How to Use Weights & Biases in the Classroom

Collaborative Research and Publication-Ready Graphics with W&B

Weights & Biases: Your Automated Logging Companion for Reproducible Research

Modern Evolution Strategies for Creativity

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Block-NeRF: Scalable Large Scene Neural View Synthesis

Graph Neural Networks (GNNs) with Learnable Structural and Positional Representations

WebFormer: The Next Logical Step In Structure Information Extraction

iTAML: An Incremental Task-Agnostic Meta-learning Approach

Meta-Consolidation for Continual Learning (MERLIN)

JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm

Backpropagated Gradient Representations for Anomaly Detection

Uncertainty-Guided Continual Learning With Bayesian Neural Networks

Hyperparameter Optimization for HuggingFace Transformers

Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)

Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR 2020)

Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification

Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets (CVPR 2020)

Bad Global Minima Exist and SGD Can Reach Them

Meta Dropout: Learning to Perturb Latent Features for Better Generalization