When Does Label Smoothing Help?

6 June 2019

Papers citing "When Does Label Smoothing Help?"

50 / 354 papers shown

Title
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 31 11 0 19 Sep 2022
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss B. Felfeliyan A. Hareendranathan G. Kuntze S. Wichuk Nils D. Forkert Jacob L. Jaremko J. Ronsky NoLa 41 2 0 16 Sep 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection Abhay Rawat Isha Dua Saurav Gupta Rahul Tallamraju 15 1 0 05 Sep 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models Xinlei He Zheng Li Weilin Xu Cory Cornelius Yang Zhang MIACV 38 24 0 22 Aug 2022
Rethinking Knowledge Distillation via Cross-Entropy Zhendong Yang Zhe Li Yuan Gong Tianke Zhang Shanshan Lao Chun Yuan Yu Li 33 14 0 22 Aug 2022
Effectiveness of Function Matching in Driving Scene Recognition Shingo Yashima 26 1 0 20 Aug 2022
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation Yunzhong Hou Stephen Gould Liang Zheng 32 0 0 17 Aug 2022
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning Haoyuan He Wang-Zhou Dai Ming Li AI4CE 34 2 0 14 Aug 2022
Is Your Model Sensitive? SPeDaC: A New Benchmark for Detecting and Classifying Sensitive Personal Data Gaia Gambarelli Aldo Gangemi Rocco Tripodi 32 8 0 12 Aug 2022
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition Ye Qiao Mohammed Alnemari N. Bagherzadeh MQ 11 7 0 26 Jul 2022
Two-Pass Low Latency End-to-End Spoken Language Understanding Siddhant Arora Siddharth Dalmia Xuankai Chang Brian Yan A. Black Shinji Watanabe VLM 30 19 0 14 Jul 2022
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing S. J. Anushri Suresh Nisha J.S. V. Gopi VLM 31 6 0 13 Jul 2022
Masked Autoencoders that Listen Po-Yao (Bernie) Huang Hu Xu Juncheng Billy Li Alexei Baevski Michael Auli Wojciech Galuba Florian Metze Christoph Feichtenhofer 21 268 0 13 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 27 30 0 13 Jul 2022
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding Yifan Peng Siddharth Dalmia Ian Lane Shinji Watanabe 30 143 0 06 Jul 2022
PrUE: Distilling Knowledge from Sparse Teacher Networks Shaopu Wang Xiaojun Chen Mengzhen Kou Jinqiao Shi 19 2 0 03 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator K. M. Collins Umang Bhatt Adrian Weller 23 44 0 02 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 25 6 0 30 Jun 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? Keshigeyan Chandrasegaran Ngoc-Trung Tran Yunqing Zhao Ngai-man Cheung 86 41 0 29 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 33 34 0 29 Jun 2022
Knowledge Distillation of Transformer-based Language Models Revisited Chengqiang Lu Jianwei Zhang Yunfei Chu Zhengyu Chen Jingren Zhou Fei Wu Haiqing Chen Hongxia Yang VLM 27 10 0 29 Jun 2022
Robust SAR ATR on MSTAR with Deep Learning Models trained on Full Synthetic MOCEM data Benjamin Camus C. Barbu Eric Monteux 25 4 0 15 Jun 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation Jonghyun Lee Dahuin Jung Junho Yim Sung-Hoon Yoon TTA 21 70 0 14 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 23 5 0 11 Jun 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 33 11 0 03 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks Y. Fu Haichuan Yang Jiayi Yuan Meng Li Cheng Wan Raghuraman Krishnamoorthi Vikas Chandra Yingyan Lin 36 19 0 02 Jun 2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? Christoph Koller Goran Kauermann Xiao Xiang Zhu UQCV 24 6 0 30 May 2022
Conformal Credal Self-Supervised Learning Julian Lienen Caglar Demir Eyke Hüllermeier 29 13 0 30 May 2022
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation Yuhe Ding Lijun Sheng Jian Liang A. Zheng Ran He 47 47 0 29 May 2022
Parameter-Efficient and Student-Friendly Knowledge Distillation Jun Rao Xv Meng Liang Ding Shuhan Qi Dacheng Tao 37 46 0 28 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 37 3 0 25 May 2022
Masterful: A Training Platform for Computer Vision Models S. Wookey Yaoshiang Ho Thomas D. Rikert Juan David Gil Lopez Juan Manuel Munoz Beancur ... Ray Tawil Aaron Sabin Jack Lynch Travis Harper Nikhil Gajendrakumar VLM 23 1 0 21 May 2022
Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer Zhengyuan Liu Nancy F. Chen 19 1 0 19 May 2022
Exploring the Learning Difficulty of Data Theory and Measure Weiyao Zhu Ou Wu Fengguang Su Yingjun Deng 35 5 0 16 May 2022
Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting IV WilliamH.Clark Alan J. Michaels 16 2 0 07 May 2022
Quality-Aware Decoding for Neural Machine Translation Patrick Fernandes António Farinhas Ricardo Rei José G. C. de Souza Perez Ogayo Graham Neubig André F. T. Martins 41 57 0 02 May 2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding Bowen Liang Pidong Wang Yuan Cao 24 1 0 02 May 2022
A Challenging Benchmark of Anime Style Recognition Haotang Li S. Guo Kailin Lyu Xiao Yang Tianchen Chen Jianqing Zhu Huanqiang Zeng CVBM 21 5 0 29 Apr 2022
6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning Tianyu Cui Gaopeng Gou G. Xiong Chang Liu Peipei Fu Zhen Li GAN 18 28 0 21 Apr 2022
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments Christopher Hidey Fei Liu Rahul Goel 27 4 0 10 Apr 2022
Robust Cross-Modal Representation Learning with Progressive Self-Distillation A. Andonian Shixing Chen Raffay Hamid VLM 29 54 0 10 Apr 2022
Decompositional Generation Process for Instance-Dependent Partial Label Learning Congyu Qiao Ning Xu Xin Geng 126 75 0 08 Apr 2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results T. Ridnik Hussam Lawen Emanuel Ben-Baruch Asaf Noy 38 11 0 07 Apr 2022
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation Tao Feng Mang Wang Hangjie Yuan ObjD CLL 26 84 0 05 Apr 2022
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification Chao Yu Yi Shen Yue Mao Longjun Cai 29 22 0 02 Apr 2022
Dynamic Supervisor for Cross-dataset Object Detection Ze Chen Zhihang Fu Jianqiang Huang Mingyuan Tao Sheng-Gang Li Rongxin Jiang Xiang Tian Yao-wu Chen Xiansheng Hua 28 0 0 01 Apr 2022
Learning to segment fetal brain tissue from noisy annotations Davood Karimi C. Rollins C. Velasco-Annis Abdelhakim Ouaalam Ali Gholipour 26 25 0 25 Mar 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 25 42 0 25 Mar 2022
Learning Confidence for Transformer-based Neural Machine Translation Yu Lu Jiali Zeng Jiajun Zhang Shuangzhi Wu Mu Li 38 9 0 22 Mar 2022