yusuke1997/dblp-id-title huggingface dataset:
Fair and Efficient Online Allocations with Normalized Valuations
Evaluating the Robustness of Game Theoretic Solutions When Using Abstraction
The Perils of Learning Before Optimizing
Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition
Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net
Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time
Termination Approximation: Continuous State Decomposition for Hierarchical Reinforcement Learning
Neural Variable-Order Fractional Differential Equation Networks
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
Sublinear Classical and Quantum Algorithms for General Matrix Games
On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank
A Fast First-Cut Protocol for Agent Coordination
Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos
Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework
Agent Modeling in Expert Critiquing Systems
A Brief History and Recent Achievements in Bidirectional Search
Tractable Abstract Argumentation via Backdoor-Treewidth
Honesty in an Online Labor Market
Tools Identification By On-Board Adaptation of Vision-and-Language Models
VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning
The Use of Artificially Intelligent Agents with Bounded Rationality in the Study of Economic Markets
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding
Cooperative Game Solution Concepts that Maximize Stability under Noise
Filling Conversation Ellipsis for Better Social Dialog Understanding
Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract)
A Market-Based Coordination Mechanism for Resource Planning Under Uncertainty
SMT-Based Nonlinear PDDL+ Planning
All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract)
Safety Properties of Inductive Logic Programming
Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
Integrating Diverse Reasoning Methods in the BB1 Blackboard Control Architecture
Quantity Makes Quality: Learning with Partial Views
Optimal Rhode Island Hold'em Poker
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
A Lightweight Neural Model for Biomedical Entity Linking
Safe Subgame Resolving for Extensive Form Correlated Equilibrium
Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract)
QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management
Shaping AI Interest in Rural Middle Schools with Unplugged Learning: Gender Differences and Teacher Insights
AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction
AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction
Graph Neural Controlled Differential Equations for Traffic Forecasting
Session-Level User Satisfaction Prediction for Customer Service Chatbot in E-Commerce (Student Abstract)
Sampling Representative Users from Large Social Networks
Maximum-Variance Total Variation Denoising for Interpretable Spatial Smoothing
Probabilistic Programming Bots in Intuitive Physics Game Play
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
Unifying Decision and Function Queries in Stochastic Boolean Satisfiability
A Hierarchical Aspect-Sentiment Model for Online Reviews
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting
Temporal Context Enhanced Feature Aggregation for Video Object Detection
Large-Scale Multi-Robot Coverage Path Planning via Local Search
On the Inherent Level of Local Consistency in Constraint Networks
A Double Phases Generation Network for Yes or No Question Generation (Student Abstract)
Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning
A Unified Framework for Planning in Adversarial and Cooperative Environments
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
Robust Learning from Demonstration Techniques and Tools
Summarizing CSP Hardness with Continuous Probability Distributions
Improving Crowded Object Detection via Copy-Paste
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data
A Scalable Two Stage Approach to Computing Optimal Decision Sets
Towards Safe Reinforcement Learning via OOD Dynamics Detection in Autonomous Driving System (Student Abstract)
Double Policy Network for Aspect Sentiment Triplet Extraction (Student Abstract)
A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction
A Symbolic SAT-Based Algorithm for Almost-Sure Reachability with Small Strategies in POMDPs
Circumscription Implies Predicate Completion (Sometimes)
Functional Specification of Probabilistic Process Models
RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features
Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
Contrastive Credibility Propagation for Reliable Semi-supervised Learning
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization
Learning and the Unknown: Surveying Steps toward Open World Recognition
From Pigeons to Humans: Grounding Relational Learning in Concrete Examples
MAPLE: A Framework for Active Preference Learning Guided by Large Language Models
A Bayesian Approach to Perceptual 3D Object-Part Decomposition Using Skeleton-Based Representations
PNeRFLoc: Visual Localization with Point-Based Neural Radiance Fields
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
Filtering With Logic Programs and Its Application to General Game Playing
Temporal Topic Analysis with Endogenous and Exogenous Processes
Learning a Visual Tracker from a Single Movie without Annotation
On Probabilistic Generalization of Backdoors in Boolean Satisfiability
View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection
A Schedule Optimization Tool for Destructive and Non-Destructive Vehicle Tests
A Breadth-First Approach to Memory-Efficient Graph Search
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning
A General Implicit Framework for Fast NeRF Composition and Rendering
SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart
Multi-Label Community-Based Question Classification via Personalized Sequence Memory Network Learning
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs
Computing the Proportional Veto Core
Robustness in Probabilistic Temporal Planning
Diagrammatic Reasoning and Cases
Strategic Voting and Strategic Candidacy
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
Stability of Automatic Guidance for a Mobile Robot
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching
Static and Dynamic Abstraction Solves the Problem of Chatter in Qualitative Simulation
Cluster-Guided Contrastive Graph Clustering Network
Unsupervised Detection of Sub-Events in Large Scale Disasters
Strategyproof Peer Selection: Mechanisms, Analyses, and Experiments
Interpretable Local Tree Surrogate Policies
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract)
Bayesian Fault Detection and Diagnosis in Dynamic Systems
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
Matching Tweets with Applicable Fact-Checks Across Languages
Finding Cars, Goddesses and Enzymes: Parametrizable Acquisition of Labeled Instances for Open-Domain Information Extraction
Incremental Symmetry Breaking Constraints for Graph Search Problems
Temporal Relational Modeling with Self-Supervision for Action Segmentation
Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract)
Boosting Active Learning via Improving Test Performance
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
Evaluating Commonsense in Pre-Trained Language Models
Harnessing Edge Information for Improved Robustness in Vision Transformers
Methods for Boosting Revenue in Combinatorial Auctions
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
Synthesizing UNIX Shell Scripts Using Derivational Analogy: An Empirical Assessment
Fish Inspection System using a Parallel Neural Network Chip and Image Knowledge Builder Application
Policy Gradient Planning for Environmental Decision Making with Existing Simulators
Hospital Stockpiling Problems with Inventory Sharing
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
A Distributed Approach to Passive Localization for Sensor Networks
Lifelong Credit Assignment with the Success-Story Algorithm
On the Evaluation of Dynamic Critiquing: A Large-Scale User Study
Working Memory Capacity of ChatGPT: An Empirical Study
Dynamic Tangled Derivative Logic of Metric Spaces
On the Complexity of Domain-Independent Planning
Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification
Robots in an Intelligent Systems Course
Improving Approximate Value Iteration Using Memories and Predictive State Representations
Combining Data-Driven and Knowledge-Based AI Paradigms for Engineering AI-Based Safety-Critical Systems
Computing Quantal Stackelberg Equilibrium in Extensive-Form Games
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
Few-shot Font Generation with Localized Style Representations and Factorization
ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks
Simulation-based inference for plan monitoring
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
Beat the Machine: Challenging Workers to Find the Unknown Unknowns
Hierarchical Abstraction, Distributed Equilibrium Computation, and Post-Processing, with Application to a Champion No-Limit Texas Hold'em Agent
Filtering, Decomposition and Search Space Reduction for Optimal Sequential Planning
GoT: a Growing Tree Model for Clustering Ensemble
Introducing Ethical Thinking About Autonomous Vehicles Into an AI Course
An Automated Employee Timetabling System for Small Businesses
Toward a Framework for Assembling Broken Pottery Vessels
Applying Marginal MAP Search to Probabilistic Conformant Planning: Initial Results
Defending against Contagious Attacks on a Network with Resource Reallocation
Towards Large Scale Argumentation Support on the Semantic Web
MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint
A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability Problem
Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract)
ChemProp: A Dataset with Annotations for Instructional Language in Chemical Patents
Linearity-Aware Subspace Clustering
Multi-Subspace Matrix Recovery from Permuted Data
Understanding Descriptions of Visual Scenes Using Graph Grammars
Constrained Market Share Maximization by Signal-Guided Optimization
Multi-Domain Multi-Task Rehearsal for Lifelong Learning
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
Bounded Rationality Equilibrium Learning in Mean Field Games
Revolutionizing Education through AI-Powered Inclusive Learning Systems
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings
Unsupervised Alignment of Natural Language Instructions with Video Segments
Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract)
Strategyproof Mechanisms for One-Dimensional Hybrid and Obnoxious Facility Location Models
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Solving Large Extensive-Form Games with Strategy Constraints
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents
HybridPrompt: Bridging Language Models and Human Priors in Prompt Tuning for Visual Question Answering
Modern Artificial Intelligence for Health Analytics, Papers from the 2014 AAAI Workshop, Québec City, Québec, Canada, July 27, 2014
Intelligent Habitat Restoration Under Uncertainty
How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation
SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training
Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions
Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling
Deep Mutual Information Maximin for Cross-Modal Clustering
On Cryptographic Attacks Using Backdoors for SAT
Datalog Rewritability of Disjunctive Datalog Programs and its Applications to Ontology Reasoning
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
An Intelligent Dialogue Agent for the IoT Home
Modeling Expert Knowledge in a Heuristic-Based Gin Rummy Agent
Deep Short Text Classification with Knowledge Powered Attention
Specifying and Implementing Multi-Party Conversation Rules with Finite-State-Automata
Can Collective Sentiment Expressed on Twitter Predict Political Elections?
Cubic LSTMs for Video Prediction
SkillCLIP: Skill Aware Modality Fusion Visual Question Answering (Student Abstract)
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
A Recurrent Model for Collective Entity Linking with Adaptive Features
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming
Automatically Neutralizing Subjective Bias in Text
Fast and Exact Top-k Algorithm for PageRank
Learning Fractals by Gradient Descent
Little Flower at Memotion 2.0 2022 : Ensemble of Multi-Modal Model using Attention Mechanism in MEMOTION Analysis (short paper)
An Extended Alternating-Offers Bargaining Protocol for Automated Negotiation in Multi-Agent Systems
3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition
Learning to Improve Earth Observation Flight Planning
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection
POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing
Incremental Stochastic Factorization for Online Reinforcement Learning
Augmenting the Power of (Partial) MaxSat Resolution with Extension
Sequence Generation with Label Augmentation for Relation Extraction
NuMWVC: A Novel Local Search for Minimum Weighted Vertex Cover Problem
Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition
Understanding Linkages
Rethinking High-speed Image Reconstruction Framework with Spike Camera
The Hazards of Fancy Backtracking
Encoding Lineage in Scholarly Articles
Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment
Sequential Preference Optimization: Multi-Dimensional Preference Alignment with Implicit Reward Modeling
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Exploring More Realistic Evaluation Measures for Collaborative Filtering
Aggregating Opinions to Design Energy-Efficient Buildings
Hybrid Possibilistic Networks
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation
Capturing the Style of Fake News
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks
Strategy Purification
Model Counting: A New Strategy for Obtaining Good Bounds
Reducing Indeterminism in Consultation: A Cognitive Model of User/Librarian Interactions
Skeleton-Based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module
Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling
Constraints for the Early Detection of Discontinuity from Motion
Semantic Style Creation
Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation
MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples
Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration
Scores for Learning Discrete Causal Graphs with Unobserved Confounders
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
Neural Programming by Example
DeepStochLog: Neural Stochastic Logic Programming
Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract)
Approximability of Manipulating Elections
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
Efficient Online Training for Zero-Shot Time-Lapse Microscopy Denoising and Super-Resolution
Multi-Unit Auctions for Allocating Chance-Constrained Resources
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense
Visibility-Based Pursuit-Evasion with Limited Field of View
AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression
Approximate Probabilistic Inference via Word-Level Counting
Text Classification with Heterogeneous Information Network Kernels
VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping
Sensor Based Coverage of Unknown Environments for Land Mine Detection
Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning
The Importance of Selective Knowledge Transfer for Lifelong Learning
Greeny at Factify 2022: Ensemble Model with Optimized RoBERTa for Multi-Modal Fact Verification (short paper)
EA Reader: Enhance Attentive Reader for Cloze-Style Question Answering via Multi-Space Context Fusion
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment
Randomized Strategies for Robust Combinatorial Optimization
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations
Adversarial Unsupervised Representation Learning for Activity Time-Series
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation
Allocating Goods on a Graph to Eliminate Envy
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection
MIMAMO Net: Integrating Micro- and Macro-Motion for Video Emotion Recognition
Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes
Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms
From Intelligent Tutoring to Computerized Psychotherapy
A Compilation of the Full PDDL+ Language into SMT
Symbolic Synthesis of Observability Requirements for Diagnosability
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration
Optimal Allocation of Very Limited Search Resources
On the Fairness of Causal Algorithmic Recourse
Unifying Principles and Metrics for Safe and Assistive AI
Multi-View Clustering via Deep Matrix Factorization
Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator
Modeling Web Sources for Information Integration
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change
Click2Mask: Local Editing with Dynamic Mask Generation
An Axiomatic Account of Formal Argumentation
A New Characterization of the Experimental Implications of Causal Bayesian Networks
A Distributed Method for Evaluating Properties of a Robot Formation
CCA: An ML Pipeline for Cloud Anomaly Troubleshooting
HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection
Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation
Refining Inductive Bias in Unsupervised Learning via Constraints
Prediction of Relapse in Adolescent Depression using Fusion of Video and Speech Data (short paper)
CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis
Using the Semantic Web to Integrate Ecoinformatics Resources
Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games
Improving WalkSAT for Random k-Satisfiability Problem with k > 3
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning
Quantum-inspired Neural Network for Conversational Emotion Recognition
Optimizing Information Agents by Selectively Materializing Data
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept
Multi-Task Driven Feature Models for Thermal Infrared Tracking
K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach
Efficient Diagnosis of Multiple Disorders Based on a Symptom Clustering Approach
Cost-Sensitive Imputing Missing Values with Ordering
Towards Population Scale Activity Recognition: A Framework for Handling Data Diversity
Parallel Depth First Proof Number Search
QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos
Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL
Extending Analogical Generalization with Near-Misses