Trending Research
Pen and Paper Exercises in Machine Learning
This is a collection of (mostly) pen-and-paper exercises in machine learning.
LViT: Language meets Vision Transformer in Medical Image Segmentation
huanglizi/lvit
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In our model, medical text annotation is introduced to compensate for the quality deficiency in image data.
Denoised MDPs: Learning World Models Better Than the World Itself
facebookresearch/denoised_mdp
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The ability to separate signal from noise, and reason with clean abstractions, is critical to intelligence.
Multi-Graph Fusion Networks for Urban Region Embedding
wushangbin/mgfn
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Human mobility data contains rich but abundant information, which yields to the comprehensive region embeddings for cross domain tasks.
Ivy: Templated Deep Learning for Inter-Framework Portability
ivy-dl/ivy
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We introduce Ivy, a templated Deep Learning (DL) framework which abstracts existing DL frameworks.
ProGen2: Exploring the Boundaries of Protein Language Models
Attention-based models trained on protein sequences have demonstrated incredible success at classification and generation tasks relevant for artificial intelligence-driven protein design.
BokehMe: When Neural Rendering Meets Classical Rendering
juewenpeng/bokehme
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CVPR 2022
Based on this formulation, we implement the classical renderer by a scattering-based method and propose a two-stage neural renderer to fix the erroneous areas from the classical renderer.
Forecasting Future World Events with Neural Networks
We test language models on our forecasting task and find that performance is far below a human expert baseline.
PolarFormer: Multi-camera 3D Object Detection with Polar Transformer
3D object detection in autonomous driving aims to reason "what" and "where" the objects of interest present in a 3D world.
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
We present the Pathways Autoregressive Text-to-Image (Parti) model, which generates high-fidelity photorealistic images and supports content-rich synthesis involving complex compositions and world knowledge.
Ranked #1 on
Text-to-Image Generation
on COCO
