Trending Research
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
microsoft/biogpt
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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.
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
salesforce/lavis
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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
Top-Down Beats Bottom-Up in 3D Instance Segmentation
samsunglabs/td3d
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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)
Discovering Symbolic Models from Deep Learning with Inductive Biases
glouppe/info8010-deep-learning
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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.
Dual PatchNorm
lucidrains/musiclm-pytorch
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We propose Dual PatchNorm: two Layer Normalization layers (LayerNorms), before and after the patch embedding layer in Vision Transformers.
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation
ucaszyp/steps
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By fitting a bridge-shaped curve to the illumination map distribution, both regions are suppressed and two tasks are bridged naturally.
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
google/vizier
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Vizier is the de-facto blackbox and hyperparameter optimization service across Google, having optimized some of Google's largest products and research efforts.
ClimaX: A foundation model for weather and climate
microsoft/ClimaX
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Most state-of-the-art approaches for weather and climate modeling are based on physics-informed numerical models of the atmosphere.
