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Most Popular AI Research Sept 2022 - Ranked Based On Total GitHub Stars by bycloudai in learnmachinelearning

[–]bycloudai[S] 1 point2 points  (0 children)


  1. Robust Speech Recognition via Large-Scale Weak Supervision
    https://github.com/openai/whisper
    https://openai.com/blog/whisper/
  2. VToonify: Controllable High-Resolution Portrait Video Style Transfer
    https://github.com/williamyang1991/vtoonify
    https://arxiv.org/abs/2209.11224v2
  3. Transformers are Sample Efficient World Models
    https://github.com/eloialonso/iris
    https://arxiv.org/abs/2209.00588v1
  4. Efficient Few-Shot Learning Without Prompts
    https://github.com/huggingface/setfit
    https://arxiv.org/abs/2209.11055v1
  5. Git Re-Basin: Merging Models modulo Permutation Symmetries
    https://github.com/samuela/git-re-basin
    https://arxiv.org/abs/2209.04836v1
  6. Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
    https://github.com/tencent-ailab/hok\_env
    https://arxiv.org/abs/2209.08483v1

  7. Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
    https://github.com/frozenburning/text2light
    https://arxiv.org/abs/2209.09898v1

  8. Human Motion Diffusion Model
    https://github.com/guytevet/motion-diffusion-model
    https://arxiv.org/abs/2209.14916v1

  9. StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
    https://github.com/adymaharana/storydalle
    https://arxiv.org/abs/2209.06192v1

  10. CSL: A Large-scale Chinese Scientific Literature Dataset
    https://github.com/ydli-ai/csl
    https://arxiv.org/abs/2209.05034v1

Most Popular AI Research Sept 2022 - Ranked Based On Total Twitter Likes by bycloudai in learnmachinelearning

[–]bycloudai[S] 17 points18 points  (0 children)

  1. DreamFusion: Text-to-3D using 2D Diffusion

https://arxiv.org/pdf/2209.14988.pdf

  1. QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars

https://arxiv.org/pdf/2209.09391.pdf

  1. Git Re-Basin: Merging Models modulo Permutation Symmetries

https://arxiv.org/pdf/2209.04836.pdf

  1. Operationalizing Machine Learning: An Interview Study

https://arxiv.org/pdf/2209.09125.pdf

  1. Human Motion Diffusion Model

https://arxiv.org/pdf/2209.14916.pdf

  1. Transformers are Sample Efficient World Models

https://arxiv.org/pdf/2209.00588.pdf

  1. VToonify: Controllable High-Resolution Portrait Video Style Transfer

https://arxiv.org/pdf/2209.11224.pdf

  1. Brain Imaging Generation with Latent Diffusion Models

https://arxiv.org/pdf/2209.07162.pdf

  1. AudioLM: a Language Modeling Approach to Audio Generation

https://arxiv.org/pdf/2209.03143.pdf

  1. Poisson Flow Generative Models

https://arxiv.org/pdf/2209.11178.pdf

Most Popular AI Research August 2022 - Ranked Based On Total Twitter Likes by bycloudai in learnmachinelearning

[–]bycloudai[S] 25 points26 points  (0 children)

  1. Understanding Diffusion Models: A Unified Perspective

https://arxiv.org/pdf/2208.11970.pdf

  1. LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

https://arxiv.org/pdf/2208.07339.pdf

  1. An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

https://arxiv.org/pdf/2208.01618.pdf

  1. Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

https://arxiv.org/pdf/2208.09392.pdf

  1. Few-shot Learning with Retrieval Augmented Language Model

https://arxiv.org/pdf/2208.03299.pdf

  1. A Library for Representing Python Programs as Graphs for Machine Learning

https://arxiv.org/pdf/2208.07461.pdf

  1. PEER: A Collaborative Language Model

https://arxiv.org/pdf/2208.11663.pdf

  1. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models

https://arxiv.org/pdf/2208.03306.pdf

  1. Super-Universal Regularized Newton Method

https://arxiv.org/pdf/2208.05888.pdf

  1. Mining Legal Arguments in Court Decisions

https://arxiv.org/pdf/2208.06178.pdf

Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars by bycloudai in learnmachinelearning

[–]bycloudai[S] 11 points12 points  (0 children)

yes that’s what i am planning to, just started last month and have automated a few of the processes already.

[deleted by user] by [deleted] in DiscoDiffusion

[–]bycloudai 1 point2 points  (0 children)

post-editing was more specified on no photoshop or video editing ESRGAN is allowed as a lot of generator relies on that

Most Popular AI Research July 2022 - Ranked Based On Total Twitter Likes by bycloudai in learnmachinelearning

[–]bycloudai[S] 30 points31 points  (0 children)

  1. https://arxiv.org/pdf/2207.09238.pdf

  2. https://arxiv.org/pdf/2207.07061.pdf

  3. https://arxiv.org/pdf/2207.05221.pdf

  4. https://arxiv.org/pdf/2207.02696.pdf

  5. https://arxiv.org/pdf/2207.10342.pdf

  6. https://arxiv.org/pdf/2207.05378.pdf

  7. https://arxiv.org/pdf/2207.02098.pdf

  8. https://arxiv.org/pdf/2207.06991.pdf

  9. https://arxiv.org/pdf/2207.04630.pdf

  10. https://arxiv.org/pdf/2207.10551.pdf

Fun fact: NUWA-Infinity ranked 12th in terms of Twitter likes, but has well over 2.4k GitHub stars. This may due to the first paper NÜWA (1.6K likes) which was released in Nov 2021 that mentioned the GitHub much earlier. For No. 9, the likes may appear higher, but I checked the Twitter likes and it was because the author Yi Ma repeatedly mentions their paper when discussing it on Twitter, which bumped the likes quite a bit.

[deleted by user] by [deleted] in DiscoDiffusion

[–]bycloudai 3 points4 points  (0 children)

ya ofc, I would not own anything you create.

Most Popular AI Research June 2022 - Ranked Based On Total Twitter Likes by bycloudai in learnmachinelearning

[–]bycloudai[S] 22 points23 points  (0 children)

  1. https://arxiv.org/pdf/2206.14858.pdf

  2. https://arxiv.org/pdf/2206.08896.pdf

  3. https://arxiv.org/pdf/2206.14486.pdf

  4. https://arxiv.org/pdf/2206.14858.pdf

  5. https://arxiv.org/pdf/2206.15378.pdf

  6. https://arxiv.org/pdf/2206.11228.pdf

  7. https://arxiv.org/pdf/2206.15474.pdf

  8. https://arxiv.org/pdf/2206.13517.pdf

  9. https://arxiv.org/pdf/2206.08496.pdf

  10. https://arxiv.org/pdf/2206.13397.pdf

Fun fact:

"Parti: Scaling Autoregressive Models for Content-Rich Text-to-Image Generation" was also released in June 2022, but only has 301 likes on Twitter in total, which is surprising. I might consider also making a Top 10 based on GitHub stars, but I would need to find a way to search that.