yusuke1997/dblp-id-title huggingface dataset:
Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection
Polynomial Optimization Methods for Matrix Factorization
Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities
Using Bisimulation for Policy Transfer in MDPs
3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling
Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation
A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation
Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract)
PSG: Prompt-based Sequence Generation for Acronym Extraction
Learning Semantic Grammars with Constructive Inductive Logic Programming
Constraint-based integrity checking in abductive and non-monotonic extensions of constraint logic programming
Logic Morphisms as a Framework for Backward Transfer of Lemmas and Strategies in Some Modal and Epistemic Logics
Data Augmentation for Graph Neural Networks
A Model of Winners Allocation
The Role of Data Reprocessing in Complex Acoustic Environments
Optimal Attack against Autoregressive Models by Manipulating the Environment
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit
Lexical Simplification with Pretrained Encoders
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
Some Applications of Graph Bandwidth to Constraint Satisfaction Problems
Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies
Zero-Shot Neural Transfer for Cross-Lingual Entity Linking
Multi-Question Learning for Visual Question Answering
Situation Awareness with the Limited Visual Attention
On the Expressivity of ASK Queries in SPARQL
Initial Assessment of Architectures for Production Systems
Modal Ranking: A Uniquely Robust Voting Rule
Change Detection in Heuristic Search
When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty
An Expert System for Recognition of Facial Actions and their Intensity
An Experiment in Direct Knowledge Acquisition
Goal-based Generation of Motivational Expressions in a Learning Environment
Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs (Student Abstract)
Beyond Independent Agreement: A Tournament Selection Approach for Quality Assurance of Human Computation Tasks
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection
Robust Graph-Based Multi-View Clustering
Attribute-Based Progressive Fusion Network for RGBT Tracking
CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation
Introducing the Tileworld: Experimentally Evaluating Agent Architectures
Making the Difference in Semantic Web Service Composition
Toward Realistic Virtual Try-on Through Landmark Guided Shape Matching
Complex Task Learning from Unstructured Demonstrations
Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates
Extracting Information Types from Android Layout Code Using Sequence to Sequence Learning
Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning
Automatic Aspect-Based Sentiment Analysis (AABSA) from Customer Reviews
Double Configuration Checking in Stochastic Local Search for Satisfiability
Conflict-Based Belief Revision Operators in Possibilistic Logic
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
Tackling the Infodemic: Analysis Using Transformer Based Models
Autonomous Hierarchical POMDP Planning from Low-Level Sensors
Towards Sentence-Level Brain Decoding with Distributed Representations
Partial Multi-View Clustering via Self-Supervised Network
Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning
Placement of Loading Stations for Electric Vehicles: No Detours Necessary!
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding
Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis
Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower Expansion
Iterative Broadening
Inverse Reinforcement Learning Based Human Behavior Modeling for Goal Recognition in Dynamic Local Network Interdiction
Bayes Networks for Estimating the Number of Solutions to a CSP
Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games
A Generative Adversarial Framework for Bounding Confounded Causal Effects
Patch Diffusion: A General Module for Face Manipulation Detection
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
Qualitative Spatial Interpretation of Course-of-Action Diagrams
Toward a Learning of Object Models Using Analogical Objects and Verbal Instruction
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Towards Personalized Review Summarization via User-Aware Sequence Network
A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles
Inverse Weight-Balancing for Deep Long-Tailed Learning
Discriminative Adversarial Domain Adaptation
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
In-Game Toxic Language Detection: Shared Task and Attention Residuals (Student Abstract)
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
Learning to Imagine: Distillation-Based Interactive Context Exploitation for Dialogue State Tracking
Two Algorithms for the Movements of Robotic Bodyguard Teams
Evaluating Explanations
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues
Learning Predictable and Discriminative Attributes for Visual Recognition
EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion
Discretizing Continuous Action Space for On-Policy Optimization
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
Propagating Regular Counting Constraints
Transfer Learning for Traffic Speed Prediction: A Preliminary Study
Accurate and Regret-Aware Numerical Problem Solver for Tabular Question Answering
Integrating Visual Information Across Camera Movements with a Visual-Motor Calibration Map
Balanced Sparsity for Efficient DNN Inference on GPU
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
Temporal Numeric Planning with Patterns
Dress Fashionably: Learn Fashion Collocation With Deep Mixed-Category Metric Learning
The Complexity of Subelection Isomorphism Problems
Towards Efficient Dominant Relationship Exploration of the Product Items on the Web
Real-Time Driver-Request Assignment in Ridesourcing
An Operational Semantics for Knowledge Bases
Tunable Sensitivity to Large Errors in Neural Network Training
AI Snap! Blocks for Speech Input and Output, Computer Vision, Word Embeddings, and Neural Net Creation, Training, and Use
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
Identifying Hierarchies for Fast Optimal Search
Hawkes Process Inference With Missing Data
Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection
Document Informed Neural Autoregressive Topic Models with Distributional Prior
Toward Efficient Data-Free Unlearning
Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract)
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
What's Hot at RoboCup
Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing
A New Method for Conflict Detection and Resolution in Air Traffic Management
Existentially Quantified Values for Queries and Updates of Facts in Transaction Logic Programs
Enhancing LLMs via High-Knowledge Data Selection
Learning Representations for Incomplete Time Series Clustering
Optimal Manipulation of Voting Rules
AI-Driven Multicultural Identity Preservation
Learning Coalition Structures with Games
Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos
Personalized Question Routing via Heterogeneous Network Embedding
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
On the Relation between the Coherence and Foundations Theories of Belief Revision
Every Opinion Matters: Evaluating and Building Models with Pluralistic Views
Real Arguments Are Approximate Arguments
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation
Non-Parametric Transformation Networks for Learning General Invariances from Data
Towards an artificial intuition: Conversational markers of (anti)social dynamics
Structured Prediction in Time Series Data
SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images
Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data
LPMLN, Weak Constraints, and P-log
Disambiguation of Prepositional Phrases in Automatically Labelled Technical Text
Reasoning Precisely with Vague Concepts
Refer-to-as Relations as Semantic Knowledge
Constrained Sampling and Counting: Universal Hashing Meets SAT Solving
Building Ethically Bounded AI
Building Agents from Shared Ontologies Through Apprenticeship Multistrategy Learning
Parameterized Heuristics for Incomplete Weighted CSPs
A Plan-Based Model for Response Generation in Collaborative Task-Oriented Dialogues
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds
Delay-Adaptive Distributed Stochastic Optimization
AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning
Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments
Contrastive Learning for Low-Light Raw Denoising (Student Abstract)
Dynamically Adjusting Categories to Accommodate Changing Contexts
Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP
Multispectral Pedestrian Detection with Sparsely Annotated Label
Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation
Partial Label Learning with a Partner
Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention
Complementary Attention Gated Network for Pedestrian Trajectory Prediction
PIDS: An Intelligent Electric Power Management Platform
Compressed Sensing MRI Using a Recursive Dilated Network
SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation
Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database
Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving
Layer-Wise Representation Fusion for Compositional Generalization
World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving
Pose-Invariant Face Recognition via Adaptive Angular Distillation
Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects
High Rank Matrix Completion With Side Information
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration
Online Instrumental Variable Regression with Applications to Online Linear System Identification
Quantum Exploration Algorithms for Multi-Armed Bandits
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
Verbalization of High-Level Formal Proofs
Towards Optimization-Based Multi-Agent Collision-Avoidance Under Continuous Stochastic Dynamics
From Consumers to Critical Users: Prompty, an AI Literacy Tool for High School Students
Anchors: High-Precision Model-Agnostic Explanations
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
A BTP-Based Family of Variable Elimination Rules for Binary CSPs
Euler Sparse Representation for Image Classification
Proactive Privacy-preserving Learning for Retrieval
A Computational Approach to Sign Language Understanding
Redactor: A Data-Centric and Individualized Defense against Inference Attacks
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning
Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors
Multi-Strategy Learning of Search Control for Partial-Order Planning
Combining Heterogenous Social and Geographical Information for Event Recommendation
ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context
Task-Level Self-Supervision for Cross-Domain Few-Shot Learning
Explainable Recommendation through Attentive Multi-View Learning
Weighted Super Solutions for Constraint Programs
Transfer Learning of Engagement Recognition within Robot-Assisted Therapy for Children with Autism
From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms (Journal Track)
POI Recommendation via Multi-Objective Adversarial Imitation Learning
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal Model
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms
Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories
High-Fidelity Gradient Inversion in Distributed Learning
Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract)
Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video Generation
Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization
Adaptive Agents for Mixed-Initiative Human-AI Collaborations
Decision Tree Pruning: Biased or Optimal?
Selective Verification Strategy for Learning From Crowds
The Common Order-Theoretic Structure of Version Spaces and ATMS's
LifeCode™ - A Natural Language Processing System for Medical Coding and Data Mining
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
Amodal Instance Segmentation via Prior-Guided Expansion
Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels
Explaining Model Confidence Using Counterfactuals
Scheduling Conservation Designs via Network Cascade Optimization
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian Languages
Component Caching in Hybrid Domains with Piecewise Polynomial Densities
A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification
Decision Sum-Product-Max Networks
Using Goal Interactions to Guide Planning
A Framework for Automated Text Generation Benchmarking
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
GODDS: The Global Online Deepfake Detection System
FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks
Tolerable Manipulability in Dynamic Assignment without Money
SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection
A Semantic Approach for Iterated Revision in Possibilistic Logic
Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
Teaching a Machine to Read Maps With Deep Reinforcement Learning
Probabilistic Inference Over Repeated Insertion Models
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
Very-High-Level Programming of Knowledge Representation Schemes
Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Exploring Explainable Selection to Control Abstractive Summarization
CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract)
Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs
Activity Context Representation: Techniques and Languages, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 7-8, 2011
Use of Computer Vision to Develop a Device to Assist Visually Impaired People with Social Distance
ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image
Visualizing NLP in Undergraduate Students' Learning about Natural Language
Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem
Robust Gradient-Based Markov Subsampling
Decomposing Semantic Shifts for Composed Image Retrieval
A Convex Formulation for Spectral Shrunk Clustering
Selecting Optimal Context Sentences for Event-Event Relation Extraction
STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach
A Generalization of Probabilistic Serial to Randomized Social Choice
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance
Efficiency Analysis of Multiple-Context TMSs in Scene Representation
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
Learning to Cooperate in Normal Form Games
Dialog Policy Learning for Joint Clarification and Active Learning Queries
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
TC-DWA: Text Clustering with Dual Word-Level Augmentation
Constructing a Fair Classifier with Generated Fair Data
DIANet: Dense-and-Implicit Attention Network
Gaussian-Induced Convolution for Graphs
Greedy Flipping for Constrained Word Deletion
Using the GEMS System for Cancer Diagnosis and Biomarker Discovery from Microarray Gene Expression Data
R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features
Goal-Directed Equation Solving
Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge
Results of Encoding Knowledge with Tutor Construction Tools
HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models
Evolutionary Rhythm Composition with Trajectory-based Fitness Evaluation
Federated Unlearning with Gradient Descent and Conflict Mitigation
Neighborhood-Regularized Self-Training for Learning with Few Labels
Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract)
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations
OneRel: Joint Entity and Relation Extraction with One Module in One Step
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
A Robust, Qualitative Method for Robot Spatial Learning
Relation-Aware Language-Graph Transformer for Question Answering
Partially Non-Autoregressive Image Captioning
The Shape of Subjective Contours
Conditions for the Existence of Belief Functions Corresponding to Intervals of Belief
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
Certifying Top-Down Decision-DNNF Compilers
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs
Hybrid Tractable Classes of Binary Quantified Constraint Satisfaction Problems
Abstract Argumentation Framework with Conditional Preferences
Deception in Finitely Repeated Security Games
Frequency Shuffling and Enhancement for Open Set Recognition
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing
MotionTransformer: Transferring Neural Inertial Tracking between Domains
GenerationMania: Learning to Semantically Choreograph
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions
Geometry-Aware Network for Domain Adaptive Semantic Segmentation
Recovering Concept Prerequisite Relations from University Course Dependencies
Generative Flow Networks for Lead Optimization in Drug Design (Student Abstract)
Performance Guarantees for Homomorphisms beyond Markov Decision Processes
Scalable Complex Contract Negotiation with Structured Search and Agenda Management
Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning
Six Problems for Story Understanders
Learning Graph Neural Networks with Approximate Gradient Descent
Private Blotto: Viewpoint Competition with Polarized Agents
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay
Holographic Factorization Machines for Recommendation
Satisfiability in Strategy Logic Can Be Easier than Model Checking
Data-Distortion Guided Self-Distillation for Deep Neural Networks
Data-Driven MCMC for Learning and Inference in Switching Linear Dynamic Systems
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
Clustering with Instance-Level Constraints
Learning Multi-Level Dependencies for Robust Word Recognition
Learning Discriminative Activated Simplices for Action Recognition
Symbolic Numeric Planning with Patterns
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation
Toward Design as Collaboration
Hybrid Knowledge Based System for Automatic Classificaton of B-scan Images from Ultrasonic Rail Inspection
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach
An Ambiguity Aversion Model for Decision Making under Ambiguity
A Bayesian Network for Outbreak Detection and Prediction
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
Automatic Curriculum Graph Generation for Reinforcement Learning Agents
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Social Relation Reasoning Based on Triangular Constraints
Automatic Heuristic Construction in a Complete General Game Player
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
Link Prediction via Subgraph Embedding-Based Convex Matrix Completion
Dynamic Position-aware Network for Fine-grained Image Recognition
Ideal Physical Systems
Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences
The Logic of Doxastic Strategies
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition