yusuke1997/dblp-id-title huggingface dataset:
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Scalable Agent Modeling for Large Multiagent Systems
Efficient Solving of Birds of a Feather Puzzles
Bidirectional Chart Generation of Natural Language Texts
Dictionary Learning in Optimal Metric Space
An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract)
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution
Unsupervised Co-Activity Detection from Multiple Videos Using Absorbing Markov Chain
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation
Concept-Based Approach to Word-Sense Disambiguation
Structured and Sparse Annotations for Image Emotion Distribution Learning
Cross-Domain Collaborative Normalization via Structural Knowledge
Identifiability of Linear AMP Chain Graph Models
Theta*: Any-Angle Path Planning on Grids
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind
asprin: Customizing Answer Set Preferences without a Headache
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
Improving Neural Relation Extraction with Positive and Unlabeled Learning
Adaptable Regression Method for Ensemble Consensus Forecasting
TSQA: Tabular Scenario Based Question Answering
Towards Building ASR Systems for the Next Billion Users
Counting Models using Extension Rules
M2ICAL Analyses HC-Gammon
Agent-Human Coordination with Communication Costs Under Uncertainty
Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation
Generating CCG Categories
Deep Metric Learning with Graph Consistency
A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation
Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning
Multi-task Learning by Leveraging the Semantic Information
Structural Learning with Amortized Inference
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder
Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement
Communication Accommodation Between Large Language Models and Users Across Cultures (Student Abstract)
Properties of Forward Pruning in Game-Tree Search
Multi-Agent Game Abstraction via Graph Attention Neural Network
Age Progression and Regression with Spatial Attention Modules
Compact Multi-Label Learning
Is Algorithm Selection Worth It? Comparing Selecting Single Algorithms and Parallel Execution
Tractable Tree Convex Constraint Networks
Lazy Arc Consistency
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations
Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation
Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks
Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract)
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
Attention-over-Attention Field-Aware Factorization Machine
Indexable Probabilistic Matrix Factorization for Maximum Inner Product Search
A Leukocyte Detection Technique in Blood Smear Images Using Plant Growth Simulation Algorithm
Sequence Level Contrastive Learning for Text Summarization
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction
Deep Embedding for Determining the Number of Clusters
MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract)
N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding
Cross-Species 3D Face Morphing via Alignment-Aware Controller
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis
Modeling Textual Cohesion for Event Extraction
A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models
Semantic Inference of Bird Songs Using Dynamic Bayesian Networks
A Statistical Method for Handling Unknown Words
Bayesian Inference with Complex Knowledge Graph Evidence
PUBLICSPEAK: Hearing the Public with a Probabilistic Framework
Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery
Integrating Task and Motion Planning Using Semantic Attachments
Fast Discovery of Simple Rules
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
Playing SNES Games With NeuroEvolution of Augmenting Topologies
Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems
Identifying Private Content for Online Image Sharing
AI and Parallelism in CS1: Experiences and Analysis
Adversary Is the Best Teacher: Towards Extremely Compact Neural Networks
MedEthEx: A Prototype Medical Ethics Advisor
The Complexity of Object Association in Multiple Object Tracking
Bounds on Causal Effects and Application to High Dimensional Data
Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning
HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers
Sampling-Resilient Multi-Object Tracking
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores
Fast Generalized Distillation for Semi-Supervised Domain Adaptation
Tutorial Response Generation in a Writing Tool for Deaf Learners of English
Reduced-Rank Linear Dynamical Systems
Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization
Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study
Multiagent Coalition Formation for Computer-Supported Cooperative Learning
TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from Text-to-Speech Synthesis
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
Rolling Horizon Based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows
Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies
Universal Adversarial Training
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions
Knowledge Management: A Practical Amalgam of Knowledge and Data Base Technology
Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification
Partial Multi-View Outlier Detection Based on Collective Learning
Approximate Query Answering in Locally Closed Databases
Explicit Visual Prompts for Visual Object Tracking
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors
Using Elimination Methods to Compute Thermophysical Algebraic Invariants from Infrared Imagery
Learning Event-Relevant Factors for Video Anomaly Detection
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract)
Abstraction for Solving Large Incomplete-Information Games
DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
Is It Morally Acceptable for a System to Lie to Persuade Me?
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
Simulating Network Paths with Recurrent Buffering Units
Fairness in Influence Maximization through Randomization
A Restriction of Extended Resolution for Clause Learning SAT Solvers
Transfer Learning in Collaborative Filtering with Uncertain Ratings
Learning from Graph Neighborhoods Using LSTMs
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points
Implicit Argument Prediction as Reading Comprehension
Lagrangian Decomposition Algorithm for Allocating Marketing Channels
An Integration of Resolution and Natural Deduction Theorem Proving
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
Improving Similarity Measures for Short Segments of Text
Multi-Turn Jailbreaking Large Language Models via Attention Shifting
Dynamic Prioritization of Complex Agents in Distributed Constraint Satisfaction Problems
Progression of Decomposed Situation Calculus Theories
Variational Autoencoder with Implicit Optimal Priors
Toward the Essential Nature of Statistical Knowledge in Sense Resolution
Solving Advanced Reasoning Tasks Using Quantified Boolean Formulas
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations
Active Bayesian Assessment of Black-Box Classifiers
Short Text Representation for Detecting Churn in Microblogs
Going Beyond Literal Command-Based Instructions: Extending Robotic Natural Language Interaction Capabilities
FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos
Explicit-State Abstraction: A New Method for Generating Heuristic Functions
Using Eye-Tracking Data for High-Level User Modeling in Adaptive Interfaces
An Integrated Robotic System for Spatial Understanding and Situated Interaction in Indoor Environments
Coalitional Structure Generation in Skill Games
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy
An Information Theoretic Framework for Continual Learning of Causal Networks
Incentive-Compatible Escrow Mechanisms
Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation
Learning to Learn Better Visual Prompts
Stochastic Goal Recognition Design Problems with Suboptimal Agents
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
Scalable Hierarchical Deep Neural Network for Time Series Analysis in Wearable Sensor-based Human Activity Recognition
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking
Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-identification
Machine-Created Universal Language for Cross-Lingual Transfer
Content Recommendation for Attention Management in Unified Social Messaging
Relating Children's Automatically Detected Facial Expressions to Their Behavior in RoboTutor
Boosting SBDS for Partial Symmetry Breaking in Constraint Programming
A Blackboard-based Dynamic Instructional Planner
Online Prompt Selection for Program Synthesis
Automated Strategies for Determining Rewards for Human Work
Crowdsourcing for Multiple-Choice Question Answering
SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine
Resolving Goal Conflicts via Negotiation
Exploiting the Architecture of Dynamic Systems
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network
USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network
StarSpace: Embed All The Things!
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
Attribute Inference Attacks for Federated Regression Tasks
Multi-View Clustering on Topological Manifold
Recommendation by Mining Multiple User Behaviors with Group Sparsity
Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment
Point-Based Policy Iteration
Indoor Trajectory Identification: Snapping with Uncertainty
ContraFeat: Contrasting Deep Features for Semantic Discovery
Attention Guided Imitation Learning and Reinforcement Learning
Integrating Environmental Data, Citizen Science and Personalized Predictive Modeling to Support Public Health in Cities: The PULSE WebGIS
Active Generative Adversarial Network for Image Classification
Active Learning with Committees for Text Categorization
Sublinear Time Numerical Linear Algebra for Structured Matrices
Witty: An Efficient Solver for Computing Minimum-Size Decision Trees
Leveraging Multi-Token Entities in Document-Level Named Entity Recognition
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract)
Learning Unknown Event Models
IFDDS: An Anti-fraud Outbound Robot
Temporal Adaptive RGBT Tracking with Modality Prompt
An Expert System for Alarm System Planning
Modeling Human Behavior for Virtual Training Systems
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction
Data Analytic Policy Design Applied to Energy Conservation in College Dormitories
Advancing Audio-Based Text Generation with Imbalance Preference Optimization
Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-resolution
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification
Splitting a Logic Program Revisited
Smoothing Advantage Learning
An Alternating Proximal Splitting Method with Global Convergence for Nonconvex Structured Sparsity Optimization
DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction
Towards Balanced Defect Prediction with Better Information Propagation
JYAG & IDEY: A Template-Based Generator and Its Authoring Tool
Selective Sampling with Redundant Views
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
Expected Policy Gradients
Building on Deep Learning
C2L: Causally Contrastive Learning for Robust Text Classification
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition
Asynchronous Multi-Robot Patrolling against Intrusions in Arbitrary Topologies
Learnability in Inductive Logic Programrning: Some Basic Results and Techniques
Meta-Learning on Graph with Curvature-Based Analysis (Student Abstract)
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks
Semi-supervised Learning with Multi-Head Co-Training
DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments
Personalized Clustering via Targeted Representation Learning
Generalized Point Based Value Iteration for Interactive POMDPs
Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection
NEO: A System for Identifying New Emerging Occupation from Job Ads
Conceptual Reinforcement Learning for Language-Conditioned Tasks
Text Revision By On-the-Fly Representation Optimization
Compressed Self-Attention for Deep Metric Learning
Generating Distractors for Reading Comprehension Questions from Real Examinations
Representing Sets of Instances for Visual Recognition
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models
Envisioning AI for K-12: What Should Every Child Know about AI?
Troubleshooting: When Modeling Is the Trouble
Real-Time Predictive Optimization for Energy Management in a Hybrid Electric Vehicle
CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding
A New Clause Learning Scheme for Efficient Unsatisfiability Proofs
EMPLACE: Self-Supervised Urban Scene Change Detection
Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network Watermarking
Recent Developments in Butterfly™ Lisp
Gaussian Process Priors for View-Aware Inference
Research on Expert Problem Solving in Physics
Identifying Search Keywords for Finding Relevant Social Media Posts
RPA: Reasoning Path Augmentation in Iterative Retrieving for Multi-Hop QA
FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation
Knowledge Compilation Properties of Tree-of-BDDs
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems
Approximating Full Conformal Prediction at Scale via Influence Functions
A Counter Abstraction Technique for the Verification of Robot Swarms
Restorable Image Operators with Quasi-Invertible Networks
The Sounds of Silence: Towards Automated Evaluation of Student Learning in a Reading Tutor that Listens
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
Abstraction, Reformulation, and Approximation, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 12, 2010
Choosing the Initial State for Online Replanning
An Analysis of Forward Pruning
Computationally Feasible Automated Mechanism Design: General Approach and Case Studies
Predicting Structural and Functional Sites in Proteins by Searching for Maximum-weight Cliques
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale
Correcting Large Language Model Behavior via Influence Function
Vote Elicitation: Complexity and Strategy-Proofness
Correlation Field for Boosting 3D Object Detection in Structured Scenes
GSSNN: Graph Smoothing Splines Neural Networks
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification
Investigating and Mitigating Undesirable Biases in Large Language Models
Graph Representation Learning via Ladder Gamma Variational Autoencoders
Matrix Variate Gaussian Mixture Distribution Steered Robust Metric Learning
Budgeted Prediction with Expert Advice
To Share or Not to Share? The Single Agent in a Team Decision Problem
Automatic Public State Space Abstraction in Imperfect Information Games
Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing
Does It Pay to Optimize AUC?
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning
Resource Constrained Distributed Constraint Optimization with Virtual Variables
Semi-Supervised Metric Learning: A Deep Resurrection
Collective Construction Using Lego Robots
Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract)
Mixed-Initiative Reasoning for Integrated Domain Modeling, Learning and Problem Solving
Predicting Links and Their Building Time: A Path-Based Approach
Intensity-Based Edge Classification
Learning from Noisy Labels with Complementary Loss Functions
HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract)
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning
Coarse-to-Fine Generative Modeling for Graphic Layouts
Lower Dimensional Representations of City Neighbourhoods
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
Inter-Layer Learning Towards Emergent Cooperative Behavior
Fast Convention Formation in Dynamic Networks Using Topological Knowledge
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract)
Decision-Theoretic, High-Level Agent Programming in the Situation Calculus
LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding
CodeStylist: A System for Performing Code Style Transfer Using Neural Networks
Cross-Lingual Adversarial Domain Adaptation for Novice Programming
Incrementally Learning the Hierarchical Softmax Function for Neural Language Models
YODA: The Young Observant Discovery Agent
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning
Learning Robust and Privacy-Preserving Representations via Information Theory
Generation of Emotional Behavior for Non-Player Characters - Development of EmoBot for Quake II
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
Comparison of Second-order Polynomial Model Selection Methods: an Experimental Survey
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination
Holistic Multi-View Building Analysis in the Wild with Projection Pooling
Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract)
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms
Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense
Order-Free RNN With Visual Attention for Multi-Label Classification
Localizing A *
IoH-RCNN: Pursue the Ingredients of Happiness using Recurrent Convolutional Neural Networks
An Equivalence between Wagering and Fair-Division Mechanisms
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
On Inference Stability for Diffusion Models
Rebalancing Multi-Label Class-Incremental Learning
Underwater Experiments Using a Reactive System for Autonomous Vehicles
Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use
Discriminative Analysis Dictionary Learning
Conversational Model Adaptation via KL Divergence Regularization
An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation
Campaign Management under Approval-Driven Voting Rules
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
Prompting Multi-Modal Image Segmentation with Semantic Grouping
ADEPT: A DEbiasing PrompT Framework
Which Search Problems Are Random?
Adversarial Zero-shot Learning With Semantic Augmentation
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections
Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective
Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection
Chronic Poisoning: Backdoor Attack against Split Learning
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers
Manipulation of Nanson's and Baldwin's Rules
ParkUs: A Novel Vehicle Parking Detection System
Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication
The Modal Logic S4F, the Default Logic, and the Logic Here-and-There
Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation
Learning User-Specific Latent Influence and Susceptibility from Information Cascades
tBurton: A Divide and Conquer Temporal Planner
Active Learning with Near Misses
Solo: A Cognitive Orthosis
Spherical Image Generation from a Single Image by Considering Scene Symmetry
Agent Incentives: A Causal Perspective
Ontology Instance Linking: Towards Interlinked Knowledge Graphs
Temporal Logics Over Finite Traces with Uncertainty
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
Demystifying Algorithmic Fairness in an Uncertain World
Using Iterated Best-Response to Find Bayes-Nash Equilibria in Auctions
Heterogeneous Metric Learning with Joint Graph Regularization for Cross-Media Retrieval
Factored Online Planning in Many-Agent POMDPs
Distributed Representation of Words in Cause and Effect Spaces
ACAT-G: An Interactive Learning Framework for Assisted Response Generation