yusuke1997/dblp-id-title huggingface dataset:
Security Attacks on LLM-based Code Completion Tools
ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy
ScriptSmith: A Unified LLM Framework for Enhancing IT Operations via Automated Bash Script Generation, Assessment, and Refinement
Spatial-temporal Causal Inference for Partial Image-to-video Adaptation
Empirical Knowledge Representation Generation Using N-Gram Clustering
Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading
Measuring Vegetation Density in Marsh Grass Photographs Using Deep Neural Networks (Student Abstract)
Proposing a New Term Weighting Scheme for Text Categorization
Crowd Counting with Decomposed Uncertainty
Efficient Haplotype Inference with Boolean Satisfiability
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning
Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
Noise, Non-Determinism and Spatial Uncertainty
More Efficient Windowing
Multiple Source Detection without Knowing the Underlying Propagation Model
Integrating Expert Knowledge and Experience
FMRNet: Image Deraining via Frequency Mutual Revision
Action Selection in Bayesian Reinforcement Learning
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Calories Prediction from Food Images
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms
The Law of Choice and the Decision Not to Decide
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Proportionally Fair Makespan Approximation
KnowBias: Detecting Political Polarity in Long Text Content (Student Abstract)
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge
SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
Learning Quality-Aware Representation for Multi-Person Pose Regression
Flexible and Scalable Partially Observable Planning with Linear Translations
Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction
Composite Binary Decomposition Networks
Qualitative Simulation Based on a Logical Formalism of Space and Time
High-Level Goal Recognition in a Wireless LAN
Non-Monotone DR-Submodular Function Maximization
Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data
A Grounded Cognitive Model for Metaphor Acquisition
Dive into Aerial Remote Sensing Underwater Depth Estimation with Hyperspectral Imagery
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
Evaluation and Incident Prevention in an Enterprise AI Assistant
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences
Deformable Part Region Learning for Object Detection
Rethinking the Image Fusion: A Fast Unified Image Fusion Network based on Proportional Maintenance of Gradient and Intensity
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract)
Relation-aware Graph Attention Model with Adaptive Self-adversarial Training
Possible Worlds and the Qualification Problem
RobuTrans: A Robust Transformer-Based Text-to-Speech Model
Discrete Social Recommendation
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation
Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation
Multi-Attribute Transfer via Disentangled Representation
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation
A Reactive Mobile Robot Based on a Formal Theory of Action
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition
Scalable Training of Markov Logic Networks Using Approximate Counting
Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
Expected Utility with Relative Loss Reduction: A Unifying Decision Model for Resolving Four Well-Known Paradoxes
Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans
Associative Memory in an Immune-Based System
Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation
A Federated Learning Monitoring Tool for Self-Driving Car Simulation (Student Abstract)
Automatic Logic-Based Benders Decomposition with MiniZinc
DMML: An XML Language for Interacting with Multi-Modal Dialog Systems
Graph Filtration Kernels
Variational Reasoning for Question Answering With Knowledge Graph
RTP-LX: Can LLMs Evaluate Toxicity in Multilingual Scenarios?
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance
MCHART: A Flexible, Modular Chart Parsing System
VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services
The Achilles' Heel of QBF
SVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers
Capturing User Intent for Information Retrieval
What Is Wrong With Us? Improving Robustness Through Social Diagnosis
Learning to Disambiguate Relative Pronouns
Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification
Integrating Both Visual and Audio Cues for Enhanced Video Caption
Measuring Inconsistency in Knowledge via Quasi-Classical Models
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation
Trace Ratio Criterion for Feature Selection
Using Incomplete Quantitative Knowledge In Qualitative Reasoning
Building Steady-State Simulators via Hierarchical Feedback Decomposition
Weak Strategyproofness in Randomized Social Choice
Managing Quality of Service with Soft Constraints
Inductive Relation Prediction by BERT
Back to Backtracking: Controlling the ATMS
Federated Learning with Sample-level Client Drift Mitigation
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network
Knowledge, Skill, and Behavior Transfer in Autonomous Robots, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 25, 2015
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
Learning from Concept Drifting Data Streams with Unlabeled Data
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion
A Regression Approach for Modeling Games With Many Symmetric Players
A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities
Sub-Selective Quantization for Large-Scale Image Search
SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection
Distant IE by Bootstrapping Using Lists and Document Structure
Case-based Problem Solving with a Large Knowledge Base of Learned Cases
Unsupervised Model Adaptation for Continual Semantic Segmentation
Fairness and Welfare Through Redistribution When Utility Is Transferable
Lifted Stochastic Planning, Belief Propagation and Marginal MAP
Learning User Intent from Action Sequences on Interactive Systems
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network
Artificial Intelligence and Expertise: The Two Faces of the Same Artificial Performance Coin
Conflict-Based Search For Optimal Multi-Agent Path Finding
Using Next Sentence Prediction to Test ChatGPT's Text Comprehension (Student Abstract)
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting
Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation
Scalable Privacy-Compliant Virality Prediction on Twitter
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting
Unsupervised Feature Selection with Structured Graph Optimization
Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow
Real-Time Collaborative Planning with the Crowd
Two Dimensional Generalization in Information Extraction
InspireMe: Learning Sequence Models for Stories
Group Fairness by Probabilistic Modeling with Latent Fair Decisions
Stochastic Filtering in a Probabilistic Action Model
The Activity-Based Computing Project
Importance of Semantic Representation: Dataless Classification
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees
Hybrid Constraint Tightening for Solving Hybrid Scheduling Problems
UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation
When Waiting Is Not an Option: Learning Options With a Deliberation Cost
SIDL: A Real-World Dataset for Restoring Smartphone Images with Dirty Lenses
On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
Verifiable Machine Ethics in Changing Contexts
Parallel Best-First Search: The Role of Abstraction
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning
Interpreting Measurements of Physical Systems
A Four-Valued Semantics for Frame-Based Description Languages
Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues
Revisiting Immediate Duplicate Detection in External Memory Search
ULINK: A Semantics-Driven Approach to Understanding Ungrammatical Input
Towards Interpretation of Pairwise Learning
Performance Evaluation Methods for the Trading Agent Competition
A Circumscriptive Theorem Prover
Talking to UNIX in English: An Overview of UC
Robust Semi-Supervised Learning through Label Aggregation
Early Concept Drift Detection via Prediction Uncertainty
Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network
CrossWalk: Fairness-Enhanced Node Representation Learning
Automated Modelling and Solving in Constraint Programming
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
Porting and Extensible Natural Language Interface: A Case History
Planning from Pixels in Atari with Learned Symbolic Representations
Debiasing Evaluations That Are Biased by Evaluations
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Abstraction in Predictive State Representations
Learning Parametric Models for Social Infectivity in Multi-Dimensional Hawkes Processes
Maximin Fairness with Mixed Divisible and Indivisible Goods
Robust Model Compression Using Deep Hypotheses
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection
Toward Learning to Solve Insertion Tasks: A Developmental Approach Using Exploratory Behaviors and Proprioception
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints
Mamba YOLO: A Simple Baseline for Object Detection with State Space Model
Capability Instruction Tuning
Constraint Equations: A Concise Compilable Representation for Quantified Constraints in Semantic Networks
AURA: Enabling Subject Matter Experts to Construct Declarative Knowledge Bases from Science Textbooks
Representing Genetic Information with Formal Grammars
Interactive Scene Generation via Scene Graphs with Attributes
Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract)
Neural Combinatorial Clustered Bandits for Recommendation Systems
Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data
Self-Supervised Primal-Dual Learning for Constrained Optimization
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss
Shuffled Deep Regression
Learning Robust Options
Graph Based Concept Learning
Authorship Attribution with Topic Drift Model
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification
Human-Driven Spatial Language for Human-Robot Interaction
3D Human Pose Estimation via Explicit Compositional Depth Maps
Building Interpretable Interaction Trees for Deep NLP Models
I Prefer to Eat ..
Centralized versus Personalized Commitments and Their Influence on Cooperation in Group Interactions
ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract)
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation
Bayesian Optimisation for Active Monitoring of Air Pollution
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation
Reasoning about only Knowing with Many Agents
SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression
Learning for Quantified Boolean Logic Satisfiability
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Attributive Reasoning for Hallucination Diagnosis of Large Language Models
Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases
Surpassing Human-Level Face Verification Performance on LFW with GaussianFace
Chance-Constrained Strong Controllability of Temporal Plan Networks with Uncertainty
QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression
Fast Multi-Instance Partial-Label Learning
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
GARGOYLE: An Environment for Real-Time, Context-Sensitive Active Vision
Representation of Control Knowledge in Expert Systems
UTTSExam: A Campus-Wide University Exam-Timetabling System
A Learning-Based Term-Weighting Approach for Information Retrieval
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection
FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations
On Multi-Relational Link Prediction With Bilinear Models
A Theory of Formalisms for Representing Knowledge
A First-Order Interpreter for Knowledge-Based Golog with Sensing based on Exact Progression and Limited Reasoning
Random Projection with Filtering for Nearly Duplicate Search
Problem Formulation for Accommodation Support in Plan-Based Interactive Narratives
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification
Intelligent Systems Demonstration: The Secure Wireless Agent Testbed (SWAT)
Safeguarded Dynamic Label Regression for Noisy Supervision
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
ARMOR Security for Los Angeles International Airport
Self-Learning Algorithms for the Personalised Interaction with People with Dementia
A Probabilistic Framework for Land Deformation Prediction (Student Abstract)
Bayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm
Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract)
Outlier Impact Characterization for Time Series Data
Learning Interpretable Spatial Operations in a Rich 3D Blocks World
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets
Planning by Rewriting: Efficiently Generating High-Quality Plans
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals
Minimizing Disk I/O in Two-Bit Breadth-First Search
Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning
A PAC Framework for Aggregating Agents' Judgments
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems
Diagnosis as Approximate Belief State Enumeration for Probabilistic Concurrent Constraint Automata
Understanding the Generalization Performance of Spectral Clustering Algorithms
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval
PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search
Placing Influencing Agents in a Flock
DE-net: Dynamic Text-Guided Image Editing Adversarial Networks
On Predicting User Intent
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents
Video Summarization via Semantic Attended Networks
Automatic Product Copywriting for E-commerce
The Structure-Mapping Engine
AutoSense Model for Word Sense Induction
Some Variations on Default Logic
Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming
Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction
Large-Neighbourhood Search for Optimisation in Answer-Set Solving
Monitoring the Progress of Anytime Problem-Solving
BERTground: A Transformer-Based Model of Background Spectra on the ISS-Based NICER Space Telescope
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
Learning Operator Transformations
Active Manifold Learning via Gershgorin Circle Guided Sample Selection
CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory
Measuring the Level of Transfer Learning by an AP Physics Problem-Solver
Additive Counterexample-Guided Cartesian Abstraction Refinement
Recognizing Unseen Attribute-Object Pair with Generative Model
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
A Forest from the Trees: Generation through Neighborhoods
KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking
CAPReS: Context Aware Persona Based Recommendation for Shoppers
Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems
Navigation and Planning in a Mixed-Initiative User Interface
Lagrangian Constrained Community Detection
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors
Graph Construction and Analysis as a Paradigm for Plan Recognition
Evaluating Assistance to Individuals with Autism in Reasoning about Mental World
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
MCRNR: Fast Computing of Restricted Nash Responses by Means of Sampling
Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin
Spectral Clustering in Heterogeneous Information Networks
A Travel-Time Optimizing Edge Weighting Scheme for Dynamic Re-Planning
Joint Extraction of Entities and Overlapping Relations Using Position-Attentive Sequence Labeling
Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis
Novelty Detection for Multispectral Images with Application to Planetary Exploration
LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation
Multi-Adversarial Domain Adaptation
Generative Model for Decision Trees
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
Causal Inference with Conditional Instruments Using Deep Generative Models
K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management
Learning Deep Convolutional Neural Networks for X-Ray Protein Crystallization Image Analysis
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
KI: A Tool for Knowledge Integration
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity
Invited Talk: What's Practical When in Natural Language Applications
A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem
A Statistical Technique for Recovering Surface Orientation from Texture in Natural Imagery
Speech Is Not Enough: Interpreting Nonverbal Indicators of Common Knowledge and Engagement
Localizing Natural Language in Videos
Strategic Advice Provision in Repeated Human-Agent Interactions
Do Transformer Interpretability Methods Transfer to RNNs?
Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model
MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement
Sketch Recognition Based on Manifold Learning
Phrase-Based Presentation Slides Generation for Academic Papers
New Compilation Languages Based on Restricted Weak Decomposability
Channel Regeneration: Improving Channel Utilization for Compact DNNs
Planning for Learning Object Properties
Proportionality in Approval-Based Participatory Budgeting
Exercise-Enhanced Sequential Modeling for Student Performance Prediction
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
Simultaneous Feature and Sample Reduction for Image-Set Classification
Beyond Low-frequency Information in Graph Convolutional Networks
Intention-Based Diagnosis of Programming Errors
Neural Graph Embedding for Neural Architecture Search
Deep Semi-Random Features for Nonlinear Function Approximation
Gradient Corner Pooling for Keypoint-Based Object Detection
Learning Fault-Tolerant Speech Parsing with SCREEN
Verification of Neural Networks Against Convolutional Perturbations via Parameterised Kernels
An Investigation into Computational Recognition of Children's Jokes
Improved Regret Bounds for Online Fair Division with Bandit Learning
Action-Based Alternating Transition Systems for Arguments about Action
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
Decision-Theoretic User Interface Generation
Generalized Dual Decomposition for Bounding Maximum Expected Utility of Influence Diagrams with Perfect Recall
Lazy Decision Trees
A Deep Generative Framework for Paraphrase Generation
Highest Utility First Search Across Multiple Levels of Stochastic Design