yusuke1997/dblp-id-title huggingface dataset:
Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection
A Personalized Interest-Forgetting Markov Model for Recommendations
LLMGuard: Guarding against Unsafe LLM Behavior
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
A Higher-Order Latent Space Network Model
AUC Optimization with a Reject Option
On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics
Transfer Feature Representation via Multiple Kernel Learning
Efficient L1 Regularized Logistic Regression
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
Learning Robust Plans for Mobile Robots from a Single Trial
Nonlinear Feature Extraction with Max-Margin Data Shifting
Online Reinforcement Learning with Uncertain Episode Lengths
Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation
News Recommendation in Forum-Based Social Media
Solving Set Cover and Dominating Set via Maximum Satisfiability
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters
Coalition Structure Generation: Dynamic Programming Meets Anytime Optimization
Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion
Selective Abstraction of AI System Activity
Distributional Semantics Meets Multi-Label Learning
A Proximal Alternating Direction Method for Semi-Definite Rank Minimization
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
Artificial Intelligence and Molecular Biology
Dynamics of Cooperation and Conflict in Multiagent Systems
Discriminative Sentence Modeling for Story Ending Prediction
VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos
CLIM: Contrastive Language-Image Mosaic for Region Representation
Structural Leverage and Fictitious Play in Sequential Auctions
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
Learning Differences Between Visual Scanning Patterns Can Disambiguate Bipolar and Unipolar Patients
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter
Approximate State Abstraction for Markov Games
Multi-Instance Learning with Distribution Change
Verifying and Synthesising Multi-Agent Systems against One-Goal Strategy Logic Specifications
Online Elicitation of Necessarily Optimal Matchings
Dual Set Multi-Label Learning
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis
Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions
A Tractable Walsh Analysis of SAT and its Implications for Genetic Algorithms
ResMaster: Mastering High-Resolution Image Generation via Structural and Fine-Grained Guidance
Warm Starting CMA-ES for Hyperparameter Optimization
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Cost-Aware Near-Optimal Policy Learning
Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt
A Deterministic Neural Network Approach to Playing Gin Rummy
Winning Lottery Tickets in Deep Generative Models
Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport
Learning Losses for Strategic Classification
Neural Networks Classify through the Class-Wise Means of Their Representations
A Fusion-Denoising Attack on InstaHide with Data Augmentation
From Complexity to Clarity: Transforming Chest X-ray Reports with Chained Prompting (Student Abstract)
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression
KARMA: Managing Business Rules from Specification to Implementation
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
On the Size of Reactive Plans
How to Save your Annotation Cost for Panoptic Segmentation?
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints
Modeling Prosody Automatically in Concept-to-Speech Generation
3D Single-Person Concurrent Activity Detection Using Stacked Relation Network
Computing the Why-Provenance for Datalog Queries via SAT Solvers
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks
An Adaptive Framework for Conversational Question Answering
DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks
Using Syntax to Ground Referring Expressions in Natural Images
Investigating Active Learning for Concept Prerequisite Learning
Recognizing Actions in 3D Using Action-Snippets and Activated Simplices
Fair and Truthful Mechanisms for Dichotomous Valuations
Hotspotting - A Probabilistic Graphical Model For Image Object Localization Through Crowdsourcing
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing
Attitude and Position Control Using Real-Time Color Tracking
A Study of Students' Learning of Computing through an LP-Based Integrated Curriculum for Middle Schools
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations
Explore In-Context Segmentation via Latent Diffusion Models
Improving Twitter Retrieval by Exploiting Structural Information
Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification
A Multi-Style Chinese Characters Writing Intelligent Tool Based on Small-scale Training Data
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network
Noisy Correspondence Rectification via Asymmetric Similarity Learning
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
Not Quite the Same: Identity Constraints for the Web of Linked Data
Learning Source Descriptions for Web Services
Case-Based Retrieval Interface Adapted to Customer-Initiated Dialogues in Help Desk Operations
Adversarial Pose Regression Network for Pose-Invariant Face Recognitions
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning
SCP: Spherical-Coordinate-Based Learned Point Cloud Compression
Traffic Flow Prediction with Vehicle Trajectories
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks
GLIC: General Format Learned Image Compression
Anytime Coordination Using Separable Bilinear Programs
Fair Representation Learning for Recommendation: A Mutual Information Perspective
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data
STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation
AIBIRDS: The Angry Birds Artificial Intelligence Competition
Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution
eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract)
Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts
Heuristic Search for Large Problems with Real Costs
Directional Label Rectification in Adaptive Graph
Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering
Expressive Banner Ad Auctions and Model-Based Online Optimization for Clearing
Optimal False-Name-Proof Voting Rules with Costly Voting
Context Transfer and Q-Transferable Tasks
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization
Non-Autoregressive Coarse-to-Fine Video Captioning
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
Flexible Provisioning of Service Workflows
Toward Practical Knowledge-Based Tools for Battle Planning and Scheduling
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning
Automatic Abduction of Qualitative Models
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
Diversity Maximization in the Presence of Outliers
The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares
Human-Robot Collaboration for Remote Surveillance
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection
A Domain Generalization Perspective on Listwise Context Modeling
Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion
PROTEAN: Deriving Protein Structure from Constraints
Iterative Token Evaluation and Refinement for Real-World Super-resolution
MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities
Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Automated Rule Base Completion as Bayesian Concept Induction
Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering Example
Robust Protection of Fisheries with COmPASS
Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images
Local Search in Histogram Construction
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
Automated Design of Robust Mechanisms
Temporal Terminological Logic
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
RWEN-TTS: Relation-Aware Word Encoding Network for Natural Text-to-Speech Synthesis
Quantify the Political Bias in News Edits: Experiments with Few-Shot Learners (Student Abstract)
Formal Basis for Commonsense Abstraction of Dynamic Systems
Examining CNN Representations With Respect to Dataset Bias
Robust Sequence Networked Submodular Maximization
Adversarial Cross-Domain Action Recognition with Co-Attention
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations
Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
Domain Structure and the Complexity of Diagnostic Problem Solving
ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder
SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation
Multiagent Knowledge and Belief Change in the Situation Calculus
Faster and Simpler Algorithm for Optimal Strategies of Blotto Game
The Meta-Problem for Conservative Mal'tsev Constraints
Data Wrangling Task Automation Using Code-Generating Language Models
The Systems Engineering Process Activities (SEPA) Methodology and Tool Suite
Statistics-Based Summarization - Step One: Sentence Compression
Cascading Convolutional Color Constancy
A Heuristic-Driven Ensemble Framework for COVID-19 Fake News Detection
MSSDA: Multi-Sub-Source Domain Adaptation for Diabetic Foot Neuropathy Recognition
A Provable Approach for Double-Sparse Coding
Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs
Clustering with Local and Global Regularization
Supervised Scoring with Monotone Multidimensional Splines
Inducing Hierarchical Process Models in Dynamic Domains
GlyphSR: A Simple Glyph-Aware Framework for Scene Text Image Super-Resolution
Synthesis of Constraint-Based Local Search Algorithms from High-Level Models
Evidence-Based Clustering for Scalable Inference in Markov Logic
The Role of Prior Causal Theories in Generalization
Implementation of and Experiments with a Variable Precision Logic Inference System
Acquiring Constraint Networks Using a SAT-based Version Space Algorithm
Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition
Efficient Poverty Mapping from High Resolution Remote Sensing Images
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models
Multi-Focus Image Fusion via Explicit Defocus Blur Modelling
Data Mining and Knowledge Discovery in Databases: Applications in Astronomy and Planetary Science
Multi-View Multiple Clusterings Using Deep Matrix Factorization
Equal Bits: Enforcing Equally Distributed Binary Network Weights
Chatting Activity Recognition in Social Occasions Using Factorial Conditional Random Fields with Iterative Classification
Extract Free Dense Misalignment from CLIP
Partial Revelation Automated Mechanism Design
Knowledge-based Word Sense Disambiguation using Topic Models
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
Spatio-Spectral Exploration Combining In Situ and Remote Measurements
NaFV-Net: An Adversarial Four-view Network for Mammogram Classification
Solving QBF by Combining Conjunctive and Disjunctive Normal Forms
AIA: Autoregression-Based Injection Attacks Against Text2SQL Models
Learning Invariant Representations using Inverse Contrastive Loss
Top-Down Feedback for Crowd Counting Convolutional Neural Network
Through the Twitter Glass: Detecting Questions in Micro-Text
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation
Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable
Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks
Enhancing Davis Putnam with Extended Binary Clause Reasoning
Reasoning over Assumption-Based Argumentation Frameworks via Direct Answer Set Programming Encodings
Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains
Horn Complements: Towards Horn-to-Horn Belief Revision
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning
Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022
Real-Time Detection of Robotic Traffic in Online Advertising
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search
Residual Compensation Networks for Heterogeneous Face Recognition
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models
The Relational Push-Pull Model: A Generative Model for Relational Data Clustering
Hybrid Heterogeneous Transfer Learning through Deep Learning
Learning Causal Trees from Dependence Information
Scaling Relational Inference Using Proofs and Refutations
Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents
MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search
Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
Read, Watch and Scream! Sound Generation from Text and Video
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
A Family of Latent Variable Convex Relaxations for IBM Model 2
Heuristic Search in Cyclic AND/OR Graphs
On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets
GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
Towards a Unifying Framework for Formal Theories of Novelty
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database
Latent Discriminant Subspace Representations for Multi-View Outlier Detection
Unchain the Search Space with Hierarchical Differentiable Architecture Search
Adversarial Self-Attention for Language Understanding
Hi, How Can I Help You?: Automating Enterprise IT Support Help Desks
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
Saturated Path-Constrained MDP: Planning under Uncertainty and Deterministic Model-Checking Constraints
Adversarially Balanced Representation for Continuous Treatment Effect Estimation
The Tactical Language and Culture Training System: A Demonstration
Graphical Animation From Knowledge
Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract)
TransGOP: Transformer-Based Gaze Object Prediction
Gridworlds as Testbeds for Planning with Incomplete Information
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks
Towards Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping (Student Abstract)
SUTrack: Towards Simple and Unified Single Object Tracking
Machine Learning for Fast Quadrupedal Locomotion
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
Efficient Continuous Control with Double Actors and Regularized Critics
Knowledge Tagging with Large Language Model Based Multi-Agent System
Optimizing Objective Function Parameters for Strength in Computer Game-Playing
Causally Denoise Word Embeddings Using Half-Sibling Regression
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks
Integrating Abstraction and Explanation-Based Learning in PRODIGY
Statistical Machine Translation Is a Natural Fit for Automatic Identifier Renaming in Software Source Code
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles
Reciprocal Collision Avoidance and Multi-Agent Navigation for Video Games
Plan Evaluation with Incomplete Action Descriptions
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View
Path-Based Attention Neural Model for Fine-Grained Entity Typing
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection
Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products
Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula
Dimension Reduction for Symbolic Regression
DISCO: Describing Images Using Scene Contexts and Objects
Learning Local Neighborhoods of Non-Gaussian Graphical Models
Semi-Supervised Learning for Electron Microscopy Image Segmentation
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
Densely Supervised Grasp Detector (DSGD)
S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention
Storage Fit Learning with Feature Evolvable Streams
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
Complexity of Reasoning with Cardinality Minimality Conditions
GenéLive! Generating Rhythm Actions in Love Live!
Who Can Win a Single-Elimination Tournament?
Model Predictive Control with Uncertainty in Human Driven Systems
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning
KRYPTON: Integrating Terminology and Assertion
A Powerful Global Test Statistic for Functional Statistical Inference
Semi-supervised Classification Using Local and Global Regularization
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization
Colorizing Monochromatic Radiance Fields
Proximity Preserving Binary Code Using Signed Graph-Cut
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving
Deep Reinforcement Learning for Green Security Games with Real-Time Information
Geometry Interaction Knowledge Graph Embeddings
A Technique for Establishing Completeness Results in Theorem Proving with Equality
A Polynomial-Time Algorithm for Simple Temporal Problems with Piecewise Constant Domain Preference Functions
An Effective Approach for Imbalanced Classification: Unevenly Balanced Bagging
Backward Model Tracing: An Explanation-Based Approach for Reconstructing Student Reasoning
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule
Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems
Information Extraction based Multiple-Category Document Classification for the Global Legal Information Network
Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract)
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images
Online Hyperparameter Optimization for Class-Incremental Learning
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process
Exploring Intrinsic Alignments Within Text Corpus
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
What's Wrong With Hal?
Domain Adaptation in Sentiment Analysis of Twitter
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning
Two Views of Constrained Differential Privacy: Belief Revision and Update
Three New Algorithms to Solve N-POMDPs
Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies
WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency (Student Abstract)
Reinforcement Learning When All Actions Are Not Always Available
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion
The Blue Swarm
Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views
On Detecting Nearly Structured Preference Profiles
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
Leveraging Fee-Based, Imperfect Advisors in Human-Agent Games of Trust
Detecting Disjoint Inconsistent Subformulas for Computing Lower Bounds for Max-SAT
DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming