Papers
Mon 25 Apr 2022
162 papers
- Selective Cross-Task DistillationKnowledge distillation → General knowledge distillation methods
- Imitation Learning from Observations under Transition Model DisparityOffline RL and imitation learning from data → Imitation learning methods
- Road Traffic Law Adaptive Decision-making for Self-Driving VehiclesEnd-to-end autonomous driving → Reinforcement learning for driving
- Energy Efficient Routing For Underwater Acoustic Sensor Network Using Genetic Algorithm
- CONTINUER: Maintaining Distributed DNN Services During Edge Failures
- Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?
- Testing predictive automated driving systems: lessons learned and future recommendations
- Transformation-Interaction-Rational Representation for Symbolic Regression
- Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems
- A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles
- Meta Transfer Learning for Early Success Prediction in MOOCs
- TEMOS: Generating diverse human motions from textual descriptions
- Analysing the Influence of Attack Configurations on the Reconstruction of Medical Images in Federated Learning
- A very preliminary analysis of DALL-E 2
- PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings
- Meshless method stencil evaluation with machine learning
- Using the Projected Belief Network at High Dimensions
- Trainable Compound Activation Functions for Machine Learning
- Topological Data Analysis for Anomaly Detection in Host-Based Logs
- AI-Assisted Authentication: State of the Art, Taxonomy and Future Roadmap
- Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms
- Supervised Attention in Sequence-to-Sequence Models for Speech Recognition
- On Machine Learning-Driven Surrogates for Sound Transmission Loss Simulations
- Low-dimensional representation of infant and adult vocalization acoustics
- Estimating the Personality of White-Box Language Models
- Contrastive learning-based computational histopathology predict differential expression of cancer driver genes
- Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit
- C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval
- When adversarial examples are excusable
- BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy pose estimation
- End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning
- Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System
- Estimating and Penalizing Induced Preference Shifts in Recommender Systems
- SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text
- Spontaneous Emergence of Computation in Network Cascades
- Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials
- Robust Dual-Graph Regularized Moving Object Detection
- Discrete-Continuous Smoothing and Mapping
- On-demand compute reduction with stochastic wav2vec 2.0
- Temporal Relevance Analysis for Video Action Models
- Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence
- Super-Prompting: Utilizing Model-Independent Contextual Data to Reduce Data Annotation Required in Visual Commonsense Tasks
- DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation
- Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection
- How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language
- Learning First-Order Symbolic Planning Representations That Are Grounded
- Reinforcement Teaching
- ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
- Evolutionary latent space search for driving human portrait generation
- Multi-objective Pointer Network for Combinatorial Optimization
- Mapping Research Trajectories
- Data Uncertainty without Prediction Models
- GDGRU-DTA: Predicting Drug-Target Binding Affinity Based on GNN and Double GRU
- Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification
- Real or Virtual: A Video Conferencing Background Manipulation-Detection System
- Completing Networks by Learning Local Connection Patterns
- Proto2Proto: Can you recognize the car, the way I do?
- Skill-based Meta-Reinforcement Learning
- Task-Induced Representation Learning
- Semi-Parametric Neural Image Synthesis
- StyleGAN-Human: A Data-Centric Odyssey of Human Generation
- Zero-Shot Logit Adjustment
- Exoplanet Cartography using Convolutional Neural Networks
- Real-Time Neural Character Rendering with Pose-Guided Multiplane Images
- Translation between Molecules and Natural Language
- Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis
- PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
- Performer: A Novel PPG-to-ECG Reconstruction Transformer for a Digital Biomarker of Cardiovascular Disease Detection
- Online Deep Learning from Doubly-Streaming Data
- Can Rationalization Improve Robustness?
- Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
- Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
- Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders
- Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning
- CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection
- LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection
- Adversarial Attention for Human Motion Synthesis
- A feasibility study proposal of the predictive model to enable the prediction of population susceptibility to COVID-19 by analysis of vaccine utilization for advising deployment of a booster dose
- Discovering changes in birthing narratives during COVID-19
- KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning
- Forecasting Electricity Prices
- 4DAC: Learning Attribute Compression for Dynamic Point Clouds
- On the Performance of Machine Learning Methods for Breakthrough Curve Prediction
- Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning
- Masked Image Modeling Advances 3D Medical Image Analysis
- The Galactic 3D large-scale dust distribution via Gaussian process regression on spherical coordinates
- The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
- Tac2Pose: Tactile Object Pose Estimation from the First Touch
- ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching
- Estimation of Reliable Proposal Quality for Temporal Action Detection
- Deep electric field predictions by drift-reduced Braginskii theory with plasma-neutral interactions based upon experimental images of boundary turbulence
- Data-driven prediction and control of extreme events in a chaotic flow
- Conversational Question Answering on Heterogeneous Sources
- HyperNCA: Growing Developmental Networks with Neural Cellular Automata
- Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking
- Deep-learning-enabled Brain Hemodynamic Mapping Using Resting-state fMRI
- Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
- Loss-based Sequential Learning for Active Domain Adaptation
- A Survey on Word Meta-Embedding Learning
- Algorithms and Theory for Supervised Gradual Domain Adaptation
All 162
- Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
- Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks
- Integrating Prior Knowledge in Post-hoc Explanations
- Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans
- Machine learning of the well known things
- A Simple Structure For Building A Robust Model
- Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training
- Which Discriminator for Cooperative Text Generation?
- Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection
- A global analysis of metrics used for measuring performance in natural language processing
- Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing
- Determinantal Point Process Likelihoods for Sequential Recommendation
- Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction
- Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study
- PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation
- LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback
- Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives
- FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
- Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at Night
- VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
- Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing
- Multimodal Dual Emotion with Fusion of Visual Sentiment for Rumor Detection
- A Spatio-Temporal Multilayer Perceptron for Gesture Recognition
- Quantifying Unknown Quantum Entanglement via a Hybrid Quantum-Classical Machine Learning Framework
- Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising?
- AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer
- "Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
- End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network
- Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer
- Local Hypergraph-based Nested Named Entity Recognition as Query-based Sequence Labeling
- Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods
- IMDeception: Grouped Information Distilling Super-Resolution Network
- ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference
- Islander: A Real-Time News Monitoring and Analysis System
- Natural Language to Code Translation with Execution
- OCFormer: One-Class Transformer Network for Image Classification
- High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation
- Aspect-based Analysis of Advertising Appeals for Search Engine Advertising
- Boosting Pruned Networks with Linear Over-parameterization
- SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images
- Joint Feature Distribution Alignment Learning for NIR-VIS and VIS-VIS Face Recognition
- Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
- Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
- BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
- It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers
- Trusted Multi-View Classification with Dynamic Evidential Fusion
- Audio-Visual Scene Classification Using A Transfer Learning Based Joint Optimization Strategy
- Riemannian Hamiltonian methods for min-max optimization on manifolds
- Uncoupled Learning Dynamics with O(log T) Swap Regret in Multiplayer Games
- Single Object Tracking Research: A Survey
- Dynamic Point Cloud Compression with Cross-Sectional Approach
- Headline Diagnosis: Manipulation of Content Farm Headlines
- Accelerated Multiplicative Weights Update Avoids Saddle Points almost always
- Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting
- Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations
- PointInst3D: Segmenting 3D Instances by Points
- Efficient Neural Neighborhood Search for Pickup and Delivery Problems
- Tensorial tomographic differential phase-contrast microscopy
- Video Frame Interpolation Based on Deformable Kernel Region
- Financial data analysis application via multi-strategy text processing
- DRT: A Lightweight Single Image Deraining Recursive Transformer
- Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extraction