yusuke1997/dblp-id-title huggingface dataset:
Distribution Adaptive INT8 Quantization for Training CNNs
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract)
Stochastic Loss Function
Exploring Artificial Intelligence Through Image Recognition
Indefinite Scalability for Living Computation
Accelerated Gradient Temporal Difference Learning
The SoftCumulative Constraint with Quadratic Penalty
The TheaterLoc Virtual Application
Simultaneous Elicitation of Preference Features and Utility
Symmetric Metric Learning with Adaptive Margin for Recommendation
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
Learning Chemical Rules of Retrosynthesis with Pre-training
Joint Inference for Extracting Text Descriptors from Triage Images of Mass Disaster Victims
Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract)
IBAS: Imperceptible Backdoor Attacks in Split Learning with Limited Information
Learning from Opportunities: Storing and Re-using Execution-Time Optimizations
Zero Stability Well Predicts Performance of Convolutional Neural Networks
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
Factorization in Experiment Generation
Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Hard and Easy Distributions of SAT Problems
Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis
MMPF: Multi-Modal Perception Framework for Abnormal Medical Condition Detection
Efficient Utility Functions for Ceteris Paribus Preferences
On Computing Maximal Subsets of Clauses that Must Be Satisfiable with Possibly Mutually-Contradictory Assumptive Contexts
GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering
Automatic Generation of Headlines for Online Math Questions
Expert System Technology for Nondestructive Waste Assay
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities
Multi-Scale Bidirectional FCN for Object Skeleton Extraction
On the Axiomatic Characterization of Runoff Voting Rules
FiLM: Visual Reasoning with a General Conditioning Layer
On the Expressivity of Recurrent Neural Cascades
Factorized Explainer for Graph Neural Networks
Context Aware Conversational Understanding for Intelligent Agents With a Screen
In Praise of Belief Bases: Doing Epistemic Logic Without Possible Worlds
Constraint Logic Programming for Real-World Test Laboratory Scheduling
Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks
Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement
Facts Do Not Cease to Exist Because They Are Ignored: Relativised Uniform Equivalence with Answer-Set Projection
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach
Enhancing Machine Translation Experiences with Multilingual Knowledge Graphs
Dual Deep Neural Networks Cross-Modal Hashing
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs
A General Offline Reinforcement Learning Framework for Interactive Recommendation
Learning Robust Search Strategies Using a Bandit-Based Approach
"Did I Say Something Wrong?": Towards a Safe Collaborative Chatbot
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts
Distributed Inexact Damped Newton Method: Data Partitioning and Work-Balancing
Knowledge Graph Transfer Network for Few-Shot Recognition
A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models
Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction
Supervised Contrastive Few-Shot Learning for High-Frequency Time Series
Unsupervised Reinforcement Learning in Multiple Environments
Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence
Logic Programs with Abstract Constraint Atoms
Proportional Representation in Metric Spaces and Low-Distortion Committee Selection
MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
The Option-Critic Architecture
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning
Search Space Reduction Using Swamp Hierarchies
Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation
Abstractive Text Summarization by Incorporating Reader Comments
Incremental Management of Oversubscribed Vehicle Schedules in Dynamic Dial-A-Ride Problems
Trust Models and Con-Man Agents: From Mathematical to Empirical Analysis
Multivariate Hawkes Processes for Large-Scale Inference
Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression
Ontology-Based Information Extraction with a Cognitive Agent
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation
Symbolic Dynamic Programming for Continuous State and Action MDPs
Dynamic MAP Calculations for Abduction
Local Causal Discovery Without Causal Sufficiency
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos
Heuristic Harvesting of Information for Case-Based Argument
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design
A Discourse Planning Approach to Cinematic Camera Control for Narratives in Virtual Environments
Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning
Inferring Nighttime Satellite Imagery from Human Mobility
DNIT: Enhancing Day-Night Image-to-Image Translation through Fine-Grained Feature Handling (Student Abstract)
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing
Composite Adversarial Attacks
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
Predicting the Hardness of Learning Bayesian Networks
Music-to-Facial Expressions: Emotion-Based Music Visualization for the Hearing Impaired
Genome Rearrangement: A Planning Approach
A Compact Model for Mathematics Problem Representations Distilled from BERT
Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
Debugging User Conceptions of Interpretation Processes
Partial Point Cloud Registration with Multi-view 2D Image Learning
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
Specific-to-General Learning for Temporal Events
Expert System Consultation Control Strategy
Identifying and Generating Easy Sets of Constraints for Clustering
Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation
Probabilistic Programming for Planning Problems
Bootstrapping Conversational Agents with Weak Supervision
HARK: Harshness-Aware Sentiment Analysis Framework for Product Review (Student Abstract)
High Performance Depthwise and Pointwise Convolutions on Mobile Devices
Misspecification in Inverse Reinforcement Learning
Parsing to Learn Fine Gralned Rules
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas
Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models
What Is Hot in CHI
Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory
Deep Attentive Ranking Networks for Learning to Order Sentences
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection
A Dynamic Organizational Architecture for Adaptive Problem Solving
Generalized Higher-Order Tensor Decomposition via Parallel ADMM
Improving Faithfulness in Abstractive Text Summarization with EDUs Using BART (Student Abstract)
Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition
Towards an AI Course Based on Neural Networks
Federated Graph Learning under Domain Shift with Generalizable Prototypes
Pedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach
Riemannian Local Mechanism for SPD Neural Networks
Sequence Labeling for Citation Field Extractionfrom Cyrillic Script References
A New Robust Subspace Recovery Algorithm (Student Abstract)
Interactive Learning Using Manifold Geometry
Nash Stability in Social Distance Games
Chain Length and CSPs Learnable with Few Queries
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing
Reinforcement Learning for CPG-Driven Biped Robot
A Meta-Programming Technique for Debugging Answer-Set Programs
Reciprocal Preference Model for Two Player Dilemma Games
Semantic Lens: Instance-Centric Semantic Alignment for Video Super-resolution
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation
Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions
Learning Partially Observable Action Models: Efficient Algorithms
Plan Recognition Design
Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning
SCOPE: Sign Language Contextual Processing with Embedding from LLMs
Efficient Computation of Emergent Equilibrium in Agent-Based Simulation
The Utility of Text: The Case of Amicus Briefs and the Supreme Court
Solving Crosswords with PROVERB
Best-First Search for Treewidth
Finding All Bayesian Network Structures within a Factor of Optimal
GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model
The Steiner Multigraph Problem: Wildlife Corridor Design for Multiple Species
Learning Image Demoiréing from Unpaired Real Data
Improving Community-Participated Patrol for Anti-Poaching
Algorithm Configuration Applied to Heuristics for Three-Dimensional Knapsack Problems in Air Cargo
HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract)
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features
Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering
Predicting Power Failures with Reactive Point Processes
Reasoning about Attribute Authenticity in a Web Environment
Analysis of C2 and "C2-Lite" Micro-Message Communications
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
A Bayesian Nonparametric Approach to Modeling Mobility Patterns
Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
Almost Unsupervised Learning for Dense Crowd Counting
Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces
Toward More Generalized Malicious URL Detection Models
Comprehensibility Improvement of Tabular Knowledge Bases
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion
Instance-Conditional Timescales of Decay for Non-Stationary Learning
Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection
Topics in Selective Classification
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data
Capturing Difficulty Expressions in Student Online Q&A Discussions
Converting Instance Checking to Subsumption: A Rethink for Object Queries over Practical Ontologies
Ties Matter: Complexity of Manipulation when Tie-Breaking with a Random Vote
Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks
Design Principles for Intelligent Environments
Estimating Calibrated Individualized Survival Curves with Deep Learning
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization
The Structural Affinity Method for Solving the Raven's Progressive Matrices Test for Intelligence
Modeling Temporal Tonal Relations in Polyphonic Music Through Deep Networks With a Novel Image-Based Representation
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques
Modeling Uplift from Observational Time-Series in Continual Scenarios
StoryQ - an Online Environment for Machine Learning of Text Classification
Dynamic Constraint-Based Planning in Trauma Management
Sparse Deep Transfer Learning for Convolutional Neural Network
Using Hindsight to Anchor Past Knowledge in Continual Learning
Abstraction and Refinement in Games with Dynamic Weighted Terrain
Toward a Generalization and a Reformulation of Goods in SAT - Preliminary Report
Rotational Diversity in Multi-Cycle Assignment Problems
Adaptive Dual Guidance Knowledge Distillation
Robust Collaborative Discriminative Learning for RGB-Infrared Tracking
Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis
Augmenting Math Word Problems via Iterative Question Composing
Automated Synthesis of Generalized Invariant Strategies via Counterexample-Guided Strategy Refinement
Learning Optimal Classification Trees Using a Binary Linear Program Formulation
Mining Sequential Patterns and Tree Patterns to Detect Erroneous Sentences
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution
Generating Adjectives to Express the Speaker's Argumentative Intent
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster
Fuzzy Irrigation Decision Support System
Active Learning of Multi-Class Classification Models from Ordered Class Sets
Unsupervised Feature Selection Using Nonnegative Spectral Analysis
Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal Logic
On Strictly Competitive Multi-Player Games
SeqRank: Sequential Ranking of Salient Objects
Piction: A System That Uses Captions to Label Human Faces in Newspaper Photographs
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
Bilateral k-Means Algorithm for Fast Co-Clustering
Counterfactual Fairness Is Basically Demographic Parity
Computational Urban Modeling: From Mainframes to Data Streams
Price Evolution in a Continuous Double Auction Prediction Market With a Scoring-Rule Based Market Maker
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start"
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
Performance of IDA on Trees and Graphs
Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera
Multi-concept Model Immunization through Differentiable Model Merging
Learning Collaborative Impedance-Based Robot Behaviors
Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets
Detection of Digital Manipulation in Facial Images (Student Abstract)
BERTKG-DDI: Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions
Imitation Learning Backoff: Reinforcement Learning-based Channel Access for Guaranteeing Fairness (Student Abstract)
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
A Theory of Reading
Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective
Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract)
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning
Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation
AuthNet: A Deep Learning Based Authentication Mechanism Using Temporal Facial Feature Movements (Student Abstract)
Learning to Answer Questions from Image Using Convolutional Neural Network
Enabling Semantic Understanding of Situations from Contextual Data In A Privacy-Sensitive Manner
Automated Symbolic Law Discovery: A Computer Vision Approach
A Decision-Support System for Quote Generation
Continual Vision-Language Retrieval via Dynamic Knowledge Rectification
Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework
Discriminative Training of Markov Logic Networks
Collaborative Filtering With User-Item Co-Autoregressive Models
Ready or Not, Here I Come ...
Efficient Learning of Action Schemas and Web-Service Descriptions
Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-Driven Approach
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Utilizing Landmarks in Euclidean Heuristics for Optimal Planning
Solving Multiagent Path Finding on Highly Centralized Networks
Agents Modeling Agents in Information Economies
Multi-Spectral Vehicle Re-Identification: A Challenge
Decidability of Contextual Reasoning
Qualitative Reasoning at Multiple Resolutions
Simultaneous Influencing and Mapping for Health Interventions
Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection
A Reinforcement Learning Framework for Combinatorial Optimization
Finding Ontological Correspondences for a Domain-Independent Natural Language Dialog Agent
Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract)
Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming
DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization
An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data
Towards Coordinated Temporal Multimedia Presentations
Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs
Analysis of Strategic Knowledge in Back of the Envelope Reasoning
Learning to Generate Context-Sensitive Backchannel Smiles for Embodied AI Agents with Applications in Mental Health Dialogues
Emoticon Smoothed Language Models for Twitter Sentiment Analysis
Editorial for the 4th Workshop on Affective Content Analysis (AffCon) at AAAI 2021
Physical Search Problems Applying Economic Search Models
Waffler: A Constraint-Directed Approach to Intelligent Agent Design
Enumerating Maximal k -Plexes with Worst-Case Time Guarantee
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes
Combinatorial Stochastic-Greedy Bandit
The Logic of Persistence
Domain Agnostic Real-Valued Specificity Prediction
Exposing Parameters of a Trained Dynamic Model for Interactive Music Creation
BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers
Plug-and-Play Tri-Branch Invertible Block for Image Rescaling
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales
Behaviour Preference Regression for Offline Reinforcement Learning
A Comparative Study of Ranking-Based Semantics for Abstract Argumentation
Information Directed Sampling for Stochastic Bandits With Graph Feedback
Modeling and Experimentation Framework for Fuzzy Cognitive Maps
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling
DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue
Solving Sum-of-Costs Multi-Agent Pathfinding with Answer-Set Programming
Envy-Free Cake-Cutting in Two Dimensions
Diagnosis of Discrete-Event Systems Using Satisfiability Algorithms
On Elementary Loops and Proper Loops for Disjunctive Logic Programs
SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification
Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion Attacks
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
Inference-Based Constraint Satisfaction Supports Explanation
The Representation of Events in Multiagent Domains
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment
CSR: Achieving 1 Bit Key-Value Cache via Sparse Representation
Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract)
LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents
Optimal Approximation of Random Variables for Estimating the Probability of Meeting a Plan Deadline
Online Learning of Uneven Terrain for Humanoid Bipedal Walking
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
Generalization Analysis for Ranking Using Integral Operator
Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning
PROMPTDIFF: A Fixed-Point Algorithm for Comparing Ontology Versions
Mixture of Experts as Representation Learner for Deep Multi-View Clustering
DCV2I: A Practical Approach for Supporting Geographers' Visual Interpretation in Dune Segmentation with Deep Vision Models
Posterior Probability Profiles for the Automated Assessment of the Recovery of Stroke Patients
A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling
Robust Formulation for PCA: Avoiding Mean Calculation With L 2, p -norm Maximization
Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age
ALOHA: Artificial Learning of Human Attributes for Dialogue Agents
Learning Hybrid Dynamics Models with Simulator-Informed Latent States
Quantum-Inspired Neural Network with Runge-Kutta Method
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
The Role of Context in Head Gesture Recognition
Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering
Neural Approaches to Blind Separation and Cumulant Analysis and Its Application to Diagnostics of Nuclear Power Plants
Differential Alignment for Domain Adaptive Object Detection
Synthesis of Reactive Plans for Multi-Path Environments
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract)
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation
A Unified Bayesian Model of Scripts, Frames and Language
Trigger3: Refining Query Correction via Adaptive Model Selector
On the Consideration of AI Openness: Can Good Intent Be Abused?
Improving Deep Reinforcement Learning with Knowledge Transfer