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Contrastive Learning

15 papers with code · Computer Vision

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Improved Baselines with Momentum Contrastive Learning

9 Mar 2020facebookresearch/moco

Contrastive unsupervised learning has recently shown encouraging progress, e. g., in Momentum Contrast (MoCo) and SimCLR.

CONTRASTIVE LEARNING DATA AUGMENTATION REPRESENTATION LEARNING SELF-SUPERVISED IMAGE CLASSIFICATION

Momentum Contrast for Unsupervised Visual Representation Learning

13 Nov 2019facebookresearch/moco

This enables building a large and consistent dictionary on-the-fly that facilitates contrastive unsupervised learning.

CONTRASTIVE LEARNING REPRESENTATION LEARNING SELF-SUPERVISED IMAGE CLASSIFICATION

Contrastive Multiview Coding

ICLR 2020 HobbitLong/CMC

We analyze key properties of the approach that make it work, finding that the contrastive loss outperforms a popular alternative based on cross-view prediction, and that the more views we learn from, the better the resulting representation captures underlying scene semantics.

CONTRASTIVE LEARNING OBJECT CLASSIFICATION SELF-SUPERVISED ACTION RECOGNITION SELF-SUPERVISED IMAGE CLASSIFICATION

Contrastive Representation Distillation

ICLR 2020 HobbitLong/RepDistiller

We demonstrate that this objective ignores important structural knowledge of the teacher network.

CONTRASTIVE LEARNING MODEL COMPRESSION TRANSFER LEARNING

What makes for good views for contrastive learning

20 May 2020HobbitLong/PyContrast

Contrastive learning between multiple views of the data has recently achieved state of the art performance in the field of self-supervised representation learning.

CONTRASTIVE LEARNING DATA AUGMENTATION INSTANCE SEGMENTATION OBJECT DETECTION REPRESENTATION LEARNING SELF-SUPERVISED IMAGE CLASSIFICATION SEMANTIC SEGMENTATION

Contrastive Learning of Structured World Models

ICLR 2020 tkipf/c-swm

Our experiments demonstrate that C-SWMs can overcome limitations of models based on pixel reconstruction and outperform typical representatives of this model class in highly structured environments, while learning interpretable object-based representations.

ATARI GAMES CONTRASTIVE LEARNING REPRESENTATION LEARNING

Supervised Contrastive Learning

23 Apr 2020HobbitLong/SupContrast

In this paper, we propose a novel training methodology that consistently outperforms cross entropy on supervised learning tasks across different architectures and data augmentations.

CALIBRATION CONTRASTIVE LEARNING DATA AUGMENTATION IMAGE CLASSIFICATION SELF-SUPERVISED LEARNING

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

28 Apr 2020denisyarats/drq

We propose a simple data augmentation technique that can be applied to standard model-free reinforcement learning algorithms, enabling robust learning directly from pixels without the need for auxiliary losses or pre-training.

CONTINUOUS CONTROL CONTRASTIVE LEARNING IMAGE AUGMENTATION