Analyzing the Performance of Multilayer Neural Networks for Object Recognition

7 July 2014

Papers citing "Analyzing the Performance of Multilayer Neural Networks for Object Recognition"

50 / 153 papers shown

Title
General Reasoning Requires Learning to Reason from the Get-go Seungwook Han Jyothish Pari Samuel J. Gershman Pulkit Agrawal LRM 178 1 0 26 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models Shin'ya Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 148 5 0 21 Feb 2025
Semantically-correlated memories in a dense associative model Thomas F Burns 34 7 0 10 Apr 2024
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks Shin'ya Yamaguchi Sekitoshi Kanai Kazuki Adachi Daiki Chijiwa 29 1 0 15 Mar 2024
GTA: Guided Transfer of Spatial Attention from Object-Centric Representations SeokHyun Seo Jinwoo Hong Jungwoo Chae Kyungyul Kim Sangheum Hwang 40 0 0 05 Jan 2024
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 27 43 0 20 Dec 2023
Simple Transferability Estimation for Regression Tasks Cuong N. Nguyen Phong Tran L. Ho Vu C. Dinh Anh Tran Tal Hassner Cuong V Nguyen 22 2 0 01 Dec 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato AAML 43 6 0 30 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 30 6 0 20 Jul 2023
EscherNet 101 Christopher Funk Yanxi Liu 13 0 0 07 Mar 2023
CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu Xingzhuo Guo Jialong Wu Ximei Wang Jianmin Wang Mingsheng Long OODD VLM 52 74 0 02 Feb 2023
Finding Skill Neurons in Pre-trained Transformer-based Language Models Xiaozhi Wang Kaiyue Wen Zhengyan Zhang Lei Hou Zhiyuan Liu Juanzi Li MILM MoE 27 50 0 14 Nov 2022
Prompt-Matched Semantic Segmentation Lingbo Liu Jianlong Chang Bruce X. B. Yu Liang Lin Qi Tian Changrui Chen VPVLM VLM 27 27 0 22 Aug 2022
Pro-tuning: Unified Prompt Tuning for Vision Tasks Xing Nie Bolin Ni Jianlong Chang Gaomeng Meng Chunlei Huo Zhaoxiang Zhang Shiming Xiang Qi Tian Chunhong Pan AAML VPVLM VLM 34 70 0 28 Jul 2022
Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning Shibani Santurkar Yann Dubois Rohan Taori Percy Liang Tatsunori Hashimoto CLIP VLM 19 41 0 15 Jul 2022
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models Yang Shu Zhangjie Cao Ziyang Zhang Jianmin Wang Mingsheng Long 22 4 0 08 Jun 2022
Deep transfer learning for image classification: a survey J. Plested Tom Gedeon OOD 39 36 0 20 May 2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport Jiying Zhang Xi Xiao Long-Kai Huang Yu Rong Yatao Bian OT 19 32 0 20 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time Mitchell Wortsman Gabriel Ilharco S. Gadre Rebecca Roelofs Raphael Gontijo-Lopes ... Hongseok Namkoong Ali Farhadi Y. Carmon Simon Kornblith Ludwig Schmidt MoMe 54 922 1 10 Mar 2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability Ruifei He Shuyang Sun Jihan Yang Song Bai Xiaojuan Qi 34 36 0 10 Mar 2022
Scalable Diverse Model Selection for Accessible Transfer Learning Daniel Bolya Rohit Mittapalli Judy Hoffman OODD 27 41 0 12 Nov 2021
Non-binary deep transfer learning for image classification J. Plested Xuyang Shen Tom Gedeon MQ 33 5 0 19 Jul 2021
Zoo-Tuning: Adaptive Transfer from a Zoo of Models Yang Shu Zhi Kou Zhangjie Cao Jianmin Wang Mingsheng Long 29 44 0 29 Jun 2021
DAP: Detection-Aware Pre-training with Weak Supervision Yuanyi Zhong Jianfeng Wang Lijuan Wang Jian-wei Peng Yu-xiong Wang Lei Zhang 32 15 0 30 Mar 2021
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations Yang Tan Yang Li Shao-Lun Huang OT OOD OODD 25 70 0 25 Mar 2021
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato SSL 21 22 0 16 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 30 69 0 25 Feb 2021
TransMIA: Membership Inference Attacks Using Transfer Shadow Training Seira Hidano Takao Murakami Yusuke Kawamoto MIACV 27 13 0 30 Nov 2020
Towards real-time object recognition and pose estimation in point clouds M. Marcon O. Bellon Luciano Silva 3DPC 3DH 19 2 0 27 Nov 2020
Towards falsifiable interpretability research Matthew L. Leavitt Ari S. Morcos AAML AI4CE 21 67 0 22 Oct 2020
A Survey on Negative Transfer Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu AAML 27 208 0 02 Sep 2020
End-to-end Learning of Compressible Features Saurabh Singh Sami Abu-El-Haija Nick Johnston Johannes Ballé Abhinav Shrivastava G. Toderici SSL 97 71 0 23 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 37 417 0 16 Jul 2020
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology Hiroki Tokunaga Brian Kenji Iwana Y. Teramoto Akihiko Yoshizawa Ryoma Bise 14 18 0 16 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation Farshid Varno Lucas May Petry Lisa Di-Jorio Stan Matwin CLL 27 2 0 02 Jul 2020
What makes instance discrimination good for transfer learning? Nanxuan Zhao Zhirong Wu Rynson W. H. Lau Stephen Lin SSL 22 167 0 11 Jun 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 28 213 0 27 Feb 2020
Convolutional Neural Networks: A Binocular Vision Perspective Yigit Oktar Diclehan Karakaya Oguzhan Ulucan Mehmet Türkan 19 2 0 21 Dec 2019
Learning Multi-level Weight-centric Features for Few-shot Learning Min-Siong Liang Shaoli Huang Shirui Pan Biwei Huang Wei Liu 30 10 0 28 Nov 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 21 354 0 27 Nov 2019
Neural Random Forest Imitation Christoph Reinders Bodo Rosenhahn 16 1 0 25 Nov 2019
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis Ceyuan Yang Yujun Shen Bolei Zhou GAN 35 201 0 21 Nov 2019
Semantics for Global and Local Interpretation of Deep Neural Networks Jindong Gu Volker Tresp AI4CE 30 14 0 21 Oct 2019
Growing a Brain: Fine-Tuning by Increasing Model Capacity Yu-xiong Wang Deva Ramanan M. Hebert CLL 29 148 0 18 Jul 2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition Xiangyang Li Luis Herranz Shuqiang Jiang 15 2 0 11 Jul 2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization Farshid Varno Behrouz Haji Soleimani Marzie Saghayi Di-Jorio Lisa Stan Matwin AAML 7 6 0 25 May 2019
SCOPS: Self-Supervised Co-Part Segmentation Wei-Chih Hung Varun Jampani Sifei Liu Pavlo Molchanov Ming-Hsuan Yang Jan Kautz 30 139 0 03 May 2019
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar A. Akbarinia K. Gegenfurtner DRL 17 5 0 12 Mar 2019
Deep Learning for Cognitive Neuroscience Katherine R. Storrs N. Kriegeskorte NAI AI4CE 33 46 0 04 Mar 2019
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization Yeonwoo Jeong Yoonsung Kim Hyun Oh Song 11 1 0 28 Feb 2019