Papers
Sun 31 Jan 2021
73 papers
- Fast Rates for the Regret of Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Neural Networks with Complex-Valued Weights Have No Spurious Local Minima
- TDQMF: Two-dimensional quantum mass function
- Towards advancing the earthquake forecasting by machine learning of satellite data
- Infant Cry Classification with Graph Convolutional Networks
- A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG Data
- Ultrasound Image Classification using ACGAN with Small Training Dataset
- A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis
- MalNet: A Large-Scale Image Database of Malicious Software
- CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning
- Quantifying the Global Support Network for Non-State Armed Groups (NAGs)
- Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
- Boosting the Predictive Accurary of Singer Identification Using Discrete Wavelet Transform For Feature Extraction
- GraphEBM: Molecular Graph Generation with Energy-Based Models
- Short Text Clustering with Transformers
- CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics
- Generative and Discriminative Deep Belief Network Classifiers: Comparisons Under an Approximate Computing Framework
- Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional
- Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers
- A Runtime-Based Computational Performance Predictor for Deep Neural Network Training
- Co-Seg: An Image Segmentation Framework Against Label Corruption
- Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning
- Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models
- Fine-tuning Handwriting Recognition systems with Temporal Dropout
- TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting
- SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation
- Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries
- Urban Change Detection by Fully Convolutional Siamese Concatenate Network with Attention
- A Multiscale Environment for Learning by Diffusion
- Learning elliptic partial differential equations with randomized linear algebra
- Online Markov Decision Processes with Aggregate Bandit Feedback
- Nonlinear Evolutionary PDE-Based Refinement of Optical Flow
- Exploring the Geometry and Topology of Neural Network Loss Landscapes
- The impact of prior knowledge on causal structure learning
- Extending Neural Keyword Extraction with TF-IDF tagset matching
- Mixup Regularized Adversarial Networks for Multi-Domain Text Classification
- Adversarial Contrastive Pre-training for Protein Sequences
- PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
- Multilingual Email Zoning
- MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification
- Meta ordinal weighting net for improving lung nodule classification
- Superposition with Lambdas
- Exponential Savings in Agnostic Active Learning through Abstention
- Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss
- M2FN: Multi-step Modality Fusion for Advertisement Image Assessment
- Admix: Enhancing the Transferability of Adversarial Attacks
- The Connection Between Approximation, Depth Separation and Learnability in Neural Networks
- Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
- High Fidelity Speech Regeneration with Application to Speech Enhancement
- PyTorch-Hebbian: facilitating local learning in a deep learning framework
- A Simple yet Brisk and Efficient Active Learning Platform for Text Classification
- Introduction of a novel word embedding approach based on technology labels extracted from patent data
- An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
- Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites
- Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center
- Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness
- Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences
- Tone Mapping Based on Multi-scale Histogram Synthesis
- BNLP: Natural language processing toolkit for Bengali language
- Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting
- The distance between the weights of the neural network is meaningful
- An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languages
- AACP: Model Compression by Accurate and Automatic Channel Pruning
- Contextualized Rewriting for Text Summarization
- Beyond the Signs: Nonparametric Tensor Completion via Sign Series
- Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks
- A Unified Light Framework for Real-time Fault Detection of Freight Train Images
- Classification Models for Partially Ordered Sequences
- MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images
- Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations
- Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
- OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow
- Deep Reformulated Laplacian Tone Mapping