Papers
Sat 3 Apr 2021
65 papers
- Knowledge Distillation For Wireless Edge LearningKnowledge distillation → Federated, robust and private distillation
- Diff-TTS: A Denoising Diffusion Model for Text-to-SpeechDiffusion models → Audio, speech and music
- No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODEOffline RL and imitation learning from data → Imitation learning methods
- Gradient-based Adversarial Deep Modulation Classification with Data-driven Subsampling
- SetConv: A New Approach for Learning from Imbalanced Data
- Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints
- Cross-Modal learning for Audio-Visual Video Parsing
- Mutual Graph Learning for Camouflaged Object Detection
- Neural Process for Black-Box Model Optimization Under Bayesian Framework
- Topological Regularization for Graph Neural Networks Augmentation
- STL Robustness Risk over Discrete-Time Stochastic Processes
- Towards Self-Adaptive Metric Learning On the Fly
- Mitigating Gradient-based Adversarial Attacks via Denoising and Compression
- Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
- Medical Entity Disambiguation Using Graph Neural Networks
- Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization
- Do We Need Anisotropic Graph Neural Networks?
- "Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks
- Exploring the Role of BERT Token Representations to Explain Sentence Probing Results
- A surrogate loss function for optimization of Fβ score in binary classification with imbalanced data
- Few-Shot Keyword Spotting in Any Language
- MR-Contrast-Aware Image-to-Image Translations with Generative Adversarial Networks
- Sexism detection: The first corpus in Algerian dialect with a code-switching in Arabic/ French and English
- COHORTNEY: Non-Parametric Clustering of Event Sequences
- Monte Carlo Simulation of SDEs using GANs
- Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management
- Aggregated Contextual Transformations for High-Resolution Image Inpainting
- Graph Contrastive Clustering
- A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?
- Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
- Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability
- IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
- New Benchmarks for Learning on Non-Homophilous Graphs
- Neural Network Robustness as a Verification Property: A Principled Case Study
- Joint Geometric and Topological Analysis of Hierarchical Datasets
- MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
- On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR
- ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi
- Learning Mobile CNN Feature Extraction Toward Fast Computation of Visual Object Tracking
- speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment
- Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing
- Interpretable Unsupervised Diversity Denoising and Artefact Removal
- Convex Aggregation for Opinion Summarization
- Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data
- From n-grams to trees in Lindenmayer systems
- Deepfake Detection Scheme Based on Vision Transformer and Distillation
- Random Features for the Neural Tangent Kernel
- Generation of Gradient-Preserving Images allowing HOG Feature Extraction
- Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification
- Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing
- Uncertainty for Identifying Open-Set Errors in Visual Object Detection
- DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images
- Efficient DETR: Improving End-to-End Object Detector with Dense Prior
- Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology
- Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation
- Multimedia Technology Applications and Algorithms: A Survey
- Finding Variants for Construction-Based Dialectometry: A Corpus-Based Approach to Regional CxGs
- Multi-Unit Directional Measures of Association: Moving Beyond Pairs of Words
- Representations of Language Varieties Are Reliable Given Corpus Similarity Measures
- Extraction of instantaneous frequencies and amplitudes in nonstationary time-series data
- Fingerspelling Detection in American Sign Language
- Measuring Linguistic Diversity During COVID-19
- Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems
- Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
- End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance Detector (MKID) Resonator Identification and Tuning