yusuke1997/dblp-id-title huggingface dataset:
GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance
ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton
Guardian: A Prototype Intelligent Agent for Intensive-Care Monitoring
AoP-SAM: Automation of Prompts for Efficient Segmentation
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation
Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation
Meta-Path Augmented Response Generation
Proving Theorems of Type Theory Automatically with TPS
Partial Observability in Grammar Based Plan Recognition
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
Soft Action Priors: Towards Robust Policy Transfer
Analyses of Instance-Based Learning Algorithms
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing
On Structured Argumentation with Conditional Preferences
Optimization of Chance-Constrained Submodular Functions
Boosting Classifiers Regionally
Robust Temporal Smoothness in Multi-Task Learning
End-to-End Autonomous Driving Through V2X Cooperation
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability
An Improved Lower Bound for Bayesian Network Structure Learning
Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies
An Ensemble Distillation Framework for Sentence Embeddings with Multilingual Round-Trip Translation
Learning Interface Agents
Continually Updating Neural Causal Models
Multimodal Reasoning for Automatic Model Construction
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents
Image Difference Captioning with Pre-training and Contrastive Learning
Ludus: An Optimization Framework to Balance Auto Battler Cards
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling
THMA: Tencent HD Map AI System for Creating HD Map Annotations
Root Cause Explanation of Outliers under Noisy Mechanisms
Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract)
Differentiable Inductive Logic Programming for Structured Examples
A Unified Model of Direct and Indirect Reciprocity in Multichannel Games
Mixing Strict and Defeasible Inheritance
Effects of the Implementation of Electronic Medical Records in Small Internal Medicine Practices on Healthcare Objectives in the United States
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem
Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games
AI Model Factory: Scaling AI for Industry 4.0 Applications
Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative Modeling
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO
Multiple Data Augmentation Strategies for Improving Performance on Automatic Short Answer Scoring
COMPOSER: A Probabilistic Solution to the Utility Problem in Speed-Up Learning
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning
IAAI-13 Preface
Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities
Scalable Theory-Driven Regularization of Scene Graph Generation Models
On the Equivalence of Linear Discriminant Analysis and Least Squares
Cross-View Feature Learning for Scalable Social Image Analysis
Goal-Oriented Euclidean Heuristics with Manifold Learning
Siamese Network with Interactive Transformer for Video Object Segmentation
Learning from eXtreme Bandit Feedback
Labeled Memory Networks for Online Model Adaptation
MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
UrbanWaste: In-the-Bin Dataset for Waste Disposal Inspection with Multi-Granularity Hierarchical Labels
Efficient Heuristic Natural Language Parsing
Learning Abduction Under Partial Observability
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
Perceptual-Sensitive GAN for Generating Adversarial Patches
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
Self-Paced Learning: An Implicit Regularization Perspective
Inferring Patient Zero on Temporal Networks via Graph Neural Networks
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations
Co-Saliency Detection Within a Single Image
Gesture-Based Interaction with a Pet Robot
A POMDP Formulation of Proactive Learning
Neural Continuous-Time Supermartingale Certificates
Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements
On Total-Order HTN Plan Verification with Method Preconditions - An Extension of the CYK Parsing Algorithm
Intuitive Rules Design Evaluation Methods and Case Study
Towards a Cognitive System that Can Recognize Spatial Regions Based on Context
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
Efficient Neural Architecture Search via Proximal Iterations
ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization
Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images
The Contour to Classification Game
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation
ABL-MICRO: Opportunities for Affective AI Built Using a Multimodal Microaggression Dataset
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters
Hierarchical Monte-Carlo Planning
Formal Verification of Bayesian Mechanisms
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso
Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM
Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models
Scaling-Up Robust Gradient Descent Techniques
Fair Division with Market Values
McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension
Model Uncertainty Guides Visual Object Tracking
A New Metric-Based Approach to Model Selection
Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base
Borda Count in Collective Decision Making: A Summary of Recent Results
Efficiently Mining High Quality Phrases from Texts
Enabling the Interoperability of Large-Scale Legacy Systems
Cost-Algebraic Heuristic Search
Image Captioning with Context-Aware Auxiliary Guidance
Online Sequence Alignment for Real-Time Audio Transcription by Non-Experts
Progressive Neighborhood Aggregation for Semantic Segmentation Refinement
Novel Exploration Techniques (NETs) for Malaria Policy Interventions
Adventures of Trustworthy Vision-Language Models: A Survey
A Reading Agent
Proof of Learning: Towards a Practical Blockchain Consensus Mechanism Using Directed Guiding Gradients (Student Abstract)
Scalable Feature Selection via Distributed Diversity Maximization
Combining Learned Discrete and Continuous Action Models
OpEvo: An Evolutionary Method for Tensor Operator Optimization
Colorization by Matrix Completion
Automatic Land Use and Land Cover Classification Using RapidEye Imagery in Mexico
SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning
Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect
Medical Manifestation-Aware De-Identification
Automated Debugging with Tractable Probabilistic Programming
Answering Regular Path Queries in Expressive Description Logics: An Automata-Theoretic Approach
Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism
BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract)
No Head Left Behind - Multi-Head Alignment Distillation for Transformers
Context-Bounded Refinement Filter Algorithm: Improving Recognizer Accuracy of Handwriting in Clock Drawing Test
Finding Optimal Solutions to Cooperative Pathfinding Problems
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
Preferred Explanations: Theory and Generation via Planning
Strategic Social Network Analysis
GeoRep: A Flexible Tool for Spatial Representation of Line Drawings
Localizing while Mapping: A Segment Approach
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Deep Graph Structural Infomax
Constructor: A System for the Induction of Probabilistic Models
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
Concealing Sensitive Samples against Gradient Leakage in Federated Learning
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization
Learning from Multiple Heuristics
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
EasyTS: The Express Lane to Long Time Series Forecasting
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models
DeepForest: 3D Hand Pose Estimation Using Deep Network and Random Forest Regression
An Implemented Model of Punning Riddles
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback
Efficient Algorithms to Solve Bayesian Stackelberg Games for Security Applications
Optimal Scheduling of Contract Algorithms for Anytime Problems
Data-Free Hard-Label Robustness Stealing Attack
Learning Measures of Progress for Planning Domains
Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games
TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation
Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis
Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution
Exact Algorithms for Multiagent Path Finding with Communication Constraints on Tree-Like Structures
Stability and Generalization of Decentralized Stochastic Gradient Descent
Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning
IXM2: A Parallel Associative Processor for Knowledge Processing
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis
Two-Dimensional PCA with F-Norm Minimization
THink: Inferring Cognitive Status from Subtle Behaviors
Pattern Discovery in Distributed Databases
Improving Bayesian Neural Networks by Adversarial Sampling
Partitioned External-Memory Value Iteration
Learning Compact Model for Large-Scale Multi-Label Data
Algorithmic Bayesian Persuasion with Combinatorial Actions
Safe Partial Diagnosis from Normal Observations
A Unified Implicit Dialog Framework for Conversational Commerce
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
Using a Sketch Pad Interface for Interacting with a Robot Team
Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models
Effective Decoding in Graph Auto-Encoder Using Triadic Closure
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings
NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
Competitive Analysis for Two-Level Ski-Rental Problem
AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion
Scalable Distributed DL Training: Batching Communication and Computation
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
A Multi Agent Approach to Vision Based Robot Scavenging
The Maximin Support Method: An Extension of the D'Hondt Method to Approval-Based Multiwinner Elections
Frontier Search and Plan Reconstruction in Oversubscription Planning
The Causal Impact of Credit Lines on Spending Distributions
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference
Coordinating Human and Agent Behavior in Collective-Risk Scenarios
AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification
Cognitive Compliance: Assessing Regulatory Risk in Financial Advice Documents
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation
Coactive Critiquing: Elicitation of Preferences and Features
Representation, Search and Genetic Algorithms
Estimating Word Translation Probabilities from Unrelated Monolingual Corpora Using the EM Algorithm
Spinning Multiple Social Networks for Semantic Web
Certifying Bounds Propagation for Integer Multiplication Constraints
A Second Order Parameter for 3SAT
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark
Towards Evolutionary Nonnegative Matrix Factorization
Learning SVM Classifiers with Indefinite Kernels
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
Adaptive Quantization for Deep Neural Network
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model
Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification
Negotiation as Mutual Belief Revision
Semi-supervised Active Learning for Video Action Detection
Pareto Optimality in Abstract Argumentation
Modeling Opponent Actions for Table-Tennis Playing Robot
ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation
Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading
A Parser for Portable NL Interfaces Using Graph-Unification-Based Grammars
Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae
Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching
Utilizing Internal State in Multi-Robot Coordination Tasks
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography
Inductive Pairwise Ranking: Going Beyond the n log( n ) Barrier
Point Cloud Semantic Scene Completion from RGB-D Images
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
Higher Order Structures for Graph Explanations
Early Syntactic Bootstrapping in an Incremental Memory-Limited Word Learner
OTyper: A Neural Architecture for Open Named Entity Typing
Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract)
Finite Sample Error Bound for Parzen Windows
Non-Additive Security Games
Extending the Applications of Recent Real-Time Heuristic Search
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model
Generality and Equivalence Relations in Default Logic
EmFORE: Learning Email Folder Classification Rules by Demonstration
An Analysis of a Welfare Eligibility Determination Interview: A Planning Approach
Progressive Network Grafting for Few-Shot Knowledge Distillation
Explanation-Based Indexing of Cases
Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning
A Health-friendly Speaker Verification System Supporting Mask Wearing
Random Feature Maps for the Itemset Kernel
Domain Decorrelation with Potential Energy Ranking
Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting
Unsupervised and Semi-Supervised Multi-Class Support Vector Machines
Research Applications of the MAGNET Multi-Agent Contracting Testbed
Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning
De-biased Attention Supervision for Text Classification with Causality
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes
Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal
A report of the CL-Aff OffMyChest Shared Task: Modeling Supportiveness and Disclosure
A Script-Based Approach to Modifying Knowledge-Based Systems
Learning to Pre-train Graph Neural Networks
Finding a Collective Set of Items: From Proportional Multirepresentation to Group Recommendation
Enhancing Lazy Grounding with Lazy Normalization in Answer-Set Programming
Semi-Supervised Classifications via Elastic and Robust Embedding
Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda
Unsupervised Stylish Image Description Generation via Domain Layer Norm
Fast Multi-view Discrete Clustering with Anchor Graphs
Neuro-Symbolic Integration for Reasoning and Learning on Knowledge Graphs
Syntactically Look-Ahead Attention Network for Sentence Compression
Decentralized Robust Subspace Clustering
Test-Time Personalization with Meta Prompt for Gaze Estimation
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
This Time the Robot Settles for a Cost: A Quantitative Approach to Temporal Logic Planning with Partial Satisfaction
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning
Constructing Fair Latent Space for Intersection of Fairness and Explainability
A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton
Production Systems Need Negation as Failure
Facial Attribute Capsules for Noise Face Super Resolution
Generalization Error Bounds for Optimization Algorithms via Stability
Learning to Select Pivotal Samples for Meta Re-weighting
Theory Directed Reading Diagnosis Research Using Computer Simulation
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation
Preserving Structural Consistency in Arbitrary Artist and Artwork Style Transfer
Multiple Dimensions of Generalization In Model-Based Troubleshooting
Learning Indexing Patterns from One Language for the Benefit of Others
Locate the Hate: Detecting Tweets against Blacks
Abductive and Default Reasoning: A Computational Core
Web-Based Mobile Robot Simulator
Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
Hypergraph p-Laplacian: A Differential Geometry View
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada
Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract)
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning
Intelligent Control of Auxiliary Ship Systems
Efficient Dependency-Guided Named Entity Recognition
SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing
Interaction and Task Patterns in Symbiotic, Mixed-Initiative Human-Robot Interaction
Generative Continual Concept Learning
Identifying Emotional Support in Online Health Communities
Multi-Agent Pathfinding as a Combinatorial Auction
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
Thompson Sampling for Stochastic Bandits with Graph Feedback
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment
Envisioning a Robust, Scalable Metacognitive Architecture Built on Dimensionality Reduction
PEA*+IDA*: An Improved Hybrid Memory-Restricted Algorithm
Planning Multimedia Explanations Using Communicative Acts
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
Risk-Aware Proactive Scheduling via Conditional Value-at-Risk
Learning to Coordinate without Sharing Information
Solving the Round Robin Problem Using Propositional Logic
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution
Consistent-Separable Feature Representation for Semantic Segmentation
A New Method for Solving Hard Satisfiability Problems
Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search
Dormant Independence
Recognizing Structure in Web Pages using Similarity Queries
Deep Reinforcement Learning for Green Security Game with Online Information
Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition
Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection
GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation
DeepSN: A Sheaf Neural Framework for Influence Maximization
Astromorphic Self-Repair of Neuromorphic Hardware Systems
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models
Quantitative Results Concerning the Utility of Explanation-Based Learning
Inference with Recursive Rules
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning
Active Sampling for Text Classification with Subinstance Level Queries
Backtracking Algorithms for Disjunctions of Temporal Constraints
Automated Refactoring of Object-Oriented Code Using Clustering Ensembles