Papers
Tue 7 Jun 2022
205 papers
- Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning ApproachMixture-of-experts → MoE for time series and graphs
- Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- On the Role of Discount Factor in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Tutel: Adaptive Mixture-of-Experts at ScaleMixture-of-experts → Efficient MoE training and inference systems
- Imitating Past Successes can be Very SuboptimalOffline RL and imitation learning from data → Imitation learning methods
- cViL: Cross-Lingual Training of Vision-Language Models using Knowledge DistillationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Subject Membership Inference Attacks in Federated LearningLLM safety and security → Federated unlearning and poisoning
- How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via f-Advantage RegressionOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Driving in Real Life with Inverse Reinforcement LearningEnd-to-end autonomous driving → Reinforcement learning for driving +1
- BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection
- Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution
- The Road to a Successful HRI: AI, Trust and ethicS-TRAITS
- Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs
- DeepTPI: Test Point Insertion with Deep Reinforcement Learning
- Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning
- Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics
- Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs
- Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
- A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
- Extending Momentum Contrast with Cross Similarity Consistency Regularization
- Improving trajectory calculations using deep learning inspired single image superresolution
- Transfer learning to decode brain states reflecting the relationship between cognitive tasks
- Decentralized Online Regularized Learning Over Random Time-Varying Graphs
- Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior
- Asymptotic Stability in Reservoir Computing
- An Analysis of Selection Bias Issue for Online Advertising
- FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
- Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders
- Subject Granular Differential Privacy in Federated Learning
- Predictive Modeling of Charge Levels for Battery Electric Vehicles using CNN EfficientNet and IGTD Algorithm
- FedPop: A Bayesian Approach for Personalised Federated Learning
- Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations
- A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images
- Decoupled Self-supervised Learning for Non-Homophilous Graphs
- OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
- Meta-Learning Parameterized Skills
- Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning
- Click prediction boosting via Bayesian hyperparameter optimization based ensemble learning pipelines
- ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D
- Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation
- Certifying Data-Bias Robustness in Linear Regression
- Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure
- A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction
- NOMAD: Nonlinear Manifold Decoders for Operator Learning
- Guidelines and a Corpus for Extracting Biographical Events
- Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks
- A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of Natural Movies from Brain Activity
- How to Dissect a Muppet: The Structure of Transformer Embedding Spaces
- Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
- How does overparametrization affect performance on minority groups?
- DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning
- A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy
- EiX-GNN : Concept-level eigencentrality explainer for graph neural networks
- Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
- Few-Shot Learning by Dimensionality Reduction in Gradient Space
- Chordal Sparsity for SDP-based Neural Network Verification
- SHRED: 3D Shape Region Decomposition with Learned Local Operations
- Short Blocklength Wiretap Channel Codes via Deep Learning: Design and Performance Evaluation
- Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network
- Discrete State-Action Abstraction via the Successor Representation
- Adversarial Reprogramming Revisited
- Can CNNs Be More Robust Than Transformers?
- Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
- Learning in Observable POMDPs, without Computationally Intractable Oracles
- Robust Sparse Mean Estimation via Sum of Squares
- A Benchmark for Federated Hetero-Task Learning
- Self-supervised Domain Adaptation in Crowd Counting
- Robot Self-Calibration Using Actuated 3D Sensors
- Generating Long Videos of Dynamic Scenes
- Revealing Single Frame Bias for Video-and-Language Learning
- Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
- An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning
- Deep Learning based Direct Segmentation Assisted by Deformable Image Registration for Cone-Beam CT based Auto-Segmentation for Adaptive Radiotherapy
- Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization
- MIX-MAB: Reinforcement Learning-based Resource Allocation Algorithm for LoRaWAN
- The Influence of Dataset Partitioning on Dysfluency Detection Systems
- Towards a General Purpose CNN for Long Range Dependencies in ND
- Group privacy for personalized federated learning
- Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition
- Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
- Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics
- Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
- RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
- On Outer Bi-Lipschitz Extensions of Linear Johnson-Lindenstrauss Embeddings of Low-Dimensional Submanifolds of ℝN
- Garment Avatars: Realistic Cloth Driving using Pattern Registration
- Computational Doob's h-transforms for Online Filtering of Discretely Observed Diffusions
- IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
- Localizing Semantic Patches for Accelerating Image Classification
- DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with Multiple Load-Solution Mappings
- Building Robust Ensembles via Margin Boosting
- Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
- Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkit
- An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training
- Position Paper: Online Modeling for Offline Planning
- Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
- Searching for Optimal Subword Tokenization in Cross-domain NER
- AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems
- Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
- Parotid Gland MRI Segmentation Based on Swin-Unet and Multimodal Images
- Assessing Project-Level Fine-Tuning of ML4SE Models
All 205
- Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models
- Concentration analysis of multivariate elliptic diffusion processes
- Concentration bounds for SSP Q-learning for average cost MDPs
- LegoNN: Building Modular Encoder-Decoder Models
- Neural Network Decoders for Permutation Codes Correcting Different Errors
- Integrating Random Effects in Deep Neural Networks
- PyTSK: A Python Toolbox for TSK Fuzzy Systems
- Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking
- On the balance between the training time and interpretability of neural ODE for time series modelling
- Recent Advances in Bayesian Optimization
- Generalization Error Bounds for Deep Neural Networks Trained by SGD
- Joint Manifold Learning and Density Estimation Using Normalizing Flows
- Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning
- On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
- Machine Learning Sensors
- Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection
- Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
- Analyzing the impact of feature selection on the accuracy of heart disease prediction
- Disparate Conditional Prediction in Multiclass Classifiers
- Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
- Improved Cardiac Arrhythmia Prediction Based on Heart Rate Variability Analysis
- Variational Meta Reinforcement Learning for Social Robotics
- Deep Neural Patchworks: Coping with Large Segmentation Tasks
- From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
- Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions
- FlexLip: A Controllable Text-to-Lip System
- FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
- Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow
- Improving Image Captioning with Control Signal of Sentence Quality
- Generalized Data Distribution Iteration
- A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem
- Risk Measures and Upper Probabilities: Coherence and Stratification
- TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study)
- Fooling Explanations in Text Classifiers
- Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation
- Representational Systems Theory: A Unified Approach to Encoding, Analysing and Transforming Representations
- Introspective Experience Replay: Look Back When Surprised
- Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge
- Utility of Equivariant Message Passing in Cortical Mesh Segmentation
- Privacy Amplification via Shuffled Check-Ins
- Group Meritocratic Fairness in Linear Contextual Bandits
- Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation
- Intra-agent speech permits zero-shot task acquisition
- CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities
- Towards Meta-learned Algorithm Selection using Implicit Fidelity Information
- Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting
- Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
- Normalisations of Existential Rules: Not so Innocuous!
- Wavelet Prior Attention Learning in Axial Inpainting Network
- Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering
- Medical Image Registration via Neural Fields
- Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection
- Better Best of Both Worlds Bounds for Bandits with Switching Costs
- Beyond spectral gap: The role of the topology in decentralized learning
- Critical Regularizations for Neural Surface Reconstruction in the Wild
- Online Deep Clustering with Video Track Consistency
- Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU
- An Empirical Study of IoT Security Aspects at Sentence-Level in Developer Textual Discussions
- SubStrat: A Subset-Based Strategy for Faster AutoML
- Patch-based image Super Resolution using generalized Gaussian mixture model
- Recent Advances for Quantum Neural Networks in Generative Learning
- Universal Speech Enhancement with Score-based Diffusion
- A Simple and Efficient Pipeline to Build an End-to-End Spatial-Temporal Action Detector
- Object Scan Context: Object-centric Spatial Descriptor for Place Recognition within 3D Point Cloud Map
- Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection
- Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans
- Layered Depth Refinement with Mask Guidance
- CAISAR: A platform for Characterizing Artificial Intelligence Safety and Robustness
- COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images
- Learning Backward Compatible Embeddings
- Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
- Deep Learning Techniques for Visual Counting
- Intelligent Circuit Design and Implementation with Machine Learning
- Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery
- OCHADAI at SemEval-2022 Task 2: Adversarial Training for Multilingual Idiomaticity Detection
- Plot Writing From Pre-Trained Language Models
- Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation
- The Survival Bandit Problem
- Development of Automatic Endotracheal Tube and Carina Detection on Portable Supine Chest Radiographs using Artificial Intelligence
- The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation
- TriBYOL: Triplet BYOL for Self-Supervised Representation Learning
- MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning
- Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images
- Algorithms for bounding contribution for histogram estimation under user-level privacy
- Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records
- PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System
- DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation
- TadML: A fast temporal action detection with Mechanics-MLP
- Enhancing Distributional Stability among Sub-populations
- Structured Context Transformer for Generic Event Boundary Detection
- Review on Multiple Plagiarism: A Performance Comparison Study
- DynaMaR: Dynamic Prompt with Mask Token Representation
- Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval
- DETR++: Taming Your Multi-Scale Detection Transformer
- Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
- Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics
- A Simple and Optimal Policy Design with Safety against Heavy-Tailed Risk for Stochastic Bandits
- Masked Unsupervised Self-training for Label-free Image Classification
- Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
- Confounder Analysis in Measuring Representation in Product Funnels
- HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy
- Saliency Cards: A Framework to Characterize and Compare Saliency Methods
- GRETEL: A unified framework for Graph Counterfactual Explanation Evaluation
- Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection
- Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization