yjxiong

Discrete or continuous tokens? Or even tokenizer-free? The visual modeling debate rages on, but for now, let me introduce L24SQ, a provably optimal, regularizer-free quantizer with a large codebook (~200k), achieving SoTA reconstruction-compression tradeoff and generative power!

@NeurIPSConf of course. blatant racism is now called cultural generalization in our community. keep on reinventing terms. what a time to be alive.

NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. We want to address the comment made during the invited talk this afternoon, as it is something that NeurIPS does not condone and it doesn't align with our code of conduct. We are addressing this issue with the speaker directly. NeurIPS is dedicated to being a diverse and inclusive place where everyone is treated equally.

@pmddomingos If the word “Chinese” was replaced with the word “Jews”, the professor would be fired.

Did you ever want to train a scene with one billion gaussians? Here comes a "tutorial": "RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians" arxiv.org/abs/2406.11836

A Full-duplex Speech Dialogue Scheme Based On Large Language Models. arxiv.org/abs/2405.19487

Amazon VP Stefano Soatto says that three of his team's five @CVPR papers are about making AI more "graceful": one on backward-compatible updates to ML models, one on cross-device compatibility, and one on linearization of nonlinear models. #CVPR2021 amzn.to/3uLO4oD

Once Upon a Virus...

Up up up! #bepeculiar

Multimedia Laboratory mmlab.ie.cuhk.edu.hk