sergicastellasape/neurips2020-cited.csv

## neurips2020-cited.csv

          
            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.

            
              31
               Big Bird: Transformers for Longer Sequences
               Manzil Zaheer et al.

            
              28
               Stochastic latent actor-critic: Deep RL with a latent variable model
               Alex X. Lee et al.

            
              27
               Gradient surgery for multi-task learning
               Tianhe Yu et al.

            
              23
               wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
               Alexei Baevski et al.

            
              21
               Self-supervised learning by cross-modal audio-video clustering
               Humam Alwassel et al.

            
              21
               Bayesian Deep Learning and a Probabilistic Perspective of Generalization
               Andrew Gordon Wilson et al.

            
              21
               Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
               Jean-Bastien Grill et al.

            
              21
               MOPO: Model-based Offline Policy Optimization
               Tianhe Yu et al.

            
              20
               Implicit Neural Representations with Periodic Activation Functions
               Vincent Sitzmann et al.

            
              20
               Open Graph Benchmark: Datasets for Machine Learning on Graphs
               Weihua Hu et al.

            
              19
               Rethinking Pre-training and Self-training
               Barret Zoph et al.

            
              18
               NVAE: A Deep Hierarchical Variational Autoencoder
               Arash Vahdat et al.

            
              17
               GANSpace: Discovering Interpretable GAN Controls
               Erik Härkönen et al.

            
              15
               Self-distillation amplifies regularization in hilbert space
               Hossein Mobahi et al.

            
              14
               Global convergence and variance-reduced optimization [...]
               Junchi Yang 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.
31	Big Bird: Transformers for Longer Sequences	Manzil Zaheer et al.
28	Stochastic latent actor-critic: Deep RL with a latent variable model	Alex X. Lee et al.
27	Gradient surgery for multi-task learning	Tianhe Yu et al.
23	wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations	Alexei Baevski et al.
21	Self-supervised learning by cross-modal audio-video clustering	Humam Alwassel et al.
21	Bayesian Deep Learning and a Probabilistic Perspective of Generalization	Andrew Gordon Wilson et al.
21	Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning	Jean-Bastien Grill et al.
21	MOPO: Model-based Offline Policy Optimization	Tianhe Yu et al.
20	Implicit Neural Representations with Periodic Activation Functions	Vincent Sitzmann et al.
20	Open Graph Benchmark: Datasets for Machine Learning on Graphs	Weihua Hu et al.
19	Rethinking Pre-training and Self-training	Barret Zoph et al.
18	NVAE: A Deep Hierarchical Variational Autoencoder	Arash Vahdat et al.
17	GANSpace: Discovering Interpretable GAN Controls	Erik Härkönen et al.
15	Self-distillation amplifies regularization in hilbert space	Hossein Mobahi et al.
14	Global convergence and variance-reduced optimization [...]	Junchi Yang et al.