yusuke1997/dblp-id-title huggingface dataset:
Machine Discovery Based on Numerical Data Generated in Computer Experiments
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization
Competitive Safety Analysis
RTN: Reparameterized Ternary Network
BScNets: Block Simplicial Complex Neural Networks
Sacre: a Constraint Satisfaction Problem Based Theorem Prover
On Completing Sparse Knowledge Base with Transitive Relation Embedding
An Inconsistency-Tolerant Approach to Information Merging Based on Proposition Relaxation
Recent Advancements in Inverse Reinforcement Learning
ScreenMark: Watermarking Arbitrary Visual Content on Screen
Layered Learning in Multiagent Systems
(Almost Full) EFX for Three (and More) Types of Agents
Does Few-Shot Learning Suffer from Backdoor Attacks?
Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering
DTL: Disentangled Transfer Learning for Visual Recognition
FloNa: Floor Plan Guided Embodied Visual Navigation
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models
Manipulating Districts to Win Elections: Fine-Grained Complexity
Combining CP-Nets with the Power of Ontologies
Audio Entailment: Assessing Deductive Reasoning for Audio Understanding
Tractable Cost-Optimal Planning over Restricted Polytree Causal Graphs
Exploring Task-Level Optimal Prompts for Visual In-Context Learning
Bridging the Gap Between Task and Motion Planning, Papers from the 2010 AAAI Workshop, Atlanta, Georgia, USA, July 11, 2010
Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract)
Learning Accuracy and Availability of Humans Who Help Mobile Robots
Assessing the Complexity of Plan Recognition
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks
How Linguistically Fair Are Multilingual Pre-Trained Language Models?
Latent Discriminant Analysis with Representative Feature Discovery
Calibrated Disambiguation for Partial Multi-label Learning
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices
Exponential Deepening A* for Real-Time Agent-Centered Search
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
Diffusion Network Inference from Partial Observations
Reasoning about Saturated Conditional Independence Under Uncertainty: Axioms, Algorithms, and Levesque's Situations to the Rescue
Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data
Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Group Fairness for the Allocation of Indivisible Goods
The AI Rebellion: Changing the Narrative
An Optimal Contracting Strategy in a Digital Library
Bi-volution: A Static and Dynamic Coupled Filter
Dynamic Ontologies on the Web
Reasoning about Qualitative Temporal Information
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering
r-BTN: Cross-Domain Face Composite and Synthesis From Limited Facial Patches
Improving Dynamic HDR Imaging with Fusion Transformer
CHEF: A Model of Case-Based Planning
Generating Sentences Using a Dynamic Canvas
Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling
Conditional Diffusion Models Based Conditional Independence Testing
The Illusion of Empathy: How AI Chatbots Shape Conversation Perception
An Integrated System for Multi-Rover Scientific Exploration
Neural Sentence Simplification with Semantic Dependency Information
Spatial Voting with Incomplete Voter Information
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition
Developing Scripts to Teach Social Skills: Can the Crowd Assist the Author?
Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language
Distribution Kernel Methods for Multiple-Instance Learning
A Hybrid Approach for Visual Recognition of Object States
Large Scale Knowledge Base Systems: An Empirical Evaluation Perspective
An Adversarial Interpretation of Information-Theoretic Bounded Rationality
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation
Facility Location with Double-Peaked Preferences
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education
Region-Based Quality Estimation Network for Large-Scale Person Re-Identification
Automatic Generation of Alternative Starting Positions for Simple Traditional Board Games
Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers
Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise
Unsupervised Methods For Subgoal Discovery During Intrinsic Motivation in Model-Free Hierarchical Reinforcement Learning
The Parameterized Complexity of Network Microaggregation
Artificial Intelligence-Based Computer Modeling Tools for Controlling Slag Foaming in Electric Furnaces
Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset
HTN Planning: Complexity and Expressivity
Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
OpenVIS: Open-vocabulary Video Instance Segmentation
Simplicity Bias in Overparameterized Machine Learning
CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation
LoRA Unlearns More and Retains More (Student Abstract)
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience
Using a Novel Capsule Network For an Innovative Approach to Image Captioning
Towards a Virtual Librarian for Biologically Inspired Design Knowledge-Based Methods for Document Understanding
Asymptotically Optimal Encodings of Conformant Planning in QBF
CASIE: Extracting Cybersecurity Event Information from Text
A Morphogenetically Assisted Design Variation Tool
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition
Sample Efficient Reinforcement Learning with REINFORCE
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
High-Resolution Deep Image Matting
Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
OBDD-Based Planning with Real-Valued Variables in Non-Deterministic Environments
Probabilistic Model Checking of Robots Deployed in Extreme Environments
BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation
The Dartmouth Mobile Robot: SK
MAXSAT Heuristics for Cost Optimal Planning
CODE: Confident Ordinary Differential Editing
Reversible DAC and Other Improvements for Solving Max-CSP
LatRec: Recognizing Goals in Latent Space (Student Abstract)
Modeling Dynamic Multi-Topic Discussions in Online Forums
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation
The Pricing War Continues: On Competitive Multi-Item Pricing
Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
How the Duration of the Learning Period Affects the Performance of Random Gradient Selection Hyper-Heuristics
Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation
Acceleration Methods for Numeric CSPs
Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making
A Causal Inference Look at Unsupervised Video Anomaly Detection
Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization
Delivering Hints in a Dialogue-Based Intelligent Tutoring System
Finding All of the Solutions to a Problem
Lifting (D)QBF Preprocessing and Solving Techniques to (D)SSAT
Human-Guided Moral Decision Making in Text-Based Games
Event Detection via Gated Multilingual Attention Mechanism
Multivariate Clustering by Dynamics
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
Non-Convex Feature Learning via L_{p, inf} Operator
Locally Optimal Algorithms and Solutions for Distributed Constraint Optimization
MathMistake Checker: A Comprehensive Demonstration for Step-by-Step Math Problem Mistake Finding by Prompt-Guided LLMs
Optimal Sequential Drilling for Hydrocarbon Field Development Planning
Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models
Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings
Authorship Attribution Using a Neural Network Language Model
Bayesian Reasoning for Tropical Cyclone Intensity Forecasting and Risk Analysis
LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction
Revenue Monotonicity in Combinatorial Auctions
Assumption-Based Planning: Generating Plans and Explanations under Incomplete Knowledge
SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image
Continuous Mixtures of Tractable Probabilistic Models
On the Modelling of Constraints with Tractable Logical Operators
KernelMatmul: Scaling Gaussian Processes to Large Time Series
Teacher Perspectives on How To Train Your Robot: A Middle School AI and Ethics Curriculum
Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Approach
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration
"Bilingual Expert" Can Find Translation Errors
An Intensive Introductory Robotics Course Without Prerequisites
Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations
XRand: Differentially Private Defense against Explanation-Guided Attacks
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
Modeling Scientific Influence for Research Trending Topic Prediction
Semi-supervised Sequence Classification through Change Point Detection
Decompositions of Grammar Constraints
Fairness in Decision-Making - The Causal Explanation Formula
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
HCILab at Memotion 2.0 2022: Analysis of Sentiment, Emotion and Intensity of Emotion Classes from Meme Images using Single and Multi Modalities (short paper)
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences
An Average-Reward Reinforcement Learning Algorithm for Computing Bias-Optimal Policies
When Your AI Becomes a Target: AI Security Incidents and Best Practices
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
Expressiveness of Languages
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
Computational Results for Extensive-Form Adversarial Team Games
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
Juice: A Julia Package for Logic and Probabilistic Circuits
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data
SCCS: Deep Neural Spectral Clustering for Self-Supervised Subcellular Structure Segmentation
Computing Optimal Strategies to Commit to in Stochastic Games
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
A Novel Approach to Solving Goal-Achieving Problems for Board Games
Optimal Depth-First Strategies for And-Or Trees
Learning Rich Representations from Low-Level Sensors, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 15, 2013
Knocking in the Game of Gin Rummy
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
Scalable and Trustworthy Learning in Heterogeneous Networks
Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis
Practical Frank-Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games
Fair Rent Division on a Budget
Distributed Hessian-Free Optimization for Deep Neural Network
Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos
Deep Video Frame Interpolation Using Cyclic Frame Generation
Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games
EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease
ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal
The Game of Hex: An Automatic Theorem Proving Approach to Game Programming
Domain Engineering to Represent Human Behavior Using Multi-Agent Planning and Inductive Methodologies
Parameterized Algorithms for Finding a Collective Set of Items
On the Power of Top-Down Branching Heuristics
Introduction to Machine Learning with Robots and Playful Learning
DeepHardMark: Towards Watermarking Neural Network Hardware
Image Conductor: Precision Control for Interactive Video Synthesis
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing
SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger
Introducing AI to Undergraduate Students via Computer Vision Projects
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract)
Variational Inference for Learning Representations of Natural Language Edits
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information
Bayesian Functional Optimization
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting
Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games
Educational Question Mining At Scale: Prediction, Analysis and Personalization
AI Made by Youth: A Conversational AI Curriculum for Middle School Summer Camps
Probabilistic Self-Localization for Sensor Networks
Memory-Augmenting Decoder-Only Language Models through Encoders (Student Abstract)
Text2Relight: Creative Portrait Relighting with Text Guidance
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering
Supervised Hashing for Image Retrieval via Image Representation Learning
Structured Representation of Complex Stochastic Systems
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge
Efficient Target Propagation by Deriving Analytical Solution
From Statistics to Beliefs
Backpropagation Through Agents
Common Sense Data Acquisition for Indoor Mobile Robots
DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations
Probabilistic Neural Circuits
2-in-1 Phishing Detection via Large LM Distillation and Small LM Perturbation (Student Abstract)
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis
SodaBot: A Software Agent Environment and Construction System
Adversarial Training and Provable Robustness: A Tale of Two Objectives
Robust Classification under Covariate Shift with Application to Active Learning
An Algorithm for Real-Time Tracking of Non-Rigid Objects
Cold-start Sequential Recommendation via Meta Learner
A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection
Learning Discrete-Time Major-Minor Mean Field Games
Approximate Lifting Techniques for Belief Propagation
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
Informed Lifting for Message-Passing
Deriving and Using Abstract Representation in Behavior-Based Systems
Iterative Constraint-based Repair for Multiagent Scheduling
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
Query-Driven Multi-Instance Learning
A Framework for Bayesian Network Mapping
Cross-Task Knowledge Distillation in Multi-Task Recommendation
Relational Programming with Foundational Models
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
Surprise-Triggered Reformulation of Design Goals
Memory-Oriented Structural Pruning for Efficient Image Restoration
Boosting Segment Anything Model Towards Open-Vocabulary Learning
Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract)
Mask & Focus: Conversation Modelling by Learning Concepts
Belief Reward Shaping in Reinforcement Learning
Intelligent Methods for File System Optimization
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
Graph Partitioning Based on Link Distributions
Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning
CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating
Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School Connectivity
Representation Discovery in Sequential Decision Making
Finding Multivariate Splits in Decision Trees Using Function Optimization
TempoExpress: An Expressivity-Preserving Musical Tempo Transformation System
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection
Tree-Structured Bias
Learning Dynamic Latent Spaces for Lifelong Generative Modelling
Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations
Analyzing the Performance of Pattern Database Heuristics
Strengthening Agents Strategic Ability with Communication
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications
Tractable Anytime Temporal Constraint Propagation
Development of a Hybrid Knowledge-Based System for Multiobjective Optimization of Power Distribution System Operations
Matching 100, 000 Learned Rules
A Conjunctive Query Language for Description Logic Aboxes
A Hybrid Parallel IDA Search
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos
AI-Powered Algorithm-Centric Quantum Processor Topology Design
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
A Unified Bias-Variance Decomposition for Zero-One and Squared Loss
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
Manifold Warping: Manifold Alignment over Time
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback
AutoFolio: Algorithm Configuration for Algorithm Selection
One-shot Face Reenactment Using Appearance Adaptive Normalization
AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis
Temporal Interlacing Network
Multi-level Distance Regularization for Deep Metric Learning
A Hybrid Approach of Classifier and Clustering for Solving the Missing Node Problem
Computing the Strategy to Commit to in Polymatrix Games
Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks
Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal Retrieval
PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs
FairyTED: A Fair Rating Predictor for TED Talk Data
Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target Regression
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances
Experiments on Visual Information Extraction with the Faces of Wikipedia
Improving Fairness in Information Exposure by Adding Links
An Online Learning Approach to Sequential User-Centric Selection Problems
Dynamic Action Repetition for Deep Reinforcement Learning
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
Image Privacy Prediction Using Deep Features
Spatial and Temporal Mutual Promotion for Video-Based Person Re-Identification
Inferring Formal Software Specifications from Episodic Descriptions
Regret Ratio Minimization in Multi-Objective Submodular Function Maximization
Watch Their Moves: Applying Probabilistic Multiple Object Tracking to Autonomous Robot Soccer
On Boosting Semantic Web Data Access
Goal-Driven Query Answering for Existential Rules With Equality
An AGM-Based Belief Revision Mechanism for Probabilistic Spatio-Temporal Logics
Scaling Up Reasoning about Actions Using Relational Database Technology
Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming
Hierarchical Vector Quantization for Unsupervised Action Segmentation
Methods for Empirical Game-Theoretic Analysis
Identification of Linear Latent Variable Model with Arbitrary Distribution
Increasing Iterate Averaging for Solving Saddle-Point Problems
QPC: A Compiler from Physical Models into Qualitative Differential Equations
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Networks
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis
Domain-General Crowd Counting in Unseen Scenarios
Accelerating Random Kaczmarz Algorithm Based on Clustering Information
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network
Improving Inference through Conceptual Clustering
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models
Transmission Network Expansion Planning with Simulation Optimization
ALFRESCO: Enjoying the Combination of Natural Language Processing and Hypermedia for Information Exploration
Steganographic Internet of Things: Graph Topology Timing Channels
Assembling a Device
Markov Decision Processes for Control of a Sensor Network-based Health Monitoring System
Learning Scripts as Hidden Markov Models
Neural Integro-Differential Equations
Finding Median Point-Set Using Earth Mover's Distance
Decision-Theoretic Control of Crowd-Sourced Workflows
An Integrated Development Environment and Architecture for Soar-Based Agents
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis