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LeBenchmark7K
The LeBenchmark7K dataset is a self-supervised representation of French speech. -
EAT: Enhanced ASR-TTS for Self-Supervised Speech Recognition
Self-supervised ASR-TTS models suffer in out-of-domain data conditions. Here we propose an enhanced ASR-TTS model that incorporates two main features: 1) The ASR→TTS direction... -
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition
We develop techniques for refining representations for fine-grained classification and segmentation tasks in a self-supervised manner. -
Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future C...
A self-supervised spatiotemporal representation learning approach for videos, combining temporal coherence and future clip order ranking. -
Decoupled Contrastive Learning
Contrastive learning is one of the most successful paradigms for self-supervised learning (SSL). In a principled way, it considers two augmented views of the same image as... -
Prototypical Contrastive Learning
Self-supervised learning of pretext-invariant representations. -
Self-supervised and semi-supervised learning for GANs
Self-supervised and semi-supervised learning for GANs -
Geography-aware self-supervised learning
Geography-aware self-supervised learning -
Adaptive Multi-head Contrastive Learning
Adaptive Multi-head Contrastive Learning (AMCL) framework, which tackles intra- and inter-sample similarity and adaptive temperature mechanism re-weighting each similarity pair. -
Relational Self-Supervised Learning
Self-supervised learning framework that maintains the relational consistency between instances under different augmentations. -
T-Drive: Driving Directions Based on Taxi Trajectories
T-Drive dataset for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories -
Probe Data and Privacy
Probe data for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories -
Reachability Embeddings: Scalable Self-Supervised Representation Learning fro...
GPS trajectory dataset for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories -
HuBERT Framework
The dataset used in this paper is a self-supervised audio pre-training framework called HuBERT. -
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the ImageNet, Places205, and VOC07 datasets for evaluation. -
Contrastive multiview coding
Contrastive multiview coding.
