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Sik-Ho Tang | Review -- MoCo v3: An Empirical Study of Training Self-Supervised Vision Transformers.

deep-learning

representation-learning

unsupervised-learning

Status: Open.

#140 In NorbertZheng/read-papers;

· NorbertZheng opened on Dec 18, 2023

Sik-Ho Tang | Brief Review -- Self-Supervised Feature Learning by Learning to Spot Artifacts.

cnn

representation-learning

unsupervised-learning

Status: Open.

#136 In NorbertZheng/read-papers;

· NorbertZheng opened on Oct 19, 2023

Sik-Ho Tang | Review -- DETR: End-to-End Object Detection with Transformers.

cnn

deep-learning

transformer

Status: Open.

#135 In NorbertZheng/read-papers;

· NorbertZheng opened on Oct 18, 2023

Sik-Ho Tang | Review -- Unsupervised Feature Learning via Non-Parametric Instance Discrimination.

cnn

constrastive-learning

deep-learning

representation-learning

unsupervised-learning

Status: Open.

#134 In NorbertZheng/read-papers;

· NorbertZheng opened on Sep 1, 2023

Sik-Ho Tang | Review -- BEiT: BERT Pre-Training of Image Transformers.

deep-learning

transformer

Status: Open.

#79 In NorbertZheng/read-papers;

· NorbertZheng opened on Apr 4, 2023

arXiv '23 | Adding Conditional Control to Text-to-Image Diffusion Models.

deep-learning

diffusion-models

Status: Open.

#72 In NorbertZheng/read-papers;

· NorbertZheng opened on Mar 1, 2023

Sik-Ho Tsang | Brief Review -- On the Relationship between Self-Attention and Convolutional Layers.

cnn

deep-learning

transformer

Status: Open.

#68 In NorbertZheng/read-papers;

· NorbertZheng opened on Feb 15, 2023

CMU-10707 Deep Learning.

Status: Open.

#40 In NorbertZheng/read-papers;

· NorbertZheng opened on Oct 23, 2022

JMLR '22 | ReduNet: A white-box deep network from the principle of maximizing rate reduction.

deep-learning

Status: Open.

#29 In NorbertZheng/read-papers;

· NorbertZheng opened on Sep 22, 2022

Nat Comm '21 | Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps.

cognitive-map

computational-model

Status: Open.

#23 In NorbertZheng/read-papers;

· NorbertZheng opened on Mar 14, 2022

Ph.D. '17 | Variational Inference and Deep Learning: A New Synthesis.

variational-inference

Status: Open.

#21 In NorbertZheng/read-papers;

· NorbertZheng opened on Mar 5, 2022

Nat Neuro '21 | Flexible modulation of sequence generation in the entorhinal–hippocampal system.

stochastic-process

theory

Status: Open.

#18 In NorbertZheng/read-papers;

· NorbertZheng opened on Jan 25, 2022