Title
What is Multimodality? Letitia Parcalabescu Nils Trost Anette Frank 26 0 0 10 Mar 2021
Pretrained Transformers as Universal Computation Engines Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch 40 220 0 09 Mar 2021
Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision Andrew Shin Masato Ishii T. Narihira 62 38 0 06 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network Lili Pan Peijun Tang Zhiyong Chen Zenglin Xu GAN DRL 28 6 0 05 Mar 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 24 103 0 03 Mar 2021
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning Krishna Srinivasan K. Raman Jiecao Chen Michael Bendersky Marc Najork VLM 221 312 0 02 Mar 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning Mark Hamilton Scott M. Lundberg Lei Zhang Stephanie Fu William T. Freeman FAtt 47 10 0 28 Feb 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon Felix Juefei Xu Run Wang Yihao Huang Qing Guo Lei Ma Yang Liu AAML 38 132 0 27 Feb 2021
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives Nils Rethmeier Isabelle Augenstein SSL VLM 98 91 0 25 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 262 4,842 0 24 Feb 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan Karen Ullrich Daniel de Souza Severo James Townsend Ashish Khisti Arnaud Doucet Alireza Makhzani Chris J. Maddison 32 25 0 22 Feb 2021
Understanding and Creating Art with AI: Review and Outlook E. Cetinic James She 132 314 0 18 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention Irwan Bello 284 180 0 17 Feb 2021
Proof Artifact Co-training for Theorem Proving with Language Models Jesse Michael Han Jason M. Rute Yuhuai Wu Edward W. Ayers Stanislas Polu AIMat 51 121 0 11 Feb 2021
Symbolic Behaviour in Artificial Intelligence Adam Santoro Andrew Kyle Lampinen Kory W. Mathewson Timothy Lillicrap David Raposo 29 34 0 05 Feb 2021
Unifying Vision-and-Language Tasks via Text Generation Jaemin Cho Jie Lei Hao Tan Joey Tianyi Zhou MLLM 282 529 0 04 Feb 2021
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search Federico A. Galatolo M. G. Cimino G. Vaglini VLM 76 85 0 02 Feb 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 104 509 0 14 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 233 2,445 0 04 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 250 1,945 0 31 Dec 2020
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 62 50 0 10 Dec 2020
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks Jinyuan Jia Yupei Liu Xiaoyu Cao Neil Zhenqiang Gong AAML 45 74 0 07 Dec 2020
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs Emanuele Bugliarello Ryan Cotterell Naoaki Okazaki Desmond Elliott 40 119 0 30 Nov 2020
Fooling the primate brain with minimal, targeted image manipulation Li-xin Yuan Will Xiao Giorgia Dellaferrera Gabriel Kreiman Francis E. H. Tay Jiashi Feng Margaret Livingstone AAML 36 1 0 11 Nov 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 55 91 0 30 Oct 2020
Data-Efficient Pretraining via Contrastive Self-Supervision Nils Rethmeier Isabelle Augenstein 36 20 0 02 Oct 2020
Contrastive Learning of Medical Visual Representations from Paired Images and Text Yuhao Zhang Hang Jiang Yasuhide Miura Christopher D. Manning C. Langlotz MedIm 71 737 0 02 Oct 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization Sang Michael Xie Tengyu Ma Percy Liang 57 13 0 29 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 48 36 0 18 Jun 2020
ExpBERT: Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang 48 43 0 05 May 2020
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? Tal Linzen 226 191 0 03 May 2020
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization Qi Duan Guotai Wang Rui Wang Chaohao Fu Xinjun Li ... Xinglong Liu Qing Xia Zhiqiang Hu Ning Huang Shaoting Zhang 45 18 0 03 Apr 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 328 3,389 0 09 Mar 2020
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods Yahia Saeed Assiri BDL 70 22 0 24 Jan 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 273 4,612 0 23 Jan 2020
Do Image Classifiers Generalize Across Time? Vaishaal Shankar Achal Dave Rebecca Roelofs Deva Ramanan Benjamin Recht Ludwig Schmidt 53 82 0 05 Jun 2019
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 229 1,403 0 04 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 321 7,044 0 20 Apr 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 282 887 0 11 Nov 2017