Trending Research
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
microsoft/biogpt
•
•
Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain.
Ranked #1 on
Question Answering
on PubMedQA
TEXTure: Text-Guided Texturing of 3D Shapes
In this paper, we present TEXTure, a novel method for text-guided generation, editing, and transfer of textures for 3D shapes.
Multimodal Chain-of-Thought Reasoning in Language Models
By incorporating the vision features in both stages, the model is able to generate effective rationales that contribute to answer inference.
Mixture of Diffusers for scene composition and high resolution image generation
Diffusion methods have been proven to be very effective to generate images while conditioning on a text prompt.
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
In the text-to-image setting, the method creates hard prompts for diffusion models, allowing API users to easily generate, discover, and mix and match image concepts without prior knowledge on how to prompt the model.
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
salesforce/lavis
•
•
The cost of vision-and-language pre-training has become increasingly prohibitive due to end-to-end training of large-scale models.
Ranked #1 on
Image Retrieval
on COCO
Discovering Symbolic Models from Deep Learning with Inductive Biases
glouppe/info8010-deep-learning
•
•
NeurIPS 2020
The technique works as follows: we first encourage sparse latent representations when we train a GNN in a supervised setting, then we apply symbolic regression to components of the learned model to extract explicit physical relations.
Top-Down Beats Bottom-Up in 3D Instance Segmentation
samsunglabs/td3d
•
•
Most 3D instance segmentation methods exploit a bottom-up strategy, typically including resource-exhaustive post-processing.
Ranked #1 on
3D Instance Segmentation
on S3DIS
(using extra training data)
ClimaX: A foundation model for weather and climate
microsoft/ClimaX
•
•
Most state-of-the-art approaches for weather and climate modeling are based on physics-informed numerical models of the atmosphere.
Dual PatchNorm
lucidrains/musiclm-pytorch
•
•
We propose Dual PatchNorm: two Layer Normalization layers (LayerNorms), before and after the patch embedding layer in Vision Transformers.
