No. 8: AAAI-22 Technical Tracks 8
AAAI Technical Track on Machine Learning III
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks
PDFError-Based Knockoffs Inference for Controlled Feature Selection
PDFOnline Missing Value Imputation and Change Point Detection with the Gaussian Copula
PDFLaSSL: Label-Guided Self-Training for Semi-supervised Learning
PDFStackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
PDFAdaptive Pairwise Weights for Temporal Credit Assignment
PDFProgrammatic Reward Design by Example
PDFNeural Piecewise-Constant Delay Differential Equations
PDFStructural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification
PDFInvariant Action Effect Model for Reinforcement Learning
PDFSelf-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations
PDFLocality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
PDFEfficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems
PDFMetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
PDFState Deviation Correction for Offline Reinforcement Learning
PDFMulti-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic
PDFCo-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach
PDFCategorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables
PDFInterpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models
PDFConvergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings
PDFGaussian Process Bandits with Aggregated Feedback
PDFRethinking Influence Functions of Neural Networks in the Over-Parameterized Regime
PDFA Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
PDFTailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition
PDFFusion Multiple Kernel K-means
PDFBatch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning
PDFProtGNN: Towards Self-Explaining Graph Neural Networks
PDFLearning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum
PDFRobust Action Gap Increasing with Clipped Advantage Learning
PDFOnline Influence Maximization with Node-Level Feedback Using Standard Offline Oracles
PDFCLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets
PDFFedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates
PDFGraph Pointer Neural Networks
PDFLOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning
PDFExploiting Invariance in Training Deep Neural Networks
PDFLifelong Generative Modelling Using Dynamic Expansion Graph Model
PDFStage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation
PDFBATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition
PDFDistributed Randomized Sketching Kernel Learning
PDFAutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
PDFBM-NAS: Bilevel Multimodal Neural Architecture Search
PDFEarly-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
PDFHindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units
PDFSAIL: Self-Augmented Graph Contrastive Learning
PDFNatural Black-Box Adversarial Examples against Deep Reinforcement Learning
PDFRegularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
PDFLow-Pass Graph Convolutional Network for Recommendation
PDFMIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation
PDFUnsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints
PDFTS2Vec: Towards Universal Representation of Time Series
PDFFractional Adaptive Linear Units
PDFSimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning
PDFStructure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments
PDFAn Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
PDFPUMA: Performance Unchanged Model Augmentation for Training Data Removal
PDFGeneralizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation
PDFAdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method
PDFTowards Off-Policy Learning for Ranking Policies with Logged Feedback
PDFActive Learning for Domain Adaptation: An Energy-Based Approach
PDFGearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
PDFReinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits
PDFCoordinating Momenta for Cross-Silo Federated Learning
PDFLearning-Augmented Algorithms for Online Steiner Tree
PDFConstraints Penalized Q-learning for Safe Offline Reinforcement Learning
PDFDeep Incomplete Multi-View Clustering via Mining Cluster Complementarity
PDFLinearity-Aware Subspace Clustering
PDFGo Wider Instead of Deeper
PDFSeizing Critical Learning Periods in Federated Learning
PDFLearning to Identify Top Elo Ratings: A Dueling Bandits Approach
PDFQ-Ball: Modeling Basketball Games Using Deep Reinforcement Learning
PDFTraining a Resilient Q-network against Observational Interference
PDFPolicy Optimization with Stochastic Mirror Descent
PDFSMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation
PDFSplitFed: When Federated Learning Meets Split Learning
PDFListwise Learning to Rank Based on Approximate Rank Indicators
PDFPrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
PDFAmortized Generation of Sequential Algorithmic Recourses for Black-Box Models
PDFRobust Optimal Classification Trees against Adversarial Examples
PDFSpline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs
PDFContext Uncertainty in Contextual Bandits with Applications to Recommender Systems
PDFDemystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
PDFLearngene: From Open-World to Your Learning Task
PDFBoosting Active Learning via Improving Test Performance
PDFEfficient Algorithms for General Isotone Optimization
PDFEfficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets
PDFContinual Learning through Retrieval and Imagination
PDFMax-Min Grouped Bandits
PDFSample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
PDFControlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation
PDFSymbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics
PDFPrune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks
PDFPluGeN: Multi-Label Conditional Generation from Pre-trained Models
PDFEstimation of Local Average Treatment Effect by Data Combination
PDFConstraint-Driven Explanations for Black-Box ML Models
PDFNoise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels
PDFQUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers
PDFEqGNN: Equalized Node Opportunity in Graphs
PDFApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems
PDFFeature Importance Explanations for Temporal Black-Box Models
PDFReward-Weighted Regression Converges to a Global Optimum
PDFGradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification
PDFDeterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
PDFExploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes
PDFGeneralized Equivariance and Preferential Labeling for GNN Node Classification
PDFExplainable and Local Correction of Classification Models Using Decision Trees
PDFConsistency Regularization for Adversarial Robustness
PDFRegularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
PDFFedProto: Federated Prototype Learning across Heterogeneous Clients
PDFWhat about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
PDFOptimal Sampling Gaps for Adaptive Submodular Maximization
PDFWith False Friends Like These, Who Can Notice Mistakes?
PDFPowering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
PDFScaling Up Influence Functions
PDFChaining Value Functions for Off-Policy Learning
PDFGraph Filtration Kernels
PDFNeural Networks Classify through the Class-Wise Means of Their Representations
PDFNeuro-Symbolic Inductive Logic Programming with Logical Neural Networks
PDFMax-Margin Contrastive Learning
PDFLearning to Transfer with von Neumann Conditional Divergence
PDFOnline Apprenticeship Learning
PDFHoD-Net: High-Order Differentiable Deep Neural Networks and Applications
PDFConditional Generative Model Based Predicate-Aware Query Approximation
PDFLearning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations
PDFShape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds
PDFTRF: Learning Kernels with Tuned Random Features
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