Title
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text Elizabeth Clark Tal August Sofia Serrano Nikita Haduong Suchin Gururangan Noah A. Smith DeLMO 109 412 0 30 Jun 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations A. Puli Lily H. Zhang Eric K. Oermann Rajesh Ranganath OOD OODD 71 49 0 29 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 56 89 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 67 684 0 10 Jun 2021
A Deep Variational Approach to Clustering Survival Data Laura Manduchi Ricards Marcinkevics M. Massi Thomas Weikert Alexander Sauter ... F. Vasella M. Neidert M. Pfister Bram Stieltjes Julia E. Vogt 135 31 0 10 Jun 2021
On Memorization in Probabilistic Deep Generative Models G. V. D. Burg Christopher K. I. Williams TDI 65 62 0 06 Jun 2021
Counterfactual Explanations Can Be Manipulated Dylan Slack Sophie Hilgard Himabindu Lakkaraju Sameer Singh 66 137 0 04 Jun 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 68 58 0 29 May 2021
ByT5: Towards a token-free future with pre-trained byte-to-byte models Linting Xue Aditya Barua Noah Constant Rami Al-Rfou Sharan Narang Mihir Kale Adam Roberts Colin Raffel 98 504 0 28 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 116 132 0 14 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 355 1,153 0 27 Apr 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding Jianlin Su Yu Lu Shengfeng Pan Ahmed Murtadha Bo Wen Yunfeng Liu 284 2,500 0 20 Apr 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar Suman V. Ravuri Karel Lenc Matthew Willson D. Kangin Rémi R. Lam ... R. Hadsell Nial H. Robinson Ellen Clancy A. Arribas S. Mohamed AI4Cl 178 738 0 02 Apr 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 133 70 0 02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 955 29,436 0 26 Feb 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 418 4,953 0 24 Feb 2021
Evaluating the Interpretability of Generative Models by Interactive Reconstruction A. Ross Nina Chen Elisa Zhao Hang Elena L. Glassman Finale Doshi-Velez 136 49 0 02 Feb 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 323 367 0 01 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 160 670 0 22 Jan 2021
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models Phillip Rust Jonas Pfeiffer Ivan Vulić Sebastian Ruder Iryna Gurevych 128 254 0 31 Dec 2020
Taming Transformers for High-Resolution Image Synthesis Patrick Esser Robin Rombach Bjorn Ommer ViT 129 2,962 0 17 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 83 120 0 03 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 344 6,480 0 26 Nov 2020
Scaling Laws for Autoregressive Generative Modeling T. Henighan Jared Kaplan Mor Katz Mark Chen Christopher Hesse ... Nick Ryder Daniel M. Ziegler John Schulman Dario Amodei Sam McCandlish 103 423 0 28 Oct 2020
Scalable Gaussian Process Variational Autoencoders Metod Jazbec Matthew Ashman Vincent Fortuin Michael Pearce Stephan Mandt Gunnar Rätsch DRL BDL 57 28 0 26 Oct 2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks T. Dash A. Srinivasan Lovekesh Vig NAI 90 25 0 23 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 659 41,103 0 22 Oct 2020
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation Yogesh Balaji Ramalingam Chellappa Soheil Feizi OT 155 105 0 12 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,384 0 06 Oct 2020
Probabilistic Machine Learning for Healthcare Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath OOD 48 56 0 23 Sep 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation Xuming Ran Mingkun Xu Lingrui Mei Qi Xu Quanying Liu OODD UQCV 73 51 0 16 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 72 910 0 08 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 648 18,096 0 19 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 106 238 0 11 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 817 42,055 0 28 May 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations Patrick Esser Robin Rombach Bjorn Ommer 55 88 0 27 Apr 2020
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning Yu Deng Jiaolong Yang Dong Chen Fang Wen Xin Tong CoGe CVBM 59 346 0 24 Apr 2020
Adversarial Training for Large Neural Language Models Xiaodong Liu Hao Cheng Pengcheng He Weizhu Chen Yu Wang Hoifung Poon Jianfeng Gao AAML 79 185 0 20 Apr 2020
Evaluating the Evaluation of Diversity in Natural Language Generation Guy Tevet Jonathan Berant 83 99 0 06 Apr 2020
GANSpace: Discovering Interpretable GAN Controls Erik Härkönen Aaron Hertzmann J. Lehtinen Sylvain Paris 123 902 0 06 Apr 2020
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions Ricard Durall Margret Keuper J. Keuper 71 337 0 03 Mar 2020
A Theory of Usable Information Under Computational Constraints Yilun Xu Shengjia Zhao Jiaming Song Russell Stewart Stefano Ermon 77 174 0 25 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 427 10,591 0 17 Feb 2020
GLU Variants Improve Transformer Noam M. Shazeer 131 1,001 0 12 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 240 319 0 07 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 608 4,822 0 23 Jan 2020
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks R. Thomas McCoy Robert Frank Tal Linzen 82 108 0 10 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 127 720 0 08 Jan 2020
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data E. Steinberg Kenneth Jung Jason Alan Fries Conor K. Corbin Stephen Pfohl N. Shah 79 109 0 06 Jan 2020
Controlling Style and Semantics in Weakly-Supervised Image Generation Dario Pavllo Aurelien Lucchi Thomas Hofmann 58 35 0 06 Dec 2019