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Found 6 papers, 5 papers with code
SpliceOut: A Simple and Efficient Audio Augmentation Method
Time masking has become a de facto augmentation technique for speech and audio tasks, including automatic speech recognition (ASR) and audio classification, most notably as a part of SpecAugment.
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning
The original algorithm relies on computationally expensive data augmentation steps that involve perturbing the raw images and computing features for each perturbed image.
Image Augmentation
Semi Supervised Learning for Image Captioning
MemStream: Memory-Based Streaming Anomaly Detection
Given a stream of entries over time in a multi-dimensional data setting where concept drift is present, how can we detect anomalous activities?
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
We propose DIAL, a scalable active learning approach that jointly learns embeddings to maximize recall for blocking and accuracy for matching blocked pairs.
ExGAN: Adversarial Generation of Extreme Samples
Hence, in this work, we propose ExGAN, a GAN-based approach to generate realistic and extreme samples.
MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams
Given a stream of entries in a multi-aspect data setting i. e., entries having multiple dimensions, how can we detect anomalous activities in an unsupervised manner?
Ranked #1 on
Intrusion Detection
on CIC-DDoS
