yusuke1997/dblp-id-title huggingface dataset:
Risk Management in Image Generative Models through Model Fingerprinting
Models of Plans to Support Communication: An Initial Report
Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation
Minimizing the Spread of Contamination by Blocking Links in a Network
Re-TACRED: Addressing Shortcomings of the TACRED Dataset
DDAE: Towards Deep Dynamic Vision BERT Pretraining
A New Strategy-Proof Greedy-Allocation Combinatorial Auction Protocol and Its Extension to Open Ascending Auction Protocol
Recommendation as Classification: Using Social and Content-Based Information in Recommendation
Cross-Lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis
AI Challenges in Synthetic Biology Engineering
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada
Theoretical Analysis of Label Distribution Learning
Learning to Communicate and Solve Visual Blocks-World Tasks
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects
Learning from the Web: Extracting General World Knowledge from Noisy Text
A Multi-Path Compilation Approach to Contingent Planning
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning
Grouped Knowledge Distillation for Deep Face Recognition
Fast Learning of Temporal Action Proposal via Dense Boundary Generator
Multi-Speaker Video Dialog with Frame-Level Temporal Localization
Region Normalization for Image Inpainting
Motivated Value Selection for Artificial Agents
Machine Learning of Generic and User-Focused Summarization
Human-in-the-Loop Feature Selection
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation
Efficient 3D Recognition with Event-driven Spike Sparse Convolution
Efficient Robust Music Genre Classification with Depthwise Separable Convolutions and Source Separation
Fine-Grained Distillation for Long Document Retrieval
Learning to Manipulate Artistic Images
Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning
Understanding Surprising Generalization Phenomena in Deep Learning
Differentially Private Decomposable Submodular Maximization
RankCut - A Domain Independent Forward Pruning Method for Games
FedLF: Layer-Wise Fair Federated Learning
Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Finding Related Pages Using Green Measures: An Illustration with Wikipedia
Constraint Programming for Data Mining and Machine Learning
A Framework for Approaching AI Education in Educator Preparation Programs
A BDD-Based Polytime Algorithm for Cost-Bounded Interactive Configuration
Learning Ultrametric Trees for Optimal Transport Regression
An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria
Decoding Wikipedia Categories for Knowledge Acquisition
InSitu: An Approach for Dynamic Context Labeling Based on Product Usage and Sound Analysis
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Robust Discrete Matrix Completion
Fine-Grained Machine Teaching with Attention Modeling
CollabMap: Augmenting Maps Using the Wisdom of Crowds
Decoupled Contrastive Learning for Long-Tailed Recognition
Use of Expert Knowledge for Decision Tree Pruning
Transductive Learning on Adaptive Graphs
Diagnosing Analogue Linear Systems Using Dynamic Topological Reconfiguration
Certified Trustworthiness in the Era of Large Language Models
ReCognition and Critiquing of Erroneous Agent Actions
Sparse Perceptron Decision Tree for Millions of Dimensions
Competition, Alignment, and Equilibria in Digital Marketplaces
DeepTutor: An Effective, Online Intelligent Tutoring System That Promotes Deep Learning
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data
Reusing Previously Found A* Paths for Fast Goal-Directed Navigation in Dynamic Terrain
Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition
Personalized Microblog Sentiment Classification via Multi-Task Learning
Solving Large Sustainable Supply Chain Networks Using Variational Inequalities
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
Consistency Regularization for Adversarial Robustness
Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning
Multi-Task Deep Learning for User Intention Understanding in Speech Interaction Systems
Neural Character-level Dependency Parsing for Chinese
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
Dynamic Spiking Graph Neural Networks
The Re-Representation Problem in a Logic-Based Framework for Analogy Making
Progressive Negotiation for Resolving Conflicts among Distributed Heterogeneous Cooperating Agents
Pinwheel-shaped Convolution and Scale-based Dynamic Loss for Infrared Small Target Detection
Multiagent Simple Temporal Problem: The Arc-Consistency Approach
Supporting Performance and Configuration Management of GTE Cellular Networks
Model-Checking for Ability-Based Logics with Constrained Plans
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Deceptive Decision-Making under Uncertainty
Efficient and Robust Reinforcement Learning from Human Feedback
EWLS: A New Local Search for Minimum Vertex Cover
LR-XFL: Logical Reasoning-Based Explainable Federated Learning
Learning Part Generation and Assembly for Structure-Aware Shape Synthesis
LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning
Information Extraction with HMM Structures Learned by Stochastic Optimization
patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds
Planning with Problems Requiring Temporal Coordination
MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation
Action Language BC+: Preliminary Report
Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models
Wavelet Statistics for Human Motion Classification
Stochastic Local Search for Satisfiability Modulo Theories
Proximal PanNet: A Model-Based Deep Network for Pansharpening
DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs
Solving Geometric Constraint Systems
Towards Fluid Machine Intelligence: Can We Make a Gifted AI?
Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series
Diagnosis Via Causal Reasoning: Paths of Interaction and the Locality Principle
OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection
Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization
Planning with Multi-Valued Landmarks
Semi-supervised Learning with Support Isolation by Small-Paced Self-Training
Just Add Functions: A Neural-Symbolic Language Model
Look-Ahead with Mini-Bucket Heuristics for MPE
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
Fairness in Forecasting and Learning Linear Dynamical Systems
A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation
Evolutionary and Lifetime Learning in Varying NK Fitness Landscape Changing Environments: An Analysis of Both Fitness and Diversity
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation
Physical-aware Neural Radiance Fields for Efficient Exposure Correction
ELLA-V: Stable Neural Codec Language Modeling with Alignment-Guided Sequence Reordering
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract)
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
Inductive Logic Programming: Challenges
Surface Constraints From Linear Extents
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables
Relating the Structure of a Problem and Its Explanation
Incentivising Monitoring in Open Normative Systems
CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation
A Solution Alternative to Achieve Parcel Connectivity in the Dynamic Reserve Design Problem
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
Continuous Trajectory Generation Based on Two-Stage GAN
Efficient Residual Dense Block Search for Image Super-Resolution
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Influence Maximization for Social Network Based Substance Abuse Prevention
Action-Based Autonomous Grounding
Expressing Probabilistic Graphical Models in RCC
Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation
Loss-Calibrated Monte Carlo Action Selection
Approximate Kernel Selection with Strong Approximate Consistency
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback
Neural Response Generation With Dynamic Vocabularies
A Theory of Plan Modification
Ceding Control: Empowering Remote Participants in Meetings involving Smart Conference Rooms
DetRF: Detachable Novel Views Synthesis of Dynamic Scenes Using Backdrop-Driven Neural Radiance Fields
High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation
Error Identification and Correction in Human Computation: Lessons from the WPA
Interactive Concept Bottleneck Models
Data-Driven Discovery of Design Specifications (Student Abstract)
SpeechWeb: A Web of Natural-Language Speech Applications
Recognising Multidimensional Euclidean Preferences
Estimating Regression Predictive Distributions with Sample Networks
High-Confidence Off-Policy (or Counterfactual) Variance Estimation
Unmasking the Mask - Evaluating Social Biases in Masked Language Models
Dynamic Adaptation and Opponent Exploitation in Computer Poker
Unsupervised Learning and Interactive Jazz/Blues Improvisation
PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer
Conditioning in First-Order Knowledge Compilation and Lifted Probabilistic Inference
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!
Price of Fairness in Budget Division and Probabilistic Social Choice
Human Interpretable Virtual Metrology in the Semiconductor Manufacturing
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
Heuristic Black-Box Adversarial Attacks on Video Recognition Models
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning
Alternating Language Modeling for Cross-Lingual Pre-Training
Latent Dirichlet Allocation for Internet Price War
Generalising without Forgetting for Lifelong Person Re-Identification
Lift-Based Bidding in Ad Selection
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction
Entropic Causal Inference
On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks
Visual Contextual Advertising: Bringing Textual Advertisements to Images
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
HVDualformer: Histogram-Vision Dual Transformer for White Balance
Autonomous Mobile Robot Control and Learning with the PELEA Architecture
FLP Semantics Without Circular Justifications for General Logic Programs
Invited Speakers
Failure Handling In a Planning Framework
IMPULSE: A Display Oriented Editor for STROBE
Unsupervised Domain Adaptive Person Search via Dual Self-Calibration
Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce
Ballot Length in Instant Runoff Voting
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
Learning to Suggest Questions in Online Forums
Constructing Domain-Specific Search Engines With No Programming
BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition
A Space-Time Tradeoff for Memory-Based Heuristics
On the Difficulty of Achieving Equilibrium in Interactive POMDPs
Rules for the Implicit Acquisition of Knowledge about the User
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)
Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLM
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract)
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning
Imputation, Social Choice, and Partial Preferences
A Logic of Emotions for Intelligent Agents
Classifying Texts Using Relevancy Signatures
Learning Conjunctive Concepts in Structural Domains
Adaptive Search by Explanation-Based Learning of Heuristic Censors
Multi-Stage Multi-Task Learning with Reduced Rank
A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract)
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract)
Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model
SUNNY: A New Algorithm for Trust Inference in Social Networks Using Probabilistic Confidence Models
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems
Adversarial Framing for Image and Video Classification
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control
Toward a Semantics for an Agent Communications Language Based on Speech-Acts
Truth Maintenance
Collaborative Autonomy through Analogical Comic Graphs
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval
A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract)
Single Camera Training for Person Re-Identification
Joint and LPA*: Combination of Approximation and Search
Intelligent Planning for Large-Scale Multi-Robot Coordination
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction
VERSE: Verification-based Self-Play for Code Instructions
Text-Guided Attention Model for Image Captioning
Tensorized Incomplete Multi-View Clustering with Intrinsic Graph Completion
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen
Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
A Feasibility Test on Preventing PRMDs Based on Deep Learning
New Lower Bound for the Minimum Sum Coloring Problem
Loop Estimator for Discounted Values in Markov Reward Processes
Events, Interest, Segmentation, Binding and Hierarchy
Dominance Testing via Model Checking
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds
Attention Correctness in Neural Image Captioning
Rethinking Data-Free Quantization as a Zero-Sum Game
Propagating Temporal Constraints for Scheduling
From Duels to Battlefields: Computing Equilibria of Blotto and Other Games
Partial Compilation of Strategic Knowledge
A Study of Educational Data Mining: Evidence from a Thai University
Adaptive Verifiable Training Using Pairwise Class Similarity
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
Similitude-Invariant Pattern Recognition Using Parallel Distributed Processing
Robust Visual Tracking via Local-Global Correlation Filter
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
Functional Value Iteration for Decision-Theoretic Planning with General Utility Functions
Deep Region Hashing for Generic Instance Search from Images
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks
Hybrid Model-Based Diagnosis of Web Service Compositions
Team-Aware Multirobot Strategy for Cooperative Path Clearing
Learning Graphical Model Structure Using L1-Regularization Paths
Using Structural Motifs for Learning Markov Logic Networks
Towards Using Discrete Multiagent Pathfinding to Address Continuous Problems
Predictability Versus Responsiveness: Coordinating Problem Solvers in Dynamic Domains
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media
A Parallelizable Acceleration Framework for Packing Linear Programs
Automatic Parameterization of Automation Software for Plug-and-Produce
Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference
A Generalized Language Model in Tensor Space
Learning a Cost Function for Interactive Microscope Image Segmentation
Generating Inference-Rich Discourse Through Revisions of RST-Trees
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
Solving Uncertain MDPs by Reusing State Information and Plans
What's Hot in the Answer Set Programming Competition
Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs
Temporal Preference Optimization as Weighted Constraint Satisfaction
Refining Rules Incorporated into Knowledge-Based Support Vector Learners Via Successive Linear Programming
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting
Discovering Symmetries of ODEs by Symbolic Regression
Fact-Aware Sentence Split and Rephrase with Permutation Invariant Training
Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
Spatial Representation and Reasoning for Human-Robot Collaboration
Generalized Class Discovery in Instance Segmentation
Generalized Equivariance and Preferential Labeling for GNN Node Classification
Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract)
The Symbolic Interior Point Method
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views
Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation
SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph
Multi-Task Learning in Square Integrable Space
A Generalized Query Framework for Geospatial Reasoning
Non-Parametric Approximate Linear Programming for MDPs
Large-State Reinforcement Learning for Hyper-Heuristics
Belief Maintenance in Dynamic Constraint Networks
Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching
Counterfactual Reasoning with Direct Models
Information Acquisition Under Resource Limitations in a Noisy Environment
Exploiting the Deep Structure of Constraint Satisfaction Problems with Quantum Computers
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning
Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning
Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract)
Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces
The Role of Over-Parameterization in Machine Learning - the Good, the Bad, the Ugly
Learning Word Vectors Efficiently Using Shared Representations and Document Representations
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions
Efficient Reasoning in Qualitative Probabilistic Networks
Learning Sparse Sharing Architectures for Multiple Tasks
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation
Searching for Stable Mechanisms: Automated Design for Imperfect Players
Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK
A New Bounding Scheme for Influence Diagrams
An Integral Tag Recommendation Model for Textual Content
SPACETIME: Causal Discovery from Non-Stationary Time Series
Generalising Planning Environment Redesign
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts
Behavior Acquisition and Classification: A Case Study in Robotic Soccer
Leaping through Time with Gradient-Based Adaptation for Recommendation
Structural Patterns Beyond Forks: Extending the Complexity Boundaries of Classical Planning
Default Logic, Propositional Logic, and Constraints
Global Attribute-Association Pattern Aggregation for Graph Fraud Detection
Exploiting a Domain Model in an Expert Spectral Analysis Program
Handling Uncertainty in Answer Set Programming
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving
Acronym Expander at SDU@AAAI-21: an Acronym Disambiguation Module
Reasoning in the Presence of Inconsistency
Introspective Reasoning in a Case-Based Planner
Sanity Checks for Saliency Metrics
Temporally Expressive Planning Based on Answer Set Programming with Constraints
TdAttenMix: Top-Down Attention Guided Mixup
Music Speaks in Emotions
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction
Processing Entailments and Accessing Facts in a Uniform Frame System
An Improved Incremental Algorithm for Generating Prime Implicates
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits
Dynamic Constraint Satisfaction Problems
On Equivalence and Inconsistency of Answer Set Programs with External Sources
Manipulation-Robust Selection of Citizens' Assemblies
Using AI Techniques in a Serious Game for Socio-Moral Reasoning Development
Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification
Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification
Hidden Trigger Backdoor Attacks
Subset Approximation of Pareto Regions with Bi-objective A
Association Rule Hiding Based on Evolutionary Multi-Objective Optimization by Removing Items
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples
Ungreedy Methods for Chinese Deterministic Dependency Parsing
Integrating Equivalency Reasoning into Davis-Putnam Procedure
Summarizing Stream Data for Memory-Constrained Online Continual Learning
FANDA: A Novel Approach to Perform Follow-Up Query Analysis
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
A Multifrontal QR Factorization Approach to Distributed Inference Applied to Multirobot Localization and Mapping
Computing Default Logic Extensions: An Implementation
Data Augmented Graph Neural Networks for Personality Detection
Spectral-Based Graph Neural Networks for Complementary Item Recommendation
Epistemic Specifications and Conformant Planning
Counting-Based Search for Constraint Optimization Problems
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning