yusuke1997/dblp-id-title huggingface dataset:
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification
AI-SNIPS: A Platform for Network Intelligence-Based Pharmaceutical Security
Pruning Game Tree by Rollouts
BBookX: Building Online Open Books for Personalized Learning
Reward Certification for Policy Smoothed Reinforcement Learning
A Deployed Semantically-Enabled Interdisciplinary Virtual Observatory
Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead
Distributed Negative Sampling for Word Embeddings
Deep Confidence Guided Distance for 3D Partial Shape Registration
Order-Planning Neural Text Generation From Structured Data
Reflective Reasoning and Learning
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization
Continuous Belief Functions for Evidential Reasoning
User Interface Softbots
Using Artificial Intelligence Planning to Automate SAR Image Processing for Scientific Data Analysis
Flexible Sharpness-Aware Personalized Federated Learning
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31 - August 4, 1994, Volume 1
Perceptual Reasoning in a Hostile Environment
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
Making Cities Smarter than Their Bankers
Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach
Knowledge-Enhanced Scene Graph Generation with Multimodal Relation Alignment (Student Abstract)
Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach
Incentivizing Truthfulness Through Audits in Strategic Classification
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks
Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks
ml4xcube: Machine Learning Toolkits for Earth System Data Cubes
Incentive-Compatible Trust Mechanisms
MID-FiLD: MIDI Dataset for Fine-Level Dynamics
Learning to Classify Text from Labeled and Unlabeled Documents
Interpretation of Design Drawings by Analogy
Towards Automating Model Explanations with Certified Robustness Guarantees
Even-if Explanations: Formal Foundations, Priorities and Complexity
Grounding Natural Language References to Unvisited and Hypothetical Locations
On Strength Adjustment for MCTS-Based Programs
Teaching the Old Dog New Tricks: Supervised Learning with Constraints
DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis
Efficiency of Ad Auctions with Price Displaying
A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract)
Proof Simulation via Round-based Strategy Extraction for QBF
A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis
An Automated Reasoning Technique for Providing Moment-by-Moment Advice Concerning the Operation of a Process
INDEPROP: Information-Preserving De-propagandization of News Articles (Student Abstract)
MIPaaL: Mixed Integer Program as a Layer
Temporal Segmentation of Fine-gained Semantic Action: A Motion-Centered Figure Skating Dataset
Finite Entailment of Local Queries in the Z Family of Description Logics
Probabilistic Dependency Graphs
Support Consistency of Direct Sparse-Change Learning in Markov Networks
Reinforced History Backtracking for Conversational Question Answering
Inferring Concept Prerequisite Relations from Online Educational Resources
Towards Quicker Probabilistic Recognition with Multiple Goal Heuristic Search
Text2midi: Generating Symbolic Music from Captions
Participation of UC3M in SDU@AAAI-21: A Hybrid Approach to Disambiguate Scientific Acronyms
Distributed Representations for Arithmetic Word Problems
Tailoring Retrieval to Support Case-Based Teaching
Study of Lower Bound Functions for MAX-2-SAT
Specifying What You Know or Not for Multi-Label Class-Incremental Learning
Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos
Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation
Robust Federated Learning via Collaborative Machine Teaching
Superpoint Transformer for 3D Scene Instance Segmentation
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
Active Audition for Humanoid
Scalable Equilibrium Computation in Multi-agent Influence Games on Networks
A SAT-based Resolution of Lam's Problem
Tartanian7: A Champion Two-Player No-Limit Texas Hold'em Poker-Playing Program
Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction
How to Plan When Being Deliberately Misled
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments
Sequential Copying Networks
MuMIC - Multimodal Embedding for Multi-Label Image Classification with Tempered Sigmoid
Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach
Solving Peg Solitaire with Bidirectional BFIDA
Real Time Causal Monitors for Complex Physical Sites
TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models
SAFE: A Neural Survival Analysis Model for Fraud Early Detection
Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia
Pancreatic Cancer Diagnosis System
Partial Multi-Label Learning with Noisy Label Identification
Source Free Transfer Learning for Text Classification
Heterogeneous Graph Masked Autoencoders
Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews
Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model
The Metric Distortion of Multiwinner Voting
The KOJAK Group Finder: Connecting the Dots via Integrated Knowledge-Based and Statistical Reasoning
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
The Partially Observable Off-Switch Game
Learning Optimal Features via Partial Invariance
ECLAIR: Enhanced Clarification for Interactive Responses
Human-Like Spatial Reasoning Formalisms
A Computational Theory of Turn-Taking
One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object
Global Policy Construction in Modular Reinforcement Learning
'Knowing Whether' in Proper Epistemic Knowledge Bases
Retrieving Game States with Moment Vectors
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
An Improved Algorithm for Online Min-Sum Set Cover
Fuzzy Neural Networks in a Palm Environment
Scene Text Recognition from Two-Dimensional Perspective
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues
Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay
An Intelligent Aid for Circuit Redesign
Censored Fairness through Awareness
Towards Verifiably Ethical Robot Behaviour
A Framework for Representing and Solving NP Search Problems
A Fair Generative Model Using LeCam Divergence
A Multi-Pass Sieve for Name Normalization
Using a Robot Control Architecture to Automate Space Shuttle Operations
Lifted Inference for Relational Continuous Models
Planning in Models that Combine Memory with Predictive Representations of State
Topic Concentration in Query Focused Summarization Datasets
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning
Spatio-Temporal Graph Structure Learning for Traffic Forecasting
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
The Impact of Vertical Specialization on Hierarchical Multi-Agent Systems
Relational Partially Observable MDPs
Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising
EASy: Expert Authorizations System
An Abstract View on Modularity in Knowledge Representation
Contextual Reasoning Is NP-Complete
A Highly-Parameterized Ensemble to Play Gin Rummy
Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery
A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors
How Should an Agent Practice?
Voting Rules As Error-Correcting Codes
Restraining Bolts for Reinforcement Learning Agents
Balanced Linear Contextual Bandits
Deliberate Attention Networks for Image Captioning
Partial Pathfinding Using Map Abstraction and Refinement
Combining Rules and Ontologies into Clopen Knowledge Bases
A Method for Metric Temporal Reasoning
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning
Exploiting Contextual Embeddings to Extract Topic Genealogy from Scientific Literature
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent
Schur Number Five
Prices Matter for the Parameterized Complexity of Shift Bribery
Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison
Editing Language Model-Based Knowledge Graph Embeddings
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process
A Kernel Approach to Comparing Distributions
Bootstrapping Multi-View Representations for Fake News Detection
HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation
Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation
Implicit Ordering of Defaults in Inheritance Systems
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction
Delivering Trustworthy AI through Formal XAI
Against Forward Models
Fast and Accurate Predictions of IDA*'s Performance
Incrementally Solving Functional Constraints
Towards Topological-Transformation Robust Shape Comparison: A Sparse Representation Based Manifold Embedding Approach
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract)
Reinforcement Learning-based Product Delivery Frequency Control
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion
Security Games for Controlling Contagion
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement
Decentralised Metacognition in Context-Aware Autonomic Systems: Some Key Challenges
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
A Study of Compact Reserve Pricing Languages
Multi-Agent Algorithms for Solving Graphical Games
Efficient Structure Learning in Factored-State MDPs
Column Networks for Collective Classification
Simplifying Control Mechanism in Text-to-Image Diffusion Models
Personalized Guided Tour by Multiple Robots through Semantic Profile Definition and Dynamic Redistribution of Participants
Multi-Task Active Learning with Output Constraints
AVS-Net: Automatic Visual Surveillance Using Relation Network
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition
SSL-STMFormer Self-Supervised Learning Spatio-Temporal Entanglement Transformer for Traffic Flow Prediction
Jointly Modeling Topics and Intents with Global Order Structure
Revisiting CAD Model Generation by Learning Raster Sketch
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
Learning to Predict Readability Using Eye-Movement Data From Natives and Learners
Robust Finite-State Controllers for Uncertain POMDPs
Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning
What's Hot in Crowdsourcing and Human Computation
Towards In-Distribution Compatible Out-of-Distribution Detection
HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning
Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration
DARES: A Distributed Automated REasoning System
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
Hedonic Games with Fixed-Size Coalitions
Integrating Multiple Sources of Knowledge Into Designer Soar, an Automatic Algorithm Designer
Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals
The Role and Identification of Dialog Acts in Online Chat
Symbolic Causal Networks
Inducing Design Biases that Characterize Successful Experimentation in Weak-Theory Domains: TIPS
Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics
A Formal Framework for Studying Interaction in Human-Robot Societies
Bypassing Combinatorial Protections: Polynomial-Time Algorithms for Single-Peaked Electorates
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
Error Bounds for Approximate Value Iteration
Persistent Homology through Image Segmentation (Student Abstract)
MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices
Knowledge Level Learning in Soar
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models
Robot Self-Recognition Using Conditional Probability-Based Contingency
On the Inducibility of Stackelberg Equilibrium for Security Games
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
Empirical Comparison of Multi-Label Classification Algorithms
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents
Coping with Temporal Constraints in Multimedia Presentation Planning
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
The Design of a Legal Analysis Program
Stress Testing of Meta-learning Approaches for Few-shot Learning
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation
Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization
Class Semantic Attribute Perception Guided Zero-Shot Learning
Fair Participation via Sequential Policies
FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract)
Probabilistic Planning with Reduced Models
Hierarchic Autoepistemic Theories for Nonmonotonic Reasoning
Tree Learning: Optimal Sample Complexity and Algorithms
Generalization of Graph Neural Networks Is Robust to Model Mismatch
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
Classification with Costly Features Using Deep Reinforcement Learning
Efficient Non-local Contrastive Attention for Image Super-resolution
Identification for Tree-Shaped Structural Causal Models in Polynomial Time
The Expected Value of Hierarchical Problem-Solving
Logical Representation and Computation of Optimal Decisions in a Qualitative Setting
Parallelizing Plan Recognition
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks
The Keystone Scavenger Team
The Emergence Engine: A Behavior Based Agent Development Environment for Artists
Learning Diverse Risk Preferences in Population-Based Self-Play
Approximating the Shapley Value without Marginal Contributions
Communication and Interaction in Multi-Agent Planning
Towards Experienced Anomaly Detector Through Reinforcement Learning
Long-Term Image Boundary Prediction
Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification
Some Computational Aspects of Circumscription
Towards Computational Foreseeability
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies
Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract)
Community-Centric Graph Unlearning
Exploring EPCG in The Witness
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition
Fast Electrical Demand Optimization Under Real-Time Pricing
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
Bribery in Voting With Soft Constraints
Effective Short-Term Opponent Exploitation in Simplified Poker
Exploiting Support Sets for Answer Set Programs with External Evaluations
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning
The Belief Calculus and Uncertain Reasoning
Low-Latency Space-Time Supersampling for Real-Time Rendering
Morphing and Sampling Network for Dense Point Cloud Completion
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
CatmullRom Splines-Based Regression for Image Forgery Localization
Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive Learning
ServerDroid: A MultiMedia Service Robot
DiffuseHigh: Training-Free Progressive High-Resolution Image Synthesis Through Structure Guidance
Zero Shot Learning with the Isoperimetric Loss
Adaptive Polling for Information Aggregation
Machine Translation of Spatial Expressions: Defining the Relation between an Interlingua and a Knowledge Representation System
Mutual-Modality Adversarial Attack with Semantic Perturbation
Verification of Knowledge Bases Based on Containment Checking
Interpreting Multivariate Shapley Interactions in DNNs
Learning Representations in Model-Free Hierarchical Reinforcement Learning
Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning
Second Order Techniques for Learning Time-series with Structural Breaks
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions?
A Demonstration of Compositional, Hierarchical Interactive Task Learning
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation
Classical Planning Algorithms on the Atari Video Games
From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract)
Single Document Summarization with Document Expansion
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Representation Discovery for MDPs Using Bisimulation Metrics
Painterly Image Harmonization in Dual Domains
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
Interactive Narrative Planning in The Best Laid Plans
Sketch Recognition with Natural Correction and Editing
Market-Based Explanations of Collective Decisions
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
Model and Reinforcement Learning for Markov Games with Risk Preferences
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs
Probabilistic Alternating-Time Temporal Logic of Incomplete Information and Synchronous Perfect Recall
Constraint-Driven Explanations for Black-Box ML Models
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
Persuading Voters in District-based Elections
LOBOtomous: An Autonomous Platform for Indoor Environments
On Unconstrained Quasi-Submodular Function Optimization
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis
Causal Ordering in a Mixed Structure
Active Learning for Crowdsourcing Using Knowledge Transfer
Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi
Does Head Label Help for Long-Tailed Multi-Label Text Classification
Revenue Maximization for Finitely Repeated Ad Auctions
A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract)
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation
Accelerating SAT Solving by Common Subclause Elimination
ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing
Generalizing Boundary Points
Neural-Symbolic Integration: A Compositional Perspective
Deep Modeling of Social Relations for Recommendation
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
Weighting-based Variable Neighborhood Search for Optimal Camera Placement
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors
Layer Compression of Deep Networks with Straight Flows
Power Iterated Color Refinement
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation
Numerical Approximations of Log Gaussian Cox Process (Student Abstract)
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
On the Optimal Efficiency of A* with Dominance Pruning
MailCat: An Intelligent Assistant for Organizing E-Mail
Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model
Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), Remote, February 14, 2023
Transformer-Capsule Model for Intent Detection (Student Abstract)
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
A Multi-Dimensional Trust Model for Heterogeneous Contract Observations
A Model for Intransitive Preferences
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
Generalizing Math Word Problem Solvers via Solution Diversification
Mobile, Collaborative, Context-Aware Systems
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment
Case-Based Introspection
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
Complexity of the Stable Invitations Problem
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities
The Use of Knowledge-Based Systems Techniques for Risk Assessment
Modality-Aware Shot Relating and Comparing for Video Scene Detection
Explainable Agency for Intelligent Autonomous Systems
Near Optimal Objects Packing through Dimensional Unfolding
Deep Domain-Adversarial Image Generation for Domain Generalisation
Certified Symmetry and Dominance Breaking for Combinatorial Optimisation