yusuke1997/dblp-id-title huggingface dataset:
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities
A Risk-Sensitive Approach to Policy Optimization
Deep Active Learning with Noise Stability
Attend and Diagnose: Clinical Time Series Analysis Using Attention Models
Recovering from Selection Bias in Causal and Statistical Inference
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories
PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification
Coupled Interdependent Attribute Analysis on Mixed Data
MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking
GANs Unplugged
Improving Predictive State Representations via Gradient Descent
Learning Bayesian Network Structure by Self-Generating Prior Information: The Two-Step Clustering-Based Strategy
Building Contextual Anchor Text Representation using Graph Regularization
KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching
Eliminating False Positives during Corner Finding by Merging Similar Segments
A Fast Data Collection and Augmentation Procedure for Object Recognition
Mixed-Initiative Workflow Composition
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models
Reinforcement Learning with Non-Markovian Rewards
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
Kernel Regression with Order Preferences
Capsule Routing via Variational Bayes
Split Up: The Use of an Argument Based Knowledge Representation to Meet Expectations of Different Users for Discretionary Decision Making
Problem Solving in Frame-Structured Systems Using Interactive Dialog
GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation
Non-parametric Online Learning from Human Feedback for Neural Machine Translation
Graphical Hedonic Games of Bounded Treewidth
A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
An Analysis of Monte Carlo Tree Search
Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic
Identification of COVID-19 Related Fake News via Neural Stacking
Interest-Matching Comparisons using CP-nets
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
Exploring Text-Transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains
Learning Grasp Strategies with Partial Shape Information
Generating Tests by Exploiting Designed Behavior
Binary Matrix Factorisation via Column Generation
Unanswerable Question Correction in Question Answering over Personal Knowledge Base
Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose
Semantic Proposal for Activity Localization in Videos via Sentence Query
The Complexity of Learning Approval-Based Multiwinner Voting Rules
Learning the Preferences of Ignorant, Inconsistent Agents
Logit Perturbation
Epsilon-First Policies for Budget-Limited Multi-Armed Bandits
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning
Understanding K-12 Teachers' Needs for AI Education: A Survey-Based Study
Augmented Proximal Policy Optimization for Safe Reinforcement Learning
Skill Acquisition and Use for a Dynamically-Balancing Soccer Robot
PEIE: Physics Embedded Illumination Estimation for Adaptive Dehazing
Enhancing SQL Query Generation with Neurosymbolic Reasoning
Online Multi-Target Tracking Using Recurrent Neural Networks
Probabilistic Goal Recognition in Interactive Narrative Environments
Navigating Towards Fairness with Data Selection
Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models
Learning Token-Based Representation for Image Retrieval
Learning Language Semantics from Ambiguous Supervision
LOGnets: A Hybrid Graph Spatial Representation for Robot Navigation
SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration
Topic Models to Infer Socio-Economic Maps
A Robotic Model of Human Reference Resolution
Representing Aggregators in Relational Probabilistic Models
Bounding Quality in Diverse Planning
Generalized Queries on Probabilistic Context-Free Grammars
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
ICAR: Image-Based Complementary Auto Reasoning
Adversarially Robust Distillation
Shortest Path Based Decision Making Using Probabilistic Inference
Parametric Surface Constrained Upsampler Network for Point Cloud
Development of Iterative Scheduler to Planner Feedback
T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition
Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset
RDSNet: A New Deep Architecture forReciprocal Object Detection and Instance Segmentation
HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation
Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement
A Survey on Model Compression and Acceleration for Pretrained Language Models
Planning and Verification for Stochastic Processes with Asynchronous Events
Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity
Incorporating Nonmonotonic Reasoning in Horn Clause Theories
Neural Models for Sequence Chunking
Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images (Student Abstract)
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
BERT-based Models for Arabic Long Document Classification
FakeKG: A Knowledge Graph of Fake Claims for Improving Automated Fact-Checking (Student Abstract)
Generating Music Medleys via Playing Music Puzzle Games
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond
An Efficient Transformer Decoder with Compressed Sub-layers
Generating Diverse Translation by Manipulating Multi-Head Attention
A Heuristic Variable Grid Solution Method for POMDPs
Know Thine Enemy: A Champion RoboCup Coach Agent
An Intelligent System for Prolonging Independent Living of Elderly
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes
Learning Optimal Decision Trees Using Caching Branch-and-Bound Search
Context Maintenance
Visual Sound Localization in the Wild by Cross-Modal Interference Erasing
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
Search Strategy Generation for Branch and Bound Using Genetic Programming
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation
A Rich Context Model for Knowledge-Works
Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation
Obtaining Well Calibrated Probabilities Using Bayesian Binning
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Scaling-Up Inference in Markov Logic
GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
Consensus in Opinion Formation Processes in Fully Evolving Environments
Theory Revision via Prior Operationalization
Multi-view Consistent 3D Panoptic Scene Understanding
Same State, Different Task: Continual Reinforcement Learning without Interference
Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning
On Stratified Autoepistemic Theories
REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile
Transposition Table Driven Work Scheduling in Distributed Search
Learning General Completable Reactive Plans
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks
Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
Continual Learning with Scaled Gradient Projection
Integrating Joint Intention Theory, Belief Reasoning, and Communicative Action for Generating Team-Oriented Dialogue
Some Experiments with Case-Based Search
Learning Triple Embeddings from Knowledge Graphs
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
Designing Preferences, Beliefs, and Identities for Artificial Intelligence
Maximizing Nash Social Welfare in 2-Value Instances
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions
What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models
An Integrated Enhancement Solution for 24-Hour Colorful Imaging
Rapid Object Recognition from Discriminative Regions of Interest
Rule Ensemble Learning Using Hierarchical Kernels in Structured Output Spaces
Semantic-Aware Transformation-Invariant RoI Align
FC-TrackNet: Fast Convergence Net for 6D Pose Tracking in Synthetic Domains
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
PluGeN: Multi-Label Conditional Generation from Pre-trained Models
Optimal Auction Design for Mixed Bidders
Sparsity-Inducing Binarized Neural Networks
LADA-Trans-NER: Adaptive Efficient Transformer for Chinese Named Entity Recognition Using Lexicon-Attention and Data-Augmentation
Population-Based Simulated Annealing for Traveling Tournaments
Probabilistic Super Resolution for Mineral Spectroscopy
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
Controlling Global Statistics in Recurrent Neural Network Text Generation
DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images
Reasoning with Models
Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Accuracy vs. Efficiency Trade-offs in Probabilistic Diagnosis
DIPLOMAT: Compiling Prioritized Default Rules into Ordinary Logic Programs, for E-Commerce Applications
Planning for Human-Robot Interaction Using Time-State Aggregated POMDPs
Auto-Annotation of 3D Objects via ImageNet
HYGENE: A Diffusion-Based Hypergraph Generation Method
Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting
Differential Equation Units: Learning Functional Forms of Activation Functions from Data
Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff
Neural Time-Reversed Generalized Riccati Equation
Merging Weak and Active Supervision for Semantic Parsing
Cross-Modal Distillation for Speaker Recognition
Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition
A Hybrid Architectural Approach to Understanding and Appropriately Generating Indirect Speech Acts
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
Predicting Physical World Destinations for Commands Given to Self-Driving Cars
What Is Answer Set Programming?
Learning Cases To Resolve Conflicts and Improve Group Behavior
BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
Neighborhood-Adaptive Structure Augmented Metric Learning
Approximating Metric Magnitude of Point Sets
EMPATHICA: A Computer Support System with Visual Representations for Cognitive-Affective Mapping
Approval-Based Committee Voting under Incomplete Information
3D Assembly Completion
Two Kinds of Training Information For Evaluation Function Learning
Credit Assignment in Genetic Learning Systems
Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
A Fast Local Search Algorithm for the Latin Square Completion Problem
Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation
Using Intelligent Agents in Military Simulation or "Using Agents Intelligently"
Integrating Heuristics for Constraint Satisfaction Problems: A Case Study
Channelized Axial Attention - considering Channel Relation within Spatial Attention for Semantic Segmentation
Pragmatic Multi-Agent Learning
On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games
Parallel Hardware for Constraint Satisfaction
Recovering the Propensity Score from Biased Positive Unlabeled Data
Make Lossy Compression Meaningful for Low-Light Images
Partially Synchronized DEC-MDPs in Dynamic Mechanism Design
Federated X-armed Bandit
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints
SEM-Ether: Semantic Web Based Pervasive Computing Framework - Integrating Web, Devices and People
Fair and Efficient Allocations under Subadditive Valuations
Regularizing Neural Machine Translation by Target-Bidirectional Agreement
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
RightNow eService Center: Internet Customer Service Using a Self-Learning Knowledge Base
Deepfake Network Architecture Attribution
Optimal Multi-Agent Pathfinding Algorithms
Community Preserving Network Embedding
Input-Specific Robustness Certification for Randomized Smoothing
An Agent-Based Model Studying the Acquisition of a Language System of Logical Constructions
Statistical Relational Artificial Intelligence, Papers from the 2014 AAAI Workshop, Québec City, Québec, Canada, July 27, 2014
Absent Multiple Kernel Learning
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
Exploiting the Environment: Urban Navigation as a Case Study
Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model
Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract)
Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition
Eqilibrium Approximation Quality of Current No-Limit Poker Bots
Semantic Relatedness Using Salient Semantic Analysis
Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network
How Good Are Low-Rank Approximations in Gaussian Process Regression?
Causal Theories of Actions Revisited
Multivariate Conditional Anomaly Detection and Its Clinical Application
CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training
MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo
Fully-Scalable Massively Parallel Algorithm for k-center with Outliers
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
A Dataset for Low-Resource Stylized Sequence-to-Sequence Generation
Joint Knowledge Editing for Information Enrichment and Probability Promotion
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
Contrastive Multi-Task Dense Prediction
SciSpace Copilot: Empowering Researchers through Intelligent Reading Assistance
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
Multi-View Correlated Feature Learning by Uncovering Shared Component
Acronym Disambiguation Using Word Embedding
Source Selection for Analogical Reasoning: An Empirical Approach
Silence or Outbreak - a Real-Time Emergent Topic Identification System (RealTIS) for Social Media
Neural Architecture Search as Sparse Supernet
IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution
Machine Translation for Manufacturing: A Case Study at Ford Motor Company
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers
Developing the Wheel Image Similarity Application with Deep Metric Learning: Hyundai Motor Company Case
Tuning a Blackboard-Based Application: A Case Study Using GBB
Representing Closed Transformation Paths in Encoded Network Latent Space
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
Tensor Decomposition for Multilayer Networks Clustering
Equilibria of the Colonel Blotto Games with Costs
Self-Supervised Learning for Generalizable Out-of-Distribution Detection
Arc-Consistency in Dynamic Constraint Satisfaction Problems
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology
A Model of Invention
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks
Mastering the Explicit Opinion-Role Interaction: Syntax-Aided Neural Transition System for Unified Opinion Role Labeling
Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests
GLCC: A General Framework for Graph-Level Clustering
Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data
Interpreting Loosely Encoded Questions
CALLIC: Content Adaptive Learning for Lossless Image Compression
Agent Modeling, Papers from the 1996 AAAI Workshop
Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search
Metrics and Continuity in Reinforcement Learning
GenHMR: Generative Human Mesh Recovery
On the Density of Solutions in Equilibrium Points for the Queens Problem
Efficient Large-Scale Multi-Modal Classification
Evaluation and Deployment of a People-to-People Recommender in Online Dating
The NASD Regulation Advanced Detection System (ADS)
Learning Robust Locality Preserving Projection via p-Order Minimization
Comet: An Application of Model-Based Reasoning to Accounting Systems
Towards an AI-Infused Interdisciplinary Curriculum for Middle-Grade Classrooms
FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels
Scale-Wise Convolution for Image Restoration
G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection
AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics Behind AI
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation
Distributional Off-Policy Evaluation for Slate Recommendations
Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring
ACL-Fig: A Dataset for Scientific Figure Classification
Uniform Interpolation and Forgetting for ALC Ontologies with ABoxes
Cumulative Regret Analysis of the Piyavskii-Shubert Algorithm and Its Variants for Global Optimization
Stackelberg Voting Games: Computational Aspects and Paradoxes
Heart Rate Topic Models
Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification
Fast Optimal Clearing of Capped-Chain Barter Exchanges
The Utility of Communication in Coordinating Intelligent Agents
A Demonstration of ScriptEase Interruptible and Resumable Behaviors for CRPGs
Automatic Assessment of OCR Quality in Historical Documents
The Advantages of Abstract Control Knowledge in Expert System Design
VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting
AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge
From Unsolvable to Solvable: An Exploration of Simple Changes
Tree Approximation for Belief Updating
Large-Margin Multi-Label Causal Feature Learning
Depth-First Branch-and-Bound versus Local Search: A Case Study
Deep Wasserstein Graph Discriminant Learning for Graph Classification
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
VCG under Sybil (False-Name) Attacks - A Bayesian Analysis
Weighting for Godot: Learning Heuristics for GSAT
Model AI Assignments 2020
GDFace: Gated Deformation for Multi-View Face Image Synthesis
JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMs
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder
A Flexible Framework for Defeasible Logics
A Simple Way to Improve Path Consistency Processing in Interval Algebra Networks
An Application of the Prospector System to DOE's National Uranium Resource Evaluation
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
Improved Decision-Making in Game Trees: Recovering from Pathology
MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems
An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks
DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions
Heuristic Evaluation Functions for General Game Playing
Improved Gradient-Based Adversarial Attacks for Quantized Networks
A Nonconvex Relaxation Approach for Rank Minimization Problems
Fast Online Hashing with Multi-Label Projection
What Can Machines Know? On the Epistemic Properties of Machines
Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation
What Happens Next? Event Prediction Using a Compositional Neural Network Model
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
Cost-Sensitive Learning to Rank
Deeply Tensor Compressed Transformers for End-to-End Object Detection
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
Consensus Style Centralizing Auto-Encoder for Weak Style Classification
How to Predict Seawater Temperature for Sustainable Marine Aquaculture (Student Abstract)
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
Experimental Observations of the Topology of Convolutional Neural Network Activations
Restart Schedules for Ensembles of Problem Instances
Time-Critical Influence Maximization in Social Networks with Time-Delayed Diffusion Process
Longitudinal Deep Kernel Gaussian Process Regression
Proportional Public Decisions
Circumscriptive Theories: A Logic-based Framework for Knowledge Representation (Preliminary Report)
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
DanceFix: An Exploration in Group Dance Neatness Assessment Through Fixing Abnormal Challenges of Human Pose
An Efficient Algorithm for Counting Markov Equivalent DAGs
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea)
Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming
MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images
Complexity of Shift Bribery in Committee Elections
Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
Robot Behavior Conflicts: Can Intelligence Be Modularized?
Flexible Instance-Specific Rationalization of NLP Models
VOILA: Efficient Feature-value Acquisition for Classification
SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering