Title
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification Zhihui Zhu Xinyang Jiang Feng Zheng Xiao-Wei Guo Feiyue Huang Weishi Zheng Xing Sun 19 71 0 03 Dec 2019
Neural Network Memorization Dissection Jindong Gu Volker Tresp FedML 17 12 0 21 Nov 2019
Forecasting significant stock price changes using neural networks F. Kamalov AIFin 16 80 0 21 Nov 2019
Where is the Bottleneck of Adversarial Learning with Unlabeled Data? Jingfeng Zhang Bo Han Gang Niu Tongliang Liu Masashi Sugiyama 30 6 0 20 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Robust Training with Ensemble Consensus Jisoo Lee Sae-Young Chung NoLa 22 28 0 22 Oct 2019
A Closer Look at Data Bias in Neural Extractive Summarization Models Ming Zhong Danqing Wang Pengfei Liu Xipeng Qiu Xuanjing Huang 53 42 0 30 Sep 2019
Overparameterized Neural Networks Implement Associative Memory Adityanarayanan Radhakrishnan M. Belkin Caroline Uhler BDL 35 71 0 26 Sep 2019
VILD: Variational Imitation Learning with Diverse-quality Demonstrations Voot Tangkaratt Bo Han Mohammad Emtiyaz Khan Masashi Sugiyama 25 20 0 15 Sep 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification Hao Wang Bing-Quan Liu Chaozhuo Li Yan Yang Tianrui Li NoLa 29 26 0 31 Aug 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 39 880 0 16 Aug 2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images Nick Pawlowski Suvrat Bhooshan Nicolas Ballas F. Ciompi Ben Glocker M. Drozdzal 27 22 0 16 Aug 2019
Visualizing the PHATE of Neural Networks Scott A. Gigante Adam S. Charles Smita Krishnaswamy Gal Mishne 36 37 0 07 Aug 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory Liu Ziyin Zhikang T. Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda 26 111 0 29 Jun 2019
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking Ziqi Yang Hung Dang E. Chang AAML 27 34 0 14 Jun 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 61 483 0 12 Jun 2019
SGD on Neural Networks Learns Functions of Increasing Complexity Preetum Nakkiran Gal Kaplun Dimitris Kalimeris Tristan Yang Benjamin L. Edelman Fred Zhang Boaz Barak MLT 39 236 0 28 May 2019
Combating Label Noise in Deep Learning Using Abstention S. Thulasidasan Tanmoy Bhattacharya J. Bilmes Gopinath Chennupati J. Mohd-Yusof NoLa 22 178 0 27 May 2019
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets Guy Hacohen Leshem Choshen D. Weinshall AI4TS OOD 22 56 0 26 May 2019
Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks Tao Luo Zhi-Qin John Xu Yaoyu Zhang Zheng Ma MLT AI4CE 39 38 0 24 May 2019
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 66 172 0 24 May 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 21 24 0 08 Apr 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters Xinshao Wang Yang Hua Elyor Kodirov David Clifton N. Robertson NoLa 24 62 0 28 Mar 2019
Implicit Regularization in Over-parameterized Neural Networks M. Kubo Ryotaro Banno Hidetaka Manabe Masataka Minoji 35 23 0 05 Mar 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee Sukmin Yun Kibok Lee Honglak Lee Yue Liu Jinwoo Shin NoLa 33 134 0 31 Jan 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes Sai Praneeth Karimireddy Quentin Rebjock Sebastian U. Stich Martin Jaggi 27 493 0 28 Jan 2019
Stiffness: A New Perspective on Generalization in Neural Networks Stanislav Fort Pawel Krzysztof Nowak Stanislaw Jastrzebski S. Narayanan 27 94 0 28 Jan 2019
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification Cheng Xue Qi Dou Xueying Shi Hao Chen Pheng Ann Heng NoLa 27 104 0 23 Jan 2019
Overfitting Mechanism and Avoidance in Deep Neural Networks Shaeke Salman Xiuwen Liu 25 139 0 19 Jan 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks Zhi-Qin John Xu Tao Luo Yaoyu Zhang Yan Xiao Zheng Ma 40 504 0 19 Jan 2019
Generalization in Deep Networks: The Role of Distance from Initialization Vaishnavh Nagarajan J. Zico Kolter ODL 15 95 0 07 Jan 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 48 715 0 12 Dec 2018
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks P. Góra M. Brzeski Marcin Mo.zejko Arkadiusz Klemenko A. Kochanski 27 6 0 02 Dec 2018
Label-Noise Robust Generative Adversarial Networks Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada NoLa 30 60 0 27 Nov 2018
Class-Distinct and Class-Mutual Image Generation with GANs Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada 20 9 0 27 Nov 2018
Limited Gradient Descent: Learning With Noisy Labels Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 35 13 0 20 Nov 2018
Deep Frank-Wolfe For Neural Network Optimization Leonard Berrada Andrew Zisserman M. P. Kumar ODL 21 40 0 19 Nov 2018
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity Chulhee Yun S. Sra Ali Jadbabaie 34 117 0 17 Oct 2018
Detecting Memorization in ReLU Networks Edo Collins Siavash Bigdeli Sabine Süsstrunk 36 4 0 08 Oct 2018
A Practical Approach to Sizing Neural Networks Gerald Friedland A. Metere M. M. Krell 22 7 0 04 Oct 2018
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning Charles H. Martin Michael W. Mahoney AI4CE 52 193 0 02 Oct 2018
Improving the Generalization of Adversarial Training with Domain Adaptation Chuanbiao Song Kun He Liwei Wang J. Hopcroft AAML OOD 28 131 0 01 Oct 2018
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter Lijun Wu Xu Tan Di He Fei Tian Tao Qin Jianhuang Lai Tie-Yan Liu 20 48 0 01 Sep 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos R. Rey-de-Castro H. Rabitz AAML 19 10 0 27 Aug 2018
Understanding training and generalization in deep learning by Fourier analysis Zhi-Qin John Xu AI4CE 24 92 0 13 Aug 2018
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 59 1,397 0 22 Jun 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 33 177 0 20 Jun 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 32 434 0 14 Jun 2018
Baselines and a datasheet for the Cerema AWP dataset Ismaïla Seck Khouloud Dahmane Pierre Duthon Gaëlle Loosli 24 11 0 11 Jun 2018
Dimensionality-Driven Learning with Noisy Labels Xingjun Ma Yisen Wang Michael E. Houle Shuo Zhou S. Erfani Shutao Xia S. Wijewickrema James Bailey NoLa 35 425 0 07 Jun 2018