Improving Generalization via Scalable Neighborhood Component Analysis

14 August 2018

Papers citing "Improving Generalization via Scalable Neighborhood Component Analysis"

26 / 26 papers shown

Title
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Chu Myaet Thwal Ye Lin Tun Minh N. H. Nguyen Eui-nam Huh Choong Seon Hong VLM 74 0 0 05 Dec 2024
Fine-grained Classes and How to Find Them Matej Grcić Artyom Gadetsky Maria Brbić 32 1 0 16 Jun 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 36 0 0 25 Apr 2024
Maximally Compact and Separated Features with Regular Polytope Networks F. Pernici Matteo Bruni C. Baecchi A. Bimbo 18 19 0 15 Jan 2023
Fine-tune your Classifier: Finding Correlations With Temperature Benjamin Chamand Olivier Risser-Maroix Camille Kurtz P. Joly Nicolas Loménie 30 2 0 18 Oct 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan Xiaomeng Li Xiaowei Xu Kwang-Ting Cheng 27 6 0 03 Jul 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi CLL 29 141 0 30 Mar 2022
RecursiveMix: Mixed Learning with History Lingfeng Yang Xiang Li Borui Zhao Renjie Song Jian Yang VLM 29 18 0 14 Mar 2022
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks Denis Kleyko G. Karunaratne J. Rabaey Abu Sebastian Abbas Rahimi KELM 30 10 0 11 Mar 2022
Zero-Shot Aspect-Based Sentiment Analysis Lei Shu Hu Xu Bing-Quan Liu Jiahua Chen 30 14 0 04 Feb 2022
CvS: Classification via Segmentation For Small Datasets Nooshin Mojab Philip S. Yu J. Hallak Darvin Yi 23 4 0 29 Oct 2021
Constrained Mean Shift for Representation Learning Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL 29 0 0 19 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang R. L. Jin Yue Gao SSL 48 39 0 12 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Unsupervised Discriminative Learning of Sounds for Audio Event Classification Sascha Hornauer Ke Li Stella X. Yu Shabnam Ghaffarzadegan Liu Ren SSL 21 5 0 19 May 2021
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning Tsung-Wei Ke Jyh-Jing Hwang Stella X. Yu SSL 33 75 0 03 May 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 26 256 0 18 Feb 2021
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification Yongxing Dai Jun Liu Yan Bai Zekun Tong Ling-yu Duan 26 77 0 26 Dec 2020
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 34 68 0 25 Nov 2020
Bias-Awareness for Zero-Shot Learning the Seen and Unseen William Thong Cees G. M. Snoek 19 5 0 25 Aug 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 39 1,305 0 20 May 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng-Wei Zhang Mingsheng Long Han Hu 21 317 0 26 Mar 2020
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 19 92 0 06 Jul 2019
Local Label Propagation for Large-Scale Semi-Supervised Learning Chengxu Zhuang Xuehao Ding Divyanshu Murli Daniel L. K. Yamins SSL 27 11 0 28 May 2019
Local Aggregation for Unsupervised Learning of Visual Embeddings Chengxu Zhuang Alex Zhai Daniel L. K. Yamins SSL 21 444 0 29 Mar 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017