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Normalization Series: What is Batch Normalization?
Saurav Maheshkar
Dec 03
Intermediate, Domain Agnostic, PyTorch, Tutorial, Conv2D, Plots, Tables, MNIST, Normalization, Chum here, Exemplary
Introduction to K-Means Clustering (With Examples)
Saurav Maheshkar
Nov 24
Beginner, Computer Vision, Classification, scikit-learn, Tutorial, Panels, Plots, Iris, K-means, Chum here
An Introduction to Linear Regression For Machine Learning (With Examples)
Saurav Maheshkar
Oct 27
Beginner, Domain Agnostic, scikit-learn, Tutorial, Panels, Plots, Ames Housing, Kaggle
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Joel Joseph
Oct 15
Intermediate, Computer Vision, Classification, Research, iTAML, Github, Panels, Plots, Sweeps, CIFAR-100, CIFAR10, MNIST, RC
Meta-Consolidation for Continual Learning (MERLIN)
Shambhavi Mishra
Oct 08
Intermediate, Computer Vision, Classification, Research, Plots, CIFAR10, ImageNet, MNIST
The Reality Behind Optimization of Imaginary Variables - II
Darshan Deshpande
Oct 05
Advanced, Domain Agnostic, Keras, Experiment, Guide, Panels, Plots, Slider, MNIST
Financial Sentiment Analysis on Stock Market Headlines With FinBERT & HuggingFace
Ivan Goncharov
Sep 30
Intermediate, NLP, Sentiment Analysis, HuggingFace, Experiment, Tutorial, FinBERT, Tables, FiQA, Financial, Exemplary, Large Models, LLM
Backpropagated Gradient Representations for Anomaly Detection
Shambhavi Mishra
Sep 23
Intermediate, Computer Vision, Classification, Research, GradCon, Github, Plots, CIFAR10, MNIST, RC
Uncertainty-Guided Continual Learning With Bayesian Neural Networks
Shravan Nayak
Sep 22
Intermediate, Computer Vision, OCR, Research, Plots, MNIST, RC
Decision Trees: A Guide with Examples
Saurav Maheshkar
Sep 16
Beginner, Domain Agnostic, scikit-learn, Experiment, Tutorial, Plots, Iris, Exemplary
Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)
Sachin Malhotra
Sep 14
Intermediate, Computer Vision, Classification, Research, CNN, ResNet, Github, Plots, CIFAR-100, CIFAR10, ImageNet, RC
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR 2020)
Sachin Malhotra
Sep 09
Intermediate, Computer Vision, Classification, Research, ResNet, Github, Panels, Plots, CIFAR10, RC
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets (CVPR 2020)
Abhay Puri
Sep 02
Intermediate, Computer Vision, Classification, Research, Plots, CIFAR-100, RC
How to Compare Tables in Workspaces
Stacey Svetlichnaya
Aug 31
Beginner, Domain Agnostic, W&B Meta, Tables, MNIST, Exemplary
Bad Global Minima Exist and SGD Can Reach Them
Gustavo Sutter P. Carvalho, João Araújo, João Pedro Rodrigues Mattos, João Marcos Cardoso da Silva, Bruno Gomes Coelho
Aug 23
Intermediate, Computer Vision, Classification, JAX, Research, ResNet, Github, Plots, CIFAR10, RC
How to Fine-Tune BERT for Text Classification
akshay uppal
Aug 20
Intermediate, NLP, Classification, Tutorial, BERT, Panels, Plots, Sweeps, Tables, Kaggle, Exemplary, Large Models, LLM, Fine-tuning
Meta Dropout: Learning to Perturb Latent Features for Better Generalization
Joel Joseph
Aug 12
Intermediate, Computer Vision, Classification, Research, Github, Panels, Plots, Sweeps, ImageNet, Omniglot, RC
When Does Self-Supervision Improve Few-Shot Learning?
Arjun Ashok, Haswanth Aekula
Aug 09
Intermediate, Computer Vision, Classification, Research, ResNet, SSL, Github, Panels, Plots, Sweeps, ImageNet, RC
Feedforward Networks for Image Classification
Saurav Maheshkar
Aug 05
Intermediate, Computer Vision, Classification, MLP, Github, Plots, ImageNet
DALL-E Mini Explained
Boris Dayma, Suraj Patil, Pedro Cuenca, Khalid Saifullah, Tanishq Abraham, Phúc Lê, Luke, Ritobrata Ghosh
Aug 03
Intermediate, Computer Vision, GenAI, OpenAI, Experiment, DALL-E, Panels, Plots, Sweeps, Tables, ImageNet, Large Models
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