3k citations · 3k across the 2 of their papers we have counts for
3 papers
CompressNet: Generative Compression at Extremely Low Bitrates
Suraj Kiran Raman, Aditya Ramesh, Vijayakrishna Naganoor +3
Compressing images at extremely low bitrates (< 0.1 bpp) has always been a challenging task since the quality of reconstruction significantly reduces due to the strong imposed cons…
Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder +28
Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific task. While typicall…
A Spectral Regularizer for Unsupervised Disentanglement
Aditya Ramesh, Youngduck Choi, Yann LeCun
A generative model with a disentangled representation allows for independent control over different aspects of the output. Learning disentangled representations has been a recent t…