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My paper reading notes.
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Sik-Ho Tang | Review: STN -- Spatial Transformer Network (Image Classification).
#93
NorbertZheng
closed
1 year ago
14
Sik-Ho Tang | Review: PReLU-Net -- The First to Surpass Human-Level Performance in ILSVRC 2015 (Image Classification).
#92
NorbertZheng
closed
1 year ago
8
Sik-Ho Tang | Review: Highway Networks -- Gating Function To Highway (Image Classification).
#91
NorbertZheng
closed
1 year ago
7
Sik-Ho Tang | Review: VGGNet -- 1st Runner-Up (Image Classification), Winner (Localization) in ILSVRC 2014.
#90
NorbertZheng
closed
1 year ago
13
Sik-Ho Tang | Review -- Model Distillation: Distilling the Knowledge in a Neural Network (Image Classification).
#89
NorbertZheng
closed
1 year ago
9
Sik-Ho Tang | Review: SPPNet --1st Runner Up (Object Detection), 2nd Runner Up (Image Classification) in ILSVRC 2014.
#88
NorbertZheng
closed
1 year ago
10
Sik-Ho Tang | Review: ZFNet -- Winner of ILSVRC 2013 (Image Classification).
#87
NorbertZheng
closed
1 year ago
11
Sik-Ho Tang | Review: NIN -- Network In Network (Image Classification).
#86
NorbertZheng
closed
1 year ago
23
Sik-Ho Tang | Review: Maxout Network (Image Classification).
#85
NorbertZheng
closed
1 year ago
9
Sik-Ho Tang | [Paper] Dropout: A Simple Way to Prevent Neural Networks from Overfitting (Image Classification).
#84
NorbertZheng
closed
1 year ago
8
Sik-Ho Tang | Review: AlexNet, CaffeNet -- Winner of ILSVRC 2012 (Image Classification).
#83
NorbertZheng
closed
1 year ago
14
Sik-Ho Tang | Brief Review -- Rectified Linear Units Improve Restricted Boltzmann Machines.
#82
NorbertZheng
closed
1 year ago
6
Sik-Ho Tang | Review -- LeNet-1, LeNet-4, LeNet-5, Boosted LeNet-4 (Image Classification)
#81
NorbertZheng
closed
1 year ago
12
NeurIPS '19 | Convolution with even-sized kernels and symmetric padding.
#80
NorbertZheng
closed
1 year ago
6
Sik-Ho Tang | Review -- BEiT: BERT Pre-Training of Image Transformers.
#79
NorbertZheng
opened
1 year ago
7
Sik-Ho Tsang | Review -- UNETR: Transformers for 3D Medical Image Segmentation.
#78
NorbertZheng
closed
1 year ago
8
Sik-Ho Tsang | Review -- GhostNet: More Features from Cheap Operations.
#77
NorbertZheng
closed
1 year ago
9
ICML '20 | Planning to Explore via Self-Supervised World Models.
#76
NorbertZheng
closed
1 year ago
8
arXiv '23 | PaLM-E: An Embodied Multimodal Language Model.
#75
NorbertZheng
closed
1 year ago
5
ICLR '23 | Training language models to summarize narratives improves brain alignment.
#74
NorbertZheng
closed
1 year ago
3
ICLR '23 | Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness.
#73
NorbertZheng
closed
1 year ago
6
arXiv '23 | Adding Conditional Control to Text-to-Image Diffusion Models.
#72
NorbertZheng
opened
1 year ago
8
Sik-Ho Tsang | Review: Representation Learning with Contrastive Predictive Coding (CPC/CPCv1).
#71
NorbertZheng
closed
1 year ago
11
Sik-Ho Tsang | Brief Review -- Learning Deep Representations by Mutual Information Estimation and Maximization.
#70
NorbertZheng
closed
1 year ago
11
Arthur Juliani | Learning Policies For Learning Policies -- Meta Reinforcement Learning (RL²) in Tensorflow.
#69
NorbertZheng
closed
1 year ago
7
Sik-Ho Tsang | Brief Review -- On the Relationship between Self-Attention and Convolutional Layers.
#68
NorbertZheng
opened
1 year ago
9
Edward Ma | A Gentle Introduction to Meta-Learning.
#67
NorbertZheng
closed
1 year ago
13
Jonathan Hui | RL -- Meta-Learning.
#66
NorbertZheng
closed
1 year ago
15
ICLR '23 | Encoding recurrence into Transformers.
#65
NorbertZheng
closed
1 year ago
15
NeurIPS '17 | Dilated Recurrent Neural Networks.
#64
NorbertZheng
closed
1 year ago
8
Naoki | Transformer’s Positional Encoding: How Does It Know Word Positions Without Recurrence?
#63
NorbertZheng
closed
1 year ago
10
Sik-Ho Tsang | Review: Learning Word Embeddings Efficiently with Noise-Contrastive Estimation (NCE).
#62
NorbertZheng
closed
1 year ago
8
NeurIPS '21 | Early Convolutions Help Transformers See Better.
#61
NorbertZheng
closed
1 year ago
5
Tech Insights | Graph Contrastive Learning.
#60
NorbertZheng
closed
1 year ago
5
Alibaba Cloud | GCC: Graph Contrastive Coding for Graph Neural Network Pre-training.
#59
NorbertZheng
closed
1 year ago
5
Sik-Ho Tsang | Review: DCGAN -- Deep Convolutional Generative Adversarial Network (GAN).
#58
NorbertZheng
closed
1 year ago
11
Zichen Wang | Contrasting contrastive loss functions.
#57
NorbertZheng
closed
1 year ago
11
Zichen Wang | Contrastive loss for supervised classification.
#56
NorbertZheng
closed
1 year ago
9
Sik-Ho Tsang | Brief Review: Supervised Contrastive Learning.
#55
NorbertZheng
closed
1 year ago
5
Vijay Prakash Dwivedi | Graph Transformer: A Generalization of Transformers to Graphs.
#54
NorbertZheng
closed
1 year ago
9
Sik-Ho Tsang | Review -- BiGAN: Adversarial Feature Learning (GAN).
#53
NorbertZheng
closed
1 year ago
7
Sik-Ho Tsang | Review -- ALI: Adversarially Learned Inference (GAN).
#52
NorbertZheng
closed
1 year ago
10
Sik-Ho Tsang | Review: Vision Transformer (ViT).
#51
NorbertZheng
closed
1 year ago
11
Vishal Rajput | Constrasrive learning explained.
#50
NorbertZheng
closed
1 year ago
10
Stefano Bosisio | Graph Neural Networks: A learning journey since 2008 -- Graph Attention Networks.
#49
NorbertZheng
closed
1 year ago
11
Edward Ma | 4 Graph Neural Networks you Need to Know (WLG, GCN, GAT, GIN).
#48
NorbertZheng
closed
1 year ago
8
Edward Ma | Random Walk in Node Embeddings (DeepWalk, node2vec, LINE, and GraphSAGE).
#47
NorbertZheng
closed
1 year ago
9
Spatial Graph ConvNets.
#46
NorbertZheng
closed
1 year ago
7
Chaitanya K. Joshi | Transformers are Graph Neural Networks.
#45
NorbertZheng
closed
1 year ago
17
Expectation-Maximization: theory and intuition.
#44
NorbertZheng
closed
2 years ago
13
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