yusuke1997/dblp-id-title huggingface dataset:
Optimal Decoupling in Linear Constraint Systems
ITS: An Efficient Limited-Memory Heuristic Tree Search Algorithm
Zero-Knowledge Proofs for Classical Planning Problems
Increasing the Action Gap: New Operators for Reinforcement Learning
Predicting the Performance of Distributed Knowledge-Based Systems: A Modeling Approach
Temporal Action Proposal Generation with Background Constraint
On Maxsum Fair Cake Divisions
Weighted Oblique Decision Trees
Temporal-Distributed Backdoor Attack against Video Based Action Recognition
Unsupervised Sentiment Analysis with Signed Social Networks
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
Implementing the Maximum of Monotone Algorithms
On the Subexponential Time Complexity of CSP
Corpus-Level End-to-End Exploration for Interactive Systems
Multi-Agent Coordination under Uncertain Communication
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Transformer with Memory Replay
PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm
Subassembly Stability
Character-Aware Neural Language Models
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments
Unsupervised Temporal Video Grounding with Deep Semantic Clustering
Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning
What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning
Partial MUS Enumeration
How to Use the Metropolis Algorithm for Multi-Objective Optimization?
Emulating the Consistency of Human Behavior with an Autonomous Robot in a Market Scenario
A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft
Reinforced Multi-Teacher Selection for Knowledge Distillation
That and There: Judging the Intent of Pointing Actions with Robotic Arms
Budget-Constrained Multi-Armed Bandits With Multiple Plays
Empirical Comparisons of Some Design Replay Algorithms
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Nonmonotonicity and the Scope of Reasoning: Preliminary Report
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Efficiently Combining Human Demonstrations and Interventions for Safe Training of Autonomous Systems in Real-Time
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence
Learning Arithmetic Problem Solver
Listening to the World Improves Speech Command Recognition
What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult
PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation
Cross-Domain Ranking via Latent Space Learning
Latent Tree Analysis
Artificial Attention at Scale
Plug-In Diffusion Model for Sequential Recommendation
LLM-Powered Synthetic Environments for Self-Driving Scenarios
Providing Fair Recourse over Plausible Groups
Aligning Large Language Models for Faithful Integrity Against Opposing Argument
Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption
Repeated Fair Allocation of Indivisible Items
Improve Web Search Using Image Snippets
Micronutrient Deficiency Prediction via Publicly Available Satellite Data
Efficient Statistical Methods for Evaluating Trading Agent Performance
Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference
Unsupervised Morphological Segmentation for Detecting Parkinson's Disease
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types
Effective Broad-Coverage Deep Parsing
Linear Bandits with Feature Feedback
Robots Learning Through Physical Interactive Intelligence
Active Transfer Learning for Cross-System Recommendation
A Hybrid Evolutionary Algorithm for the Diversified Top-k Weight Clique Search Problem (Student Abstract)
Exploring the Better Multimodal Synergy Strategy for Vision-Language Models
Argumentative Large Language Models for Explainable and Contestable Claim Verification
Forgetting in Modular Answer Set Programming
Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract)
Prime Implicates and Prime Implicants in Modal Logic
Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage
Feature Unlearning for Pre-trained GANs and VAEs
Can Go AIs Be Adversarially Robust?
A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
Approximate Reasoning Systems: A Personal Perspective
Factorization Bandits for Interactive Recommendation
Online Submodular Maximization via Online Convex Optimization
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map Based Feature Extraction for Human Action Recognition
From Hashing to CNNs: Training Binary Weight Networks via Hashing
Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract)
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
Multi-Step Time Series Generator for Molecular Dynamics
A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search
Foundations of Reactive Synthesis for Declarative Process Specifications
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
Eliciting Honest Information from Authors Using Sequential Review
Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks
Learning and Inference for Hierarchically Split PCFGs
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
Episodic Learning
Graph Component Contrastive Learning for Concept Relatedness Estimation
Teaching Humans When to Defer to a Classifier via Exemplars
Computing Circumscriptive Databases by Integer Programming: Revisited
Initial State Prediction in Planning
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise
A Multiple Representation Approach to Understanding the Time Behavior of Digital Circuits
Generating Random Solutions for Constraint Satisfaction Problems
CoLAL: Co-learning Active Learning for Text Classification
Natural Temporal Difference Learning
Unit Selection with Nonbinary Treatment and Effect
SReN: Shape Regression Network for Comic Storyboard Extraction
Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier
A Computational Analysis of the Tournament Equilibrium Set
Fine-Grained Entity Recognition
Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
Attentive RNNs for Continuous-time Emotion Prediction in Music Clips
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
Zero-Shot Aerial Object Detection with Visual Description Regularization
Quantifying the Importance of Latent Features in Neural Networks
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis
Swap Stability in Schelling Games on Graphs
Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution
Run-Time Prediction for Production Systems
A Fuzzy Description Logic
QueryProp: Object Query Propagation for High-Performance Video Object Detection
Zera-Shot Sentiment Analysis for Code-Mixed Data
IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork
Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training
User-Oriented Robust Reinforcement Learning
The Effect of Preferences in Abstract Argumentation under a Claim-Centric View
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
Sequential Inductive Learning
Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
KAMEL: Knowledge Aware Medical Entity Linkage to Automate Health Insurance Claims Processing
Coordinating Momenta for Cross-Silo Federated Learning
Mediation Analysis for Probabilities of Causation
Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models
Building Up Rhetorical Structure Trees
Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering
FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning
A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract)
Partners in Crime: Manipulating the Deferred Acceptance Algorithm through an Accomplice
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract)
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information
To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer
On Action Theories with Iterable First-Order Progression
Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model
A Semantical Analysis of Second-Order Propositional Modal Logic
Simultaneously Updating All Persistence Values in Reinforcement Learning
Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults
Selective Transfer Between Learning Tasks Using Task-Based Boosting
NeAF: Learning Neural Angle Fields for Point Normal Estimation
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models
Differentiable Algorithm for Marginalising Changepoints
Intention Guided Belief Revision
Lookine: Let the Blind Hear a Smile
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
InstructOCR: Instruction Boosting Scene Text Spotting
Optimal Sampling Gaps for Adaptive Submodular Maximization
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise
Knowledge-Base Degrees of Inconsistency: Complexity and Counting
A Complexity-theoretic Analysis of Green Pickup-and-Delivery Problems
Polygon-to-Polygon Distance Loss for Rotated Object Detection
Adapting Language Models for Non-Parallel Author-Stylized Rewriting
CAMEX - An Expert System for Process Planning on CNC Machines
Discovering Hierarchical Structure for Sources and Entities
ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
Reasoning over Uncertain Text by Generative Large Language Models
Can Graph Neural Networks Learn to Solve the MaxSAT Problem? (Student Abstract)
Privileged Prior Information Distillation for Image Matting
Understanding VAEs in Fisher-Shannon Plane
Pareto Efficient Auctions with Interest Rates
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems
EqGNN: Equalized Node Opportunity in Graphs
Monte Carlo Filtering Using Kernel Embedding of Distributions
Semi-Supervised Knowledge Amalgamation for Sequence Classification
Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs
Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback
Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style
Constraint-Based Agents
Order of Magnitude Reasoning
Boosting Combinatorial Search Through Randomization
CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation
Monotone Abstractions in Ontology-Based Data Management
"I Don't Think So": Summarizing Policy Disagreements for Agent Comparison
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation
Hierarchical Location and Topic Based Query Expansion
Extending Policy Shaping to Continuous State Spaces (Student Abstract)
Word Attention for Sequence to Sequence Text Understanding
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
Fact Checking in Community Forums
Cross System Personalization by Learning Manifold Alignments
Learning Behavior Models for Hybrid Timed Systems
Heuristics for Agent Routing and Itinerary Optimization on Dynamic Networks
Acquiring Common Sense Spatial Knowledge Through Implicit Spatial Templates
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification
A User Interface for Knowledge Acquisition From Video
Information Transfer in Multitask Learning, Data Augmentation, and Beyond
Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies
SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search
Multi-Dimensional Classification via kNN Feature Augmentation
CRM Sales Prediction Using Continuous Time-Evolving Classification
Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation
Planning for Temporally Extended Goals
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
Studying Anonymous Health Issues and Substance Use on College Campuses with Yik Yak
Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game
FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization
A New Benchmark and Model for Challenging Image Manipulation Detection
Forgetting and Conflict Resolving in Disjunctive Logic Programming
Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection
Diffeomorphic Information Neural Estimation
Algorithmic Foundation of Federated Learning with Sequential Data
SIMD Tree Algorithms for Image Correlation
The Pitfalls of "Security by Obscurity" and What They Mean for Transparent AI
"Is It Rectangular?" Using I Spy as an Interactive, Game-Based Approach to Multimodal Robot Learning
CrowdFL: A Marketplace for Crowdsourced Federated Learning
A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce
Hybrid Case-Based Reasoning for the Diagnosis of Complex Devices
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton
Slack-Based Heuristics for Constraint Satisfaction Scheduling
Unifying Data-Directed and Goal-Directed Control: An Example and Experiments
Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation
Semi-Autonomous Animated Actors
Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning
Learning Compositional Tasks from Language Instructions
Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
User Participation and Honesty in Online Rating Systems: What a Social Network Can Do
An Inference Model for Semantic Entailment in Natural Language
Entropy-Based Logic Explanations of Neural Networks
Similarity Search for Efficient Active Learning and Search of Rare Concepts
Supervised Score-Based Modeling by Gradient Boosting
Towards Continuous Scientific Data Analysis and Hypothesis Evolution
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
An Improved Hierarchical Datastructure for Nearest Neighbor Search
Reduction and Local Search for Weighted Graph Coloring Problem
HC-Search for Multi-Label Prediction: An Empirical Study
Search Engine Guided Neural Machine Translation
On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing
Target Languages (vs. Inductive Biases) for Learning to Act and Plan
Online Active Linear Regression via Thresholding
Predicting Flashover Occurrence using Surrogate Temperature Data
Efficient Appliances Recognition in Smart Homes Based on Active and Reactive Power, Fast Fourier Transform and Decision Trees
Adaptive Pairwise Weights for Temporal Credit Assignment
FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
MOTIF-Driven Contrastive Learning of Graph Representations
Long-Tailed Learning as Multi-Objective Optimization
A Comparison of Novel and State-of-the-Art Polynomial Bayesian Network Learning Algorithms
Coherence-based Second Chance Autoencoders for Document Understanding
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives
DNNF-based Belief State Estimation
Robust Text Classification in the Presence of Confounding Bias
Analogical Replay for Efficient Conditional Planning
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract)
Interaction Matching for Long-Tail Multi-Label Classification
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
Modelling a Conversational Agent with Complex Emotional Intelligence
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models
Progressive Self-Learning for Domain Adaptation on Symbolic Regression of Integer Sequences
Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract)
Towards Evidential and Class Separable Open Set Object Detection
Darwinian Model Upgrades: Model Evolving with Selective Compatibility
A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids
Supervised Deep Hashing for Hierarchical Labeled Data
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training
Can We (and Should We) Make Formal Sense of General Knowledge Expressed in Ordinary Language?
Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation
Deep Blue is Still an Infant
Artificial Intelligence Applied to Assistive Technologies and Smart Environments, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 25, 2015
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond
Online Co-Localization in Indoor Wireless Networks by Dimension Reduction
DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization
NASGEM: Neural Architecture Search via Graph Embedding Method
Cluster Ensembles A Knowledge Reuse Framework for Combining Partitionings
MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)
Robust Partially-Compressed Least-Squares
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning
Solving PDE-Constrained Control Problems Using Operator Learning
Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data
Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder
Guaranteed Plans for Multi-Robot Systems via Optimization Modulo Theories
Relational Neurosymbolic Markov Models
Controlling Large Language Models Through Concept Activation Vectors
Disjoint Partial Enumeration without Blocking Clauses
Implicative and conjunctive fuzzy rules - A tool for reasoning from knowledge and examples
Deep Equilibrium Models for Snapshot Compressive Imaging
Large Language Model Meets Graph Neural Network in Knowledge Distillation
Reasoning about Priorities in Default Logic
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing
Shape-Adaptive Selection and Measurement for Oriented Object Detection
Learning to Analyze Binary Computer Code
Causal Representation Learning via Counterfactual Intervention
Kernelized Sorting for Natural Language Processing
Multiple Robust Learning for Recommendation
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications
Computationally Hard Problems Are Hard for QBF Proof Systems Too
DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning
Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis
Path-Specific Counterfactual Fairness
Monitoring Primitive Interactions During the Training of DNNs
A Multi-Channel Neural Graphical Event Model with Negative Evidence
Natural Language Processing for Enhancing Teaching and Learning
Responsible Robotics: A Socio-Ethical Addition to Robotics Courses
OntoSearch: A Full-Text Search Engine for the Semantic Web
Multi-View Randomized Kernel Classification via Nonconvex Optimization
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
Partitioned Sampling of Public Opinions Based on Their Social Dynamics
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection
Hierarchical Event Grounding
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling
Semantics-First Natural Language Processing
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior
Homelessness Service Provision: A Data Science Perspective
Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding
Progressive Poisoned Data Isolation for Training-Time Backdoor Defense
Cross-Domain Contrastive Learning for Time Series Clustering
A System for Reasoning About Time
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding
Multi-Label Ranking Loss Minimization for Matrix Completion
Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling
Cognitive Master Teacher
RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer
Bayesian Approach to Modeling and Detecting Communities in Signed Network
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation
Towards Automated Discovery of God-Like Folk Algorithms for Rubik's Cube
Causal Discovery Using Regression-Based Conditional Independence Tests
An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem
Improving Causal Discovery By Optimal Bayesian Network Learning
MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents
Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem
The Butterfly TM Lisp System
SpHMC: Spectral Hamiltonian Monte Carlo