yusuke1997/dblp-id-title huggingface dataset:
Delivering the Smart Grid: Challenges for Autonomous Agents and Multi-Agent Systems Research
Dual-level Collaborative Transformer for Image Captioning
Envy Quotes and the Iterated Core-Selecting Combinatorial Auction
Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction
Graphically Representing Child-Robot Interaction Proxemics
Solving Games with Functional Regret Estimation
Learning the Common Structure of Data
Efficient Propositional Constraint Propagation
The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract)
Provable Robustness against a Union of L_0 Adversarial Attacks
AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection
Smokey: Automatic Recognition of Hostile Messages
Eye Finding via Face Detection for a Foveated Active Vision System
RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks
Exchangeable Generative Models with Flow Scans
Deep Representation-Decoupling Neural Networks for Monaural Music Mixture Separation
On the Robustness of Distributed Machine Learning Against Transfer Attacks
Point-based Dynamic Programming for DEC-POMDPs
Two Weighting Local Search for Minimum Vertex Cover
Reinforcement Learning with Time
New l1-Norm Relaxations and Optimizations for Graph Clustering
Focusing on Probable Diagnoses
Joint Word Representation Learning Using a Corpus and a Semantic Lexicon
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
Active Learning for Domain Adaptation: An Energy-Based Approach
Cross-Domain Metric Learning Based on Information Theory
Quantitative Modeling of Complex Computational Task Environments
Meta-Learning PAC-Bayes Priors in Model Averaging
Domain Adaptation with Adversarial Training on Penultimate Activations
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition
MCL: Multi-Granularity Contrastive Learning Framework for Chinese NER
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution
Leveraging Video Descriptions to Learn Video Question Answering
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
Improving Language Modelling with Noise Contrastive Estimation
A Topic Model for Linked Documents and Update Rules for its Estimation
Saving Redundant Messages in BnB-ADOPT
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization
PRECISE on ATIS: Semantic Tractability and Experimental Results
One Step Learning, One Step Review
Coherent Dialogue with Attention-Based Language Models
A Three-Level Optimization Model for Nonlinearly Separable Clustering
Towards Real-Time Segmentation on the Edge
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior
Adversarial Binary Collaborative Filtering for Implicit Feedback
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
Variable-Selection Heuristics in Local Search for SAT
Bayesian Networks for Speech and Image Integration
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability
Learning and Inferring Transportation Routines
Multi-View 3D Human Tracking in Crowded Scenes
Semi-random Impossibilities of Condorcet Criterion
Gamma-Nets: Generalizing Value Estimation over Timescale
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability
g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
"Allot?" is "A Lot!" Towards Developing More Generalized Speech Recognition System for Accessible Communication
DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection
Discontinuous Constituent Parsing with Pointer Networks
Poisoning-Based Backdoor Attacks in Computer Vision
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection
Provably Powerful Graph Neural Networks for Directed Multigraphs
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
Characterizing Abstraction Hierarchies for Planning
Satellite Detection of Moving Vessels in Marine Environments
ParGo: Bridging Vision-Language with Partial and Global Views
Counterfactual Learning with General Data-Generating Policies
Scalable Acceleration for Classification-Based Derivative-Free Optimization
A Distributed Constraint Optimization Solution to the P2P Video Streaming Problem
Envy-Free Division of Sellable Goods
Benchmarking and Understanding Compositional Relational Reasoning of LLMs
NOMATTERXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models
Incentivizing Users for Balancing Bike Sharing Systems
PEAK: Pyramid Evaluation via Automated Knowledge Extraction
Bursting the Filter Bubble: Fairness-Aware Network Link Prediction
Local Path Integration for Attribution
Generating Diverse Plans Using Quantitative and Qualitative Plan Distance Metrics
Weakly Supervised Disentanglement by Pairwise Similarities
Visual Memory QA: Your Personal Photo and Video Search Agent
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions
Efficient Gradient Approximation Method for Constrained Bilevel Optimization
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
Visual Explanation of Evidence with Additive Classifiers
Probabilistic Evaluation of Counterfactual Queries
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning
Zhorai: Designing a Conversational Agent for Children to Explore Machine Learning Concepts
Phase Transitions for Scale-Free SAT Formulas
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach
An Intelligent Tutoring System for Interpreting Ground Tracks
MCA: Moment Channel Attention Networks
Efficient Buyer Groups for Prediction-of-Use Electricity Tariffs
GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates
OpenEval: Web Information Query Evaluation
An Efficient Approach to Model-Based Hierarchical Reinforcement Learning
Towards Synthesizing Optimal Coordination Modules for Distributed Agents
Computational Intractability and Solvability for the Birds of a Feather Game
Natural Language Multiprocessing: A Case Study
A Complexity Analysis of Cooperative Mechanisms in Reinforcement Learning
Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning
A Hybrid Bandit Framework for Diversified Recommendation
Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction
Proceedings of the National Conference on Artificial Intelligence, Pittsburgh, PA, USA, August 18-20, 1982
Forming Probably Stable Communities with Limited Interactions
Constrained Fair and Efficient Allocations
Bootstrapping Large Language Models for Radiology Report Generation
Improving Neural Fine-Grained Entity Typing With Knowledge Attention
SemNews: A Semantic News Framework
Subspace Selection via DR-Submodular Maximization on Lattices
Tradutor: Building a Variety Specific Translation Model
Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search
Journal-Ranking.com: An Online Interactive Journal Ranking System
Multi-scale Activation, Selection, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition
A New Burrows Wheeler Transform Markov Distance
Unifying Visual and Vision-Language Tracking via Contrastive Learning
Is There a Strongest Die in a Set of Dice with the Same Mean Pips?
Class Fairness in Online Matching
Automatic Construction of User-Interface Displays
Multi-Instance Multi-Label Classification from Crowdsourced Labels
Hybrid Graph Neural Networks for Crowd Counting
Spectral DefocusCam: Compressive Hyperspectral Imaging from Defocus Measurements
Deep Graph Spectral Evolution Networks for Graph Topological Evolution
PYLON: A PyTorch Framework for Learning with Constraints
Single Character Perturbations Break LLM Alignment
Open Mind Common Sense: Crowd-sourcing for Common Sense
Quantifying and Detecting Collective Motion by Manifold Learning
Approximate World Models: Incorporating Qualitative and Linguistic Information into Vision Systems
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023
GEONet: Global Enhancement and Optimization Network for Lane Detection
CoChat: Enabling Bot and Human Collaboration for Task Completion
A One-Size-Fits-All Solution to Conservative Bandit Problems
MicroScholar: Mining Scholarly Information from Chinese Microblogs
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks
Faster Algorithms for Weak Backdoors
Global Model Checking on Pushdown Multi-Agent Systems
Classical Planning with Avoid Conditions
When Online Learning Meets ODE: Learning without Forgetting on Variable Feature Space
Zero-Suppressed Sentential Decision Diagrams
Using Description Logics for RDF Constraint Checking and Closed-World Recognition
A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities
A Finite Memory Automaton for Two-Armed Bernoulli Bandit Problems
Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications
Stop-Gradient Softmax Loss for Deep Metric Learning
Conversational Neuro-Symbolic Commonsense Reasoning
Inapproximability of Optimal Multi-Agent Pathfinding Problems
Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions
Parallelized Hitting Set Computation for Model-Based Diagnosis
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
NukCP: An Improved Local Search Algorithm for Maximum k-Club Problem
Hierarchical Recurrent Attention Network for Response Generation
Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality
Representing Scientific Experiments: Implications for Ontology Design and Knowledge Sharing
An Efficient Forest-Based Tabu Search Algorithm for the Split-delivery Vehicle Routing Problem
SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs
Sentic Activation: A Two-Level Affective Common Sense Reasoning Framework
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation
OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow
Simple Search Methods for Finding a Nash Equilibrium
Simple Weak Coresets for Non-decomposable Classification Measures
FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments
The VITA Financial Services Sales Support Environment
DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection
Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games
Formalizing Anthropomorphism Through Games: A Study in Deep Neural Networks
Dictionary Learning Inspired Deep Network for Scene Recognition
Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Scalable Robust Kidney Exchange
Multi-Source Domain Adaptation for Visual Sentiment Classification
Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning
A Faster Practical Approximation Scheme for the Permanent
Curvature-Invariant Adversarial Attacks for 3D Point Clouds
Qualitative Simulation of Semiconductor Fabrication
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach
Integrating, Execution, Planning, and Learning in Soar for External Environments
A Declarative Approach to Data-Driven Fact Checking
A Compact Representation Scheme for Coalitional Games in Open Anonymous Environments
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
An On-Line Computational Model of Human Sentence Interpretation
Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis
Distant Supervision via Prototype-Based Global Representation Learning
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
A Fast Algorithm to Compute Maximum k -Plexes in Social Network Analysis
Toward Argumentation-Based Cyber Attribution
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, AAAI 96, IAAI 96, Portland, Oregon, USA, August 4-8, 1996, Volume 1
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
Noise and the Common Sense Informatic Situation for a Mobile Robot
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)
Directed Graph Auto-Encoders
X-DMM: Fast and Scalable Model Based Text Clustering
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
An Integer Local Search Method with Application to Capacitated Production Planning
A Monte Carlo Localization Assignment Using a Neato Vacuum with ROS
Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI
A Goal Interaction Graph Planning Framework for Conversational Recommendation
Event Representations for Automated Story Generation with Deep Neural Nets
ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection
Compositional Instance-Based Learning
The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application
Jikan to Kukan: A Hands-On Musical Experience in AI, Games and Art
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
Domain Conditioned Adaptation Network
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding
Lexical Acquisition in the Presence of Noise and Homonymy
MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning
Unsupervised Explanation Generation via Correct Instantiations
Techniques for Generating Optimal, Robust Plans when Temporal Uncertainty is Present
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
Towards an Adaptive Approach for Distributed Resource Allocation in a Multi-agent System for Solving Dynamic Vehicle Routing Problems
Creative Introspection and Knowledge Acquisition
Efficient Support Vector Machine Training Algorithm on GPUs
Dynamic Batch Mode Active Learning via L1 Regularization
Transferable Contextual Bandit for Cross-Domain Recommendation
Know2Vec: A Black-Box Proxy for Neural Network Retrieval
Hierarchical Photo-Scene Encoder for Album Storytelling
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence
Efficient Test-Time Predictor Learning With Group-Based Budget
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction
MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
Robust Global Localization Using Clustered Particle Filtering
A Sequential Set Generation Method for Predicting Set-Valued Outputs
Toward Addressing Human Behavior with Observational Uncertainty in Security Games
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning
Grouping Queries with SV-Semantics in Preference SQL
Quantifyimg and Simulating the Behavior of Knowledge-Based Interpretation Systems
Embedding Uncertain Knowledge Graphs
Relational Learning for Joint Head and Human Detection
Integrating Constraint Satisfaction and Spatial Reasoning
BLUE at Memotion 2.0 2022: You have my Image, my Text and my Transformer
Consistency-Based Diagnosis in Physiological Domains
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition
PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation
Function Sharing in Mechanical Design
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions
Attack-inspired Calibration Loss for Calibrating Crack Recognition
AMR Parsing With Cache Transition Systems
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, PA, USA, August 11-15, 1986. Volume 1: Science
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
Taxonomy of Pathways to Dangerous Artificial Intelligence
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations
Bidirectional Optical Flow NeRF: High Accuracy and High Quality under Fewer Views
An Analysis of Time-Dependent Planning
A Model-Based Approach to Blame Assignment: Revising the Reasoning Steps of Problem Solvers
Active Learning in the Geometric Block Model
The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance
Action Graphs for Goal Recognition Problems with Inaccurate Initial States (Student Abstract)
Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation
Augmented Partial Mutual Learning with Frame Masking for Video Captioning
Hierarchical Attention Flow for Multiple-Choice Reading Comprehension
Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation
Reasoning about the Appropriateness of Proponents for Arguments
SALNet: Semi-supervised Few-Shot Text Classification with Attention-based Lexicon Construction
Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification
Clustering Crowds
Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models
Salience in Orientation-Filter Response Measured as Suspicious Coincidence in Natural Images
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints
Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract)
Industry-Scale Orchestrated Federated Learning for Drug Discovery
Scalable Vision-Language Understanding and Generation
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Online Missing Value Imputation and Change Point Detection with the Gaussian Copula
Graph Coloring with Quantum Heuristics
Partial Domain Search Tree For Constraint-Satisfaction Problems
Deterministic Attention for Sequence-to-Sequence Constituent Parsing
Transfer Assurance for Machine Learning in Autonomous Systems
Computing Game Symmetries and Equilibria That Respect Them
Diagnosis Using Hierarchical Design Models
Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation
Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion
Frame-Based Ontology Alignment
An Emotion-Based Multi-Task Approach to Fake News Detection (Student Abstract)
Wikitop: Using Wikipedia Category Network to Generate Topic Trees
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models
Confidence-Aware Matrix Factorization for Recommender Systems
Regret Bounds for Batched Bandits
Towards Trustworthy Autonomous Systems via Conversations and Explanations
Joshua: Uniform Access to Heterogeneous Knowledge Structures, or why Joshing Is Better than Conniving or Planning
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations
CATS: Cognitive Analytic Trail System
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning
3D Human Pose Lifting with Grid Convolution
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
Training Deep Neural Networks with Virtual Smoothing Classes
A Causal Analysis Method for Concurrent Hybrid Automata
Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation
Fair and Truthful Giveaway Lotteries
A Probabilistic Trust and Reputation Model for Supply Chain Management
From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue
A Bayesian approach to object identification
A Tri-Role Topic Model for Domain-Specific Question Answering
Hybrid Deep Learning Model for Fake News Detection in Social Networks (Student Abstract)
Instance Specific Metric Subspace Learning: A Bayesian Approach
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification
Robust Adversarial Objects against Deep Learning Models
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
Distributed Tree Search and Its Application to Alpha-Beta Pruning
Dynamically Grown Generative Adversarial Networks
Clyde: A Deep Reinforcement Learning DOOM Playing Agent
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
Attacking Data Transforming Learners at Training Time
ARBY: Diagnosis With Shallow Causal Models
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation
Algorithms for Deciding Counting Quantifiers over Unary Predicates
Robust Image Steganography: Hiding Messages in Frequency Coefficients
A* Variants for Optimal Multi-Agent Pathfinding
Social Planning: Achieving Goals by Altering Others' Mental States
Fair Division via the Cake-Cutting Share
Ordered Semantic Hyper Linking
A Formal Systems Approach to Machine Capture, Representation and Use of Activity Context
Curriculum Conditioned Diffusion for Multimodal Recommendation
Complexity Results and Algorithms for Extension Enforcement in Abstract Argumentation
An Ecological Approach to Agent Population Management
Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation
Revisiting Change Captioning from Self-supervised Global-Part Alignment
A Similarity Paradigm Through Textual Regularization Without Forgetting
Making Rational Decisions Using Adaptive Utility Elicitation