yusuke1997/dblp-id-title huggingface dataset:
BDD-Constrained A* Search: A Fast Method for Solving Constrained DAG Shortest-Path Problems
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization
ABTWEAK: Abstracting a Nonlinear, Least Commitment Planner
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection
Core Dependency Networks
A Circumscriptive Theory for Causal and Evidential Support
RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition
Learning to Communicate Implicitly by Actions
SafeLife 1.0: Exploring Side Effects in Complex Environments
On the Partial Observability of Temporal Uncertainty
Thesis Summary: Operationalizing User-Inclusive Transparency in Artificial Intelligence Systems
Algorithm Selection via Ranking
On-line Recognition of Surgical Activity for Monitoring in the Operating Room
DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing
Introducing Symmetries to Black Box Meta Reinforcement Learning
The Scalability of the HyperPlay Technique for Imperfect-Information Games
Strategy Variations in Analogical Problem Solving
Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators
Exploring Human-Like Reading Strategy for Abstractive Text Summarization
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
The Dollar Auction with Spiteful Players
Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
Generating Multiple New Designs From a Sketch
Evidence Inference Networks for Interpretable Claim Verification
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization
Propositional Fragments for Knowledge Compilation and Quantified Boolean Formulae
RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion
Socio-Cultural Modeling for Cyber Threat Actors
A Case-Based Reasoning Application for Engineering Sales Support Using Introspective Reasoning
Robust Policy Computation in Reward-Uncertain MDPs Using Nondominated Policies
Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding
Hypergraph Optimization for Multi-Structural Geometric Model Fitting
Planning Sensorless Robot Manipulation of Sliding Objects
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution
p-Mean Regret for Stochastic Bandits
Large Scale Online Brand Networks to Study Brand Effects
An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract)
The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network
Learning Diffusions under Uncertainty
Dance of the Neurons: Unraveling Sex from Brain Signals (short paper)
An Ensemble Technique for Stable Learners with Performance Bounds
Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition
One-Shot Image Classification by Learning to Restore Prototypes
AUC Optimization from Multiple Unlabeled Datasets
SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL
Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks
Performance and Preferences: Interactive Refinement of Machine Learning Procedures
Cooperative Virtual Power Plant Formation Using Scoring Rules
Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization
Predicting Task-Specific Webpages for Revisiting
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning
LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract)
Actor Critic Deep Reinforcement Learning for Neural Malware Control
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning
An Analysis of Procedure Learning by Instruction
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Dual Compositional Learning in Interactive Image Retrieval
Learning Word Representation Considering Proximity and Ambiguity
Improved Convergence of Iterative Ontology Alignment using Block-Coordinate Descent
Object Relation Attention for Image Paragraph Captioning
FashionTailor: Controllable Clothing Editing for Human Images with Appearance Preserving
Deep-Union Completion
Network Recasting: A Universal Method for Network Architecture Transformation
Learning to Match on Graph for Fashion Compatibility Modeling
Constrained Decision Diagrams
Low-cost Addition of Preferences to DTPs and TCSPs
Reasoning About Sketches Using Context, Domain Knowledge, and Interaction with the User
Return of Frustratingly Easy Domain Adaptation
A Mobile Robot with Onboard Parallel Processor and Large Workspace Arm
Active Mini-Batch Sampling Using Repulsive Point Processes
Congestion Games with Agent Failures
Learning Operator Semantics by Analogy
Two Results Concerning Ambiguity in Shape From Shading
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
A New Challenge in Policy Evaluation
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Learning Attributes from the Crowdsourced Relative Labels
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
Towards Approximately Optimal Poker
A First-Order Formalization of Commitments and Goals for Planning
Partial Meet Revision and Contraction in Logic Programs
Differentially Private Normalizing Flows for Synthetic Tabular Data Generation
Sample-Specific Output Constraints for Neural Networks
Security Games on a Plane
Interactive Speech and Noise Modeling for Speech Enhancement
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract)
A Practical Approach to Causal Inference over Time
A Method of Calculating the Measure of Salience in Understanding Metaphors
Knowledge Compilation and Weighted Model Counting for Inference in Probabilistic Logic Programs
Unsupervised Attributed Multiplex Network Embedding
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings?
Behavioral Experiments in Email Filter Evasion
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching
A Metric for the Evaluation of Imitation
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
Non-Optimal Multi-Agent Pathfinding Is Solved (Since 1984)
Action Knowledge Transfer for Action Prediction with Partial Videos
A Computational Study of the Kemeny Rule for Preference Aggregation
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
Checking the Consistency of Combined Qualitative Constraint Networks
A Goal-Based Model of Personality for Planning-Based Narrative Generation
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement
DGE: Deep Generative Network Embedding Based on Commonality and Individuality
Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation
Natural Language Processing and Program Analysis for Supporting Todo Comments as Software Evolves
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient
Hierarchical Relational Inference
Human Computation, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 8, 2011
Developing a Language for Spoken Programming
Supporting Collaborative Activity
Scaling up Logic-Based Truth Maintenance Systems via Fact Garbage Collection
An Algebra for Cyclic Ordering of 2D Orientations
Logical Foundations of Negotiation: Outcome, Concession, and Adaptation
Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations
Dynamic Minimization of Sentential Decision Diagrams
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning
Derivation Replay for Partial-Order Planning
Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition
Towards an Understanding of Hill-Climbing Procedures for SAT
Accessible, At-Home Detection of Parkinson's Disease via Multi-Task Video Analysis
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions
Speeding Safely: Multi-Criteria Optimization in Probabilistic Planning
Synthesis of Programs from Multimodal Datasets
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
Symbiotic Attention with Privileged Information for Egocentric Action Recognition
Living Campus: Towards a Context-Aware Energy Efficient Campus Using Weighted Case Based Reasoning
Fair Generative Models via Transfer Learning
Democratization of Deep Learning Using DARVIZ
Cultural Support for Improvisation
Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models
Structured Circuit Semantics for Reactive Plan Execution Systems
Efficient Learning in Polyhedral Games via Best-Response Oracles
Revisiting Bilinear Pooling: A Coding Perspective
Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract)
Name-Ethnicity Classification and Ethnicity-Sensitive Name Matching
POMDP: State-Based Decision Making for Personalized Assistive Robots
Meaningful Explanations of Black Box AI Decision Systems
Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract)
Learning with Retrospection
An Agent-Based Model of the Emergence and Transmission of a Language System for the Expression of Logical Combinations
Subset Minimization in Dynamic Programming on Tree Decompositions
Video Event Extraction via Tracking Visual States of Arguments
Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable Resources
Large-Scale Heterogeneous Feature Embedding
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
Interfacing Sound Stream Segregation to Automatic Speech Recognition - Preliminary Results on Listening to Several Sounds Simultaneously
Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
A Hybrid Structured Object and Constraint Representation Language
Optimal Margin Distribution Learning in Dynamic Environments
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
Brain Dynamics in the Genesis of Trust as the Basis for Communication by Representations
Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface
Block Modeling-Guided Graph Convolutional Neural Networks
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
Unravelling Robustness of Deep Learning Based Face Recognition Against Adversarial Attacks
Local Search Characteristics of Incomplete SAT Procedures
Visual Pivoting for (Unsupervised) Entity Alignment
Retrieving Semantically Distant Analogies with Knowledge-Directed Spreading Activation
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
A Recipe for Global Convergence Guarantee in Deep Neural Networks
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
Approval-Based Voting with Mixed Goods
Reliable Conflictive Multi-View Learning
Cross-modulated Attention Transformer for RGBT Tracking
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling
Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments
STRATEGIST: A Program That Models Strategy-Driven and Content-Driven Inference Behavior
Evolutionary Dynamics of Q-Learning over the Sequence Form
Graph Contrastive Invariant Learning from the Causal Perspective
Roles and Teams Hedonic Games
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
The GIST Behavior Explainer
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
Adversarial Label Learning
Action-Aware Embedding Enhancement for Image-Text Retrieval
Multiagent Learning with a Noisy Global Reward Signal
On the Effectiveness of Belief State Representation in Contingent Planning
Acting Optimally in Partially Observable Stochastic Domains
SCNet: Training Inference Sample Consistency for Instance Segmentation
End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration
Domain-Independent Structured Duplicate Detection
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation
Progressive One-shot Human Parsing
Qualitative Analysis of Distributed Physical Systems with Applications to Control Synthesis
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Inferring User's Preferences using Ontologies
Optimizing the CVaR via Sampling
WikiSimple: Automatic Simplification of Wikipedia Articles
Temporal Information Extraction
Adaptive Knowledge Driven Regularization for Deep Neural Networks
Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
Maximum Entropy Inverse Reinforcement Learning
Agile Multi-Source-Free Domain Adaptation
Automatic Derivation of Finite-State Machines for Behavior Control
The Multivariate Generalised von Mises Distribution: Inference and Applications
Bootstrapping Dialog Models from Human to Human Conversation Logs
Write-righter: An Academic Writing Assistant System
Market-Oriented Programming (Abstract)
A Neat Theory of Marker Passing
Robust Market Equilibria with Uncertain Preferences
Evaluating Deep Learning Approaches for Covid19 Fake News Detection
Grid Pathfinding on the 2 k Neighborhoods
Generalized NoGoods in CSPs
Predicting Temporal Sets with Simplified Fully Connected Networks
Towards Optimal Subsidy Bounds for Envy-Freeable Allocations
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning
Enhancing Aging Biomarker Research through Large Language Models and Knowledge Graphs (Student Abstract)
An Approach to Reasoning About Continuous Change for Applications in Planning
Generalization for Explanation-Based Schema Acquisition
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation
Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision
RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement
Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision
Salient Object Detection via Low-Rank and Structured Sparse Matrix Decomposition
Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection
Achieving Intelligence Using Prototypes, Composition, and Analogy
Global Symbolic Maps from Local Navigation
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition
Symbol Description Reading
The KM / KnEd System: An Integrated Approach to Building Large-Scale Multifunctional Knowledge Bases
Conclusion-Supplement Answer Generation for Non-Factoid Questions
Stabilizing Q Learning Via Soft Mellowmax Operator
User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models
Efficient Image Similarity Search with Quadtrees (Student Abstract)
Cross-Regional Fraud Detection via Continual Learning (Student Abstract)
One-Shot Reference-based Structure-Aware Image to Sketch Synthesis
Tekkotsu: A Framework for AIBO Cognitive Robotics
Inferring Lexicographically-Ordered Rewards from Preferences
Learning Topological Maps: An Alternative Approach
Aggregating User-Centered Rankings to Improve Web Search
Object-Oriented Dynamics Learning through Multi-Level Abstraction
Problem Difficulty and the Phase Transition in Heuristic Search
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency
Human-Level AI's Killer Application: Interactive Computer Games
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models
Towards Autonomous Network Management: AI-Driven Framework for Intelligent Log Analysis, Troubleshooting and Documentation
Document Summarization Based on Data Reconstruction
Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract)
Tight Performance Guarantees of Imitator Policies with Continuous Actions
Unsupervised Deep Video Denoising with Untrained Network
Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract)
A Generic Knowledge-Base Browser and Editor
Story Realization: Expanding Plot Events into Sentences
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
DirectQE: Direct Pretraining for Machine Translation Quality Estimation
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
Fundamentals of Task-Agnostic Data Valuation
Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium
Adversarial Robust Safeguard for Evading Deep Facial Manipulation
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models
Cross-Category Highlight Detection via Feature Decomposition and Modality Alignment
Towards Knowledge-Driven Annotation
Event-Based Structural Change Detection in Urban-Scale Contact Network
SWWS: A Smart Wildlife Warning Sign System
Deep Structured Learning for Visual Relationship Detection
Restricting Logic Grammars
Mixing Binary and Continuous Connection Schemes for Knowledge Access
Reducing Leximin Fairness to Utilitarian Optimization
Transferring Localization Models across Space
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
AdGAP: Advanced Global Average Pooling
Topical Word Embeddings
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
Class-Attentive Diffusion Network for Semi-Supervised Classification
HCPRVR: An Interpreter for Logic Programs
An Autonomous Override System to Prevent Airborne Loss of Control
Skill Disentanglement in Reproducing Kernel Hilbert Space
Proper Loss Functions for Nonlinear Hawkes Processes
Relational Enhancement: A Framework for Evaluating and Designing Human-Robot Relationships
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation
Explanation Support for the Case-Based Reasoning Tool myCBR
If at First You Don't Succeed..
Learning in Open-Ended Dynamic Distributed Environments
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning
Medical Treatment Conflict Resolving in Answer Set Programming
FaceCoresetNet: Differentiable Coresets for Face Set Recognition
A Parallel Implementation of Iterative-Deepening-A*
Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement
Recasting Regional Lighting for Shadow Removal
Integrating Specialized Procedures in Proof Systems
Adaptive Two-Dimensional Embedded Image Clustering
Efficient Querying from Weighted Binary Codes
Dynamic Matching via Weighted Myopia with Application to Kidney Exchange
The Complexity of Planning Revisited - A Parameterized Analysis
Trading Agent Design and Analysis, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 15, 2013
Opinion Optimization in Directed Social Networks
ABox Abduction via Forgetting in ALC
Reconfiguration Control and Decision, Application to Smart Environments
Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
Strong and Uniform Equivalence in Answer-Set Programming: Characterizations and Complexity Results for the Non-Ground Case
Self-Reinforced Cascaded Regression for Face Alignment
Deep Convolutional Sum-Product Networks
Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems
Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph
Human Procedural Skill Acquisition: Theory, Model and Psychological Validation
Acquiring Comparative Commonsense Knowledge from the Web
Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions
Local Search Algorithms for Partial MAXSAT
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
Hypothesis Disparity Regularized Mutual Information Maximization
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics
Online Multi-Task Gradient Temporal-Difference Learning
Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding
Detecting Disclosure and Support via Deep Multi-Task Learning
Total Knowledge
Turing's Dream and the Knowledge Challenge
Exploiting Shared Resource Dependencies in Spectrum Based Plan Diagnosis
Using Domain Knowledge to Improve Monte-Carlo Tree Search Performance in Parameterized Poker Squares
Intelligent Tutoring Systems Based Upon Qualitative Model Evolutions
Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos
Bringing Order to Chaos - A Compact Representation of Partial Order in SAT-Based HTN Planning
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
Optimizing Reachability Sets in Temporal Graphs by Delaying
Multi-Source Domain Adaptation: A Causal View
Boosting Residual Networks with Group Knowledge