Papers
Thu 3 Feb 2022
140 papers
- Practical Imitation Learning in the Real World via Task Consistency LossOffline RL and imitation learning from data → Robot manipulation imitation learning
- How to Leverage Unlabeled Data in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
- Challenging Common Assumptions in Convex Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion ModelsDiffusion models → Medical imaging and segmentation
- A Survey On Semantic Steganography Systems
- Privacy-Aware Crowd Labelling for Machine Learning Tasks
- Machine Learning and Data Science: Foundations, Concepts, Algorithms, and Tools
- Financial Vision Based Reinforcement Learning Trading Strategy
- Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
- COVID-19 Hospitalizations Forecasts Using Internet Search Data
- Mapping DNN Embedding Manifolds for Network Generalization Prediction
- Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations
- Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT
- IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode
- Network Resource Allocation Strategy Based on Deep Reinforcement Learning
- Reward is not enough: can we liberate AI from the reinforcement learning paradigm?
- Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities
- Optical skin: Sensor-integration-free multimodal flexible sensing
- Space-Air-Ground Integrated Multi-domain Network Resource Orchestration based on Virtual Network Architecture: a DRL Method
- Security-Aware Virtual Network Embedding Algorithm based on Reinforcement Learning
- Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning
- Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding
- Ad-datasets: a meta-collection of data sets for autonomous driving
- Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
- A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model
- Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare
- Modified ResNet Model for MSI and MSS Classification of Gastrointestinal Cancer
- Learning from a Learning User for Optimal Recommendations
- Rethinking Explainability as a Dialogue: A Practitioner's Perspective
- Flexible Triggering Kernels for Hawkes Process Modeling
- Enhancing Organ at Risk Segmentation with Improved Deep Neural Networks
- Exploiting Independent Instruments: Identification and Distribution Generalization
- Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification
- Modeling unknown dynamical systems with hidden parameters
- Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer
- Self-supervised Learning with Random-projection Quantizer for Speech Recognition
- A Note on "Assessing Generalization of SGD via Disagreement"
- A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits
- Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport
- Hidden Heterogeneity: When to Choose Similarity-Based Calibration
- Characterizing & Finding Good Data Orderings for Fast Convergence of Sequential Gradient Methods
- Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
- HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits
- Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization
- SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control
- ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking
- Deep Surface Reconstruction from Point Clouds with Visibility Information
- Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models
- Incorporating Sum Constraints into Multitask Gaussian Processes
- Robust Audio Anomaly Detection
- Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning
- Retinal Vessel Segmentation with Pixel-wise Adaptive Filters
- Predicting the impact of urban change in pedestrian and road safety
- Even Simpler Deterministic Matrix Sketching
- Multiclass learning with margin: exponential rates with no bias-variance trade-off
- Pre-Trained Language Models for Interactive Decision-Making
- Extremely Weak Supervision Inversion of Multi-physical Properties
- Who will Leave a Pediatric Weight Management Program and When? -- A machine learning approach for predicting attrition patterns
- JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension
- Predicting Wind-Driven Spatial Deposition through Simulated Color Images using Deep Autoencoders
- PRUNIX: Non-Ideality Aware Convolutional Neural Network Pruning for Memristive Accelerators
- Near-Optimal Learning of Extensive-Form Games with Imperfect Information
- Sequentially learning the topological ordering of causal directed acyclic graphs with likelihood ratio scores
- The Met Dataset: Instance-level Recognition for Artworks
- Fast Online Video Super-Resolution with Deformable Attention Pyramid
- Can machines solve general queueing systems?
- Skeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks
- RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds
- Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks
- Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits
- FORML: Learning to Reweight Data for Fairness
- Review of automated time series forecasting pipelines
- Towards Coherent and Consistent Use of Entities in Narrative Generation
- Variational Nearest Neighbor Gaussian Process
- How to build a cognitive map: insights from models of the hippocampal formation
- Certifying Out-of-Domain Generalization for Blackbox Functions
- Separating Rule Discovery and Global Solution Composition in a Learning Classifier System
- SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
- Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
- Ranking with Confidence for Large Scale Comparison Data
- Proportional Fairness in Federated Learning
- On Monte Carlo Tree Search for Weighted Vertex Coloring
- Distortion Audio Effects: Learning How to Recover the Clean Signal
- Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints
- On the Complexity of Winner Determination and Strategic Control in Conditional Approval Voting
- Learning strides in convolutional neural networks
- A Survey of Methods for Automated Algorithm Configuration
- Non-Vacuous Generalisation Bounds for Shallow Neural Networks
- Efficient learning of hidden state LTI state space models of unknown order
- MFA: TDNN with Multi-scale Frequency-channel Attention for Text-independent Speaker Verification with Short Utterances
- On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres
- Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics
- The RoyalFlush System of Speech Recognition for M2MeT Challenge
- Graph Coloring with Physics-Inspired Graph Neural Networks
- The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
- CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
- Toric Geometry of Entropic Regularization
- Unified theory of atom-centered representations and message-passing machine-learning schemes
- Weakly Supervised Nuclei Segmentation via Instance Learning
All 140
- Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model
- Byzantine-Robust Decentralized Learning via ClippedGossip
- Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport
- Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
- Comparative assessment of federated and centralized machine learning
- Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT
- PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR Imaging
- Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together
- A benchmark of state-of-the-art sound event detection systems evaluated on synthetic soundscapes
- Trajectory Forecasting from Detection with Uncertainty-Aware Motion Encoding
- A multi-domain virtual network embedding algorithm with delay prediction
- Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth
- A unified surrogate-based scheme for black-box and preference-based optimization
- Minimax rate of consistency for linear models with missing values
- ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search
- Concept Bottleneck Model with Additional Unsupervised Concepts
- Fast and explainable clustering based on sorting
- Deep Hierarchy in Bandits
- Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web)
- Optimized Potential Initialization for Low-latency Spiking Neural Networks
- SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding
- Characterization of Semantic Segmentation Models on Mobile Platforms for Self-Navigation in Disaster-Struck Zones
- DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts
- Joint Speech Recognition and Audio Captioning
- GALAXY: Graph-based Active Learning at the Extreme
- Learning with Asymmetric Kernels: Least Squares and Feature Interpretation
- Fair Representation Clustering with Several Protected Classes
- Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language
- An Empirical Review of Optimization Techniques for Quantum Variational Circuits
- Self-consistent Gradient-like Eigen Decomposition in Solving Schr"odinger Equations
- Machine Learning Solar Wind Driving Magnetospheric Convection in Tail Lobes
- ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
- Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks
- Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm
- mSLAM: Massively multilingual joint pre-training for speech and text
- Generative Flow Networks for Discrete Probabilistic Modeling
- Direct Molecular Conformation Generation
- Technology Ethics in Action: Critical and Interdisciplinary Perspectives
- Formal Mathematics Statement Curriculum Learning
- Robust Binary Models by Pruning Randomly-initialized Networks