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Collections including paper arxiv:2309.16588

Vision Transformers Need Registers

Paper • 2309.16588 • Published Sep 28, 2023 • 78

Paper - Multimodal

Paper related to Multimodal Model - Research for a : Modular, Multimodal, Multi-Stream, Mixture of Expert, Universal Transformer, Matryoshka embedding

Flowing from Words to Pixels: A Framework for Cross-Modality Evolution

Paper • 2412.15213 • Published 27 days ago • 25
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published about 1 month ago • 41
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published 28 days ago • 123
Autoregressive Video Generation without Vector Quantization

Paper • 2412.14169 • Published 28 days ago • 14

Vision Transformers Need Registers

Paper • 2309.16588 • Published Sep 28, 2023 • 78

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning

Paper • 2312.06134 • Published Dec 11, 2023 • 2
Efficient Monotonic Multihead Attention

Paper • 2312.04515 • Published Dec 7, 2023 • 6
Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 37
Exploring Format Consistency for Instruction Tuning

Paper • 2307.15504 • Published Jul 28, 2023 • 7

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023 • 1
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7, 2024 • 14
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 6

Applied Machine Learning Papers

Reading List (Mainly Focused of VLM's and Diffusion Models)

Scalable Diffusion Models with Transformers

Paper • 2212.09748 • Published Dec 19, 2022 • 17
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Paper • 2311.15127 • Published Nov 25, 2023 • 12
Learning Transferable Visual Models From Natural Language Supervision

Paper • 2103.00020 • Published Feb 26, 2021 • 11
U-Net: Convolutional Networks for Biomedical Image Segmentation

Paper • 1505.04597 • Published May 18, 2015 • 9

Papers - Observability and Interpretability

JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention

Paper • 2310.00535 • Published Oct 1, 2023 • 2
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Paper • 2211.00593 • Published Nov 1, 2022 • 2
Rethinking Interpretability in the Era of Large Language Models

Paper • 2402.01761 • Published Jan 30, 2024 • 23
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla

Paper • 2307.09458 • Published Jul 18, 2023 • 10

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11, 2024 • 3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 7
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

interesting papers

Vision Transformers Need Registers

Paper • 2309.16588 • Published Sep 28, 2023 • 78

Vision Transformers Need Registers

Paper • 2309.16588 • Published Sep 28, 2023 • 78
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Paper • 2312.00863 • Published Dec 1, 2023 • 4

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