yusuke1997/dblp-id-title huggingface dataset:
Programming Robot Behavior Primitives through Human Demonstration
A Unified Framework for Real Time Motion Completion
Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs
Solving Sequential Text Classification as Board-Game Playing
M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation
On Preference-Based Search in State Space Graphs
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Graph Neural Networks with Soft Association between Topology and Attribute
Noise-Adaptive Margin-Based Active Learning and Lower Bounds under Tsybakov Noise Condition
NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
Beyond Contention: Extending Texture-Based Scheduling Heuristics
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing
Online Class-Incremental Continual Learning with Adversarial Shapley Value
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities
Bab: A novel algorithm for training clean model based on poisoned data
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing
PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts
Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets
DiPS: Differentiable Policy for Sketching in Recommender Systems
LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data
Initializing Bayesian Hyperparameter Optimization via Meta-Learning
Safe Policy Improvement for POMDPs via Finite-State Controllers
Relatedness and TBox-Driven Rule Learning in Large Knowledge Bases
Linear and Integer Programming-Based Heuristics for Cost-Optimal Numeric Planning
Inverse Abstraction of Neural Networks Using Symbolic Interpolation
Semantical Clustering of Morphologically Related Chinese Words
Hierarchically Clustered Representation Learning
When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization
A System for Medical Information Extraction and Verification from Unstructured Text
A General Bottom-up Procedure for Searching And/Or Graphs
Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games
Comparative Document Summarisation via Classification
Inference on Syntactic and Semantic Structures for Machine Comprehension
Precision-based Boosting
Hyper-Spectral Image Generation from Frequency Spectrums
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals
The Deployment-to-Saturation Ratio in Security Games
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
Robust Active Measuring under Model Uncertainty
Proposition Entailment in Educational Applications using Deep Neural Networks
A SAT + Computer Algebra System Verification of the Ramsey Problem R(3, 8) (Student Abstract)
False-Name-Proof Locations of Two Facilities: Economic and Algorithmic Approaches
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning
Initiative Defense against Facial Manipulation
Using Gaussian Process Regression for Efficient Motion Planning in Environments with Deformable Objects
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization
Inter-Task Action Correlation for Reinforcement Learning Tasks
On Data-Dependent Random Features for Improved Generalization in Supervised Learning
Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive
Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning
Self-Explanatory Simulations: Scaling Up to Large Models
Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models
A Real-Time Road Following and Road Junction Detection Vision System for Autonomous Vehicles
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes
Cognitive Robotics Using the Soar Cognitive Architecture
The Robot Intelligence Kernel
Predicting Emotions in User-Generated Videos
Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning
Hierarchical Contextualized Representation for Named Entity Recognition
Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks Over Networks
On the Relation of Constraint Answer Set Programming Languages and Algorithms
SSMI: Semantic Similarity and Mutual Information Maximization Based Enhancement for Chinese NER
SMLE: Safe Machine Learning via Embedded Overapproximation
State Tracking Networks for Dialog State Tracking
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
Mechanism Design for Mobile Geo-Location Advertising
Unsupervised Interlingual Semantic Representations from Sentence Embeddings for Zero-Shot Cross-Lingual Transfer
Improved Maximin Share Approximations for Chores by Bin Packing
Possible Winners when New Candidates Are Added: The Case of Scoring Rules
Multiagent Meta-Level Control for Predicting Meteorological Phenomena
An Automated Negotiator for an International Crisis
Testing Physical Systems
Identifying an Object that is Perceptually Indistinguishable from One Previously Perceived
Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service
UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning
Logic Error Localization and Correction with Machine Learning (Student Abstract)
The Independent LifeStyle Assistant TM (I.L.S.A.): AI Lessons Learned
Aligning Language Models Using Follow-up Likelihood as Reward Signal
Knowledge-Driven Learning and Discovery
Securing Billion Bluetooth Devices Leveraging Learning-Based Techniques
Adversarial Learning for Weakly-Supervised Social Network Alignment
Pretrained Cost Model for Distributed Constraint Optimization Problems
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence
Prioritized Component Systems
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings
TransGate: Knowledge Graph Embedding with Shared Gate Structure
How to Evaluate Behavioral Models
Computing Argumentative Explanations in Bipolar Argumentation Frameworks
The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
Improving Biomedical Entity Linking with Cross-Entity Interaction
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
Active Inference and Dynamic Gaussian Bayesian Networks for Battery Optimization in Wireless Sensor Networks
Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies
Diffusion Models Beat GANs on Topology Optimization
A Joint Model for Question Answering over Multiple Knowledge Bases
Towards Hands-Free Visual Dialog Interactive Recommendation
Maximum Reconstruction Estimation for Generative Latent-Variable Models
Rethinking Safe Control in the Presence of Self-Seeking Humans
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression
Learning Bayesian Networks with Bounded Tree-width via Guided Search
Did That Lost Ballot Box Cost Me a Seat? Computing Manipulations of STV Elections
Language Model Can Listen While Speaking
The Counterfactual NESS Definition of Causation
A Chinese Natural Language Processing System Based Upon the Theory of Empty Categories
Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies
Semantic-Aware Data Augmentation for Text-to-Image Synthesis
Sparse Group Restricted Boltzmann Machines
Similarity-Preserving Binary Signature for Linear Subspaces
Doubly Regularized Portfolio with Risk Minimization
Complete Coverage Planning: Achieving Human Interaction and Maximum Coverage During an Autonomous Robotic Vehicle Navigation of an Unknown Terrain
Automated Channel Abstraction for Advertising Auctions
A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity
Self-Interpretable Graph Learning with Sufficient and Necessary Explanations
Artificial Intelligence Applied to Assistive Technologies and Smart Environments, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016
Large-Scale Map-Making
Depth in Strategic Games
Embedding High-Level Knowledge into DQNs to Learn Faster and More Safely
GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition
Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract)
RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries
V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models
Automatic Identification of Conceptual Metaphors With Limited Knowledge
Doubly Perturbed Task Free Continual Learning
Continuous Categories For a Mobile Robot
Counter-Transitivity in Argument Ranking Semantics
Simpler Bounded Suboptimal Search
J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain
Algorithmic Fairness Verification with Graphical Models
Contrastive Functional Principal Component Analysis
Memory-Augmented Image Captioning
Sequence Matters: Harnessing Video Models in 3D Super-Resolution
Abstracting Causal Models
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
The Expressive Power of Ad-Hoc Constraints for Modelling CSPs
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
Robustness with Black-Box Adversarial Attack using Reinforcement Learning
A Hybrid-AI Approach for Competence Assessment of Automated Driving functions
Visualizing and Understanding Large-Scale Bayesian Networks
Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks
Robustly Train Normalizing Flows via KL Divergence Regularization
Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation
Retrosynthesis Prediction with Local Template Retrieval
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability
Direct Semantic Analysis for Social Image Classification
Cruising with a Battery-Powered Vehicle and Not Getting Stranded
Game4Loc: A UAV Geo-Localization Benchmark from Game Data
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty
VPDETR: End-to-End Vanishing Point DEtection TRansformers
Knowledge-Based Programming Using Abstract Data Types
Cautious Inference in Collective Classification
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
Multi-Channel Reverse Dictionary Model
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
Min-Max Submodular Ranking for Multiple Agents
An Egalitarist Fusion of Incommensurable Ranked Belief Bases under Constraints
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals
SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks
Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks
Word Sense and Case Slot Disambiguation
Memory-Augmented Theory of Mind Network
Semi-Supervised Learning for Maximizing the Partial AUC
GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained Model
Anytime Induction of Decision Trees: An Iterative Improvement Approach
Dual Mutual Information Constraints for Discriminative Clustering
A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Cobot in LambdaMOO: A Social Statistics Agent
Fast & Fair: A Collaborative Platform for Fair Division Applications
In-Context Policy Adaptation via Cross-Domain Skill Diffusion
Open-Set Facial Expression Recognition
A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition
FedRec++: Lossless Federated Recommendation with Explicit Feedback
Scene Graph-Grounded Image Generation
Processing Pragmatics for Computer-Assisted Language Instruction
Planning as Satisfiability with Preferences
Boot Camp for Cognitive Systems
A Deep Multi-Task Learning Approach to Skin Lesion Classification
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains
A Framework for Measuring Information Asymmetry
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
Using Social Relationships to Control Narrative Generation
LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening
Probability Guided Loss for Long-Tailed Multi-Label Image Classification
The Automatic Interpretation of Nominalizations
Approximate Lifted Belief Propagation
AI Governance and Lessons Learned as an AI Policy Advisor in the United States Senate
Rectangle Search: An Anytime Beam Search
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
Fair Federated Survival Analysis
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models
A Computationally Grounded Framework for Cognitive Attitudes
LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions
A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
FLAME: Differentially Private Federated Learning in the Shuffle Model
Planning and Learning with Adaptive Lookahead
Towards a Rigorous Evaluation of Time-Series Anomaly Detection
MVFNet: Multi-View Fusion Network for Efficient Video Recognition
Co-Regularized PLSA for Multi-Modal Learning
Clustering-Based Collaborative Filtering for Link Prediction
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network
On Balanced CSPs with High Treewidth
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games
On Error and Compression Rates for Prototype Rules
Verifiable and Interpretable Reinforcement Learning through Program Synthesis
The Quest Draft: An Automated Course Allocation Algorithm
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices
MetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
NP-Completeness of Outcome Optimization for Partial CP-Nets
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation
HVIS: A Human-like Vision and Inference System for Human Motion Prediction
HIPAIR: Interactive Mechanism Analysis and Design Using Configuration Spaces
One-Class Adversarial Nets for Fraud Detection
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
Photometric and Geometric Restoration of Document Images Using Inpainting and Shape-from-Shading
A Robust Bayesian Truth Serum for Non-Binary Signals
CFFT-GAN: Cross-Domain Feature Fusion Transformer for Exemplar-Based Image Translation
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction
Learning Deviation Payoffs in Simulation-Based Games
Constructive Preference Elicitation Over Hybrid Combinatorial Spaces
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting
An Efficient Global-Search Strategy in Discrete Lagrangian Methods for Solving Hard Satisfiability Problems
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization
A Model of Lexical Access of Ambiguous Words
From Label Smoothing to Label Relaxation
Multi-agent Planning via Mutually Constraining the Space of Behaviour
Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving
Compact Aspect Embedding for Diversified Query Expansions
Incorporating Implicit Link Preference Into Overlapping Community Detection
Neural Networks Incorporating Dictionaries for Chinese Word Segmentation
A Taxonomic Framework for Task Modeling and Knowledge Transfer in Manufacturing Robotics
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem
Constraint Optimisation Approaches for Designing Group-Living Captive Breeding Programmes
Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem
Closed Terminologies in Description Logics
Exploring Vacant Classes in Label-Skewed Federated Learning
Consent as a Foundation for Responsible Autonomy
Ethical Considerations for Player Modeling
Stratification for Variants of Default Logic
APRP: An Anonymous Propagation Method in Bitcoin Network
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
COMMA: Co-articulated Multi-Modal Learning
Discriminative Model Selection for Belief Net Structures
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation
Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
RI: an Expert in the Computer Systems Domain
Scaling Law for Recommendation Models: Towards General-Purpose User Representations
Erdos: Cost-Effective Peripheral Robotics for AI Education
Diagnosing Changes in An Ontology Stream: A DL Reasoning Approach
Robust Negative Sampling for Network Embedding
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
Reconfiguring Shortest Paths in Graphs
SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis
On the Computational Complexity of Temporal Projection and Plan Validation
Taming Continuous Posteriors for Latent Variational Dialogue Policies
Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination
Lazy Gaussian Process Committee for Real-Time Online Regression
Cross-View Referring Multi-Object Tracking
Chasing Fairness in Graphs: A GNN Architecture Perspective
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
Pioneering Explainable Video Fact-Checking with a New Dataset and Multi-role Multimodal Model Approach
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective
Bound Consistency for Binary Length-Lex Set Constraints
Learning to Learn: Algorithmic Inspirations from Human Problem Solving
Differential Spectral Normalization (DSN) for PDE Discovery
Stochastic Goal Recognition Design
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
An Investigation into the Feasibility of the Semantic Web
JEC-QA: A Legal-Domain Question Answering Dataset
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
Endgame Solving in Large Imperfect-Information Games
Identifying Bullies with a Computer Game
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Attention Based Data Hiding with Generative Adversarial Networks
CMUnited-98: A Team of Robotic Soccer Agents
Generalized Arc Consistency for Global Cardinality Constraint
Learning the Influence Structure between Partially Observed Stochastic Processes Using IoT Sensor Data
Logically at Factify 2022: Multimodal Fact Verfication
'Less Than One'-Shot Learning: Learning N Classes From M < N Samples
System Identification with Time-Aware Neural Sequence Models
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
Crowdsourced Action-Model Acquisition for Planning
Trustworthy AI Meets Educational Assessment: Challenges and Opportunities
The Problem of Behaviour and Preference Manipulation in AI Systems
Video-Based Person Re-Identification via Self Paced Weighting
Operationality Criteria for Recursive Predicates
Group Decision Diagram (GDD): A Compact Representation for Permutations
Founding The Domain of AI Forensics
Reinstating Combinatorial Protections for Manipulation and Bribery in Single-Peaked and Nearly Single-Peaked Electorates
Competition of Distributed and Multiagent Planners (CoDMAP)
Distributed Primal-Dual Optimization for Online Multi-Task Learning
Companion-Based Ambient Robust Intelligence (CARING)
Answering Queries Using Views over Description Logics Knowledge Bases
Interactive Learning by Demonstration with the Simon Robot
A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch
CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials
Random Composite Forests
Visual Saliency Estimation through Manifold Learning
How to Reduce Action Space for Planning Domains? (Student Abstract)
Extending Conventional Planning Techniques to Handle Actions with Context-Depen dent Effects
Multi-Reference Preference Optimization for Large Language Models
OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-Resolution
Positioning to Win: A Dynamic Role Assignment and Formation Positioning System
TreeGen: A Tree-Based Transformer Architecture for Code Generation
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
From Local to Global Coherence: A Bottom-Up Approach to Text Planning
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing