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Collections including paper arxiv:1512.03385

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

Paper • 1810.04805 • Published Oct 11, 2018 • 17
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6

Ilya 30u30 (Partial)

A selection of papers recommended by Ilya Sutskever to be up-to-speed on the bleeding edge in AI (at least the ones with ArXiv links).

Recurrent Neural Network Regularization

Paper • 1409.2329 • Published Sep 8, 2014
Pointer Networks

Paper • 1506.03134 • Published Jun 9, 2015
Order Matters: Sequence to sequence for sets

Paper • 1511.06391 • Published Nov 19, 2015
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Paper • 1811.06965 • Published Nov 16, 2018

computer vision papers 👓

Rich feature hierarchies for accurate object detection and semantic segmentation

Paper • 1311.2524 • Published Nov 11, 2013 • 1
DeepPose: Human Pose Estimation via Deep Neural Networks

Paper • 1312.4659 • Published Dec 17, 2013 • 1
Generative Adversarial Networks

Paper • 1406.2661 • Published Jun 10, 2014 • 4
scikit-image: Image processing in Python

Paper • 1407.6245 • Published Jul 23, 2014 • 1

Ilya's papers for Carmack

Ilya Sutskever: "If you really learn all of these, you’ll know 90% of what matters today." Full list: https://punkx.org/jackdoe/30.html

Recurrent Neural Network Regularization

Paper • 1409.2329 • Published Sep 8, 2014
Pointer Networks

Paper • 1506.03134 • Published Jun 9, 2015
Order Matters: Sequence to sequence for sets

Paper • 1511.06391 • Published Nov 19, 2015
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Paper • 1811.06965 • Published Nov 16, 2018

Papers - Image - Training - Per-class Regressor (PCR)

Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6

Papers - Custom Layers - No Dropout - Batch Normalization

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Paper • 1502.03167 • Published Feb 11, 2015 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6

Papers - Image - Datasets - ImageNet

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 23
Efficient Transformer Encoders for Mask2Former-style models

Paper • 2404.15244 • Published Apr 23, 2024 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6

Papers - Image - Datasets - CIFAR

All you need is a good init

Paper • 1511.06422 • Published Nov 19, 2015 • 1
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Paper • 2404.14507 • Published Apr 22, 2024 • 23
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 6
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 14

Papers - Image - Coco Testing

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

Paper • 2310.03502 • Published Oct 5, 2023 • 78
Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Paper • 2404.07448 • Published Apr 11, 2024 • 12
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11, 2024 • 32
COCONut: Modernizing COCO Segmentation

Paper • 2404.08639 • Published Apr 12, 2024 • 29

Papers - Microsoft

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22, 2024 • 33
GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling

Paper • 2403.19655 • Published Mar 28, 2024 • 19
WavLLM: Towards Robust and Adaptive Speech Large Language Model

Paper • 2404.00656 • Published Mar 31, 2024 • 11
Enabling Memory Safety of C Programs using LLMs

Paper • 2404.01096 • Published Apr 1, 2024 • 1

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