Papers
Sun 13 Feb 2022
84 papers
- Individual-Level Inverse Reinforcement Learning for Mean Field GamesOffline RL and imitation learning from data → Inverse reinforcement learning
- Supported Policy Optimization for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Deep Reinforcement Learning and Convex Mean-Variance Optimisation for Portfolio Management
- Random vector functional link network: recent developments, applications, and future directions
- Assessment of contextualised representations in detecting outcome phrases in clinical trials
- LMN at SemEval-2022 Task 11: A Transformer-based System for English Named Entity Recognition
- GENOME: A GENeric methodology for Ontological Modelling of Epics
- Brain Principles Programming
- Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm
- Learning from Randomly Initialized Neural Network Features
- Perception-Aware Perching on Powerlines with Multirotors
- AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
- A Contrastive Framework for Neural Text Generation
- State-of-the-Art Review of Design of Experiments for Physics-Informed Deep Learning
- The Impact of a Coalition: Assessing the Likelihood of Voter Influence in Large Elections
- Distribution augmentation for low-resource expressive text-to-speech
- Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model
- Visual Sound Localization in the Wild by Cross-Modal Interference Erasing
- Transformer-based Approaches for Legal Text Processing
- Local approximation of operators
- Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks
- Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments
- Improved analysis for a proximal algorithm for sampling
- Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
- Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data
- Training with More Confidence: Mitigating Injected and Natural Backdoors During Training
- Holdouts set for safe predictive model updating
- Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs OneCycleLR
- A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
- Omnifont Persian OCR System Using Primitives
- Incremental user embedding modeling for personalized text classification
- Learning Perspective Deformation in X-Ray Transmission Imaging
- Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars
- Goal Recognition as Reinforcement Learning
- A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation
- ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
- A Group-Equivariant Autoencoder for Identifying Spontaneously Broken Symmetries
- Off-Policy Evaluation for Large Action Spaces via Embeddings
- Reverse Back Propagation to Make Full Use of Derivative
- Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks
- Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network
- Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction
- Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility Vehicles
- On the Relationship between Shy and Warded Datalog+/-
- Zero-Reference Image Restoration for Under-Display Camera of UAV
- Graph-adaptive Rectified Linear Unit for Graph Neural Networks
- On the complexity of All varepsilon-Best Arms Identification
- Natural Image Stitching Using Depth Maps
- BViT: Broad Attention based Vision Transformer
- Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions
- A Simplified Variant of G"odel's Ontological Argument
- LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling
- LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation
- Flowformer: Linearizing Transformers with Conservation Flows
- Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model
- RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection
- Strategy Synthesis for Zero-Sum Neuro-Symbolic Concurrent Stochastic Games
- Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles
- Privacy protection based on mask template
- A Tech Hybrid-Recommendation Engine and Personalized Notification: An integrated tool to assist users through Recommendations (Project ATHENA)
- Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility
- Geometric Graph Representation Learning via Maximizing Rate Reduction
- FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
- Multimodal Depression Classification Using Articulatory Coordination Features And Hierarchical Attention Based Text Embeddings
- Efficient Natural Gradient Descent Methods for Large-Scale PDE-Based Optimization Problems
- The Sample Complexity of One-Hidden-Layer Neural Networks
- Generalized Tangent Kernel: A Unified Geometric Foundation for Natural Gradient and Standard Gradient
- Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach
- Robust Deepfake On Unrestricted Media: Generation And Detection
- Feature Construction and Selection for PV Solar Power Modeling
- PQuAD: A Persian Question Answering Dataset
- Emotion Based Hate Speech Detection using Multimodal Learning
- Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
- Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
- StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement
- Unsupervised Disentanglement with Tensor Product Representations on the Torus
- Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
- Data standardization for robust lip sync
- Fairness-aware Configuration of Machine Learning Libraries
- On the Convergence of Clustered Federated Learning
- Learning long-term music representations via hierarchical contextual constraints
- Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
- Efficient Spatial Representation and Routing of Deformable One-Dimensional Objects for Manipulation
- An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes