yusuke1997/dblp-id-title huggingface dataset:
Exploiting Environmental Sounds for Activity Recognition in Smart Homes
Monolingual Transfer Learning via Bilingual Translators for Style-Sensitive Paraphrase Generation
A Quantitative Study of Small Disjuncts
Anytime Coalition Structure Generation with Worst Case Guarantees
Semantic Representation
Protein Structure Prediction on the Face Centered Cubic Lattice by Local Search
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract)
Fair Information Sharing for Treasure Hunting
M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving
UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast
Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-Based Fault Detection and Identification (Abstract Reprint)
An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting
MEAL: Multi-Model Ensemble via Adversarial Learning
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation
On Organizing Online Soirees with Live Multi-Streaming
Exploring Transfer Learning For End-to-End Spoken Language Understanding
A CSA Model-Based Nuclear Power Plant Consultant
The Representation of Defaults in Cyc
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution
Federated Learning with Extremely Noisy Clients via Negative Distillation
Adaptive Step-Size for Online Temporal Difference Learning
Large-Scale Hierarchical Classification via Stochastic Perceptron
Attention-Imperceptible Backdoor Attacks on Vision Transformers
Incorporating Item Frequency for Differentially Private Set Union
Fairness-Aware Demand Prediction for New Mobility
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks
Hypernym Detection Using Strict Partial Order Networks
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning
Predicting Soccer Highlights from Spatio-Temporal Match Event Streams
Dynamic Regime Identification and Prediction Based on Observed Behavior in Electronic Marketplaces
Incremental Recompilation of Knowledge
Measuring Students' Engagement with Digital Interactive Textbooks by Analyzing Clickstream Data
Belief Change in the Context of Fallible Actions and Observations
ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects
Mixed Observability Predictive State Representations
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
Attention-Based Models for Snow-Water Equivalent Prediction
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues
Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning
Where and Why Users "Check In"
Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
When Can the Defender Effectively Deceive Attackers in Security Games?
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games
An Experimental Ethics Approach to Robot Ethics Education
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
DiamondHelp: A Collaborative Task Guidance Framework for Complex Devices
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1, +1}
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning
Interdependent Multi-Issue Negotiation for Energy Exchange in Remote Communities
Looking Beyond Text: Extracting Figures, Tables and Captions from Computer Science Papers
Game-Theoretic Approach for Non-Cooperative Planning
Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous Systems
Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
Multi-Granularity Video Object Segmentation
Mobility Data Representations for Spatiotemporal Tasks
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
Modeling Dynamic Behaviors within Population
An Optimal Transport Approach to Deep Metric Learning (Student Abstract)
Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application
Identifying Selection Bias from Observational Data
Game-Theoretic Resource Allocation for Protecting Large Public Events
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
Bandits for Cybersecurity: Adaptive Intrusion Detection Using Honeypots
Labeling the Semantic Roles of Commas
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract)
Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, BC, Canada, February 26th, 2024
Domain Transmutation in Constraint Satisfaction Problems
Being Suspicious: Critiquing Problem Specifications
Database Learning for Software Agents
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
Audit Games with Multiple Defender Resources
A General Framework for Generating Multivariate Explanations in Bayesian Networks
Block Belief Propagation for Parameter Learning in Markov Random Fields
A General Setting for Gradual Semantics Dealing with Similarity
The Complexity of Computing Robust Mediated Equilibria in Ordinal Games
Simple and Efficient Heterogeneous Graph Neural Network
From Recommendation Systems to Facility Location Games
Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals
Exploring the Contribution of Unlabeled Data in Financial Sentiment Analysis
Efficient Macroscopic Urban Traffic Models for Reducing Congestion: A PDDL+ Planning Approach
Contingent Planning Under Uncertainty via Stochastic Satisfiability
Mental Health Stigma across Diverse Genders in Generative Large Language Models - Abstract (abstract)
Curiosity-Driven Exploration with Planning Trajectories
Retrieving and Classifying Affective Images via Deep Metric Learning
Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks
On the Stability and Generalization of Triplet Learning
PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF
Examples-Rules Guided Deep Neural Network for Makeup Recommendation
Advancing Research on Equitable AI Education Through a Focus on Implementation: Insights from a Middle School Computer Vision Module Beta-Test
Pareto Optimization for Subset Selection with Dynamic Cost Constraints
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Execution and Representation of Actions and Plans in ActionPool Method
DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning
Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning
MERGE: Fast Private Text Generation
RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images
Multiwinner Voting with Possibly Unavailable Candidates
Extracting Qualitative Dynamics from Numerical Experiments
Social Choice Under Metric Preferences: Scoring Rules and STV
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
Preference Aggregation with Graphical Utility Models
Online Apprenticeship Learning
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction
A Feasibility Study of an Approach to Extend Research Footprints
Inductive Synthesis of Equational Programs
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs
FFT-Based Dynamic Token Mixer for Vision
GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
Generative Multi-Modal Knowledge Retrieval with Large Language Models
Learning form-meaning mappings for language
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Multi-Agent Team Formation: Solving Complex Problems by Aggregating Opinions
Outlier-Robust Convex Segmentation
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract)
ALIVE: Artificial Life Interactive Video Environment
Automated Design of Search with Composability
Segatron: Segment-Aware Transformer for Language Modeling and Understanding
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
Exploiting QBF Duality on a Circuit Representation
A Study of Proxies for Shapley Allocations of Transport Costs
ExpeL: LLM Agents Are Experiential Learners
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling
Using Stories to Teach Human Values to Artificial Agents
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
Improving Efficiency of SVM k -Fold Cross-Validation by Alpha Seeding
Case-Based Reasoning for Weather Prediction
On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation
Deep Learning for Fixed Model Reuse
The AC(C) Language: Integrating Answer Set Programming and Constraint Logic Programming
Federated Graph Condensation with Information Bottleneck Principles
Multiple-Agent Planning Systems
From GARCH to Neural Network for Volatility Forecast
Mediated Cheap Talk Design
Modeling Latent Non-Linear Dynamical System over Time Series
DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Black-Box Optimization with Implicit Constraints for Public Policy
Model Lineage Closeness Analysis
Integrated Introspective Case-Based Reasoning for Intelligent Tutoring Systems
Adversarial Learning for Chinese NER From Crowd Annotations
A Unified Cognitive Architecture for Physical Agents
A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation
Multimodal Alignment for Affective Content
The Genetic Algorithm as a General Diffusion Model for Social Networks
Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding
Asking Friendly Strangers: Non-Semantic Attribute Transfer
Multi-Step Reinforcement Learning: A Unifying Algorithm
Embracing Causality in Formal Reasoning
Climate Prediction via Matrix Completion
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
Solving Distributed Constraint Optimization Problems Using Ranks
FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis
Prototype-Based Explanations for Graph Neural Networks (Student Abstract)
Dynamic Generation of Complex Behavior
Learning Constraints From Examples
Exploring Efficient Strategies for Minesweeper
Frequency Selective Augmentation for Video Representation Learning
Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual Similarity
Video Semantic Clustering with Sparse and Incomplete Tags
Building Deep Networks on Grassmann Manifolds
Balancing Efficiency and Fairness in Dynamic Kidney Exchange
Incremental and Distributed Learning with Support Vector Machines
A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness
Combatting Maelstroms in Networks of Communicating Agents
Predicting the Demographics of Twitter Users from Website Traffic Data
Investigations into a Theory of Knowledge Base Revision
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
Speculative Execution for Information Agents
Network Inversion of Convolutional Neural Nets (Student Abstract)
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
Enhanced Denesity Peak Clustering for High-Dimensional Data
Integrating Community Question and Answer Archives
Exploiting Logical Structure in Lifted Probabilistic Inference
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
Catching a Baseball: A Reinforcement Learning Perspective Using a Neural Network
Using Digital Purchasing Data to Generate Public Health Evidence: Learning Unhealthy Beverage Demand from Grocery Transaction Data
Explore What LLM Does Not Know in Complex Question Answering
A Structural Complexity Analysis of Synchronous Dynamical Systems
Representative Proxy Voting
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding
HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
Incorporating Assortativity and Degree Dependence into Scalable Network Models
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation
Dataless Text Classification with Descriptive LDA
Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation
Distributional Reinforcement Learning With Quantile Regression
A Genetic Algorithm for Tuning Variable Orderings in Bayesian Network Structure Learning
How to Distribute Data across Tasks for Meta-Learning?
Implementation of Multiple Rule Firing Production Systems on Hypercube
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
The Causal Learning of Retail Delinquency
Reinforced Approximate Exploratory Data Analysis
One-for-All: Proposal Masked Cross-Class Anomaly Detection
Conditional Outlier Approach for Detection of Unusual Patient Care Actions
LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt Tuning
Diagnosability Planning for Controllable Discrete Event Systems
Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), Washington DC, USA, February 13-14, 2023
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks
Solving Risk-Sensitive POMDPs With and Without Cost Observations
Last Minute Travel Application
Multi-Level Cross-Modal Alignment for Image Clustering
Safe Reinforcement Learning via Shielding under Partial Observability
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
Detecting Sources of Healthcare Associated Infections
Multiple-Instance Learning: Multiple Feature Selection on Instance Representation
Actionable Model-Centric Explanations (Student Abstract)
On the Complexity of Extended and Proportional Justified Representation
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract)
Scavenging with a Laptop Robot
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
MiTAP, Text and Audio Processing for Bio-Security: A Case Study
Business Event Curation: Merging Human and Automated Approaches
MEID: Mixture-of-Experts with Internal Distillation for Long-Tailed Video Recognition
Challenge Problems for Artificial Intelligence (Panel Statements)
Grammatical Error Detection for Corrective Feedback Provision in Oral Conversations
What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies
Audio Feature Learning with Triplet-Based Embedding Network
Materializing Inferred and Uncertain Knowledge in RDF Datasets
Disentangled Partial Label Learning
Collective Supervision of Topic Models for Predicting Surveys with Social Media
The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game
Prometheus Design Tool
A Kernel-Oriented Model for Coalition-Formation in General Environments: Implementation and Results
Learning Sparse Representations from Datasets with Uncertain Group Structures: Model, Algorithm and Applications
SMART Frame Selection for Action Recognition
Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract)
Solving Goal Recognition Design Using ASP
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications
Generating Interactive Explanations
SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction
Efficient Energy-Optimal Routing for Electric Vehicles
SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
A Case-Based Reasoning System for Subjective Assessment
History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System
Parameterized Logical Theories
Exploiting the Structure of Hierarchical Plans in Temporal Constraint Propagation
CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs
Equivalent Causal Models
Augmenting a Nominal Assembly Motion Plan with a Compliant Behavior
Anytime Guarantees under Heavy-Tailed Data
Personalized Prediction of Trust Links in Social Networks (Student Abstract)
TIMERS: Error-Bounded SVD Restart on Dynamic Networks
Automated Lay Language Summarization of Biomedical Scientific Reviews
Learnable Similarity Functions and their Applications to Clustering and Record Linkage
Efficient Online Learning for Mapping Kernels on Linguistic Structures
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
Automated Synthesis of Social Laws in STRIPS
Explainable, Normative, and Justified Agency
Imitation Learning with Demonstrations and Shaping Rewards
Imposing Structure on Linear Programming Problems: An Empirical Analysis of Expert and Novice Models
Success in Spades: Using AI Planning Techniques to Win the World Championship of Computer Bridge
Implications of Distance over Redistricting Maps: Central and Outlier Maps
Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning
Imitation Learning via Kernel Mean Embedding
Column-Oriented Datalog Materialization for Large Knowledge Graphs
Proceedings of the Workshop on Artificial Intelligence Safety, co-located with 34th AAAI Conference on Artificial Intelligence, SafeAI@AAAI 2020, New York City, NY, USA, February 7, 2020
Introducing Variational Autoencoders to High School Students
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data
Leveraging Structure for Improved Classification of Grouped Biased Data
A Probabilistic Classification Approach for Lexical Textual Entailment
Crawling the Community Structure of Multiplex Networks
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
Structural Aggregation in Common-Sense Reasoning
Learning to Learn Decision Trees
CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking
Advancing Feature Extraction in Healthcare through the Integration of Knowledge Graphs and Large Language Models
Putting People in LLMs' Shoes: Generating Better Answers via Question Rewriter
Mechanism Design for Connecting Regions Under Disruptions
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions
Learning Causal Models of Relational Domains
A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization
An Equivalence Analysis of Binary Quantification Methods
DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models
Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning
Mind the Gap: Cake Cutting With Separation
Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of Chinese
GIF Thumbnails: Attract More Clicks to Your Videos
Complete Anytime Beam Search
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Kansas State Robotics
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Approaches for Automatically Enriching Wikipedia
Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis
Rethinking Rotation Invariance with Point Cloud Registration
Noise Based Deepfake Detection via Multi-Head Relative-Interaction
Word Sense Disambiguation for Information Retrieval
Few-Shot Domain Adaptation for Learned Image Compression
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions
Usability Issues in Knowledge Representation Systems
MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning
HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning
Constraints and Agents for a Decentralized Network Infrastructure
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions
Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes
Image Enhanced Event Detection in News Articles
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
PointPatchMix: Point Cloud Mixing with Patch Scoring
Apparently Irrational Choice as Optimal Sequential Decision Making
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images
Kernel-Based Reinforcement Learning on Representative States
Learning Planning Rules in Noisy Stochastic Worlds
A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints
Extending GENET to Solve Fuzzy Constraint Satisfaction Problems
A Sparse Parameter Learning Method for Probabilistic Logic Programs