Issues

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

  deep-learningrepresentation-learningunsupervised-learning
  NorbertZheng/read-papers#140 · Filter by author NorbertZheng opened on Dec 18, 2023
  5

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

  cnnrepresentation-learningunsupervised-learning
  NorbertZheng/read-papers#136 · Filter by author NorbertZheng opened on Oct 19, 2023
  2

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

  cnndeep-learningtransformer
  NorbertZheng/read-papers#135 · Filter by author NorbertZheng opened on Oct 18, 2023
  1

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

  cnnconstrastive-learningdeep-learningrepresentation-learningunsupervised-learning
  NorbertZheng/read-papers#134 · Filter by author NorbertZheng opened on Sep 1, 2023
  11

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

  deep-learningtransformer
  NorbertZheng/read-papers#79 · Filter by author NorbertZheng opened on Apr 4, 2023
  7

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

  deep-learningdiffusion-models
  NorbertZheng/read-papers#72 · Filter by author NorbertZheng opened on Mar 1, 2023
  8

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

  cnndeep-learningtransformer
  NorbertZheng/read-papers#68 · Filter by author NorbertZheng opened on Feb 15, 2023
  9

• CMU-10707 Deep Learning.

  NorbertZheng/read-papers#40 · Filter by author NorbertZheng opened on Oct 23, 2022
  11

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

  deep-learning
  NorbertZheng/read-papers#29 · Filter by author NorbertZheng opened on Sep 22, 2022
  7

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

  cognitive-mapcomputational-model
  NorbertZheng/read-papers#23 · Filter by author NorbertZheng opened on Mar 14, 2022
  1

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

  variational-inference
  NorbertZheng/read-papers#21 · Filter by author NorbertZheng opened on Mar 5, 2022
  10

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

  stochastic-processtheory
  NorbertZheng/read-papers#18 · Filter by author NorbertZheng opened on Jan 25, 2022

• Cell '20 | The Tolman-Eichenbaum machine: Unifying space and relational memory through generalization in the hippocampal formation.

  cognitive-mapcomputational-modeltheory
  NorbertZheng/read-papers#16 · Filter by author NorbertZheng opened on Jan 13, 2022
  23

• Nat Neuro '17 | The hippocampus as a predictive map.

  hippocampusreinforcement-learningtheory
  NorbertZheng/read-papers#11 · Filter by author NorbertZheng opened on Dec 4, 2021
  2

• Nat Rev Neuro '21 | Neural tuning and representational geometry.

  manifoldtheory
  NorbertZheng/read-papers#8 · Filter by author NorbertZheng opened on Oct 11, 2021
  19

• NeurIPS '21 | Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks.

  CANNstochastic-process
  NorbertZheng/read-papers#7 · Filter by author NorbertZheng opened on Oct 1, 2021

• eLife '21 | Temporally delayed linear modelling (TDLM) measures replay in both animals and humans.

  data-analysisreplay
  NorbertZheng/read-papers#6 · Filter by author NorbertZheng opened on Sep 27, 2021

• Nat Neuro '19 | Task representations in neural networks trained to perform many cognitive tasks.

  computational-modelmultitask
  NorbertZheng/read-papers#4 · Filter by author NorbertZheng opened on Aug 28, 2021

• Nature '19 | High-dimensional geometry of population responses in visual cortex.

  multitaskpower-lawvisual-cortex
  NorbertZheng/read-papers#2 · Filter by author NorbertZheng opened on Aug 22, 2021