Scaling Vision with Sparse Mixture of Experts
Training Machine Learning Models More Efficiently with Dataset Distillation
More Efficient In-Context Learning with GLaM
General and Scalable Parallelization for Neural Networks
Decisiveness in Imitation Learning for Robots
Permutation-Invariant Neural Networks for Reinforcement Learning
MetNet-2: Deep Learning for 12-Hour Precipitation Forecasting
Making Better Future Predictions by Watching Unlabeled Videos
Practical Differentially Private Clustering
How Underspecification Presents Challenges for Machine Learning
Baselines for Uncertainty and Robustness in Deep Learning
FedJAX: Federated Learning Simulation with JAX
Music Conditioned 3D Dance Generation with AIST++
Discovering Anomalous Data with Self-Supervised Learning
Improved Detection of Elusive Polyps via Machine Learning
High Fidelity Image Generation Using Diffusion Models
Quickly Training Game-Playing Agents with Machine Learning
Improving Genomic Discovery with Machine Learning
Learning an Accurate Physics Simulator via Adversarial Reinforcement Learning
KELM: Integrating Knowledge Graphs with Language Model Pre-training Corpora
