48:06

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention (Paper Explained)

50:24

Linformer: Self-Attention with Linear Complexity (Paper Explained)

57:00

xLSTM: Extended Long Short-Term Memory

40:13

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

43:51

Feedback Transformers: Addressing Some Limitations of Transformers with Feedback Memory (Explained)

39:13

DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)

1:19:06

Hardware-aware Algorithms for Sequence Modeling - Tri Dao | Stanford MLSys #87

56:49

Decision Transformer: Reinforcement Learning via Sequence Modeling (Research Paper Explained)