yusuke1997/dblp-id-title huggingface dataset:
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
A Unifying Information-theoretic Perspective on Evaluating Generative Models
AI for Disaster Rapid Damage Assessment from Microblogs
DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval
Hostility Detection in Hindi Leveraging Pre-trained Language Models
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
Compositional Prototypical Networks for Few-Shot Classification
scMBERT: A Pre-Trained Deep Learning Model for Single-Cell Multiomic Data Representation and Prediction (Student Abstract)
Finding Exogenous Variation in Data
Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis
Decomposition of Domains Based on the Micro-Structure of Finite Constraint-Satisfaction Problems
Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos
Clementine: Colorado School of Mines - The Undergraduate Interdisciplinary Robotics Team
CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest
Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract)
Urban Security: Game-Theoretic Resource Allocation in Networked Domains
Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
Rank Maximal Equal Contribution: A Probabilistic Social Choice Function
Improving Surveillance Using Cooperative Target Observation
Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection
Exploring Safer Behaviors for Deep Reinforcement Learning
Minesweeper with Limited Moves
Partial Label Learning with Batch Label Correction
Robust PDF Document Conversion using Recurrent Neural Networks
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence
Obtaining Quantitative Predictions from Monotone Relationships
MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis
CGS-Mask: Making Time Series Predictions Intuitive for All
Elicitation for Aggregation
Stackelberg Planning: Towards Effective Leader-Follower State Space Search
Active Learning with Cross-Class Knowledge Transfer
Choices Without Backtracking
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
A Well-Founded Semantics for Basic Logic Programs with Arbitrary Abstract Constraint Atoms
Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception
AutoRemover: Automatic Object Removal for Autonomous Driving Videos
Learning While Searching in Constraint-Satisfaction-Problems
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization
Individual Representation in Approval-Based Committee Voting
Pairwise Exemplar Clustering
CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information
Rank3DGAN: Semantic Mesh Generation Using Relative Attributes
Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling
LAMS: A Location-aware Approach for Multimodal Summarization (Student Abstract)
Fast Transformation of Temporal Plans for Efficient Execution
Infinite Kernel Learning: Generalization Bounds and Algorithms
A Benchmark for Cooperative Learning Agents
WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption
Automated Question Answering System for Community-Based Questions
Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content
Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting
REVEALE: Reward Verification and Learning Using Explanations
Towards Modeling Threaded Discussions using Induced Ontology Knowledge
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
Leveled Commitment Contracts with Myopic and Strategic Agents
Topological Pooling on Graphs
Explainable Robot Navigation
Using Unsupervised Learning for Data-driven Procurement Demand Aggregation
Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution
Neural Networks Perform Sufficient Dimension Reduction
Basic Meanings of Spatial Relations: Computation and Evaluation in 3D Space
On Controlling the Size of Clusters in Probabilistic Clustering
Towards Automatically Extracting Story Graphs from Natural Language Stories
Educational Robotics in Brooklyn
Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video
Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information
Automatically Extracting Axioms in Classical Planning
What Is Going On: Utility-Based Plan Selection in BDI Agents
Recommendation with Social Dimensions
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset
Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game
Span Graph Transformer for Document-Level Named Entity Recognition
Ordinal Scale Evaluation of Smiling Intensity using Comparison-Based Network
GPTs at Factify 2022: Prompt Aided Fact-Verification (short paper)
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
Compilation Complexity of Multi-Winner Voting Rules (Student Abstract)
K-BERT: Enabling Language Representation with Knowledge Graph
Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling
Learning Intact Features by Erasing-Inpainting for Few-shot Classification
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, July 22-26, 2007, Vancouver, British Columbia, Canada
CoPL: Contextual Prompt Learning for Vision-Language Understanding
Geometry-Guided Domain Generalization for Monocular 3D Object Detection
Learn to Compress and Restore Sequential Data
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint)
Natural Option Critic
Understanding Learned Models by Identifying Important Features at the Right Resolution
Classification of Sparse Time Series via Supervised Matrix Factorization
Token Mixing: Parameter-Efficient Transfer Learning from Image-Language to Video-Language
Estimating Reaction Plan Size
Dual Quaternion Knowledge Graph Embeddings
Mining Heavy Temporal Subgraphs: Fast Algorithms and Applications
On-the-fly Synthesis for LTL over Finite Traces
Weighted Voting Via No-Regret Learning
Path-Specific Objectives for Safer Agent Incentives
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation
Efficient Unlearning for Spatio-temporal Graph (Student Abstract)
Knowledge-Based Spreadsheets
Exact Inference for Continuous-Time Gaussian Process Dynamics
Automated Team Analysis
Solving Hanabi: Estimating Hands by Opponent's Actions in Cooperative Game with Incomplete Information
CGD: Multi-View Clustering via Cross-View Graph Diffusion
Meta-Learning for Generalized Zero-Shot Learning
Improving Multi-Step Prediction of Learned Time Series Models
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search
Deep Mars: CNN Classification of Mars Imagery for the PDS Imaging Atlas
DDFlow: Learning Optical Flow with Unlabeled Data Distillation
Autonomous Skill Acquisition on a Mobile Manipulator
Variational Disentanglement for Rare Event Modeling
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
Two Perspectives on Learning Rich Representations from Robot Experience
Matrix Factorisation for Scalable Energy Breakdown
A Robust Planning Framework for Cognitive Robots
Maximum Model Counting
SteppingStone: An Empirical and Analytical Evaluation
Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis
LION: Implicit Vision Prompt Tuning
Show, Recall, and Tell: Image Captioning with Recall Mechanism
Advances in Lifted Importance Sampling
Abductive Planning with Sensing
Continuous Occupancy Mapping with Integral Kernels
Binary Embedding with Additive Homogeneous Kernels
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications
Online Metric Learning for Multi-Label Classification
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals
Automatic Group Sparse Coding
Integrative Biological Simulation, Neuropsychology, and AI Safety
Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation
Discriminating Among Word Meanings by Identifying Similar Contexts
What Sensing Tells Us: Towards a Formal Theory of Testing for Dynamical Systems
Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation
Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach
A Logic and Time Nets for Probabilistic Inference
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis
Harmonious Mobility for Robots that Work with and around People
Semi-supervised Review-Aware Rating Regression (Student Abstract)
Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions
Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem
Evaluating Ontology Cleaning
Query-Answering Algorithms for Information Agents
Private and Third-Party Randomization in Risk-Sensitive Equilibrium Concepts
Estimating Reduced Consumption for Dynamic Demand Response
HiSaRL: A Hierarchical Framework for Safe Reinforcement Learning
Adversarial Socialbots Modeling Based on Structural Information Principles
Unsupervised Learning for Lexicon-Based Classification
Abduction As Belief Revision: A Model of Preferred Explanations
FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text
Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools
Online Learning from Data Streams with Varying Feature Spaces
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection
FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly
Diagnostic Improvement through Qualitative Sensitivity Analysis and Aggregation
Social Attitudes of AI Rebellion: A Framework
Learning Generalized Temporal Abstractions across Both Action and Perception
Active Task Selection for Lifelong Machine Learning
Knowledge, Fairness, and Social Constraints
Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations
Bayesian Persuasion with Externalities: Exploiting Agent Types
Safe Multi-View Deep Classification
Progression Heuristics for Planning with Probabilistic LTL Constraints
Knowledge Compilation using Horn Approximations
Adversarial Fairness Network
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
Decoupling the Multiagent Disjunctive Temporal Problem
Learning Logic Programs Though Divide, Constrain, and Conquer
Reasoning about Multiple Faults
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface
Frame-Based Computer Network Monitoring
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)
A Model for Integrated Qualitative Spatial and Dynamic Reasoning about Physical Systems
When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?
Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations
The Cascade Auction - A Mechanism for Deterring Collusion in Auctions
Global-Semantic Alignment Distillation for Partial Multi-view Classification
Hierarchical Methods for a Unified Approach to Discourse, Domain, and Style in Neural Conversational Models
Dynamically Combining Syntax and Semantics in Natural Language Processing
Boosting Theory Towards Practice: Recent Developments in Decision Tree Induction and the Weak Learning Framework
High-Fidelity Polarimetric Implicit 3D Reconstruction with View-Dependent Physical Representation
Optimizing a Start-Stop Controller Using Policy Search
PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery
MatchU: An Interactive Matching Platform
Solar Power Generation Forecasting via Multimodal Feature Fusion (Student Abstract)
MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance
Knowledge Level Engineering Ontological Analysis
Upending the Uncanny Valley
From Kinematics to Shape: An Approach to Innovative Design
Extracting Verb Expressions Implying Negative Opinions
Context-Aware Transformer for 3D Point Cloud Automatic Annotation
ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding
Learning FRAME Models Using CNN Filters
SMT-based Safety Checking of Parameterized Multi-Agent Systems
Optimal Multi-Agent Scheduling with Constraint Programming
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
Dialogue Understanding in a Logic of Action and Belief
Learning Optimal Auctions with Correlated Value Distributions
AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos
Proposition Entailment in Educational Applications Using Deep Neural Networks
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition
KDMAS: A Multi-Agent System for Knowledge Discovery via Planning
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation
Multi-Order Attentive Ranking Model for Sequential Recommendation
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation
AGENT0: A Simple Agent Language and Its Interpreter
CPN: Complementary Proposal Network for Unconstrained Text Detection
Multiagent Chess Games
Optimizing Rules in Production System Programs
An SVM-Based Framework for Long-Term Learning Systems
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
What's Hot in Heuristic Search
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract)
Addressing Action Oscillations through Learning Policy Inertia
Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach
Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning
Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics
Occupancy Planes for Single-View RGB-D Human Reconstruction
Mimicking Behaviors in Separated Domains (Abstract Reprint)
Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, USA, January 27, 2019
Learning Compact Representations of Time-Varying Processes
Robust Decision Making for Stochastic Network Design
Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning
STEM: Unsupervised STructural EMbedding for Stance Detection
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
Identification of Causal Effects in the Presence of Selection Bias
A Decentralised Coordination Algorithm for Mobile Sensors
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
Attentive User-Engaged Adversarial Neural Network for Community Question Answering
A Multi-Agent Control Architecture for a Rescue Robot
Simulated Annealing Based Influence Maximization in Social Networks
Self-Supervised Representation Learning with Meta Comprehensive Regularization
Fine-Grained Retrieval Prompt Tuning
Reinforcement Learning for Relation Classification From Noisy Data
Interactive Narrative: A Novel Application of Artificial Intelligence for Computer Games
Improving Continuous-time Conflict Based Search
Towards Addressing Frontiers in Graph Generation
Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders
Supervised Hashing via Uncorrelated Component Analysis
Finding the k-best Equivalence Classes of Bayesian Network Structures for Model Averaging
Path Planning for Highly Redundant Manipulators Using a Continuous Model
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
When Robots Play Dice: The Flameless Fire - It's Never Been Easier to Burn Books
Quilt: Robust Data Segment Selection against Concept Drifts
Cognitive Deficit of Deep Learning in Numerosity
Point Cloud Processing via Recurrent Set Encoding
Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
Evolutionary Classifier Chain for Multi-Dimensional Classification
Learning from Interventions Using Hierarchical Policies for Safe Learning
Efficient Multi-Policy Evaluation for Reinforcement Learning
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data
In-game Residential Home Planning via Visual Context-aware Global Relation Learning
Learning More Expressive General Policies for Classical Planning Domains
PB-smodels a Pseudo-Boolean Solver
Question Utility: A Novel Static Ranking of Question Search
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks
Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract)
Few-Shot, No Problem: Descriptive Continual Relation Extraction
Probabilistic Planning With Influence Diagrams
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents
An Interpretable Generative Adversarial Approach to Classification of Latent Entity Relations in Unstructured Sentences
Substructure Assembling Network for Graph Classification
Evolution of Collective Fairness in Hybrid Populations of Humans and Agents
Discover Relevant Environment Feature Using Concurrent Reinforcement Learning
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering
LANCER: A Lifetime-Aware News Recommender System
PanoDiT: Panoramic Videos Generation with Diffusion Transformer
Belief Revision in a Deductively Open Belief Space
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
Panoramic Video Salient Object Detection with Ambisonic Audio Guidance
Plan Recognition for Exploratory Domains Using Interleaved Temporal Search
Efficiently Answering Technical Questions - A Knowledge Graph Approach
Old Resolution Meets Modern SLS
Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs
SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis
Exploring the KD45 Property of a Kripke Model After the Execution of an Action Sequence
Nurse Rostering at the Hospital Authority of Hong Kong
Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs
Incremental Configuration Space Construction for Mechanism Analysis
Not the Path to Perdition: The Utility of Similarity-Based Learning
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data
Learning Multi-Task Communication with Message Passing for Sequence Learning
Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination
Epistemic Bellman Operators
Location-Aware Graph Convolutional Networks for Video Question Answering
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
Real-Time Fashion-Guided Clothing Semantic Parsing: A Lightweight Multi-Scale Inception Neural Network and Benchmark
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning
Humans Perform Semi-Supervised Classification Too
EAT: Towards Long-Tailed Out-of-Distribution Detection
Multi-Channel Pyramid Person Matching Network for Person Re-Identification
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence
Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking
Moral Decision-Making by Analogy: Generalizations versus Exemplars
Corpus Wide Argument Mining - A Working Solution
Transformer-Based Unsupervised Learning for Early Detection of Sepsis (Student Abstract)
Efficient Optimization of Information-Theoretic Exploration in SLAM
On the Role of Server Momentum in Federated Learning
Robust MIL-Based Feature Template Learning for Object Tracking
Transformation-Equivariant 3D Object Detection for Autonomous Driving
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models
Theory of Cooperation in Complex Social Networks
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling
Accelerometer Based Self-Discovery of Multiple Link Kinematics
Social Intelligence towards Human-AI Teambuilding (Student Abstract)
Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions
Spatio-Temporal Signatures of User-Centric Data: How Similar Are We?
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer
SAT Encodings for Distance-Based Belief Merging Operators
Semi-attention Partition for Occluded Person Re-identification
Fast and Compact: A Simple Class of Congestion Games
Meta-Search Through the Space of Representations and Heuristics on a Problem by Problem Basis
Incentives for Subjective Evaluations with Private Beliefs
Revision by Conditional Beliefs
Radon - Rapid Discovery of Topological Relations
Parallel Belief Revision
ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation
James Bond and Michael Ovitz: The Secret Life of Agents
Social Rankings in Human-Computer Committees
Interfacing Issues for Information Extraction
Automatic Generation of Text Descriptive Comments for Code Blocks
Possibilistic Causal Networks for Handling Interventions: A New Propagation Algorithm
Terminological Reasoning in SHIQ with Ordered Binary Decision Diagrams
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures
Symmetry-Aware Transformer-Based Mirror Detection