sergicastellasape

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	12042	Google
A Simple Framework for Contrastive Learning of Visual Representations	8476	Google
Language Models are Few-Shot Learners	7903	OpenAI
YOLOv4: Optimal Speed and Accuracy of Object Detection	7860	Academia Sinica
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.	6362	Google
Momentum Contrast for Unsupervised Visual Representation Learning	6060	Meta
End-to-End Object Detection with Transformers	4998	Meta, Paris Dauphine University
Analyzing and Improving the Image Quality of StyleGAN	3101	Aalto University, NVIDIA
EfficientDet: Scalable and Efficient Object Detection	3081	Google
Advances and Open Problems in Federated Learning	2921	Australian National University, Carnegie Mellon University, Cornell University, Emory University, École Polytechnique Fédérale de Lausanne, Georgia Institute of Technology, Google, Hong Kong University of Science and Technology, INRIA, IT University of Copenhagen, MIT,

Title	Tweets	Citations	Organization	Country	Org Type
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	142	12042	Google	USA	industry
A Simple Framework for Contrastive Learning of Visual Representations	16	8476	Google	USA	industry
Language Models are Few-Shot Learners	331	7903	OpenAI	USA	industry
YOLOv4: Optimal Speed and Accuracy of Object Detection	20	7860	Academia Sinica	Taiwan	industry
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.	53	6362	Google	USA	industry
Momentum Contrast for Unsupervised Visual Representation Learning	8	6060	Meta	USA	industry
End-to-End Object Detection with Transformers	43	4998	Meta, Paris Dauphine University	France, USA	industry
Analyzing and Improving the Image Quality of StyleGAN	44	3101	Aalto University, NVIDIA	Finland, USA	industry
EfficientDet: Scalable and Efficient Object Detection	7	3081	Google	USA	industry

Citations	Title	Authors
13	Augmented Sliced Wasserstein Distances	Xiongjie Chen et al.
9	Bayesian Neural Network Priors Revisited	Vincent Fortuin et al.
6	Finetuned Language Models are Zero-Shot Learners	Jason Wei et al.
5	SimVLM: Simple Visual Language Model Pretraining with Weak Supervision	Zirui Wang et al.
4	Exploring the Limits of Large Scale Pre-training	Samira Abnar et al.
4	LoRA: Low-Rank Adaptation of Large Language Models	Edward J Hu et al.
4	Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design	Wengong Jin et al.
4	Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields	Wang Yifan et al.
4	Equivalent Convex Optimization Models and Implicit Regularization	Tolga Ergen et al.

Cited	Title	Authors
121	Unsupervised data augmentation for consistency training	Qizhe Xie et al.
95	Fixmatch: Simplifying semi-supervised learning with consistency and confidence	Kihyuk Sohn et al.
77	Language Models are Few-Shot Learners	Tom B. Brown et al.
55	On adaptive attacks to adversarial example defenses	Ekin D. Cubuk et al.
54	Randaugment: Practical automated data augmentation with a reduced search space	Florian Tramèr et al.
46	What makes for good views for contrastive learning	Yonglong Tian et al.
46	Debiased Contrastive Learning	Ching-Yao Chuang et al.
44	Big Self-Supervised Models are Strong Semi-Supervised Learners	Ting Chen et al.
37	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	Mathilde Caron et al.

	Title Tweets Citations Organization Country Org Type
	Highly accurate protein structure prediction with AlphaFold 8783 DeepMind, Seoul National University South Korea, UK industry
	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 383 5389 Microsoft USA industry
	Learning Transferable Visual Models From Natural Language Supervision 178 3658 OpenAI USA industry
	Accurate prediction of protein structures and interactions using a three-track neural network 1659 Harvard University, Lawrence Berkeley National Laboratory, North-West University, Stanford University, UC Berkeley, University of British Columbia, University of Cambridge, University of Graz, University of Texas Southwestern Medical Center, University of Victoria, University of Washington, University of the Free State Austria, Canada, South Africa, UK, USA
	Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions 69 1306 Inception Institute of AI, Nanjing University, Nanjing University of Science and

	Title Tweets Citations Organization Country Org Type
	AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models 1331 DeepMind, European Molecular Biology Laboratory UK academia
	ColabFold: making protein folding accessible to all 1138 Harvard University, Max Planck Institute for Multidisciplinary Sciences, Michigan State University, Seoul National University, University of Tokyo Germany, Japan, South Korea, USA academia
	A ConvNet for the 2020s 857 835 Meta, UC Berkeley USA industry
	Hierarchical Text-Conditional Image Generation with CLIP Latents 105 718 OpenAI USA industry
	PaLM: Scaling Language Modeling with Pathways 445 426 Google USA industry
	Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding 2462 390 Google USA industry
	Instant Neural Graphics Primitives with a Multiresolution Hash Encoding 11 342 NVIDIA USA industry
	SignalP 6.0 predicts all five types of signal peptides using protein language models 2

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