AI/ML claims from 2017

AdamW optimizer introduced in paper: Decoupled Weight Decay Regularization (Loshchilov & Hutter, 2017).

b6d51eba4fc7f918 · 2 sources · 100% confidence

FAISS introduced in: Johnson, Douze, Jégou 2017 — Facebook AI Similarity Search.

7ee9546a5a7d851e · 2 sources · 100% confidence

Mixture of Experts (MoE) revival popularized in: Shazeer et al. 2017 — outrageously large neural networks via sparse gating.

f068236101568ad7 · 2 sources · 100% confidence

Proximal Policy Optimization (PPO) introduced in paper: Proximal Policy Optimization Algorithms (Schulman et al., 2017).

00f224e1ccc158ef · 2 sources · 100% confidence

PyTorch publicly released on: 2017-01-18 by Facebook AI Research.

76c83fea654bb445 · 2 sources · 100% confidence

Reinforcement Learning from Human Feedback (RLHF) introduced in paper: Deep Reinforcement Learning from Human Preferences (Christiano et al., 2017).

67866330cd60e54d · 3 sources · 100% confidence

Sparsely-Gated Mixture-of-Experts (MoE) introduced in paper: Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer (Shazeer et al., 2017).

2d6d7f61f1db6493 · 1 source · 100% confidence

Transformer architecture introduced in paper: Attention Is All You Need (Vaswani et al., 2017).

ad17e76a8baad7a1 · 3 sources · 100% confidence

Capsule Networks introduced in paper: Dynamic Routing Between Capsules (Sabour et al., 2017).

85830e585d195157 · 2 sources · 82% confidence

Mask R-CNN introduced in paper: Mask R-CNN (He et al., 2017).

927b56032c69c6e5 · 2 sources · 82% confidence