Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper
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2310.20587
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Published
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18
Papers - Custom Layers
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JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention
Paper • 2310.00535 • Published • 2 -
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla
Paper • 2307.09458 • Published • 11 -
The Impact of Depth and Width on Transformer Language Model Generalization
Paper • 2310.19956 • Published • 10 -
Veagle: Advancements in Multimodal Representation Learning
Paper • 2403.08773 • Published • 10 -
Hash Layers For Large Sparse Models
Paper • 2106.04426 • Published • 2 -
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers
Paper • 2311.10642 • Published • 26 -
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
Paper • 2402.02622 • Published • 3 -
The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 82 -
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 19 -
Condition-Aware Neural Network for Controlled Image Generation
Paper • 2404.01143 • Published • 13 -
Locating and Editing Factual Associations in GPT
Paper • 2202.05262 • Published • 1 -
MLP Can Be A Good Transformer Learner
Paper • 2404.05657 • Published • 1 -
Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective
Paper • 2404.07200 • Published • 2 -
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 38 -
Scaling MLPs: A Tale of Inductive Bias
Paper • 2306.13575 • Published • 16 -
GLIGEN: Open-Set Grounded Text-to-Image Generation
Paper • 2301.07093 • Published • 4 -
All you need is a good init
Paper • 1511.06422 • Published • 1 -
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Paper • 2404.16710 • Published • 80 -
Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3
Paper • 2405.00664 • Published • 20 -
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
Paper • 2403.07809 • Published • 1 -
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Paper • 2410.23168 • Published • 24 -
Augmenting Self-attention with Persistent Memory
Paper • 1907.01470 • Published • 1 -
Memory Layers at Scale
Paper • 2412.09764 • Published • 5