Papers
Fri 14 Jan 2022
110 papers
- Zero-Shot Machine UnlearningLLM safety and security → Machine unlearning
- DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI ScaleMixture-of-experts → Efficient MoE training and inference systems
- Reasoning Through Memorization: Nearest Neighbor Knowledge Graph EmbeddingsLLM reasoning → Knowledge- and tool-augmented reasoning
- Comparing Model-free and Model-based Algorithms for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG
- Skyline variations allow estimating distance to trees on landscape photos using semantic segmentation
- Learning from One and Only One Shot
- Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies
- Corrigendum and addendum to: How Populist are Parties? Measuring Degrees of Populism in Party Manifestos Using Supervised Machine Learning
- Wide Area Network Intelligence with Application to Multimedia Service
- Layerwise Geo-Distributed Computing between Cloud and IoT
- A Semantic Web Technology Index
- The Mathematics of Comparing Objects
- Time Series Generation with Masked Autoencoder
- TCR-GAN: Predicting tropical cyclone passive microwave rainfall using infrared imagery via generative adversarial networks
- Digital Twin: From Concept to Practice
- Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs
- Specifying and Reasoning about CPS through the Lens of the NIST CPS Framework
- Perspective Transformation Layer
- Diffusion Tensor Estimation with Transformer Neural Networks
- Cost-Effective Training in Low-Resource Neural Machine Translation
- An efficient aggregation method for the symbolic representation of temporal data
- Model Stability with Continuous Data Updates
- Transformers in Action: Weakly Supervised Action Segmentation
- Adaptive Information Belief Space Planning
- Prediction of Drug-Induced TdP Risks Using Machine Learning and Rabbit Ventricular Wedge Assay
- Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
- Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents
- CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures
- Disentanglement enables cross-domain Hippocampus Segmentation
- Formula graph self-attention network for representation-domain independent materials discovery
- Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance
- Tools and Practices for Responsible AI Engineering
- Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique
- OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN
- Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
- The Dark Side of the Language: Pre-trained Transformers in the DarkNet
- When less is more: Simplifying inputs aids neural network understanding
- Multilingual Open Text Release 1: Public Domain News in 44 Languages
- A Warm Start and a Clean Crawled Corpus -- A Recipe for Good Language Models
- Smart Magnetic Microrobots Learn to Swim with Deep Reinforcement Learning
- Czech Grammar Error Correction with a Large and Diverse Corpus
- Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation
- Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning
- Precise Stock Price Prediction for Robust Portfolio Design from Selected Sectors of the Indian Stock Market
- Estimating Gaussian Copulas with Missing Data
- Investigation of Data Augmentation Techniques for Disordered Speech Recognition
- Probabilistic Mass Mapping with Neural Score Estimation
- Demystifying Reinforcement Learning in Time-Varying Systems
- Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition
- Multimodal registration of FISH and nanoSIMS images using convolutional neural network models
- BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit
- ViT2Hash: Unsupervised Information-Preserving Hashing
- Compact Graph Structure Learning via Mutual Information Compression
- Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma
- Reinforcement Learning based Air Combat Maneuver Generation
- Federated Continual Learning for Socially Aware Robotics
- Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier
- Determination of building flood risk maps from LiDAR mobile mapping data
- Contrastive Laplacian Eigenmaps
- Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks
- HardBoost: Boosting Zero-Shot Learning with Hard Classes
- SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems
- Bayesian sense of time in biological and artificial brains
- Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction
- A causal model of safety assurance for machine learning
- Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data
- Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer
- Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
- The Implicit Regularization of Momentum Gradient Descent with Early Stopping
- Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication Study
- Synthesising Electronic Health Records: Cystic Fibrosis Patient Group
- De Rham compatible Deep Neural Network FEM
- Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP
- SRVIO: Super Robust Visual Inertial Odometry for dynamic environments and challenging Loop-closure conditions
- Mental Health Assessment for the Chatbots
- A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI
- Artificial Intelligence in Software Testing : Impact, Problems, Challenges and Prospect
- Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding
- StAnD: A Dataset of Linear Static Analysis Problems
- Training Free Graph Neural Networks for Graph Matching
- Arbitrary Handwriting Image Style Transfer
- AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images
- Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
- A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models
- IDEA: Interpretable Dynamic Ensemble Architecture for Time Series Prediction
- This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign
- Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes
- Security Orchestration, Automation, and Response Engine for Deployment of Behavioural Honeypots
- CommonsenseQA 2.0: Exposing the Limits of AI through Gamification
- A Kernel-Expanded Stochastic Neural Network
- A Novel Skeleton-Based Human Activity Discovery Using Particle Swarm Optimization with Gaussian Mutation
- ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization
- Unsupervised Temporal Video Grounding with Deep Semantic Clustering
- Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generation
- A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering
- MMNet: Muscle motion-guided network for micro-expression recognition
- Multi-Narrative Semantic Overlap Task: Evaluation and Benchmark
- Structure Enhanced Graph Neural Networks for Link Prediction
- Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals
All 110
- ℓ1-norm constrained multi-block sparse canonical correlation analysis via proximal gradient descent
- Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning
- Domain-shift adaptation via linear transformations
- Manifoldron: Direct Space Partition via Manifold Discovery
- Boundary-aware Self-supervised Learning for Video Scene Segmentation
- Deep Leaning-Based Ultra-Fast Stair Detection
- Eikonal depth: an optimal control approach to statistical depths
- Pretrained Language Models for Text Generation: A Survey
- Adaptive Transfer Learning for Plant Phenotyping
- DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation