Analyzing and Improving Representations with the Soft Nearest Neighbor Loss

5 February 2019

Papers citing "Analyzing and Improving Representations with the Soft Nearest Neighbor Loss"

35 / 35 papers shown

Title
Implicit Contrastive Representation Learning with Guided Stop-gradient Byeongchan Lee Sehyun Lee SSL 89 2 0 12 Mar 2025
On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small Models Sean Farhat Deming Chen 47 0 0 04 Apr 2024
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift Jun Chen Weng-Keen Wong B. Hamdaoui 55 3 0 06 Mar 2024
Uncovering Intermediate Variables in Transformers using Circuit Probing Michael A. Lepori Thomas Serre Ellie Pavlick 78 7 0 07 Nov 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders Jan Dubiñski Stanislaw Pawlak Franziska Boenisch Tomasz Trzciñski Adam Dziedzic AAML 36 3 0 12 Oct 2023
Contrastive Initial State Buffer for Reinforcement Learning Nico Messikommer Yunlong Song Davide Scaramuzza OffRL 49 9 0 18 Sep 2023
Tomato Maturity Recognition with Convolutional Transformers Asim Khan Taimur Hassan Muhammad Shafay Israa Fahmy Naoufel Werghi Seneviratne Mudigansalage Irfan Hussain ViT 42 24 0 04 Jul 2023
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis Andrew Hryniowski Alexander Wong 23 0 0 16 Jun 2023
Analyzing Text Representations by Measuring Task Alignment César González-Gutiérrez Audi Primadhanty Francesco Cazzaro A. Quattoni 23 1 0 31 May 2023
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation Simone Ciceri Lorenzo Cassani Matteo Osella P. Rotondo P. Pizzochero M. Gherardi 44 7 0 09 Mar 2023
Coarse-to-Fine Contrastive Learning on Graphs Peiyao Zhao Yuangang Pan Xin Li Xu Chen Ivor W. Tsang L. Liao SSL 42 5 0 13 Dec 2022
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning Xiaobao Wu Anh Tuan Luu Xinshuai Dong 32 44 0 23 Nov 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 30 42 0 19 Sep 2022
Semantic-based Pre-training for Dialogue Understanding Xuefeng Bai Linfeng Song Yue Zhang 43 7 0 19 Sep 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 40 3 0 03 Aug 2022
On the Difficulty of Defending Self-Supervised Learning against Model Extraction Adam Dziedzic Nikita Dhawan Muhammad Ahmad Kaleem Jonas Guan Nicolas Papernot MIACV 56 22 0 16 May 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 29 4 0 18 Apr 2022
Logit Normalization for Long-tail Object Detection Liang Zhao Yao Teng Limin Wang 33 10 0 31 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing Yiting Li H. Zhu Xijia Feng Zilong Cheng Jun Ma Cheng Xiang P. Vadakkepat T. Lee CLL VLM 32 2 0 19 Mar 2022
Contrastive Boundary Learning for Point Cloud Segmentation Liyao Tang Yibing Zhan Zhe Chen Baosheng Yu Dacheng Tao 3DPC 38 103 0 10 Mar 2022
Learning Debiased and Disentangled Representations for Semantic Segmentation Sanghyeok Chu Dongwan Kim Bohyung Han 26 22 0 31 Oct 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark Zhenxi Zhu Limin Wang Sheng Guo Gangshan Wu 47 32 0 24 Oct 2021
On the Challenges of Open World Recognitionunder Shifting Visual Domains Dario Fontanel Fabio Cermelli Massimiliano Mancini Barbara Caputo 32 1 0 09 Jul 2021
Dissecting Supervised Contrastive Learning Florian Graf Christoph Hofer Marc Niethammer Roland Kwitt SSL 117 70 0 17 Feb 2021
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 20 97 0 17 Dec 2020
A Systematic Review on Model Watermarking for Neural Networks Franziska Boenisch AAML 11 64 0 25 Sep 2020
Adversarial Training Reduces Information and Improves Transferability M. Terzi Alessandro Achille Marco Maggipinto Gian Antonio Susto AAML 24 23 0 22 Jul 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 46 100 0 15 Jun 2020
Calibrated neighborhood aware confidence measure for deep metric learning Maryna Karpusha Sunghee Yun István Fehérvári UQCV FedML 27 2 0 08 Jun 2020
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J. Liang Lawrence Carin Yiran Chen AAML 30 84 0 27 Apr 2020
Boosting Deep Open World Recognition by Clustering Dario Fontanel Fabio Cermelli Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo 20 21 0 20 Apr 2020
Entangled Watermarks as a Defense against Model Extraction Hengrui Jia Christopher A. Choquette-Choo Varun Chandrasekaran Nicolas Papernot WaLM AAML 15 218 0 27 Feb 2020
A Closer Look at Domain Shift for Deep Learning in Histopathology Karin Stacke Gabriel Eilertsen Jonas Unger Claes Lundström OOD 18 63 0 25 Sep 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 11 29 0 23 Jun 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 353 5,849 0 08 Jul 2016