Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

10 July 2017

Papers citing "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era"

50 / 536 papers shown

Title
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation Yash J. Patel Yusheng Xie Yi Zhu Srikar Appalaraju R. Manmatha 42 4 0 07 Feb 2023
AIM: Adapting Image Models for Efficient Video Action Recognition Taojiannan Yang Yi Zhu Yusheng Xie Aston Zhang Chong Chen Mu Li ViT 75 145 0 06 Feb 2023
Linking data separation, visual separation, and classifier performance using pseudo-labeling by contrastive learning B. C. Benato A. X. Falcão A. Telea 33 4 0 06 Feb 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 44 20 0 02 Feb 2023
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers Hugo Lemarchant Liang Li Yiming Qian Yuta Nakashima Hajime Nagahara ViT AAML 50 0 0 31 Jan 2023
Adaptive Computation with Elastic Input Sequence Fuzhao Xue Valerii Likhosherstov Anurag Arnab N. Houlsby Mostafa Dehghani Yang You 43 19 0 30 Jan 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 39 48 0 28 Jan 2023
Out of Distribution Performance of State of Art Vision Model Salman Rahman W. Lee 56 2 0 25 Jan 2023
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer Zhijian Liu Xinyu Yang Haotian Tang Shang Yang Song Han 47 66 0 20 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 45 112 0 18 Jan 2023
Does progress on ImageNet transfer to real-world datasets? Alex Fang Simon Kornblith Ludwig Schmidt VLM 39 36 0 11 Jan 2023
OVO: One-shot Vision Transformer Search with Online distillation Zimian Wei H. Pan Xin-Yi Niu Dongsheng Li ViT 45 1 0 28 Dec 2022
SMMix: Self-Motivated Image Mixing for Vision Transformers Mengzhao Chen Mingbao Lin Zhihang Lin Yuxin Zhang Rongrong Ji Rongrong Ji 60 10 0 26 Dec 2022
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 37 19 0 23 Dec 2022
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation Petra Bevandić Marin Orsic Ivan Grubišić Josip Saric Sinisa Segvic 41 5 0 20 Dec 2022
Universal Object Detection with Large Vision Model Feng-Huei Lin Wenze Hu Yaowei Wang Yonghong Tian Guangming Lu Fanglin Chen Yong-mei Xu Xiaoyu Wang VLM ObjD 57 8 0 19 Dec 2022
POTATO: The Portable Text Annotation Tool Jiaxin Pei Aparna Ananthasubramaniam Xingyao Wang Naitian Zhou Jackson Sargent Apostolos Dedeloudis David Jurgens VLM 49 59 0 16 Dec 2022
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition Fanglei Xue Qiangchang Wang Zichang Tan Zhongsong Ma G. Guo ViT 50 67 0 11 Dec 2022
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints Aran Komatsuzaki J. Puigcerver James Lee-Thorp Carlos Riquelme Ruiz Basil Mustafa Joshua Ainslie Yi Tay Mostafa Dehghani N. Houlsby MoMe MoE 31 111 0 09 Dec 2022
Audiovisual Masked Autoencoders Mariana-Iuliana Georgescu Eduardo Fonseca Radu Tudor Ionescu Mario Lucic Cordelia Schmid Anurag Arnab SSL 46 44 0 09 Dec 2022
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding Minh-Long Luu Zeyi Huang Eric P. Xing Yong Jae Lee Haohan Wang AAML 41 1 0 09 Dec 2022
Models Developed for Spiking Neural Networks Shahriar Rezghi Shirsavar A. Vahabie M. Dehaqani 46 4 0 08 Dec 2022
Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni Yulin Wang Jiangwei Yu Haojun Jiang Yu Cao Gao Huang VLM 37 11 0 08 Dec 2022
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning A. Piergiovanni Weicheng Kuo A. Angelova ViT 48 56 0 06 Dec 2022
Sources of Noise in Dialogue and How to Deal with Them Derek Chen Zhou Yu 37 2 0 06 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie Yang Chunhua Shen 57 4 0 01 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data Seongwoong Kim Dong-Wan Choi 42 7 0 29 Nov 2022
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data Inha Cha Juhyun Oh Cheul Young Park Jiyoon Han Hwalsuk Lee 39 2 0 28 Nov 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus José P. Pombal Duarte M. Alves André F. Cruz Pedro Saleiro Rita P. Ribeiro João Gama P. Bizarro 50 32 0 24 Nov 2022
On the Transferability of Visual Features in Generalized Zero-Shot Learning Paola Cascante-Bonilla Leonid Karlinsky James Smith Yanjun Qi Vicente Ordonez 43 2 0 22 Nov 2022
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks Hao Li Jinguo Zhu Xiaohu Jiang Xizhou Zhu Hongsheng Li ... Xiaohua Wang Yu Qiao Xiaogang Wang Wenhai Wang Jifeng Dai MLLM 36 55 0 17 Nov 2022
Token Turing Machines Michael S. Ryoo K. Gopalakrishnan Kumara Kahatapitiya Ted Xiao Kanishka Rao Austin Stone Yao Lu Julian Ibarz Anurag Arnab 34 21 0 16 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 37 58 0 15 Nov 2022
ParCNetV2: Oversized Kernel with Enhanced Attention Ruihan Xu Haokui Zhang Wenze Hu Shiliang Zhang Xiaoyu Wang ViT 43 6 0 14 Nov 2022
Striving for data-model efficiency: Identifying data externalities on group performance Esther Rolf Ben Packer Alex Beutel Fernando Diaz TDI 63 2 0 11 Nov 2022
Age Prediction Performance Varies Across Deep, Superficial, and Cerebellar White Matter Connections Yuxiang Wei Tengfei Xue Yogesh Rathi N. Makris Fan Zhang L. O’Donnell 30 1 0 11 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations Shlok Kumar Mishra Joshua Robinson Huiwen Chang David Jacobs Aaron Sarna Aaron Maschinot Dilip Krishnan DiffM 56 31 0 30 Oct 2022
Broken Neural Scaling Laws Ethan Caballero Kshitij Gupta Irina Rish David M. Krueger 49 74 0 26 Oct 2022
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability Qinglai Wei Diancheng Chen Beiming Yuan 50 10 0 26 Oct 2022
Active Learning Framework to Automate NetworkTraffic Classification Jaroslav Pesek Dominik Soukup T. Čejka 50 1 0 26 Oct 2022
Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets Xiangyu Chen Ying Qin Wenju Xu A. Bur Cuncong Zhong Guanghui Wang ViT 54 3 0 25 Oct 2022
3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections Beerend G. A. Gerats J. Wolterink I. A. Broeders 3DH 43 11 0 21 Oct 2022
On the Adversarial Robustness of Mixture of Experts J. Puigcerver Rodolphe Jenatton C. Riquelme Pranjal Awasthi Srinadh Bhojanapalli OOD AAML MoE 53 18 0 19 Oct 2022
Scratching Visual Transformer's Back with Uniform Attention Nam Hyeon-Woo Kim Yu-Ji Byeongho Heo Doonyoon Han Seong Joon Oh Tae-Hyun Oh 405 23 0 16 Oct 2022
Is synthetic data from generative models ready for image recognition? Ruifei He Shuyang Sun Xin Yu Chuhui Xue Wenqing Zhang Philip Torr Song Bai Xiaojuan Qi 55 292 0 14 Oct 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Yi Mo Dongxian Wu Yifei Wang Yiwen Guo Yisen Wang ViT 50 54 0 14 Oct 2022
How to Train Vision Transformer on Small-scale Datasets? Hanan Gani Muzammal Naseer Mohammad Yaqub ViT 43 51 0 13 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization Jonas Geiping Micah Goldblum Gowthami Somepalli Ravid Shwartz-Ziv Tom Goldstein A. Wilson 31 38 0 12 Oct 2022
SaiT: Sparse Vision Transformers through Adaptive Token Pruning Ling Li D. Thorsley Joseph Hassoun ViT 34 17 0 11 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 58 146 0 10 Oct 2022