical Speech Recognition
Tree Decomposition with Applications to Constraint Processing
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract)
Efficient Top-K Feature Selection Using Coordinate Descent Method
Maximin Separation Probability Clustering
Distributionally Adversarial Attack
Turning Lectures into Comic Books Using Linguistically Salient Gestures
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping
Voting with Preference Intensities
Learning to Recognize Promoter Sequences in E. coli by Modeling Uncertainty in the Training Data
Adding Local Exploration to Greedy Best-First Search in Satisficing Planning
An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems
TabNet: Attentive Interpretable Tabular Learning
Feedback-Based Self-Learning in Large-Scale Conversational AI Agents
Learning Uncertainty-Aware Temporally-Extended Actions
Between Subgraph Isomorphism and Maximum Common Subgraph
Exploiting Background Knowledge in Compact Answer Generation for Why-Questions
Fair Procedures for Fair Stable Marriage Outcomes
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract)
Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision
NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack
Determining Solvability in the Birds of a Feather Card Game
Extracting Keyphrases from Research Papers Using Citation Networks
Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion
Paragraph-level Commonsense Transformers with Recurrent Memory
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
RADAR: A Personal Assistant that Learns to Reduce Email Overload
Parallel Empirical Evaluations: Resilience despite Concurrency
Towards Solving Imperfect Recall Games
Grouping Strokes into Shapes in Hand-Drawn Diagrams
An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis
Extended Goal Recognition Design with First-Order Computation Tree Logic
Scaling Neural Program Synthesis with Distribution-Based Search
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
A Convex Formulation for Semi-Supervised Multi-Label Feature Selection
Fair Conformal Predictors for Applications in Medical Imaging
Preferred Explanations for Ontology-Mediated Queries under Existential Rules
GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians
Question Ordering in a Mixed Intiative Program Specification Dialogue
Improved Visual-Semantic Alignment for Zero-Shot Object Detection
UV-SAM: Adapting Segment Anything Model for Urban Village Identification
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
A Bayes Net Approach to Argumentation
Online (Budgeted) Social Choice
Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
Oversampling for Imbalanced Data via Optimal Transport
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding
Implementing Modal Extensions of Defeasible Logic for the Semantic Web
Negative Pre-aware for Noisy Cross-Modal Matching
Memotion Analysis through the Lens of Joint Embedding (Student Abstract)
Gerrymandering under Uncertain Preferences (Student Abstract)
Representing Databases in Frames
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
Interactive Configuration with Regular String Constraints
Max-Mim Chaining of Weighted Causal Assertions is Loop Free
Visibility Induction for Discretized Pursuit-Evasion Games
Enhancing Balanced Graph Edge Partition with Effective Local Search
On Correcting Misspelled Queries in Email Search
Fast, Near-Optimal Computation for Multi-Robot Path Planning on Graphs
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation
Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration
Does the Turing Test Demonstrate Intelligence or Not?
Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data
Online Bandit Learning for a Special Class of Non-Convex Losses
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
Developments in Multi-Agent Fair Allocation
SemSUM: Semantic Dependency Guided Neural Abstractive Summarization
Testing the Robustness of the Genetic Algorithm on the Floating Building Block Representation
CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Learning Domain-Independent Heuristics for Grounded and Lifted Planning
Adaptive Dual-domain Learning for Underwater Image Enhancement
Human-Aware AI - A Foundational Framework for Human-AI Interaction
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
BM-NAS: Bilevel Multimodal Neural Architecture Search
Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network
Harvesting Relations from the Web - Quantifiying the Impact of Filtering Functions
Rethinking Graph Regularization for Graph Neural Networks
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure
AI-Infused Collaborative Inquiry in Upper Elementary School: A Game-Based Learning Approach
Issues in Reasoning about Interaction Networks in Cells: Necessity of Event Ordering Knowledge
Trading Space for Time in Grid-Based Path Finding
Predicting Professions through Probabilistic Model under Social Context
Concept-Aware Feature Extraction for Knowledge Transfer in Reinforcement Learning
Facilitating the Evaluation of Automated Negotiators using Peer Designed Agents
Validating Generalized Plans in the Presence of Incomplete Information
Inefficiency of K-FAC for Large Batch Size Training
Scenarios as an Aid to Planning
Learning Attribute-Specific Representations for Visual Tracking
Hierarchical Text Classification as Sub-hierarchy Sequence Generation
Efficiency and Privacy Tradeoffs in Mechanism Design
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
A Monte Carlo Tree Search Player for Birds of a Feather Solitaire
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories
Systems at SDU-2021 Task 1: Transformers for Sentence Level Sequence Label
Pushing the Envelope: Planning, Propositional Logic and Stochastic Search
Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities
CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Individually Stable Dynamics in Coalition Formation over Graphs
Reuse of Neural Modules for General Video Game Playing
Efficient Constraint Generation for Stochastic Shortest Path Problems
Few-Shot Knowledge Graph Completion
Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
Exploring AI Safety in Degrees: Generality, Capability and Control
BDDs Strike Back (in AI Planning)
SAP Speaks PDDL
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
Personalized Models Resistant to Malicious Attacks for Human-centered Trusted AI
Multimodal, Multilevel Selective Attention
From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization
Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations
Characterizing Temporal Repetition
Learning to Walk with Dual Agents for Knowledge Graph Reasoning
On Analytical and Similarity-Based Classification
Human-in-the-Loop Vehicle ReID
Elevating Flow-Guided Video Inpainting with Reference Generation
Regularized Fine-Grained Meta Face Anti-Spoofing
Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting
Machine-Translated Knowledge Transfer for Commonsense Causal Reasoning
Efficient Reinforcement Learning with Relocatable Action Models
Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract)
A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems
PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary Images
PROMPT: An Innovative Design Tool
Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis
Question/Answer Matching for CQA System via Combining Lexical and Sequential Information
Compilation of Non-Contemporaneous Constraints
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
A Provable Framework of Learning Graph Embeddings via Summarization
Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting
The Proteome Analyst Suite of Automated Function Prediction Tools
Contextual Stochastic Optimization for School Desegregation Policymaking
Self-Training Based Few-Shot Node Classification by Knowledge Distillation
Automatically Constructing a Dictionary for Information Extraction Tasks
An Automatic Algorithm Designer: An Initial Implementation
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes
DocMamba: Efficient Document Pre-training with State Space Model
SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec
Worldwide Aeronautical Route Planner
EKNOT: Event Knowledge from News and Opinions in Twitter
Sparse Probabilistic Relational Projection
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare
Estimating Probability Distributions over Hypotheses with Variable Unification
Active Learning with Model Selection
Language-Models-as-a-Service: Overview of a New Paradigm and its Challenges
Designing a Hybrid AI Residency
PGSS: Pitch-Guided Speech Separation
Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning
Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion
Pic2Prep: A Multimodal Conversational Agent for Cooking Assistance
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Deep Match to Rank Model for Personalized Click-Through Rate Prediction
Neural Sequence-to-grid Module for Learning Symbolic Rules
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification
Approximate Conditional Gradient Descent on Multi-Class Classification
Posterior-Guided Neural Architecture Search
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
Efficient Evaluation of Answer Set Programs with External Sources Based on External Source Inlining
Equity Promotion in Public Transportation
Results on a Super Strong Exponential Time Hypothesis
Autonomous Inter-Task Transfer in Reinforcement Learning Domains
Learning Intuitive Physics with Multimodal Generative Models
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract)
Acquiring Speech Transcriptions Using Mismatched Crowdsourcing
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model
Human-Guided Tabu Search
Mechanization of Analytic Reasoning About Sets
The Unreasonable Effectiveness of Deep Evidential Regression
Phonotactic and Lexical Constraints in Speech Recognition
Using Contracts to Influence the Outcome of a Game
Gesturing and Embodiment in Teaching: Investigating the Nonverbal ‎Behavior of Teachers in a Virtual Rehearsal Environment ‎
Optimizing Expectation with Guarantees in POMDPs
A Nonclausal Connection-Graph Resolution Theorem-Proving Program
Dominic II: Meta-Level Control in Iterative Redesign
Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog
U-BERT: Pre-training User Representations for Improved Recommendation
Large-Scale Multi-View Subspace Clustering in Linear Time
Value-Directed Compression of Large-Scale Assignment Problems
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients
Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport
Wasserstein Distance Guided Representation Learning for Domain Adaptation
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
Grouping Iso-Velocity Points for Ego-Motion Recovery
Learning Unitary Operators with Help From u(n)
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
Validated Retrieval in Case-Based Reasoning
Modeling and Learning Vague Event Durations for Temporal Reasoning
Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract)
Dual Search in Permutation State Spaces
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
Image Formation Model Guided Deep Image Super-Resolution
Concurrent Reasoning with Inference Graphs
Entropy Induced Pruning Framework for Convolutional Neural Networks
Harvest - a System for Creating Structured Rate Filing Data from Filing PDFs
The HSIC Bottleneck: Deep Learning without Back-Propagation
Commonsense Interpretation of Triangle Behavior
Computer Generation of Birds of a Feather Puzzles
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention