Controlling Neural Networks with Rule Representations
Learning to Route by Task for Efficient Inference
Training Machine Learning Models More Efficiently with Dataset Distillation
Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize
MURAL: Multimodal, Multi-task Retrieval Across Languages
Decisiveness in Imitation Learning for Robots
MetNet-2: Deep Learning for 12-Hour Precipitation Forecasting
Model Ensembles Are Faster Than You Think
Deciding Which Tasks Should Train Together in Multi-Task Neural Networks
Pathdreamer: A World Model for Indoor Navigation
Toward Fast and Accurate Neural Networks for Image Recognition
Revisiting Mask-Head Architectures for Novel Class Instance Segmentation
Detecting Abnormal Chest X-rays using Deep Learning
Applying Advanced Speech Enhancement in Cochlear Implants
Multi-task Prediction of Organ Dysfunction in ICUs
Improving Genomic Discovery with Machine Learning
Quantum Machine Learning and the Power of Data
Using Variational Transformer Networks to Automate Document Layout Design
Cross-Modal Contrastive Learning for Text-to-Image Generation
ALIGN: Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
