yusuke1997/dblp-id-title huggingface dataset:
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics
Linear Time Near-Optimal Planning in the Blocks World
AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis
Evaluating Index-based Treatment Allocation in Underresourced Communities
Learning Names for RFID-Tagged Objects in Activity Videos
Deconstructed Generation-Based Zero-Shot Model
CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets
A Hybrid Approach to Domino Portrait Generation
A Topic-Based Coherence Model for Statistical Machine Translation
Incremental Nyström-based Multiple Kernel Clustering
The Composite Decision Process: A Unifying Formulation for Heuristic Search, Dynamic Programming and Branch & Bound Procedures
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
Observations on Cognitive Judgments
Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
Joint Demosaicing and Denoising for Spike Camera
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions
Nonstationary Gaussian Process Regression for Evaluating Repeated Clinical Laboratory Tests
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency
Using Domain Knowledge to Enhance Deep Learning for Emotional Intelligence
Working Memory-Driven Neural Networks with a Novel Knowledge Enhancement Paradigm for Implicit Discourse Relation Recognition
Regularized Wasserstein Means for Aligning Distributional Data
Self-Decoupling and Ensemble Distillation for Efficient Segmentation
Shadow Stereo-Locating Object Boundaries Using Shadows
Perpetual Learning for Non-Cooperative Multiple Agents
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification
Utilizing Social Media to Combat Opioid Addiction Epidemic: Automatic Detection of Opioid Users from Twitter
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks
Stable Closures, Defeasible Logic and Contradiction Tolerant Reasoning
A Game-Theoretic Approach to Influence in Networks
Salient Object Detection via Objectness Proposals
Spectrum-Based Sequential Diagnosis
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
The P-Systems: A Systematic Classification of Logics of Nonmonotonicity
Agent Behavior Prediction and Its Generalization Analysis
District-Fair Participatory Budgeting
SAT-Based Explicit LTLf Satisfiability Checking
Achieving Sustainable Cooperation in Generalized Prisoner's Dilemma with Observation Errors
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships
A Method for Development of Dialogue Managers for Natural Language Interfaces
Reacting to Agreement and Error in Spoken Dialogue Systems Using Degrees of Groundedness
Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data
A Closed Form Solution to Multi-View Low-Rank Regression
DropMessage: Unifying Random Dropping for Graph Neural Networks
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration
Text Classification by Labeling Words
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
A Formal Methodology for Verifying Situated Agents
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences
Hiding in Multilayer Networks
Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning
MUN: Image Forgery Localization Based on M³ Encoder and UN Decoder
A Probabilistic Model of Plan Recognition
MAX-2-SAT: How Good Is Tabu Search in the Worst-Case?
A Supervised Sparse Learning Framework to Solve EEG Inverse Problem for Discriminative Activations Pattern
Marginalized Denoising for Link Prediction and Multi-Label Learning
Non-IID Transfer Learning on Graphs
DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer
Fast Equilibrium Computation for Infinitely Repeated Games
Optimizing Energy Costs in a Zinc and Lead Mine
AttnMove: History Enhanced Trajectory Recovery via Attentional Network
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)
Uncovering Response Biases in Recommendation
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving
Optimizing Binary Decision Diagrams with MaxSAT for Classification
Spherical Criteria for Fast and Accurate 360° Object Detection
Dynamic Pricing with Volume Discounts in Online Settings
Removing Redundancies in Constraint Networks
A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths
Hansel: Output Length Controlling Framework for Large Language Models
Exploring Salient Object Detection with Adder Neural Networks
On the Performance of Lazy Matching in Production Systems
Learning Term Embeddings for Lexical Taxonomies
Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning
Using Convolutional Neural Networks to Analyze Function Properties from Images
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
CrowdMR: Integrating Crowdsourcing with MapReduce for AI-Hard Problems
Keyword Extraction and Headline Generation Using Novel Word Features
Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games
Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation
Learning Relative Similarity by Stochastic Dual Coordinate Ascent
Relation Extraction from Wikipedia Using Subtree Mining
A Machine Learning Approach for Semantic Structuring of Scientific Charts in Scholarly Documents
Dictionary Learning with Mutually Reinforcing Group-Graph Structures
A Color Interest Operator for Landmark-Based Navigation
Exploiting Behavioral Consistence for Universal User Representation
HARP: Hierarchical Representation Learning for Networks
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference
Not All Attention Is Needed: Gated Attention Network for Sequence Data
A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification
Planning for Operational Control Systems with Predictable Exogenous Events
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction
Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination
Deep Incomplete Multi-View Learning Network with Insufficient Label Information
Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models
Mono3DVG: 3D Visual Grounding in Monocular Images
Improving Hierarchical Planning Performance by the Use of Landmarks
Self-Paced Multi-Task Learning
Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera
Face Behind Makeup
Automated Action Planning for Autonomous Mobile Robots, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 7, 2011
Fastened CROWN: Tightened Neural Network Robustness Certificates
Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance
Probabilistic Programs as an Action Description Language
A Look at Parsing and Its Applications
Submodular Surrogates for Value of Information
SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features
Learning Logic Programs by Discovering Where Not to Search
Non-Compensatory Psychological Models for Recommender Systems
Testing Independence Between Linear Combinations for Causal Discovery
Node and Arc Consistency in Weighted CSP
Stable Adversarial Learning under Distributional Shifts
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation
Reinforcement Learning Via Practice and Critique Advice
Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches
Manifold Denoising as Preprocessing for Finding Natural Representations of Data
VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval
Feature Generation for Sequence Categorization
Improving Consensus Accuracy via Z-Score and Weighted Voting
Gifting in Multi-Agent Reinforcement Learning (Student Abstract)
A Tool for Achieving Consensus in Knowledge Representation
Identifying Offensive Content in Social Media Posts
Interactive Decision Theory and Game Theory, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 8, 2011
Embedding Tarskian Semantics in Vector Spaces
A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract)
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
Sustainability of Data Center Digital Twins with Reinforcement Learning
Learning Tractable Graphical Models Using Mixture of Arithmetic Circuits
Primitive-Based 3D Human-Object Interaction Modelling and Programming
AI as Evaluator: Search Driven Playtesting of Modern Board Games
Enhancing Training of Spiking Neural Network with Stochastic Latency
Bayesian Federated Neural Matching That Completes Full Information
The Use of Qualitative and Quantitative Simulations
Approximate Inference in Probabilistic Graphical Models with Determinism
Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation Framework
Augmented Commonsense Knowledge for Remote Object Grounding
Exploiting a Theory of Phase Transitions in Three-Satisfiability Problems
Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search
Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling
AudioGenX: Explainability on Text-to-Audio Generative Models
Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives
A Vehicle Routing System to Solve a Periodic Vehicle Routing Problem for a Food Chain in Hong Kong
Generating Coordinated Natural Language and 3D Animations for Complex Spatial Explanations
Context Management Framework and Context Representation for MNO
A Logic Based Approach to Answering Questions about Alternatives in DIY Domains
Robust Data Programming with Precision-guided Labeling Functions
Two Visual Strategies for Solving the Raven's Progressive Matrices Intelligence Test
Strategic Manipulation in Temporal Voting with Undesirable Candidates (Student Abstract)
Learning Knowledge Representation Across Knowledge Graphs
Accelerating the Global Aggregation of Local Explanations
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
Egocentric Video Search via Physical Interactions
Learning Structured Representation for Text Classification via Reinforcement Learning
Hierarchically and Cooperatively Learning Traffic Signal Control
SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning
Text Gestalt: Stroke-Aware Scene Text Image Super-resolution
The Inter-batch Diversity of Samples in Experience Replay for Continual Learning
Interactively Learning a Blend of Goal-Based and Procedural Tasks
Learning Abstract Task Representations
A Framework for Comparing Alternative Formalisms for Plausible Reasoning
Identifying Terrorist Activity with AI Plan Recognition Technology
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training
A Comprehensive Augmentation Framework for Anomaly Detection
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
Efficient Folded Attention for Medical Image Reconstruction and Segmentation
Planning from First Principles for Geometric Constraint Satisfaction
Optimizing Bag Features for Multiple-Instance Retrieval
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement
Sequential Decision Making with Rank Dependent Utility: A Minimax Regret Approach
Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields
A New Algorithm for Generating Equilibria in Massive Zero-Sum Games
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Opponent Hand Estimation in the Game of Gin Rummy
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
Few Shot Transfer Learning BetweenWord Relatedness and Similarity Tasks Using A Gated Recurrent Siamese Network
Natural Language Generation for Text-to-Text Applications Using an Information-Slim Representation
Expanding the Boundaries of Health Informatics Using AI, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016
LOCATE Intelligent Systems Demonstration: Adapting Help to the Cognitive Styles of Users
CSP Properties for Quantified Constraints: Definitions and Complexity
Mitigating Negative Style Transfer in Hybrid Dialogue System
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
Learning Object Models from Appearance
Sustainable Building Design: A Challenge at the Intersection of Machine Learning and Design Optimization
Fast Online Incremental Learning on Mixture Streaming Data
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
Importance-Aware Learning for Neural Headline Editing
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples
CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition
The Winograd Schema Challenge: Evaluating Progress in Commonsense Reasoning
A Water Demand Prediction Model for Central Indiana
Benchmarking Ontology-Based Query Rewriting Systems
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation
Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
MU: A Development Environment for Prospective Reasoning Systems
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes
Deep Embedded Complementary and Interactive Information for Multi-View Classification
Controlling Elections by Replacing Candidates: Theoretical and Experimental Results
GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models
Variational Recurrent Neural Machine Translation
Accounting Mechanisms for Distributed Work Systems
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization
DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation
Gradient Temporal Difference with Momentum: Stability and Convergence
A Model Attention and Selection Framework for Estimation of Many Variables, with Applications to Estimating Object States in Large Spatial Environments
Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification
Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs
i-Parser: Interactive Parser Development Kit for Natural Language Processing
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability
Learning 10, 000 Chunks: What's It Like Out There?
Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing
Towards Inference Efficient Deep Ensemble Learning
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem
Structured Co-reference Graph Attention for Video-grounded Dialogue
STA: Spatio-Temporal Aggregation with Applications to Analysis of Diffusion-Reaction Phenomena
The Qualitative Difference Resolution Rule
TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings
Self-correcting Q-learning
Gradient-Based Inference for Networks with Output Constraints
Combining Knowledge and Search to Solve Single-Suit Bridge
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning
A Simple and Effective Unsupervised Word Segmentation Approach
On 2-SAT and Renamable Horn
User-Adaptive Visualizations: Can Gaze Data Tell Us When a User Needs Them?
A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields
Weakly-Supervised Hierarchical Text Classification
What are GANs?: Introducing Generative Adversarial Networks to Middle School Students
Unsupervised Learning with Contrastive Latent Variable Models
SCOPE: Scalable Composite Optimization for Learning on Spark
Point-Based POMDP Solving with Factored Value Function Approximation
Fraudulent Support Telephone Number Identification Based on Co-Occurrence Information on the Web
Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning
Handling Looping and Optional Actions in YAPPR
Team Member Reallocation via Tree Pruning
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
GenAL: Generative Agent for Adaptive Learning
Piecewise Linear Dynamic Programming for Constrained POMDPs
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis
Evolutionary Economic Agents
k-HyperEdge Medoids for Clustering Ensemble
Improving Word Embeddings with Convolutional Feature Learning and Subword Information
Applying General Induction Methods to the Card Game Eleusis
FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
Multi-Source Distilling Domain Adaptation
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting
Dynamic Goal Recognition Using Windowed Action Sequences
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding
Kriging Convolutional Networks
Deep Contextual Networks for Neuronal Structure Segmentation
Coalition Formation in Multi-defender Security Games
Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues
Performance of Bounded-Rational Agents With the Ability to Self-Modify
SALSA: Semantically-Aware Latent Space Autoencoder
Question-guided Insights Generation for Automated Exploratory Data Analysis
Controllable Image Captioning via Prompting
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement
Tiered Coalition Formation Game Stability and Simulation
A General Search-Based Framework for Generating Textual Counterfactual Explanations
Understood in Translation: Transformers for Domain Understanding
The Psychology of Semantic Spaces: Experiments with Positive Emotion (Student Abstract)
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract)
Leveraging Ontologies for Lifted Probabilistic Inference and Learning
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
BERT-ERC: Fine-Tuning BERT Is Enough for Emotion Recognition in Conversation
Ensemble Classification for Relational Domains
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
Developing a Framework for Team-Based Robotics Research
Overcoming Catastrophic Forgetting in Graph Neural Networks
NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement
Generalized Stochastic Matching
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias
Real-Time Self-Explanatory Simulation
Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Neuromorphic Event Signal-Driven Network for Video De-raining
Characterising Simulation-Based Program Equilibria
Adversarial Partial Multi-Label Learning with Label Disambiguation
KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints
Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains
When Radiology Report Generation Meets Knowledge Graph
Automatic Schema Acquisition in a Natural Language Environment
Image Captioning with Multi-Context Synthetic Data
Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking
Temperature Discovery Search
Learning (from) Deep Hierarchical Structure among Features
Boosting the Correspondence between Description Logics and Propositional Dynamic Logics
Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning
Symbolic Dynamic Programming for First-order POMDPs
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
Syskill & Webert: Identifying Interesting Web Sites
DiffSED: Sound Event Detection with Denoising Diffusion
Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs
Truthful Aggregation of Budget Proposals with Proportionality Guarantees
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling
Learning Expected Hitting Time Distance
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
Object-Aware Domain Generalization for Object Detection
Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering
Segmentation of Images Into Regions Using Edge Information
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos