yusuke1997/dblp-id-title huggingface dataset:
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation
Multi-Task Deep Reinforcement Learning with PopArt
JR2Net: Joint Monocular 3D Face Reconstruction and Reenactment
R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection
Deep Reinforcement Learning for Early Diagnosis of Lung Cancer
Understanding and Improving Proximity Graph Based Maximum Inner Product Search
Kill Two Birds With One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement
Federated t-SNE and UMAP for Distributed Data Visualization
Maximum Satisfiability Using Core-Guided MaxSAT Resolution
Tracing Text Provenance via Context-Aware Lexical Substitution
Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping
Planning and Execution with Phase Transitions
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning
Towards Explainable NPCs: A Relational Exploration Learning Agent
Teaching Automated Strategic Reasoning Using Capstone Tournaments
Towards Societal Impact of AI
Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database
Gradient Harmonized Single-Stage Detector
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
Reasoning with Heterogeneous Graph Alignment for Video Question Answering
Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA
FSTA-SNN: Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks
Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model
How Does Data Augmentation Affect Privacy in Machine Learning?
Discourse, Health and Well-Being of Military Populations Through the Social Media Lens
Guiding Scientific Discovery with Explanations Using DEMUD
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types
Fairness Does Not Imply Satisfaction (Student Abstract)
Boosting for Real-Time Multivariate Time Series Classification
Tenth Anniversary of the Plastics Color Formulation Tool
Untangling Topic Threads in Chat-Based Communication: A Case Study
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
SVVAMP: Simulator of Various Voting Algorithms in Manipulating Populations
Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract)
USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning
Deciding Semantic Matching of Stateless Services
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
FITS: A Fraction Intelligent Tutoring System
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
AI for Software Quality Assurance Blue Sky Ideas Talk
Learning Reduced Fluid Dynamics
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)
Reinforcement Learning for Improved Low Resource Dialogue Generation
An Approach to Default Reasoning Based on a First-Order Conditional Logic
Shape-based Feature Engineering for Solar Flare Prediction
Sensitivity of Diffusion Dynamics to Network Uncertainty
TorusE: Knowledge Graph Embedding on a Lie Group
An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments
Constraining a Deterministic Parser
Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters
MarketBayes: A Distributed, Market-Based Bayesian Network
REWOrD: Semantic Relatedness in the Web of Data
Exploiting Invariance in Training Deep Neural Networks
Optimal Sparse Regression Trees
Nearly Monotonic Problems: A Key to Effective FA/C Distributed Sensor Interpretation?
Inference Rules for High-Order Consistency in Weighted CSP
Robust Winners and Winner Determination Policies under Candidate Uncertainty
Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features
Using Qualitative Physics to Build Articulate Software for Thermodynamics Education
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information
Visualization for Structured Constraint Satisfaction Problems
A Learning Support Method in Qualitative Simulation-Based Economic Education
Compilation for Critically Constrained Knowledge Bases
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores
A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract)
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning
Prevention Techniques for a Temporal Planner
One-Pass Incomplete Multi-View Clustering
See Your Emotion from Gait Using Unlabeled Skeleton Data
Development and Deployment of a Disciple Agent for Center of Gravity Analysis
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization
Using Small Business Banking Data for Explainable Credit Risk Scoring
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints
Calorie Estimation in a Real-World Recipe Service
A Theory of Game Trees
OC1: A Randomized Induction of Oblique Decision Trees
CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity
Exact Subspace Clustering in Linear Time
Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised Super-Resolution Transfer
Point Cloud Mamba: Point Cloud Learning via State Space Model
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification
SAT-Based Answer Set Programming
The Complexity Landscape of Claim-Augmented Argumentation Frameworks
Static-Dynamic Interaction Networks for Offline Signature Verification
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
Structured Probabilistic Coding
A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning
Prediction of Helpful Reviews Using Emotions Extraction
Beyond RPCA: Flattening Complex Noise in the Frequency Domain
Towards a Programmer's Apprentice (Again)
Unsupervised Learning of Evolving Relationships Between Literary Characters
Uncertainty Reduction for Active Image Clustering via a Hybrid Global-Local Uncertainty Model
Identifying Semantics in Clinical Reports Using Neural Machine Translation
Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion
Bayesian Optimization-Based Combinatorial Assignment
Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions
Factored Models for Multiscale Decision-Making in Smart Grid Customers
A No Free Lunch Theorem for Human-AI Collaboration
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
Game Playing: The Next Moves
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration
Incremental Non-Backtracking Focusing: A Polynomially Bounded Generalization Algorithm for Version Spaces
Human-Like Morality and Ethics for Robots
Exploiting Variable Associations to Configure Efficient Local Search in Large-Scale Set Partitioning Problems
Data Quality in Ontology-based Data Access: The Case of Consistency
Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning
The Queue Method: Handling Delay, Heuristics, Prior Data, and Evaluation in Bandits
Only-Knowing: Taking It Beyond Autoepistemic Reasoning
Goal-Conditioned Generators of Deep Policies
Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification
SmartHS: An AI Platform for Improving Government Service Provision
Towards Multi-timescale Online Monitoring of AI Models
A Neural Transition-Based Approach for Semantic Dependency Graph Parsing
Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
Detection and Defense of Unlearnable Examples
Real-Time Identification of Operating Room State from Video
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
Genre Classification of Web Documents
Dynamic Distributed Constraint Reasoning
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework
Automated Instructor Assistant for Ship Damage Control
DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding
Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation
Evaluating Mathematical Reasoning Beyond Accuracy
Value Alignment or Misalignment - What Will Keep Systems Accountable?
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
A System of Plans for Connected Speech Recognition
Online Learning in Monkeys
Cross-Domain Recommendation via Coupled Factorization Machines
SALL-E: Situated Agent for Language Learning
Detecting Adversarial Examples Through Image Transformation
Dual Relation Semi-Supervised Multi-Label Learning
Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval
Neural Dynamics and Gamma Oscillation on a Hybrid Excitatory-Inhibitory Complex Network (Student Abstract)
Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract)
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
Determination of Machine Condition Using Neural Networks
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels
On Local Overfitting and Forgetting in Deep Neural Networks
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning
Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks
Task Frames in Robot Manipulation
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics
PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation
Blending Advertising with Organic Content in E-commerce via Virtual Bids
Very Fast Decision Table Execution of Propositional Expert Systems
Algorithms for Finding Approximate Formations in Games
HC-Search: Learning Heuristics and Cost Functions for Structured Prediction
Novax or Novak? Estimating Social Media Stance towards Celebrity Vaccine Hesitancy (Student Abstract)
Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification
WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection
Cooperative Exploration in the Electronic Marketplace
Large-Scale Optimistic Adaptive Submodularity
Extracting Latent Information from Datasets in CONSTRAINT 2021 Shared Task
Learning to Extract Quality Discourse in Online Communities
From MiniMax to Manhattan
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection
Decision-Theoretic Clustering of Strategies
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation
Abductive Completion of Plan Sketches
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs
Satisfiability and Algorithms for Non-uniform Random k-SAT
ACPBench: Reasoning About Action, Change, and Planning
DC-SSAT: A Divide-and-Conquer Approach to Solving Stochastic Satisfiability Problems Efficiently
Correlation Loss: Enforcing Correlation between Classification and Localization
Anomaly Detection Using Autoencoders in High Performance Computing Systems
Function-Based Classification from 3D Data via Generic and Symbolic Models
Mitigating Label Noise through Data Ambiguation
Authoring New Material in a Reading Tutor that Listens
Non-Linear Regression for Bag-of-Words Data via Gaussian Process Latent Variable Set Model
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information
A Frameworkfor Investigating Production System Formulations with Polynomially Bounded Match
Dancing with Decision Diagrams: A Combined Approach to Exact Cover
Capturing the Unseen: Vision-Free Facial Motion Capture Using Inertial Measurement Units
A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty
Heuretics: Theoretical and Experimental Study of Heuristic Rules
Stochastic Online Learning with Probabilistic Graph Feedback
SUSTAIN: A Model of Human Category Learning
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Chunk Dynamic Updating for Group Lasso with ODEs
FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation
nBIIG: A Neural BI Insights Generation System for Table Reporting
Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract)
Lifted Inference via k-Locality
Incorporating Bidirection-Interactive Information and Semantic Features for Relational Facts Extraction (Student Abstract)
Multi-Task Learning and Algorithmic Stability
Worst-case Optimal Conjunctive Query Answering for an Expressive Description Logic without Inverses
A Matching-Based Algorithm for the Traveling Tournament Problem
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling
Separate in Latent Space: Unsupervised Single Image Layer Separation
SEAT: Stable and Explainable Attention
Answer Sets for Logic Programs with Arbitrary Abstract Constraint Atoms
PID-Based Approach to Adversarial Attacks
Video Event Extraction with Multi-View Interaction Knowledge Distillation
Optimal Recommendation Sets: Covering Uncertainty over User Preferences
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract)
Induction of Multivariate Regression Trees for Design Optimization
Interpreting Neural Networks as Quantitative Argumentation Frameworks
False-Name Bidding and Economic Efficiency in Combinatorial Auctions
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently
Uncorrelated Group LASSO
Domain-Independent Reason-Enhanced Controller for Task-ORiented Systems - DIRECTOR
Learning from Mistakes - a Framework for Neural Architecture Search
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
Characterizing the Evasion Attackability of Multi-label Classifiers
Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions
Data Poisoning Attacks on Multi-Task Relationship Learning
The Formation of Coalitions Among Self-Interested Agents
Computing the Extensions of Autoepistemic and Default Logics with a Truth Maintenance System
A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data
Properties of Programs with Monotone and Convex Constraints
ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning
Random Mixed Field Model for Mixed-Attribute Data Restoration
ODTrack: Online Dense Temporal Token Learning for Visual Tracking
Generalized Adversarially Learned Inference
Reaching Individually Stable Coalition Structures in Hedonic Games
Enhancing Evolving Domain Generalization through Dynamic Latent Representations
Training Recurrent Neural Networks with Inherent Missing Data for Wearable Device Applications (Student Abstract)
Text Image Inpainting via Global Structure-Guided Diffusion Models
Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting
Solving Multiagent Planning Problems with Concurrent Conditional Effects
Indecision Modeling
Shard Systems: Scalable, Robust and Persistent Multi-Agent Path Finding with Performance Guarantees
Deep Learning for Algorithm Portfolios
Model AI Assignments 2018
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos
News Verification by Exploiting Conflicting Social Viewpoints in Microblogs
Weak-Commitment Search for Solving Constraint Satisfaction Problems
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II)
Collaborative Expert Portfolio Management
Systematically Exploring Associations among Multivariate Data
Solving Integer Quadratic Programming via Explicit and Structural Restrictions
The Cost Perspective of Liquid Democracy: Feasibility and Control
Combating Online Hostile Posts in Regional Languages during Emergency Situation - First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers
Intelligent Multimedia Interfaces - Introduction
TV Content Recommender System
An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse
GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation
Video Frame Interpolation via Deformable Separable Convolution
A Multi-Agent System for Meting Out Influence in an Intelligent Environment
Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion
Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
Online Learning with Expert Advice and Finite-Horizon Constraints
Dialog Router: Automated Dialog Transition via Multi-Task Learning
Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem
HUNTER-GATHERER: Three Search Techniques Integrated for Natural Language Semantics
An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract)
A Logic of Knowledge and Belief for Recursive Modeling: A Preliminary Report
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
Identifying Evaluative Sentences in Online Discussions
Gradient Based Activations for Accurate Bias-Free Learning
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Using Abstraction to Automate Program Improvement by Transformation
Homography Decomposition Networks for Planar Object Tracking
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment
Deep Homography Estimation for Visual Place Recognition
Meta Learning for Causal Direction
Stable Invitations
Decomposition Strategies for Constructive Preference Elicitation
An Incremental Interactive Algorithm for Regular Grammar Inference
Submodel Decomposition Bounds for Influence Diagrams
Eliminating Latent Discrimination: Train Then Mask
Subgraph Invariant Learning Towards Large-Scale Graph Node Classification
An Approach to Hypermedia in Diagnostic Systems
Deep Reinforcement Learning for Active Human Pose Estimation
RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract)
Achieving Envy-freeness and Equitability with Monetary Transfers
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization
Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation
CAMH: Advancing Model Hijacking Attack in Machine Learning
Towards Efficient Detection of Overlapping Communities in Massive Networks
The Effectiveness of Peer Prediction in Long-Term Forecasting
An Online Logic Programming Development Environment
Task Behavior and Interaction Planning for a Mobile Service Robot that Occasionally Requires Help
Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis
Confident Reasoning on Raven's Progressive Matrices Tests
The Role of WordNet in The Creation of a Trainable Message Understanding System
DL-Lite in the Light of First-Order Logic
A Game-Theoretic Analysis of Catalog Optimization
Modeling the Evolution of Knowledge in Learning Systems
Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree
Automating the Expansion of Instrument Typicals in Piping and Instrumentation Diagrams (P&IDs)
Model Checking Temporal Epistemic Logic under Bounded Recall
Improved Local Search for Binary Matrix Factorization
A Pattern Matching Based Model for Implicit Opinion Question Identification
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog
Lego Mindstorms Programming via PREOP
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract)
Scalable Negotiating Agent Strategy via Multi-Issue Policy Network (Student Abstract)
Stochastic Privacy
MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension
Combining Human Reasoning and Machine Computation: Towards a Memetic Network Solution to Satisfiability
Improving Sequence-to-Sequence Constituency Parsing
Transformation of Emotions in Images Using Poisson Blended Generative Adversarial Networks (Student Abstract)
Frustratingly Easy Truth Discovery
Interweaving Memories of a Siamese Large Language Model
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
The Sensitivity of Motion and Structure Computations
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory
More on Inheritance Hierarchies with Exceptions: Default Theories and Inferential Distance
Forgetting an Argument
Guiding Students to Investigate What Google Speech Recognition Knows about Language
Provable Detection of Propagating Sampling Bias in Prediction Models
Modeling Emotions and Other Motivations in Synthetic Agents
I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance (Student Abstract)
Continual Learning through Retrieval and Imagination
Self-Organized Collective Decision-Making in a 100-Robot Swarm
Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems
AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose
Simultaneous 2nd Price Item Auctions with No-Underbidding
MGLAIR Agents in Virtual and Other Graphical Environments
Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search