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Collections including paper arxiv:2312.10035

Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Perspectives on the State and Future of Deep Learning - 2023

Paper • 2312.09323 • Published Dec 7, 2023 • 8
MobileSAMv2: Faster Segment Anything to Everything

Paper • 2312.09579 • Published Dec 15, 2023 • 24
Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 23

Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 23

In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 43
Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 23
Extending Context Window of Large Language Models via Semantic Compression

Paper • 2312.09571 • Published Dec 15, 2023 • 16
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation

Paper • 2312.17276 • Published Dec 27, 2023 • 16

aMUSEd: An Open MUSE Reproduction

Paper • 2401.01808 • Published Jan 3, 2024 • 31
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3, 2024 • 28
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity

Paper • 2401.00604 • Published Dec 31, 2023 • 6
LARP: Language-Agent Role Play for Open-World Games

Paper • 2312.17653 • Published Dec 24, 2023 • 33

Transformers & MoE

SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

Paper • 2312.07987 • Published Dec 13, 2023 • 41
Interfacing Foundation Models' Embeddings

Paper • 2312.07532 • Published Dec 12, 2023 • 11
Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 23
TheBloke/quantum-v0.01-GPTQ

Text Generation • 7B • Updated Dec 18, 2023 • 15 • 2

Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Perspectives on the State and Future of Deep Learning - 2023

Paper • 2312.09323 • Published Dec 7, 2023 • 8
MobileSAMv2: Faster Segment Anything to Everything

Paper • 2312.09579 • Published Dec 15, 2023 • 24
Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 23

aMUSEd: An Open MUSE Reproduction

Paper • 2401.01808 • Published Jan 3, 2024 • 31
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3, 2024 • 28
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity

Paper • 2401.00604 • Published Dec 31, 2023 • 6
LARP: Language-Agent Role Play for Open-World Games

Paper • 2312.17653 • Published Dec 24, 2023 • 33

Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 23

Transformers & MoE

SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

Paper • 2312.07987 • Published Dec 13, 2023 • 41
Interfacing Foundation Models' Embeddings

Paper • 2312.07532 • Published Dec 12, 2023 • 11
Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 23
TheBloke/quantum-v0.01-GPTQ

Text Generation • 7B • Updated Dec 18, 2023 • 15 • 2

In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 43
Point Transformer V3: Simpler, Faster, Stronger

Paper • 2312.10035 • Published Dec 15, 2023 • 23
Extending Context Window of Large Language Models via Semantic Compression

Paper • 2312.09571 • Published Dec 15, 2023 • 16
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation

Paper • 2312.17276 • Published Dec 27, 2023 • 16

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