yusuke1997/dblp-id-title huggingface dataset:
A Stochastic Strategy for Multiagent Contracts and the Impact of Deliberation Overhead
Transfer Learning for Deep Learning on Graph-Structured Data
Incremental, Approximate Planning
Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification
Bayesian Execution Skill Estimation
The Scaling of Search Cost
DNNs as Layers of Cooperating Classifiers
Multiobjective Lipschitz Bandits under Lexicographic Ordering
Automatic Short Answer Grading for Finnish with ChatGPT
If You Like Shapley Then You'll Love the Core
Improving Dialogue Intent Classification with a Knowledge-Enhanced Multifactor Graph Model (Student Abstract)
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning
Improving the Expressiveness of Many Sorted Logic
Computational Social Choice: Strategic and Combinatorial Aspects
Proceedings of the Nineteenth National Conference on Artificial Intelligence, Sixteenth Conference on Innovative Applications of Artificial Intelligence, July 25-29, 2004, San Jose, California, USA
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
Causal Approximations
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis
Bounded Optimal Exploration in MDP
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction
Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract)
Learning Hybrid Relationships for Person Re-identification
Towards CST-Enhanced Summarization
Moral Decision Making Frameworks for Artificial Intelligence
Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation
Trembling-Hand Perfection and Correlation in Sequential Games
Multiple Birds with One Stone: Beating 1/2 for EFX and GMMS via Envy Cycle Elimination
Improving Scene Text Image Super-resolution via Dual Prior Modulation Network
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis
Synthesizing Strategies for Epistemic Goals by Epistemic Model Checking: An Application to Pursuit Evasion Games
M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning
Fine-Grained Argument Unit Recognition and Classification
See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-Modal Fake News Detection
CircConv: A Structured Convolution with Low Complexity
Model Simplification by Asymptotic Order of Magnitude Reasoning
Sequential Model-Based Diagnosis by Systematic Search (Abstract Reprint)
SG-Net: Syntax-Guided Machine Reading Comprehension
Using Generic Geometric Models for Intelligent Shape Extraction
Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis
Actively Exploring Creation of Face Space(s) for Improved Face Recognition
SMamba: Sparse Mamba for Event-based Object Detection
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach
Probabilistic Semantics for Cost Based Abduction
Video Frame Prediction from a Single Image and Events
Visual Abstract Reasoning in Computational Imagery
Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates
MURDOCH: Publish/Subscribe Task Allocation for Heterogeneous Agents
CAISE: Conversational Agent for Image Search and Editing
Mapping and Retrieval During Plan Reuse: A Validation Structure Based Approach
Trajectory Regression on Road Networks
Improving Simultaneous Machine Translation with Monolingual Data
Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production
A Connectionist Cognitive Model for Temporal Synchronisation and Learning
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment
Characterizing Information Seeking Events in Health-Related Social Discourse
High-Resolution Iterative Feedback Network for Camouflaged Object Detection
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
SNePS Considered as a Fully Intensional Propositional Semantic Network
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models
FASTER Recurrent Networks for Efficient Video Classification
A Domain Independent Explanation-Based Generalizer
Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing
Cross-Lingual Propagation for Deep Sentiment Analysis
Estimating Stochastic Linear Combination of Non-Linear Regressions
Neural Implicit Surface Reconstruction from Noisy Camera Observations (Student Abstract)
A Prima Facie Duty Approach to Machine Ethics and Its Application to Elder Care
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner
Learning Word Representations from Relational Graphs
Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps
Contrast and Generation Make BART a Good Dialogue Emotion Recognizer
End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy
Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
On Lifted Inference Using Neural Embeddings
Clustering Approach to Solve Hierarchical Classification Problem Complexity
SegFace: Face Segmentation of Long-Tail Classes
A Nonconvex Projection Method for Robust PCA
Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
Quantitative Analysis of Analogy
A Theoretical Framework of the Graph Shift Algorithm
A Dichotomy for 2-Constraint Forbidden CSP Patterns
Automated Abstractions for Patrolling Security Games
SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines
PLANT/ds Revisited: Non-Homogeneous Evaluation Schema in Expert Systems
Real-Time Scene Text Detection with Differentiable Binarization
Personalisation of Telecommunications Services as Combinatorial Optimisation
A Generalised Solution to the Out-of-Sample Extension Problem in Manifold Learning
Conceptual Dependency and Montague Grammar: A Step Toward Conciliation
Mining User Interests from Personal Photos
Emotional Experience of Students Interacting with a System for Learning Programming
Independence Promoted Graph Disentangled Networks
Hierarchical Reinforcement Learning for Integrated Recommendation
Planning in Dynamic Environments Through Temporal Logic Monitoring
Training on the Benchmark Is Not All You Need
O-Plan: A Web-Based AI Planning Agent
Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
Rabbi: Exploring the Inner World through Stories
Marginal Benefit Driven RL Teacher for Unsupervised Environment Design
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm
Teaching Large Language Models to Translate with Comparison
Controlling Agents in Smart Matter with Global Constraints
Slimmable Generative Adversarial Networks
Proportional Representation under Single-Crossing Preferences Revisited
Visual Domain Adaptation by Consensus-Based Transfer to Intermediate Domain
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer
Applied Machine Learning for Games: A Graduate School Course
MobileTL: On-Device Transfer Learning with Inverted Residual Blocks
Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval
An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis
A Reflective Proof System for Reasoning in Contexts
Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering
Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators
Basis Adaptation for Sparse Nonlinear Reinforcement Learning
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness
Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework
Coding in the Liberal Arts through Natural Language Processing and Machine Learning
Extracting Topical Phrases from Clinical Documents
Intelligent Time-Aware Query Translation for Text Sources
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data
Optimal Estimation of Multivariate ARMA Models
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
The Effects of Performance-Contingent Financial Incentives in Online Labor Markets
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers
Improved Bounds for Computing Kemeny Rankings
Evaluating Recommender System Stability with Influence-Guided Fuzzing
A Logic for Planning under Partial Observability
Online Query Relaxation via Bayesian Causal Structures Discovery
Extended Property Paths: Writing More SPARQL Queries in a Succinct Way
GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
Sparse Learning for Stochastic Composite Optimization
Towards Knowledge-Level Analysis of Motion Planning
A Unified Taylor Framework for Revisiting Attribution Methods
A Parameterized Theory of PAC Learning
Artificial Counselor System for Stock Investment
Maximizing the Probability of Fixation in the Positional Voter Model
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation
AACP: Aesthetics Assessment of Children's Paintings Based on Self-Supervised Learning
Research Reproducibility as a Survival Analysis
A Morphology-Aware Network for Morphological Disambiguation
Predicting Propositional Satisfiability via End-to-End Learning
Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling
GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation
Trouble-Shooting by Plausible Inference
Neural Machine Translation Advised by Statistical Machine Translation
Personal Sleep Pattern Visualization via Clustering on Sound Data
Towards a More Burkean Approach to Computational Social Choice
Artificial Intelligence for Transportation: Advice, Interactivity, and Actor Modeling, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015
Posted Prices Exchange for Display Advertising Contracts
Using Errors to Create Piecewise Learnable Partitions
A Sequential Covering Evolutionary Algorithm for Expressive Music Performance
Optimal Common Contract with Heterogeneous Agents
A Computational Model for Saliency Maps by Using Local Entropy
Classification with Minimax Distance Measures
Improving Generalization of Deep Neural Networks by Optimum Shifting
Towards Debiasing DNN Models from Spurious Feature Influence
A Fast Algorithm for PAC Combinatorial Pure Exploration
Exploring the Relationship Between Samples and Masks for Robust Defect Localization
Building Explainable Artificial Intelligence Systems
Efficiency of Production Systems When Coupled with an Assumption Based Truth Maintenance System
Sparse Principal Component Analysis with Constraints
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
R2: An Efficient MCMC Sampler for Probabilistic Programs
Landmark-Based Robot Navigation
Knowledge Infusion
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video
STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification
Using Qualitative Spatial Logic for Validating Crowd-Sourced Geospatial Data
Learning Latent Opinions for Aspect-level Sentiment Classification
Automated Dispatch of Helpdesk Email Tickets: Pushing the Limits with AI
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
Knowledge Graph Embedding With Iterative Guidance From Soft Rules
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models
Video Captioning with Listwise Supervision
A Structured Connectionist Unification Algorithm
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, February 7, 2020
Proportional Belief Merging
Strong Bounds Consistencies and Their Application to Linear Constraints
Sign-Full Random Projections
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search
Auditory Stream Segregation in Auditory Scene Analysis with a Multi-Agent System
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing
Learning Task-Distribution Reward Shaping with Meta-Learning
Cooperative Multi-Agent Learning in a Complex World: Challenges and Solutions
NeSyFOLD: A Framework for Interpretable Image Classification
Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems
Low Emission Building Control with Zero-Shot Reinforcement Learning
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
Compiling Uncertainty Away: Solving Conformant Planning Problems using a Classical Planner (Sometimes)
Target Focused Shallow Transformer Framework for Efficient Visual Tracking
Understanding Enthymemes in Deductive Argumentation Using Semantic Distance Measures
Out-of-Town Recommendation with Travel Intention Modeling
Articulated Pose Estimation Using Hierarchical Exemplar-Based Models
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces
Online Resource Allocation Using Decompositional Reinforcement Learning
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem
Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer
"Reverse Gerrymandering": Manipulation in Multi-Group Decision Making
AniDraw: When Music and Dance Meet Harmoniously
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
A Qualitative Approach to Mechanical Constraint
DISXPERT: A Social Security Disability Screening Expert System
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks
CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems
A Multi-Task Deep Network for Person Re-Identification
Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
A Mediation Mechanism for Automated Negotiating Agents Whose Utility Changes over Time
Reasoning About Actual Causes in Nondeterministic Domains
Neural Reasoning for Sure Through Constructing Explainable Models
Decoupled Textual Embeddings for Customized Image Generation
On the Expressive Flexibility of Self-Attention Matrices
Reachability Games Modulo Theories with a Bounded Safety Player
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces
Combining Specialized Reasoners and General Purpose Planners: A Case Study
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning
Algorithm Synthesis through Problem Reformulation
Provably Correct Theories of Action (Preliminary Report)
A Two-Stage MaxSAT Reasoning Approach for the Maximum Weight Clique Problem
Improved Knowledge Graph Embedding Using Background Taxonomic Information
Nonlinear System Identification via Tensor Completion
Polynomial-Time Reinforcement Learning of Near-Optimal Policies
Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining
A Hoare-Style Proof System for Robot Programs
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model
C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models
Foundation Model for Material Science
AAAI Workshop on Meta-Learning and MetaDL Challenge, MetaDL@AAAI 2021, virtual, February 9, 2021
Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork
A General Theoretical Framework for Learning Smallest Interpretable Models
Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation
Explanation-Based Learning for Image Understanding
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
Deep Camouflage Images
Non-monotonic Temporal Logics that Facilitate Elaboration Tolerant Revision of Goals
Training Complex Models with Multi-Task Weak Supervision
Efficient Neural Network Encoding for 3D Color Lookup Tables
Qualitatively Describing Objects Using Spatial Prepositions
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation
A Genetic Algorithm for Finding a Small and Diverse Set of Recent News Stories on a Given Subject: How We Generate AAAI's AI-Alert
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning
CobotDS: A Spoken Dialogue System for Chat
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
Computational Social Choice and Computational Complexity: BFFs?
ConceptX: A Framework for Latent Concept Analysis
Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo
Solution Diversity in Planning
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization
Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
Building Expert Systems for Controlling Complex Programs
Friendly Artificial Intelligence: The Physics Challenge
Wind Prediction under Random Data Corruption (Student Abstract)
Novel Class Discovery in Chest X-rays via Paired Images and Text
Adding Domain Knowledge to SBL Through Feature Construction
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
Generating Dialectical Examples Automatically
R-FCN++: Towards Accurate Region-Based Fully Convolutional Networks for Object Detection
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models
Combining Approximate Front End Signal Processing with Selective Reprocessing in Auditory Perception
Recursive Best-First Search with Bounded Overhead
Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
A Text-to-Picture Synthesis System for Augmenting Communication
POST: POlicy-Based Switch Tracking
Detection of Behavior Change in People with Depression
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
Expert Guided Rule Based Prioritization of Scientifically Relevant Images for Downlinking over Limited Bandwidth from Planetary Orbiters
Enhancing Relation Extraction via Supervised Rationale Verification and Feedback
Kernelized Hashcode Representations for Relation Extraction
Isometric Projection
Explicit Representations of Problem-Solving Strategies to Support Knowledge Acquisition
Movie Summarization via Sparse Graph Construction
Video Activity Recognition in the Real World
Multi-Apartment Rent Division
Algorithms for Control and Interaction of Large Formations of Robots
SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models
Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs' Task-Specific Understanding over Test-Taking Strategies
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
Curiosity-Driven Exploration via Latent Bayesian Surprise
QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models
Discriminative and Robust Online Learning for Siamese Visual Tracking
Stable Matchings in Practice: A Constraint Programming Approach
Deep Unsupervised Hashing with Latent Semantic Components
Social Network-based Trust in Prioritized Default Logic
Qualitative Simulation as a Temporally-extended Constraint Satisfaction Problem
Almost Linear Time Density Level Set Estimation via DBSCAN
Revisiting Open-Set Panoptic Segmentation
Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction
Discovering New Intents with Deep Aligned Clustering
Principled Data-Driven Decision Support for Cyber-Forensic Investigations
A Probabilistic Model for Bursty Topic Discovery in Microblogs
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning
Fuzzy Numbers for the Improvement of Causal Knowledge Representation in Fuzzy Cognitive Maps
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Cultivating Archipelago of Forests: Evolving Robust Decision Trees Through Island Coevolution
Representing Preferences Among Sets
Spatial Annealing for Efficient Few-shot Neural Rendering
Active Geospatial Search for Efficient Tenant Eviction Outreach
Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation
Using Attention in Belief Revision
Data Efficient Paradigms for Personalized Assessment of Black-Box Taskable AI Systems
Bias and Variance of Post-processing in Differential Privacy
Deep Probabilistic Canonical Correlation Analysis
Approximate Inference of Bayesian Networks through Edge Deletion
Social Influence Does Matter: User Action Prediction for In-Feed Advertising
Distribution-Based Semi-Supervised Learning for Activity Recognition
Revisiting Tampered Scene Text Detection in the Era of Generative AI
Monitoring Arithmetic Temporal Properties on Finite Traces
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
Semantic Feature Extraction for Generalized Zero-Shot Learning
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching