Date

Title

Authors

Grade Science

Grade Readability

16.12.2022

On the information bottleneck theory of deep learning

Saxe et al.

4.7

4.64

2.12.2022

Making Convolutional Networks Shift-Invariant Again

Richard Zhang

5.82

5.64

18.11.2022

Statistical Physics through the Lens of Real-Space Mutual Information

Gökmen et al

4.6

2.71

4.11.2022

The inverse variance–flatness relation in stochastic gradient descent is critical for finding flat minima

Yu Feng and Yuhai Tu

4.94

4.17

15.07.2022

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng

5.91

5.82

01.07.2022

Self-taught Learning: Transfer Learning from Unlabeled Data

Raina et al.

5.0

4.57

17.06.2022

Representation Learning with Contrastive Predictive Coding

van den Oord et al.

5

3.8

03.06.2022

A Generalist Agent

Reed et al.

4.4

4.67

20.05.2022

Visualizing Data using t-SNE

Laurens van der Maaten, Geoffrey Hinton

5.33

5.44

06.05.2022

Three mysteries in deep learning: Ensemble, knowledge distillation, and self-distillation

Zeyuan Allen-Zhu , Yuanzhi Li

5.67

6.22

11.02.2022

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Jonathan Frankle, Michael Carbin

5.11

3.22

28.01.2022

Attack and Defense in Cellular Decision-Making: Lessons from Machine Learning

Thomas J. Rademaker, Emmanuel Bengio, and Paul François

no vote

no vote

14.01.2022

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Dosovitskiy et al

5.55

4.9