yusuke1997/dblp-id-title huggingface dataset:
What's Hot in Human Language Technology: Highlights from NAACL HLT 2015
Causal Discovery from Population-Based Infant Birth and Death Records
Cooperative Games With Bounded Dependency Degree
Relational Marginal Problems: Theory and Estimation
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection
Knowledge Graph and Large Language Model for Metabolomics
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
Probabilistic Planning by Probabilistic Programming
Mixed-Curvature Multi-Modal Knowledge Graph Completion
Riemannian Stein Variational Gradient Descent for Bayesian Inference
Feature Space Singularity for Out-of-Distribution Detection
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images
Adversarial Cooperative Path-Finding: A First View
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
Forecasting Intra-Hour Imbalances in Electric Power Systems
Performance Comparison of Landmark Recognition Systems for Navigating Mobile Robots
A Design Based Approach to Constructing Computational Solutions to Diagnostic Problems
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation
Three Controversial Hypotheses Concerning Computation in the Primate Cortex
LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration
Uncertainty-Driven Dehazing Network
Consistent Query Answering over Existential Rules with Open and Closed Predicates
Constructing Dreams Using Generative AI
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
Learning to Prune Dominated Action Sequences in Online Black-Box Planning
Local Consistency in Junction Graphs for Constraint-Based Inference
Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models
Continual Planning with Sensing for Web Service Composition
Neuron Explanations for Conformal Prediction (Student Abstract)
Learning to Localize Objects with Noisy Labeled Instances
DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation
Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation
Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation
Investigations of Performance and Bias in Human-AI Teamwork in Hiring
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation
Distributed Medical Evacuation Planning: What Problem Should Each Agent Solve?
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
Generating Regular Expressions from Natural Language Specifications: Are We There Yet?
DJAO: A Communication-Constrained DCOP Algorithm that Combines Features of ADOPT and Action-GDL
Glass-Box Program Synthesis: A Machine Learning Approach
Component-Level Segmentation for Oracle Bone Inscription Decipherment
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation
A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain
An Analytic Characterization of Model Minimization in Factored Markov Decision Processes
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
Parallel Chromatic MCMC with Spatial Partitioning
Robust SAM: On the Adversarial Robustness of Vision Foundation Models
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Training and Evaluating Improved Dependency-Based Word Embeddings
Multi-Agent System Development MADE Easy
Optimal Bounds for Dissatisfaction in Perpetual Voting
Trial-Based Dynamic Programming for Multi-Agent Planning
A Transformational Analysis of the EBL Utility Problem
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
Scaling Few-Shot Learning for the Open World
Dynamic Graph Learning with Static Relations for Credit Risk Assessment
Preference Elicitation and Interview Minimization in Stable Matchings
Integrating Induction & Instruction: Connectionist Advice Taking
Seeing Beyond Shadows: Incremental Abductive Reasoning for Plan Understanding
Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks
Structured Features in Naive Bayes Classification
Clauses Versus Gates in CEGAR-Based 2QBF Solving
Darshak - An Intelligent Cinematic Camera Planning System
A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation
Demodalizing Face Recognition with Synthetic Samples
Knowledge-Based Real-Time Control: A Parallel Processing Perspective
Reinforcement Learning for POMDPs Based on Action Values and Stochastic Optimization
A Planning-Based Assistance System for Setting Up a Home Theater
Emergence of Punishment in Social Dilemma with Environmental Feedback
Implementing Troubleshooting with Batch Repair
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-commerce
PUMA: Planning Under Uncertainty with Macro-Actions
MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
Self-Paced Learning Based Graph Convolutional Neural Network for Mixed Integer Programming (Student Abstract)
The Likelihood of Structure in Preference Profiles
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data
Twitter Event Summarization by Exploiting Semantic Terms and Graph Network
Bayesian Maximum Margin Principal Component Analysis
LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding
Motion Guided Spatial Attention for Video Captioning
Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification
Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms
Task-Driven Common Representation Learning via Bridge Neural Network
Incomplete Preferences in Single-Peaked Electorates
Hierarchical LSTM for Sign Language Translation
Hybrid Activity and Plan Recognition for Video Streams
Preferences Single-Peaked on a Circle
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning
Belief Revision with General Epistemic States
Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency
Global Remote Operation of Intelligent Space Robot Assistants
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract)
Variable Importance in High-Dimensional Settings Requires Grouping
TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection
Applying Genetic Algorithms to Pronoun Resolution
Cascade Subspace Clustering
SPAN: Understanding a Question with Its Support Answers
SegFormer: A Topic Segmentation Model with Controllable Range of Attention
MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection
BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text
SmartShift: Expanded Load Shifting Incentive Mechanism for Risk-Averse Consumers
XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning
Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection
When Expectation Fails: Towards a Self-Correcting Inference System
Veto-Consensus Multiple Kernel Learning
Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League
Low-Light Image Enhancement with Normalizing Flow
HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection
A Probabilistic Parser Applied to Software Testing Documents
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment
A Nonparametric Online Model for Air Quality Prediction
Arnold: An Autonomous Agent to Play FPS Games
Epistemic Logic of Know-Who
ConvNTM: Conversational Neural Topic Model
Privacy Management in Agent-Based Social Networks
Targeted CFR
A Theory of Default Reasoning
Intrinsic Phase-Preserving Networks for Depth Super Resolution
Trust Representation and Aggregation in a Distributed Agent System
AI-Driven Road Condition Monitoring across Multiple Nations
Planning with Abstract Learned Models While Learning Transferable Subtasks
Additional Multi-Touch Attribution for Online Advertising
Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction
Tractable Classes for Directional Resolution
Hypothesis Pruning and Ranking for Large Plan Recognition Problems
Cooperating with Unknown Teammates in Complex Domains: A Robot Soccer Case Study of Ad Hoc Teamwork
Learning to Continually Learn Rapidly from Few and Noisy Data
Recursion in TEXT and Its Use in Language Generation
Searching for Backbones and Fat: A Limit-Crossing Approach with Applications
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing
Learning Binary Residual Representations for Domain-Specific Video Streaming
OFFER: Off-Environment Reinforcement Learning
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
A Qualitative Model for Temporal Reasoning with Incomplete Information
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
Fast PMI-Based Word Embedding with Efficient Use of Unobserved Patterns
Improving Generalization for AI-Synthesized Voice Detection
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Symbolic Model Checking Epistemic Strategy Logic
Knowledge Representation for Syntactic/Semantic Processing
A Scalable Message-Passing Algorithm for Supply Chain Formation
CAUI Demonstration Composing Music Based on Human Feelings
Deep Embedded Non-Redundant Clustering
Provable Pathways: Learning Multiple Tasks over Multiple Paths
Answering Counting Aggregate Queries over Ontologies of the DL-Lite Family
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
The Very Particular Structure of the Very Hard Instances
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
Span-Based Event Coreference Resolution
Conflict-Based Search for Optimal Multi-Agent Path Finding
Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction
Knowledge-Based Spatial Reasoning for Scene Generation from Text Descriptions
CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
Automatically Generating Extraction Patterns from Untagged Text
LWSIS: LiDAR-Guided Weakly Supervised Instance Segmentation for Autonomous Driving
Generative Semi-supervised Learning for Multivariate Time Series Imputation
Leadership Games and their Application in Super-Peer Networks
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
Personalized Dialogue Generation with Persona-Adaptive Attention
Diverse Beam Search for Improved Description of Complex Scenes
On Boosting Sparse Parities
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
A Multiagent System Approach to Scheduling Devices in Smart Homes
DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation
DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract)
Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting
Multi-Modal Learning over User-Contributed Content from Cross-Domain Social Media
Continuous-Time Graph Representation with Sequential Survival Process
Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis
Towards Competence in Autonomous Agents
An Evolvable Hardware Chip and Its Application as a Multi-Function Prosthetic Hand Controller
Selection of Conflict Resolution Strategies in Dynamically Organized Sensible Agent-Based Systems
A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines
Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation
Minecraft as a Platform for Project-Based Learning in AI
Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval
Active Imitation Learning
Planning under Uncertainty for Aggregated Electric Vehicle Charging Using Markov Decision Processes
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
Unsupervised Feature Selection by Pareto Optimization
Assimilation: A Strategy for Implementing Self-Reorganizing Knowledge Bases
Efficient Querying for Cooperative Probabilistic Commitments
Rephrasing the Reference for Non-autoregressive Machine Translation
CrowdWON: A Modelling Language for Crowd Processes based on Workflow Nets
Linking Artificial Intelligence Principles
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract)
Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame
An Edge Deletion Semantics for Belief Propagation and its Practical Impact on Approximation Quality
Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents
SCOUT: A Simple Game-Searching Algorithm with Proven Optimal Properties
Redefining ABA+ Semantics via Abstract Set-to-Set Attacks
The Importance of Cognition and Affect for Artificially Intelligent Decision Makers
Generalized Category Discovery with Decoupled Prototypical Network
WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
DWM: A Decomposable Winograd Method for Convolution Acceleration
Spatial Aggregation for Qualitative Assessment of Scientific Computations
Towards an AI Model of Argumentation
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection
Strategyproof Matching of Roommates and Rooms
MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification
Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context
Fast Planning through Greedy Action Graphs
Feature Clipping for Uncertainty Calibration
Improving Fairness and Privacy in Selection Problems
GSDD: Generative Space Dataset Distillation for Image Super-resolution
A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis
Distributing Coalition Value Calculations to Coalition Members
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
CUGF: A Reliable and Fair Recommendation Framework
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
Motion-blurred Video Interpolation and Extrapolation
Towards Learning Stochastic Logic Programs from Proof-Banks
Improving Approximate Value Iteration with Complex Returns by Bounding
Smooth Convex Optimization Using Sub-Zeroth-Order Oracles
Feature Selection for Ensembles
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving
On Semantic Cognition, Inductive Generalization, and Language Models
Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program
Using Case Studies to Teach Responsible AI to Industry Practitioners
On Kernel Rule's and Prime Implicants
BaitBuster: A Clickbait Identification Framework
Reconciling Situation Calculus and Fluent Calculus
Feature Selection at the Discrete Limit
In Search of Trees: Decision-Tree Policy Synthesis for Black-Box Systems via Search
CD*: A Real-Time Resolution Optimal Re-Planner for Globally Constrained Problems
Backdoors to Planning
Fast Consistency Checking of Very Large Real-World RCC-8 Constraint Networks Using Graph Partitioning
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract)
CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification
DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation
PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module
Learning Expected Emphatic Traces for Deep RL
Plausibility of Diagnostic Hypotheses: The Nature of Simplicity
Model-Free Iterative Temporal Appliance Discovery for Unsupervised Electricity Disaggregation
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling
A MaxSAT-Based Framework for Group Testing
Learning Interpretable Temporal Properties from Positive Examples Only
TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition
REPrune: Channel Pruning via Kernel Representative Selection
NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
Value Iteration Working with Belief Subset
Incentive-Compatible Forecasting Competitions
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning
Multi-world Model in Continual Reinforcement Learning
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns
Explaining Temporal Differences to Create Useful Concepts for Evaluating States
JudgeD: A Probabilistic Datalog with Dependencies
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis
Knowledge Enhanced Representation Learning for Drug Discovery
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA
Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations
Source Separation and Depthwise Separable Convolutions for Computer Audition (Student Abstract)
A Bayesian Kernel Logistic Discriminant Model: An Improvement to the Kernel Fisher's Discriminant
Metric Learning for Ordinal Data
A Unified View of Large-Scale Zero-Sum Equilibrium Computation
"Why Did You Do That?" Explainable Intelligent Robots
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure
Lifelong Learning Networks: Beyond Single Agent Lifelong Learning
Criticism, Culture, and the Automatic Generation of Artworks
Improved Algorithms for Conservative Exploration in Bandits
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving
Parameter-Free Centralized Multi-Task Learning for Characterizing Developmental Sex Differences in Resting State Functional Connectivity
Handwriting Profiling Using Generative Adversarial Networks
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations
Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
On Information Coverage for Location Category Based Point-of-Interest Recommendation
DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation
BERTMap: A BERT-Based Ontology Alignment System
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
Fast Monte-Carlo Approximation of the Attention Mechanism
Strategic Advice Provision in Repeated Human-Agent Interactions (Abstract)
ValueNet: A New Dataset for Human Value Driven Dialogue System
Interpretable Privacy Preservation of Text Representations Using Vector Steganography
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization
Human Activity Detection from RGBD Images
External-Memory Pattern Databases Using Structured Duplicate Detection
CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation
Semantic Web Development for Traditional Chinese Medicine
Task Cooperation for Semi-Supervised Few-Shot Learning
Deconstructing Planning as Satisfiability
A Reasoner for the RCC-5 and RCC-8 Calculi Extended with Constants
Responsive Information Architect: Enabling Context-Sensitive Information Seeking
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
System that Identifies Writers
G2LDetect: A Global-to-Local Approach for Hallucination Detection
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents
The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020
Reasoning about Causal Models with Infinitely Many Variables
An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention
Design and Implementation of a Replay Framework Based on a Partial Order Planner
Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks
Probabilistic Generalization of Backdoor Trees with Application to SAT
Finding Good Partial Assignments during Restart-Based Branch and Bound Search
Accurate and Robust Feature Importance Estimation under Distribution Shifts
Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity
Applying Online Search Techniques to Continuous-State Reinforcement Learning
Inference in a Topically Organized Semantic Net
Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours
Testing a KBS Using a Conceptual Model
Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization
AI and Software Engineering - Managing Exploratory Programming