Title
Guided Deep Metric Learning Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza M. Mendez-Ruiz G. Ochoa-Ruiz Andres Mendez-Vazquez FedML 32 5 0 04 Jun 2022
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons FedML 24 46 0 01 Jun 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder G. Horowitz Yoav Wald Roi Reichart Nir Rosenfeld OOD 16 7 0 01 Jun 2022
Differentiable Invariant Causal Discovery Yu-Xiang Wang An Zhang Xiang Wang Yancheng Yuan Xiangnan He Tat-Seng Chua OOD CML 35 1 0 31 May 2022
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models Wangchunshu Zhou Yan Zeng Shizhe Diao Xinsong Zhang CoGe VLM 32 13 0 30 May 2022
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift Wenyu Zhang Li Shen Wanyue Zhang Chuan-Sheng Foo TTA 57 18 0 30 May 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 30 24 0 30 May 2022
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images Hongzheng Yang Cheng Chen Meirui Jiang Quande Liu Jianfeng Cao Pheng Ann Heng Qi Dou OOD 40 26 0 27 May 2022
Understanding new tasks through the lens of training data via exponential tilting Subha Maity Mikhail Yurochkin Moulinath Banerjee Yuekai Sun 37 10 0 26 May 2022
Looking for Out-of-Distribution Environments in Multi-center Critical Care Data Dimitris Spathis Stephanie L. Hyland OOD CML 27 4 0 26 May 2022
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin Xiangyang Ji Antoni B. Chan OOD 45 14 0 25 May 2022
Linear Connectivity Reveals Generalization Strategies Jeevesh Juneja Rachit Bansal Kyunghyun Cho João Sedoc Naomi Saphra 244 45 0 24 May 2022
On the Paradox of Learning to Reason from Data Honghua Zhang Liunian Harold Li Tao Meng Kai-Wei Chang Mathias Niepert NAI ReLM OOD LRM 140 104 0 23 May 2022
Conditional Supervised Contrastive Learning for Fair Text Classification Jianfeng Chi Will Shand Yaodong Yu Kai-Wei Chang Han Zhao Yuan Tian FaML 49 14 0 23 May 2022
Rethinking Streaming Machine Learning Evaluation Shreya Shankar Bernease Herman Aditya G. Parameswaran LRM 46 6 0 23 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 85 43 0 22 May 2022
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments Chenxu Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Feng Chen CLL 57 21 0 20 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 199 128 0 19 May 2022
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 33 56 0 11 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory Harmanpreet Kaur Eytan Adar Eric Gilbert Cliff Lampe 16 59 0 10 May 2022
White-box Testing of NLP models with Mask Neuron Coverage Arshdeep Sekhon Yangfeng Ji Matthew B. Dwyer Yanjun Qi AAML 17 3 0 10 May 2022
Localized Adversarial Domain Generalization Wei-wei Zhu Le Lu Jing Xiao Mei Han Jiebo Luo Adam P. Harrison OOD 32 22 0 09 May 2022
Optimally tackling covariate shift in RKHS-based nonparametric regression Cong Ma Reese Pathak Martin J. Wainwright 11 41 0 06 May 2022
Domain Adaptation meets Individual Fairness. And they get along Debarghya Mukherjee Felix Petersen Mikhail Yurochkin Yuekai Sun FaML 19 16 0 01 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 17 20 0 28 Apr 2022
Algorithms and Theory for Supervised Gradual Domain Adaptation Jing Dong Shiji Zhou Baoxiang Wang Haiying Zhao OOD 29 7 0 25 Apr 2022
Can domain adaptation make object recognition work for everyone? Viraj Prabhu Ramprasaath R. Selvaraju Judy Hoffman Nikhil Naik OOD 32 8 0 23 Apr 2022
Reward Reports for Reinforcement Learning T. Gilbert Nathan Lambert Sarah Dean Tom Zick Aaron J. Snoswell 32 33 0 22 Apr 2022
On Distribution Shift in Learning-based Bug Detectors Jingxuan He Luca Beurer-Kellner Martin Vechev 21 18 0 21 Apr 2022
Testing robustness of predictions of trained classifiers against naturally occurring perturbations S. Scher A. Trugler OOD AAML 25 1 0 21 Apr 2022
Improved Group Robustness via Classifier Retraining on Independent Splits Thien Hai Nguyen Hongyang R. Zhang Huy Le Nguyen OOD 31 2 0 20 Apr 2022
Active Learning Helps Pretrained Models Learn the Intended Task Alex Tamkin Dat Nguyen Salil Deshpande Jesse Mu Noah D. Goodman 26 35 0 18 Apr 2022
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond Haoxiang Wang Bo-wen Li Han Zhao OOD CLL 30 38 0 18 Apr 2022
NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 35 75 0 17 Apr 2022
MIMO Channel Estimation using Score-Based Generative Models Marius Arvinte Jonathan I. Tamir DiffM 32 50 0 14 Apr 2022
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel Tatsunori Hashimoto Graham Neubig OOD 30 15 0 13 Apr 2022
Experimental Standards for Deep Learning in Natural Language Processing Research Dennis Ulmer Elisa Bassignana Max Müller-Eberstein Daniel Varab Mike Zhang Rob van der Goot Christian Hardmeier Barbara Plank 19 10 0 13 Apr 2022
Rethinking Machine Learning Model Evaluation in Pathology Syed Ashar Javed Dinkar Juyal Zahil Shanis S. Chakraborty Harsha Pokkalla Aaditya (Adi) Prakash LM&MA 30 12 0 11 Apr 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 45 127 0 11 Apr 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 21 38 0 10 Apr 2022
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language Jacob Eisenstein CML 35 25 0 09 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization Zeyi Huang Haohan Wang Dong Huang Yong Jae Lee Eric P. Xing 19 22 0 09 Apr 2022
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Wei Ma Mike Papadakis Yves Le Traon MQ 44 1 0 08 Apr 2022
LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Mike Papadakis Yves Le Traon 23 5 0 08 Apr 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization B. Kulynych Yao-Yuan Yang Yaodong Yu Jarosław Błasiok Preetum Nakkiran OOD 25 9 0 07 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 46 43 0 06 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 49 318 0 06 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yaofo Chen S. Zheng P. Zhao Mingkui Tan OOD VLM TTA 33 311 0 06 Apr 2022
Exploring Visual Prompts for Adapting Large-Scale Models Hyojin Bahng Ali Jahanian S. Sankaranarayanan Phillip Isola VLM VPVLM LRM 25 255 0 31 Mar 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models Vikash Sehwag C. Hazirbas Albert Gordo Firat Ozgenel Cristian Canton Ferrer DiffM 38 66 0 31 Mar 2022