Papers
Fri 4 Feb 2022
148 papers
- Enhanced Behavioral Cloning with Environmental Losses for Self-Driving VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Offline Reinforcement Learning for Mobile NotificationsOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy MatchingOffline RL and imitation learning from data → Imitation learning methods
- Learning Interpretable, High-Performing Policies for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- LTU Attacker for Membership InferenceLLM safety and security → Membership inference attacks
- Iterative Self Knowledge Distillation -- From Pothole Classification to Fine-Grained and COVID RecognitionKnowledge distillation → Detection and dense prediction distillation
- Functional Mixtures-of-ExpertsMixture-of-experts → MoE theory and gating functions
- BC-Z: Zero-Shot Task Generalization with Robotic Imitation LearningWorld models → Embodied and robot world models +1
- Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods
- Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design
- Relational Artificial Intelligence
- Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets
- Machine Learning in Heterogeneous Porous Materials
- Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
- Stop Oversampling for Class Imbalance Learning: A Critical Review
- Structured Prediction Problem Archive
- Development of a deep learning platform for optimising sheet stamping geometries subject to manufacturing constraints
- A Conditional Perspective on the Logic of Iterated Belief Contraction
- Knowledge-Integrated Informed AI for National Security
- TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer
- The 6-Ds of Creating AI-Enabled Systems
- Neural Logic Analogy Learning
- On Neural Differential Equations
- Transformers and the representation of biomedical background knowledge
- HENRI: High Efficiency Negotiation-based Robust Interface for Multi-party Multi-issue Negotiation over the Internet
- Verifying Inverse Model Neural Networks
- Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images
- Lightweight Compositional Embeddings for Incremental Streaming Recommendation
- The influence of labeling techniques in classifying human manipulation movement of different speed
- Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
- Learning to Admit Optimally in an M/M/k/k+N Queueing System with Unknown Service Rate
- StandardSim: A Synthetic Dataset For Retail Environments
- Generalized Causal Tree for Uplift Modeling
- OMLT: Optimization & Machine Learning Toolkit
- An Experimental Design Approach for Regret Minimization in Logistic Bandits
- Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting
- BAM: Bayes with Adaptive Memory
- Model-Free Reinforcement Learning for Symbolic Automata-encoded Objectives
- Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series
- Pir'a: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean
- A Temporal-Difference Approach to Policy Gradient Estimation
- Malleable Agents for Re-Configurable Robotic Manipulators
- JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning
- Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
- The impact of feature importance methods on the interpretation of defect classifiers
- Bregman Plug-and-Play Priors
- Automatic Identification of Self-Admitted Technical Debt from Four Different Sources
- Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft
- Fully Automated Tree Topology Estimation and Artery-Vein Classification
- Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation
- MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks
- Meta-Reinforcement Learning with Self-Modifying Networks
- A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting
- A note on the complex and bicomplex valued neural networks
- Selective Network Linearization for Efficient Private Inference
- Discovering Distribution Shifts using Latent Space Representations
- Towards Training Reproducible Deep Learning Models
- Breath analysis by ultra-sensitive broadband laser spectroscopy detects SARS-CoV-2 infection
- Webly Supervised Concept Expansion for General Purpose Vision Models
- Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition
- A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility
- EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
- Rediscovering orbital mechanics with machine learning
- Multi-task head pose estimation in-the-wild
- Towards a consistent interpretation of AIOps models
- Graph-Coupled Oscillator Networks
- Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation
- Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence
- Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model
- StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements?
- Polynomial convergence of iterations of certain random operators in Hilbert space
- De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
- Decoupling Local and Global Representations of Time Series
- Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery
- Backpropagation Neural Tree
- Beam Management with Orientation and RSRP using Deep Learning for Beyond 5G Systems
- Personalized visual encoding model construction with small data
- Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks
- Pixle: a fast and effective black-box attack based on rearranging pixels
- Bootstrapped Representation Learning for Skeleton-Based Action Recognition
- Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model
- Learning with Neighbor Consistency for Noisy Labels
- Deep End-to-end Causal Inference
- Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
- Feature-Style Encoder for Style-Based GAN Inversion
- Identifying Self-Admitted Technical Debt in Issue Tracking Systems using Machine Learning
- NeAT: Neural Adaptive Tomography
- The Ecological Footprint of Neural Machine Translation Systems
- Group invariant machine learning by fundamental domain projections
- COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid Solutions
- Source data selection for out-of-domain generalization
- Correcting Confounding via Random Selection of Background Variables
- 3D Point Cloud Registration with Learning-based Matching Algorithm
- Generative Modeling of Complex Data
- Deep invariant networks with differentiable augmentation layers
- Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis
- OntoSeer -- A Recommendation System to Improve the Quality of Ontologies
- TIML: Task-Informed Meta-Learning for Agriculture
- Polyphonic pitch detection with convolutional recurrent neural networks
- From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer
All 148
- Musical Audio Similarity with Self-supervised Convolutional Neural Networks
- Implementation of a Type-2 Fuzzy Logic Based Prediction System for the Nigerian Stock Exchange
- Supervised Contrastive Learning for Product Matching
- To Impute or not to Impute? Missing Data in Treatment Effect Estimation
- Fixed-Point Code Synthesis For Neural Networks
- Numerical Demonstration of Multiple Actuator Constraint Enforcement Algorithm for a Molten Salt Loop
- Temporal Attention for Language Models
- SignSGD: Fault-Tolerance to Blind and Byzantine Adversaries
- Tracking Discourse Influence in Darknet Forums
- Robust Linear Regression for General Feature Distribution
- Heed the Noise in Performance Evaluations in Neural Architecture Search
- Urban Region Profiling via A Multi-Graph Representation Learning Framework
- CGiS-Net: Aggregating Colour, Geometry and Implicit Semantic Features for Indoor Place Recognition
- Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss
- Unsupervised Behaviour Analysis of News Consumption in Turkish Media
- Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel
- Image-to-Image MLP-mixer for Image Reconstruction
- Identifiability of Label Noise Transition Matrix
- A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications
- 5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
- Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing
- Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings
- Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces
- Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion
- Neural Dual Contouring
- Data Scaling Laws in NMT: The Effect of Noise and Architecture
- Grounding Answers for Visual Questions Asked by Visually Impaired People
- Projection-based Point Convolution for Efficient Point Cloud Segmentation
- Robust Vector Quantized-Variational Autoencoder
- Multi-Output Gaussian Process-Based Data Augmentation for Multi-Building and Multi-Floor Indoor Localization
- Hybrid Neural Coded Modulation: Design and Training Methods
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
- Predictive Closed-Loop Service Automation in O-RAN based Network Slicing
- Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning
- Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems
- Active metric learning and classification using similarity queries
- A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario
- Unsupervised Learning Based Hybrid Beamforming with Low-Resolution Phase Shifters for MU-MIMO Systems
- Learning Representation from Neural Fisher Kernel with Low-rank Approximation
- PSO-PINN: Physics-Informed Neural Networks Trained with Particle Swarm Optimization
- Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks
- Brain-Computer-Interface controlled robot via RaspberryPi and PiEEG
- Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services
- Identifying stimulus-driven neural activity patterns in multi-patient intracranial recordings
- Energy-Based Models for Functional Data using Path Measure Tilting
- Zero-Shot Aspect-Based Sentiment Analysis
- Tsetlin Machine for Solving Contextual Bandit Problems
- Time-Constrained Learning