yusuke1997/dblp-id-title huggingface dataset:
Mixture of Knowledge Minigraph Agents for Literature Review Generation
Denoising Criterion for Variational Auto-Encoding Framework
Verifying Proportionality in Temporal Voting
A Linear Programming Heuristic for Optimal Planning
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Hierarchical Modes Exploring in Generative Adversarial Networks
Dead-End Driven Learning
ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation
Optimal Aggregation of Uncertain Preferences
True Nonlinear Dynamics from Incomplete Networks
Semi-supervised Object Detection with Adaptive Class-Rebalancing Self-Training
Qualitative Reasoning about Cyber Intrusions
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label
Pyro: An Integrated Environment for Robotics Education
End-to-end Semantic Role Labeling with Neural Transition-based Model
Determining Surface Type From Surface Normals
The Satisfiability of Temporal Constraint Networks
Affective Content Classification using Convolutional Neural Networks
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment
Building a Timeline Network for Evacuation in Earthquake Disaster
A Security Game Combining Patrolling and Alarm-Triggered Responses Under Spatial and Detection Uncertainties
When Should a Cheetah Remind You of a Bat? Reminding in Case-Based Teaching
Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms
Evaluation of Type Inference with Textual Cues
Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models
Membership Privacy for Machine Learning Models Through Knowledge Transfer
Abstraction in Situation Calculus Action Theories
Embedded Bandits for Large-Scale Black-Box Optimization
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation
Teaching Active Human Learners
Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Safe Sample Screening for Robust Support Vector Machine
UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews
DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
Morphism-Based Learning for Structured Data
Bayesian Posterior Approximation via Greedy Particle Optimization
Refutation by Randomised General Resolution
Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes
Global Dilated Attention and Target Focusing Network for Robust Tracking
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems
Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images
Automating Thought of Search: A Journey Towards Soundness and Completeness (Student Abstract)
Case-Based Reasoning for General Electric Appliance Customer Support
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
COD: Online Temporal Clustering for Outbreak Detection
Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize
Deep Bayesian Optimization on Attributed Graphs
GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
Interacted Object Grounding in Spatio-Temporal Human-Object Interactions
Dueling Bandits with Qualitative Feedback
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders
Hierarchical Multi-Marginal Optimal Transport for Network Alignment
Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version)
Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes
Abstract Explanations of Strategy in a Diagnostic Consultation System
Solving Common-Payoff Games with Approximate Policy Iteration
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation
Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks
Embedding of Hierarchically Typed Knowledge Bases
Dynamic Algorithmic Impact Assessment to Promote an Ethical Use of AI in Businesses
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
Abduction-Based Explanations for Machine Learning Models
Learning Visual Context for Group Activity Recognition
Computational Issues in Time-Inconsistent Planning
Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases
Inconsistencies, Negations and Changes in Ontologies
Progressive Text-to-Image Diffusion with Soft Latent Direction
Learning Rewards From Linguistic Feedback
College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations
Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization
Model AI Assignments 2014
Learning Attentive Pairwise Interaction for Fine-Grained Classification
Discourse Factors in Multi-Document Summarization
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
The Off-Switch Game
Predicting Postoperative Atrial Fibrillation from Independent ECG Components
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments
Probabilities that Imply Certainties
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation
Optimizing Heat Alert Issuance with Reinforcement Learning
Decidable Verification of Golog Programs over Non-Local Effect Actions
Discovering State and Action Abstractions for Generalized Task and Motion Planning
Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening
Critical Hypersurfaces and the Quantity Space
Domain-Controlled Prompt Learning
Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract)
Tool for Automated Tax Coding of Invoices
Challenges for Using Impact Regularizers to Avoid Negative Side Effects
More Accurate Learning of k-DNF Reference Classes
Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information
Event Process Typing via Hierarchical Optimal Transport
A Parallel Self-Modifying Default Reasoning System
Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract)
The CL-Aff Happiness Shared Task: Results and Key Insights
Noisy Derivative-Free Optimization With Value Suppression
Spin: Diffusion-based Semantic Image Painting Through Independent Information Injection
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering
GBB: A Generic Blackboard Development System
Recovering True Classifier Performance in Positive-Unlabeled Learning
All I Know: An Abridged Report
From Whence Does Your Authority Come? Utilizing Community Relevance in Ranking
OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning
Cost-Effective Feature Selection and Ordering for Personalized Energy Estimates
A Framework for Aggregating Influenced CP-Nets and its Resistance to Bribery
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
Learning in Online Principal-Agent Interactions: The Power of Menus
The Complexity of Closed World Reasoning and Circumscription
Heuristic Search and Information Visualization Methods for School Redistricting
Learning Models for Multi-Source Integration
Task Interdependencies in Design-to-time Real-time Scheduling
AI Meets Chemistry
Online Search with Maximum Clearance
Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing
On Corruption-Robustness in Performative Reinforcement Learning
On Fair and Efficient Allocations of Indivisible Goods
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
Plan and Goal Recognition as HTN Planning
Rich Event Modeling for Script Event Prediction
Robot Navigation Using Image Sequences
Everyday Reasoning Meets Geometry Theorem-Proving
Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine
Achieving Flexibility, Efficiency, and Generality in Blackboard Architectures
A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach
FlowScope: Spotting Money Laundering Based on Graphs
Multiscale Manifold Learning
Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Deep Stereo Matching With Explicit Cost Aggregation Sub-Architecture
Efficient Memoization for Dynamic Programming with Ad-Hoc Constraints
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms
Structure, Duality, and Randomization: Common Themes in AI and OR
United for Change: Deliberative Coalition Formation to Change the Status Quo
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems
Fully Online Matching with Stochastic Arrivals and Departures
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract)
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows
Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models
NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search
Recurrent Nested Model for Sequence Generation
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing
One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
Facilitating Self-Education by Questioning Assumptive Reasoning
Learning Comprehensive Motion Representation for Action Recognition
Optimal Cost Almost-Sure Reachability in POMDPs
Learning to Incorporate Structure Knowledge for Image Inpainting
Explainable Reasoning over Knowledge Graphs for Recommendation
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
End-to-End Real-Time Vanishing Point Detection with Transformer
Mechanisms for Reasoning about Sets
Reinforcing Neural Network Stability with Attractor Dynamics
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding
Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification
Locally Fair Partitioning
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning
General Uncertainty Estimation with Delta Variances
AdvST: Revisiting Data Augmentations for Single Domain Generalization
Learning by Re-Expressing Concepts for Efficient Recognition
Dynamic DFS Tree in ADOPT-ing
RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
SFSRNet: Super-resolution for Single-Channel Audio Source Separation
RAProp: Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem and Inter-Tweet Agreement
Structured Output Learning with Conditional Generative Flows
The Paradoxical Success of Fuzzy Logic
Refinement-Based Planning as Satisfiability
Optimal Auction Based Automated Negotiation in Realistic Decentralised Market Environments
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation
Non-CNF QBF Solving with QCIR
Dependence Guided Unsupervised Feature Selection
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
Learning to Learn in Interactive Constraint Acquisition
A Mechanical Solution of Schubert's Steamroller by Many-Sorted Resolution
Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization
Apprenticeship Learning via Frank-Wolfe
Predisaster Preparation of Transportation Networks
Iterative Calculus of Voting under Plurality
Verifying ConGolog Programs on Bounded Situation Calculus Theories
ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference
Text2City: One-Stage Text-Driven Urban Layout Regeneration
A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information
Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks
Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution
S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions
Stochastic Planning and Lifted Inference
Template-Based Recognition of Pose and Motion Gestures On a Mobile Robot
Generating Rhythms with Genetic Algorithms
Towards Causal Replay for Knowledge Rehearsal in Continual Learning
Learning of Compositional Hierarchies By Data-Driven Chunking
GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting
PixelLaser: Learning Range via Texture
RAIN: Social Role-Aware Information Diffusion
AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds
Efficiently Reasoning with Interval Constraints in Forward Search Planning
Time-Consistency of Optimization Problems
Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations
Compiling Graph Substructures into Sentential Decision Diagrams
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs
Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
Evolving AI Opponents in a First-Person-Shooter Video Game
Elementary Sets of Logic Programs
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
Classification by Discriminative Regularization
Teaming Up: Georgia Tech's Multi-Robot Competition Teams
Parameterized Algorithms for Colored Clustering
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks
Human-Robot Interaction Research to Improve Quality of Life in Elder Care - An Approach and Issues
A General Formulation for Safely Exploiting Weakly Supervised Data
DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference
Progressive Feature Polishing Network for Salient Object Detection
Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels
Effective Bilingual Constraints for Semi-Supervised Learning of Named Entity Recognizers
Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models
Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors Using Transparent Low-E Films
Scheherazade: Crowd-Powered Interactive Narrative Generation
Diffusion Models for Attribution
Redesigning Stochastic Environments for Maximized Utility
MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection
Low-Cost Manipulation Powered by ROS
Gated Fully Fusion for Semantic Segmentation
Does Any AI-Based Activity Contribute to Develop AI Conception? A Case Study with Italian Fifth and Sixth Grade Classes
MetaAugment: Sample-Aware Data Augmentation Policy Learning
The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application Systems
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance
Dependency Structure-Enhanced Graph Attention Networks for Event Detection
One Node One Model: Featuring the Missing-Half for Graph Clustering
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
The Secretary Problem with Competing Employers on Random Edge Arrivals
Issues for Continual Learning in the Presence of Dataset Bias
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
Inference Graphs: A New Kind of Hybrid Reasoning System
Rethinking Propagation for Unsupervised Graph Domain Adaptation
To Choose or to Fuse? Scale Selection for Crowd Counting
MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
Attention-Based Multi-Modal Fusion Network for Semantic Scene Completion
Empowering Conversational AI is a Trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction
Deep Versus Compiled Knowledge Approaches to Diagnostic Problem-Solving
Naive Mixes for Word Sense Disambiguation
State-Based Disassembly Planning
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
A Relational Representation for Procedural Task Knowledge
Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising Robot
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification
Explicit Interaction Model towards Text Classification
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
Interactive First-Order Probabilistic Logic
DSINE: Deep Structural Influence Learning via Network Embedding
DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering
On Estimating Recommendation Evaluation Metrics under Sampling
Connectionist Networks for Learning Coordinated Motion in Autonomous Systems
Learning Safe Prediction for Semi-Supervised Regression
Predicting and Analyzing Language Specificity in Social Media Posts
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
Programming Robots Using Reinforcement Learning and Teaching
HVAC-Aware Occupancy Scheduling
Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding
Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation
Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual
Problem Structure in the Presence of Perturbations
Tight Inapproximability for Graphical Games
On Keeping Secrets: Intelligent Agents and the Ethics of Information Hiding
An Object-Based Bayesian Framework for Top-Down Visual Attention
Towards Explicit Integration of Knowledge in Expert Systems: An Analysis of MYCIN's Therapy Selection Algorithm
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping
Noise Strategies for Improving Local Search
What Does Your Face Sound Like? 3D Face Shape towards Voice
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher
Logic Guided Genetic Algorithms (Student Abstract)
Super Sparse Convolutional Neural Networks
Hybrid Planning for Partially Hierarchical Domains
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
Adaptive and Dynamic Team Formation for Strategic and Tactical Planning
Hybrid Hill-Climbing and Knowledge-Based Methods for Intelligent News Filtering
BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning
Designing Committees for Mitigating Biases
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
In-the-Dark Network Traffic Classification Using Support Vector Machines
Eliminating Majority Illusion Is Easy
Desktop Underwriter: Fannie Mae's Automated Mortgage Underwriting Expert System
SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network
Intelligent Multimedia Interfaces, the book is an outgrowth of the AAAI Workshop on Intelligent Multimedia Interfaces, Anaheim, CA, USA, August, 1991
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples
Optimization of Heterogeneous Computing Resources for Robotic Mapping
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks
From Centralized to Distributed Selective Overhearing
Optimistic Initialization for Exploration in Continuous Control
The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training
MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation
Learning to Recommend from Sparse Data via Generative User Feedback
Graph Learning for Inverse Landscape Genetics
Predictive Maintenance for General Aviation Using Convolutional Transformers
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games
Multiwinner Approval Rules as Apportionment Methods
SMT-Based Verification of Hybrid Systems
Mixed Heuristic Local Search for Protein Structure Prediction
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
Learning Quality-Enhancing Control Knowledge
An Operational Semantics for True Concurrency in BDI Agent Systems
Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval
A Model-based Approach for Merging Prioritized Knowledge Bases in Possibilistic Logic
Agent-based Simulation of Geo-Political Conflict
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm
A Semantic Process for Syntactic Disambiguation
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Information Extraction from HTML: Application of a General Machine Learning Approach