yusuke1997/dblp-id-title huggingface dataset:
Influence Maximization with Novelty Decay in Social Networks
Brown ROS Package: Reproducibility for Shared Experimentation and Learning from Demonstration
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization
Graph Neural Networks with Heterophily
Approximation-Variance Tradeoffs in Facility Location Games
A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning
Increasing Nogoods in Restart-Based Search
Representing Words as Lymphocytes
A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network
Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding
A Computer Model of Child Language Learning
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics
Efficient Haplotype Inference with Answer Set Programming
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
Continual Learning by Using Information of Each Class Holistically
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems
Closing the Loop for Edge Detection and Object Proposals
AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search
Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking
Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching
LUCID: Exposing Algorithmic Bias through Inverse Design
Robust Visual Robot Localization Across Seasons Using Network Flows
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery
Improving GAN with Neighbors Embedding and Gradient Matching
Adaptive Graph Convolutional Neural Networks
Scalable Classifiers with ADMM and Transpose Reduction
Memory-Efficient A* Heuristics for Multiple Sequence Alignment
Deeper Clinical Document Understanding using Relation Extraction
Adversarial Attack on Deep Product Quantization Network for Image Retrieval
A Rule-Based System for Document Understanding
Collaborative Sampling in Generative Adversarial Networks
Text to Point Cloud Localization with Relation-Enhanced Transformer
Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes
Using Semantics to Identify Web Objects
Branching on Attribute Values in Decision Tree Generation
Class-Incremental Instance Segmentation via Multi-Teacher Networks
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling
Robust Stochastic Graph Generator for Counterfactual Explanations
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract)
Object-Sorting-by-Color in a Variety of Lighting Conditions Using Neural Networks and Lego Mindstorms Robot
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling
Recovering Software Specifications with Inductive Logic Programming
SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations
FoldToken: Learning Protein Language via Vector Quantization and Beyond
Integrating Natural Language Processing and Knowledge Based Processing
Song Search and Retrieval by Tapping
Simple Orthogonal Graph Representation Learning (Student Abstract)
Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners
Progressive Deep Multi-View Comprehensive Representation Learning
NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation
Diagnosis of Multi-Robot Coordination Failures Using Distributed CSP Algorithms
Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection
Face Video Retrieval via Deep Learning of Binary Hash Representations
SVRMamba: Slice-to-Volume Reconstruction from Multiple MRI Stacks with Slice Sequence Guided Mamba
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior
Say Anything with Any Style
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint
Trust-Sensitive Evolution of DL-Lite Knowledge Bases
Multi-View Empowered Structural Graph Wordification for Language Models
Labor Allocation in Paid Crowdsourcing: Experimental Evidence on Positioning, Nudges and Prices
Scaling Up Word Sense Disambiguation via Parallel Texts
Options of Interest: Temporal Abstraction with Interest Functions
Real-Time Classification of Electromyographic Signals for Robotic Control
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network
Incremental Algorithms for Approximate Compilation
Truly Parallel Understanding of Text
Canonical Correlation Inference for Mapping Abstract Scenes to Text
From Exact to Anytime Solutions for Marginal MAP
Efficient Reinforcement Learning in Probabilistic Reward Machines
A Qualitative-Quantitative Methods-Based e-Learning Support System in Economic Education
Towards Verifiable Text Generation with Generative Agent
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning
Programmatic Strategies for Real-Time Strategy Games
WildfireNet: Predicting Wildfire Profiles (Student Abstract)
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach
AutoEncoder by Forest
The Computational Complexity of Weighted Greedy Matching
A Framework for Modeling Influence, Opinions and Structure in Social Media
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Markov Blanket Feature Selection for Support Vector Machines
Active Discriminative Text Representation Learning
Symbolic Reasoning Methods for AI Planning
A Parallel Resolution Procedure Based on Connection Graph
EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
Socially Intelligent Affective AI
Mechanisms for Partial Information Elicitation: The Truth, but Not the Whole Truth
Biomedical Image Segmentation via Representative Annotation
Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration
Weakly Supervised Multimodal Affordance Grounding for Egocentric Images
Deep Hypergraph Neural Networks with Tight Framelets
mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design
A Consistency-Based Model for Belief Change: Preliminary Report
Focusing on the Most Important Explanations: Decision-Theoretic Horn Abduction
UCO: A Unified Cybersecurity Ontology
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning
Real-Time Full-Text Clustering of Networked Documents
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption
A Connectionist Parser with Recursive Sentence Structure and Lexical Disambiguation
How Machine Learning is Improving U.S. Navy Customer Support
A Game-Theoretic Approach for Alert Prioritization
Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning
Bidirectional Contrastive Split Learning for Visual Question Answering
Adaptive Web Sites: Automatically Synthesizing Web Pages
DRF: Improving Certified Robustness via Distributional Robustness Framework
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
Ontology Integration in XML
Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion
GRIN: A Graph Based RDF Index
L-CoDe: Language-Based Colorization Using Color-Object Decoupled Conditions
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing
Recovery from Incorrect knowledge in Soar
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation
Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract)
Block-Based Multi-Scale Image Rescaling
An Expert System for Danish Traffic Law Cases (Student Abstract)
Efficient Deep Image Denoising via Class Specific Convolution
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
Width & Depth Pruning for Vision Transformers
Using Signals of Human Interest to Enhance Single-document Summarization
IRMamba: Pixel Difference Mamba with Layer Restoration for Infrared Small Target Detection
Computing an Extensive-Form Perfect Equilibrium in Two-Player Games
Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams
Counting Linear Extensions in Practice: MCMC Versus Exponential Monte Carlo
Graph-Sparse LDA: A Topic Model with Structured Sparsity
Discovering Human and Machine Readable Descriptions of Malware Families
Computing Shapley Values, Manipulating Value Division Schemes, and Checking Core Membership in Multi-Issue Domains
A Modal Logic of Optimality (Student Abstract)
FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract)
Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition
Market Manipulation with Outside Incentives
Question Decomposition Tree for Answering Complex Questions over Knowledge Bases
On Power-Law Kernels, Corresponding Reproducing Kernel Hilbert Space and Applications
QuOnto: Querying Ontologies
Single-Agent Dynamics in Additively Separable Hedonic Games
Regression testing for wrapper maintenance
Using Model-Based Diagnosis to Improve Software Testing
Qualitative Dimensions in Question Answering: Extending the Definitional QA Task
Lyapunov-Stable Deep Equilibrium Models
Yet at Factify 2022 : Unimodal and Bimodal RoBERTa-based models for Fact Checking (short paper)
A New Approach to Estimating the Expected First Hitting Time of Evolutionary Algorithms
LIREx: Augmenting Language Inference with Relevant Explanations
Domain-Independent Optimistic Initialization for Reinforcement Learning
VIXEN: Visual Text Comparison Network for Image Difference Captioning
A Phrase-Based Method for Hierarchical Clustering of Web Snippets
Systematic Nonlinear Planning
Is a Large Language Model a Good Annotator for Event Extraction?
Regret-Based Multi-Agent Coordination with Uncertain Task Rewards
Cross-Domain Visual Representations via Unsupervised Graph Alignment
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
Relative Variational Intrinsic Control
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
Generalized Variational Inference via Optimal Transport
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
Scaling Up Game Theory: Achievable Set Methods for Efficiently Solving Stochastic Games of Complete and Incomplete Information
Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers
IA-GM: A Deep Bidirectional Learning Method for Graph Matching
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples
Extracting Ontological Selectional Preferences for Non-Pertainym Adjectives from the Google Corpus
DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning
Counting-MLNs: Learning Relational Structure for Decision Making
Towards Model-Based Diagnosis of Coordination Failures
Label Distribution Learning by Optimal Transport
Exploiting Locality in a TMS
Batchwise Patching of Classifiers
Contextual Structure Knowledge Transfer for Graph Neural Networks
Boundary Graph Neural Networks for 3D Simulations
Lobokhod: The University of New Mexico's Robotic Mars Rover
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
Approximate Compilation for Embedded Model-based Reasoning
Explanations for Multi-Agent Reinforcement Learning
Formalizing Narratives Using Nested Circumscription
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss
Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving
Identifying Words to Explain to a Reader: A Preliminary Study
Toward Physically Realizable Quantum Neural Networks
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
Learning Simulation Control in General Game-Playing Agents
Knowledge Refinery: Learning from Decoupled Label
A Summer Research Experience in Robotics
A Fair Incentive Scheme for Community Health Workers
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
Adaptive Cross-Modal Embeddings for Image-Text Alignment
FaceController: Controllable Attribute Editing for Face in the Wild
FRAME Revisited: An Interpretation View Based on Particle Evolution
Person Identification Using Anthropometric and Gait Data from Kinect Sensor
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces
V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer
Suppressing Uncertainty in Gaze Estimation
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
Reinforcement Learning with Perturbed Rewards
Enhancing ASP by Functions: Decidable Classes and Implementation Techniques
Transformer-Based Selective Super-resolution for Efficient Image Refinement
Anyone but Him: The Complexity of Precluding an Alternative
A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection
Changing the Rules: A Comprehensive Approach to Theory Refinement
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
Automated Discovery in a Chemistry Laboratory
Optimizing and Learning Diffusion Behaviors in Complex Network
Analyzing Compositionality-Sensitivity of NLI Models
Deep Modeling Complex Couplings within Financial Markets
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting
Evaluation of GAN Architectures for Adversarial Robustness of Convolution Classifier
Principle Component Trees and Their Persistent Homology
A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting
Deep Attentive Model for Knowledge Tracing
Bounding Uncertainty for Active Batch Selection
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
Scaling-Up MAP and Marginal MAP Inference in Markov Logic
Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation
PetsGAN: Rethinking Priors for Single Image Generation
Beyond Exploratory Programming: A Methodology and Environment for Conceptual Natural Language Processing
GenEth: A General Ethical Dilemma Analyzer
Explaining the Uncertainty in AI-Assisted Decision Making
Differentiable Auxiliary Learning for Sketch Re-Identification
The Most Uncreative Examinee: A First Step toward Wide Coverage Natural Language Math Problem Solving
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract)
TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits
Spectral Clustering with Brainstorming Process for Multi-View Data
Stochastic Procedures for Generating Feasible Schedules
TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
eTREE: Learning Tree-structured Embeddings
Experiments in UNIX Command Prediction
IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation
Calibrated Teacher for Sparsely Annotated Object Detection
Pac-Learning a Restricted Class of Recursive Logic Programs
Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
Parameterised Resource-Bounded ATL
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint
Teamwork and Coordination under Model Uncertainty in DEC-POMDPs
Improving Image Captioning with Conditional Generative Adversarial Nets
Relaxing and Restraining Queries for OBDA
Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach
United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus
Spotting Subsequences Matching an HMM Using the Average Observation Probability Criteria with Application to Keyword Spotting
Graph Structure Learning on User Mobility Data for Social Relationship Inference
Few-Shot One-Class Classification via Meta-Learning
QAGait: Revisit Gait Recognition from a Quality Perspective
Closing the Loop between Motion Planning and Task Execution Using Real-Time GPU-Based Planners
Deep Manifold Attack on Point Clouds via Parameter Plane Stretching
Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains
Parametrized Families of Hard Planning Problems from Phase Transitions
Continual On-Line Planning
Liquid Democracy with Ranked Delegations
Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering
Unsupervised Deep Learning for Optical Flow Estimation
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling
Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery
Jointly Imputing Multi-View Data with Optimal Transport
Stage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model
Range Estimation From Focus Using a Non-frontal Imaging Camera
Polly: A Vision-Based Artificial Agent
Adversarial Robustness through Disentangled Representations
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation
Low-cost Outdoor Robot Platform for the Penn State Abington Mini Grand Challenge
Hierarchical Planning in the Now
Towards Efficient Sampling: Exploiting Random Walk Strategies
CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition
CoP: Factual Inconsistency Detection by Controlling the Preference
Algorithms for a Temporal Decoupling Problem in Multi-Agent Planning
Contrastive Classification and Representation Learning with Probabilistic Interpretation
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning
The Surveillance Window Application (SWAP): A Web-Hosted Tool to Facilitate Situational Awareness during Outbreaks
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
PosterBot: A System for Generating Posters of Scientific Papers with Neural Models
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages
Temporal Network Embedding with High-Order Nonlinear Information
HyperAdam: A Learnable Task-Adaptive Adam for Network Training
Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
What's in a User?
Multiple Kernel k -Means Clustering with Matrix-Induced Regularization
Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks
Detecting and Tracking Concept Class Drift and Emergence in Non-Stationary Fast Data Streams
Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network
Causal Default Reasoning: Principles and Algorithms
Telemade: A Testing Framework for Learning-Based Malware Detection Systems
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
Cross-Modal Match for Language Conditioned 3D Object Grounding
Transfer Reinforcement Learning Using Output-Gated Working Memory
Now We're Talking: Better Deliberation Groups through Submodular Optimization
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity
Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning
Robust Multi-View Representation Learning (Student Abstract)
An Information-Theoretic Framework for Unifying Active Learning Problems
Between Frustration and Elation: Sense of Control Regulates the lntrinsic Motivation for Motor Learning
Fast and Accurate Refined Nyström-Based Kernel SVM
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Perceptually Based Learning of Shape Descriptions for Sketch Recognition
Multi-Facet Network Embedding: Beyond the General Solution of Detection and Representation
ROAR: Robust Label Ranking for Social Emotion Mining
Quick Polytope Approximation of All Correlated Equilibria in Stochastic Games
Real-Time Neural Denoising with Render-Aware Knowledge Distillation
Adding Default Attributes to EL++
Knowledge-Based Validity Maintenance for Production Systems
Generative Adaptive Convolutions for Real-World Noisy Image Denoising
Power, Dependence and Stability in Multiagent Plans
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering
End-to-End Argumentation Knowledge Graph Construction
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification
Planar Prior Assisted PatchMatch Multi-View Stereo
Stepdown SLOPE for Controlled Feature Selection
Local Justice and the Algorithmic Allocation of Scarce Societal Resources
Intelligent Control Using Integrity Constraints
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling
Knowledge Graph Embedding by Normalizing Flows
Corpus-Based Induction of Lexical Representation and Meaning
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution
Attacking Video Recognition Models with Bullet-Screen Comments
Neural Causal Abstractions
Multi-Component Graph Convolutional Collaborative Filtering
Toward an Architecture for Never-Ending Language Learning
Direct Amortized Likelihood Ratio Estimation
Kernel-convoluted Deep Neural Networks with Data Augmentation
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning
Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract)
Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract)
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
State Encodings for GNN-Based Lifted Planners
Causally Consistent Normalizing Flow