Papers
Sun 28 Feb 2021
78 papers
- Distilling Knowledge via Intermediate ClassifiersKnowledge distillation → General knowledge distillation methods
- EKMP: Generalized Imitation Learning with Adaptation, Nonlinear Hard Constraints and Obstacle AvoidanceOffline RL and imitation learning from data → Robot learning from demonstration
- Alignment Knowledge Distillation for Online Streaming Attention-based Speech RecognitionKnowledge distillation → Speech and audio distillation
- Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor ControlOffline RL and imitation learning from data → Robot manipulation imitation learning
- Moroccan Dialect -Darija- Open Dataset
- Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data
- Emotion recognition techniques with rule based and machine learning approaches
- Achieving Competitive Play Through Bottom-Up Approach in Semantic Segmentation
- Feedback Coding for Active Learning
- OpenICS: Open Image Compressive Sensing Toolbox and Benchmark
- Identification of Significant Permissions for Efficient Android Malware Detection
- Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering
- On the Subbagging Estimation for Massive Data
- Scaling up Mean Field Games with Online Mirror Descent
- Active learning based generative design for the discovery of wide bandgap materials
- Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection
- Virus-MNIST: A Benchmark Malware Dataset
- Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database
- Learning Symbolic Operators for Task and Motion Planning
- A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images
- Symbiotic Hybrid Neural Network Watchdog For Outlier Detection
- A Stein Goodness of fit Test for Exponential Random Graph Models
- RuSentEval: Linguistic Source, Encoder Force!
- An Introduction to Johnson-Lindenstrauss Transforms
- CREATe: Clinical Report Extraction and Annotation Technology
- Perspectives on individual animal identification from biology and computer vision
- Is Simple Uniform Sampling Effective for Center-Based Clustering with Outliers: When and Why?
- A Survey on Deep Semi-supervised Learning
- Snowy Night-to-Day Translator and Semantic Segmentation Label Similarity for Snow Hazard Indicator
- On the Utility of Gradient Compression in Distributed Training Systems
- Deep Neural Networks with ReLU-Sine-Exponential Activations Break Curse of Dimensionality in Approximation on H"older Class
- Towards Conversational Humor Analysis and Design
- Accelerated Jarzynski Estimator with Deterministic Virtual Trajectories
- Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation
- KANDINSKYPatterns -- An experimental exploration environment for Pattern Analysis and Machine Intelligence
- Citizen Participation and Machine Learning for a Better Democracy
- Where the Action is: Let's make Reinforcement Learning for Stochastic Dynamic Vehicle Routing Problems work!
- Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
- Exploring the social influence of Kaggle virtual community on the M5 competition
- Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks
- Topic Modelling Meets Deep Neural Networks: A Survey
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
- NLP-CUET@DravidianLangTech-EACL2021: Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes
- On Introducing Automatic Test Case Generation in Practice: A Success Story and Lessons Learned
- NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner
- NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers
- Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
- Dynamic Sample Complexity for Exact Sparse Recovery using Sequential Iterative Hard Thresholding
- Learning for Visual Navigation by Imagining the Success
- Ensemble Bootstrapping for Q-Learning
- Explore User Neighborhood for Real-time E-commerce Recommendation
- Training Generative Adversarial Networks in One Stage
- Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
- SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments
- Logic Embeddings for Complex Query Answering
- Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization
- Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
- A Minimax Probability Machine for Non-Decomposable Performance Measures
- Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples
- Hierarchical Inducing Point Gaussian Process for Inter-domain Observations
- Adaptive Regularized Submodular Maximization
- Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition
- Adversarial Information Bottleneck
- LRG at TREC 2020: Document Ranking with XLNet-Based Models
- Towards Efficient Local Causal Structure Learning
- Communication-efficient Byzantine-robust distributed learning with statistical guarantee
- Neural Network Approach to Construction of Classical Integrable Systems
- Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
- Towards Continual, Online, Self-Supervised Depth
- PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
- A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis
- Confronting Machine Learning With Financial Research
- Predicting post-operative right ventricular failure using video-based deep learning
- Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
- Discriminative Multiple Canonical Correlation Analysis for Information Fusion
- Exploration and Incentives in Reinforcement Learning
- The Labeled Multiple Canonical Correlation Analysis for Information Fusion
- Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads