Mon 9:00 a.m. - 9:10 a.m.
|
Opening remarks
(
Talk
)
>
SlidesLive Video
|
Shiori Sagawa
馃敆
|
Mon 9:10 a.m. - 9:35 a.m.
|
Distribution Shifts in AI for Social Good
(
Invited talk
)
>
SlidesLive Video
|
Ernest Mwebaze
馃敆
|
Mon 9:35 a.m. - 10:00 a.m.
|
Dataset Shifts: 8 Years of Going from Practice to Theory to Policy and Future Directions
(
Invited talk
)
>
SlidesLive Video
|
Suchi Saria
馃敆
|
Mon 10:00 a.m. - 10:25 a.m.
|
ML Model Debugging: A Data Perspective
(
Invited talk
)
>
SlidesLive Video
|
Aleksander Madry
馃敆
|
Mon 10:30 a.m. - 11:00 a.m.
|
Discussion: Aleksander M膮dry, Ernest Mwebaze, Suchi Saria
(
Panel
)
>
SlidesLive Video
|
Aleksander Madry 路 Ernest Mwebaze 路 Suchi Saria
馃敆
|
Mon 11:00 a.m. - 11:25 a.m.
|
Increasing Robustness to Distribution Shifts by Improving Design
(
Invited talk
)
>
SlidesLive Video
|
Elizabeth Tipton
馃敆
|
Mon 11:25 a.m. - 11:50 a.m.
|
Statistical Testing under Distribution Shifts
(
Invited talk
)
>
SlidesLive Video
|
Jonas Peters
馃敆
|
Mon 11:50 a.m. - 12:10 p.m.
|
Discussion: Elizabeth Tipton, Jonas Peters
(
Panel
)
>
SlidesLive Video
|
Elizabeth Tipton 路 Jonas Peters
馃敆
|
Mon 12:20 p.m. - 12:30 p.m.
|
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
(
Spotlight
)
>
link
SlidesLive Video
|
Neil Band 路 Tim G. J. Rudner 路 Qixuan Feng 路 Angelos Filos 路 Zachary Nado 路 Mike Dusenberry 路 Ghassen Jerfel 路 Dustin Tran 路 Yarin Gal
馃敆
|
Mon 12:30 p.m. - 12:40 p.m.
|
A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs
(
Spotlight
)
>
link
SlidesLive Video
|
Mucong Ding 路 Kezhi Kong 路 Jiuhai Chen 路 John Kirchenbauer 路 Micah Goldblum 路 David P Wipf 路 Furong Huang 路 Tom Goldstein
馃敆
|
Mon 12:40 p.m. - 12:50 p.m.
|
On Adaptivity and Confounding in Contextual Bandit Experiments
(
Spotlight
)
>
link
SlidesLive Video
|
Chao Qin 路 Daniel Russo
馃敆
|
Mon 12:50 p.m. - 1:00 p.m.
|
Is Importance Weighting Incompatible with Interpolating Classifiers?
(
Spotlight
)
>
link
SlidesLive Video
|
Ke Alexander Wang 路 Niladri Chatterji 路 Saminul Haque 路 Tatsunori Hashimoto
馃敆
|
Mon 1:00 p.m. - 3:00 p.m.
|
Poster session
(
Poster session
)
>
link
|
馃敆
|
Mon 3:00 p.m. - 3:45 p.m.
|
Break / Lounge
link
|
馃敆
|
Mon 3:50 p.m. - 4:15 p.m.
|
Importance Weighting for Transfer Learning
(
Invited talk
)
>
SlidesLive Video
|
Masashi Sugiyama
馃敆
|
Mon 4:15 p.m. - 4:40 p.m.
|
Robustness through the Lens of Invariance
(
Invited talk
)
>
SlidesLive Video
|
Chelsea Finn
馃敆
|
Mon 4:40 p.m. - 5:00 p.m.
|
Discussion: Chelsea Finn, Masashi Sugiyama
(
Panel
)
>
SlidesLive Video
|
Chelsea Finn 路 Masashi Sugiyama
馃敆
|
Mon 5:00 p.m. - 6:00 p.m.
|
Panel: Future directions for tackling distribution shifts
(
Panel
)
>
SlidesLive Video
|
Tatsunori Hashimoto 路 Jamie Morgenstern 路 Judy Hoffman 路 Andrew Beck
馃敆
|
-
|
On Adaptivity and Confounding in Contextual Bandit Experiments
(
Poster
)
>
link
|
Chao Qin 路 Daniel Russo
馃敆
|
-
|
Exploring Covariate and Concept Shift for Out-of-Distribution Detection
(
Poster
)
>
link
SlidesLive Video
|
Junjiao Tian 路 Yen-Chang Hsu 路 Yilin Shen 路 Hongxia Jin 路 Zsolt Kira
馃敆
|
-
|
Just Mix Once: Mixing Samples with Implicit Group Distribution
(
Poster
)
>
link
SlidesLive Video
|
Giorgio Giannone 路 Serhii Havrylov 路 Jordan Massiah 路 Emine Yilmaz 路 Yunlong Jiao
馃敆
|
-
|
PCA Subspaces Are Not Always Optimal for Bayesian Learning
(
Poster
)
>
link
SlidesLive Video
|
Alexandre Bense 路 Amir Joudaki 路 Tim G. J. Rudner 路 Vincent Fortuin
馃敆
|
-
|
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
(
Poster
)
>
link
|
Dan Hendrycks 路 Andy Zou 路 Mantas Mazeika 路 Leonard Tang 路 Dawn Song 路 Jacob Steinhardt
馃敆
|
-
|
Quantifying and Alleviating Distribution Shifts in Foundation Models on Review Classification
(
Poster
)
>
link
SlidesLive Video
|
Sehaj Chawla 路 Nikhil Singh 路 Iddo Drori
馃敆
|
-
|
Mixture of Basis for Interpretable Continual Learning with Distribution Shifts
(
Poster
)
>
link
SlidesLive Video
|
Mengda Xu 路 Sumitra Ganesh 路 Pranay Pasula
馃敆
|
-
|
Ensembles and Cocktails: Robust Finetuning for Natural Language Generation
(
Poster
)
>
link
|
John Hewitt 路 Xiang Li 路 Sang Michael Xie 路 Benjamin Newman 路 Percy Liang
馃敆
|
-
|
A benchmark with decomposed distribution shifts for 360 monocular depth estimation
(
Poster
)
>
link
SlidesLive Video
|
Georgios Albanis 路 Nikolaos Zioulis 路 Petros Drakoulis 路 Dimitrios Zarpalas 路 Petros Daras
馃敆
|
-
|
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
(
Poster
)
>
link
|
Saurabh Garg 路 Sivaraman Balakrishnan 路 Zachary Lipton 路 Behnam Neyshabur 路 Hanie Sedghi
馃敆
|
-
|
Improving Baselines in the Wild
(
Poster
)
>
link
|
Kazuki Irie 路 Imanol Schlag 路 R贸bert Csord谩s 路 J眉rgen Schmidhuber
馃敆
|
-
|
Boosting worst-group accuracy without group annotations
(
Poster
)
>
link
SlidesLive Video
|
Vincent Bardenhagen 路 Alexandru Tifrea 路 Fanny Yang
馃敆
|
-
|
Adversarial Training Blocks Generalization in Neural Policies
(
Poster
)
>
link
SlidesLive Video
|
Ezgi Korkmaz
馃敆
|
-
|
Revisiting Visual Product for Compositional Zero-Shot Learning
(
Poster
)
>
link
SlidesLive Video
|
Shyamgopal Karthik 路 Massimiliano Mancini 路 Zeynep Akata
馃敆
|
-
|
Nonparametric Approach to Uncertainty Quantification for Deterministic Neural Networks
(
Poster
)
>
link
|
Nikita Kotelevskii 路 Alexander Fishkov 路 Kirill Fedyanin 路 Aleksandr Petiushko 路 Maxim Panov
馃敆
|
-
|
Towards Robust and Adaptable Motion Forecasting: A Causal Representation Perspective
(
Poster
)
>
link
|
Yuejiang Liu 路 Alexandre Alahi
馃敆
|
-
|
A Closer Look at Distribution Shifts and Out-of-Distribution Generalization on Graphs
(
Poster
)
>
link
SlidesLive Video
|
Mucong Ding 路 Kezhi Kong 路 Jiuhai Chen 路 John Kirchenbauer 路 Micah Goldblum 路 David P Wipf 路 Furong Huang 路 Tom Goldstein
馃敆
|
-
|
Shift and Scale is Detrimental To Few-Shot Transfer
(
Poster
)
>
link
|
Moslem Yazdanpanah 路 Christian Desrosiers 路 Mohammad Havaei 路 Eugene Belilovsky 路 Samira Ebrahimi Kahou
馃敆
|
-
|
Calibrated Ensembles: A Simple Way to Mitigate ID-OOD Accuracy Tradeoffs
(
Poster
)
>
link
SlidesLive Video
|
Ananya Kumar 路 Aditi Raghunathan 路 Tengyu Ma 路 Percy Liang
馃敆
|
-
|
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations
(
Poster
)
>
link
|
Michael Zhang 路 Nimit Sohoni 路 Hongyang Zhang 路 Chelsea Finn 路 Christopher R茅
馃敆
|
-
|
Domain-agnostic Test-time Adaptation by Prototypical Training with Auxiliary Data
(
Poster
)
>
link
SlidesLive Video
|
Qilong Wu 路 Xiangyu Yue 路 Alberto Sangiovanni-Vincentelli
馃敆
|
-
|
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
(
Poster
)
>
link
SlidesLive Video
|
Aadarsh Sahoo 路 Rameswar Panda 路 Rogerio Feris 路 Kate Saenko 路 Abir Das
馃敆
|
-
|
Spectrally Adaptive Common Spatial Patterns
(
Poster
)
>
link
|
Mahta Mousavi 路 Eric Lybrand 路 Shuangquan Feng 路 Shuai Tang 路 Rayan Saab 路 Virginia de Sa
馃敆
|
-
|
How Does Contrastive Pre-training Connect Disparate Domains?
(
Poster
)
>
link
SlidesLive Video
|
Kendrick Shen 路 Robert Jones 路 Ananya Kumar 路 Sang Michael Xie 路 Percy Liang
馃敆
|
-
|
Handling Distribution Shift in Tire Design
(
Poster
)
>
link
SlidesLive Video
|
Antoine De mathelin 路 Fran莽ois Deheeger 路 Mathilde MOUGEOT 路 Nicolas Vayatis
馃敆
|
-
|
Learning Invariant Representations with Missing Data
(
Poster
)
>
link
|
Mark Goldstein 路 Adriel Saporta 路 Aahlad Puli 路 Rajesh Ranganath 路 Andrew Miller
馃敆
|
-
|
Multi-Domain Ensembles for Domain Generalization
(
Poster
)
>
link
|
Kowshik Thopalli 路 Sameeksha Katoch 路 Jayaraman Thiagarajan 路 Pavan Turaga 路 Andreas Spanias
馃敆
|
-
|
Benchmarking Robustness to Natural Distribution Shifts for Facial Analysis
(
Poster
)
>
link
SlidesLive Video
|
Jessica Deuschel 路 Andreas Foltyn
馃敆
|
-
|
Distribution Shift in Airline Customer Behavior during COVID-19
(
Poster
)
>
link
SlidesLive Video
|
Abhinav Garg 路 naman shukla 路 Lavanya Marla 路 Sriram Somanchi
馃敆
|
-
|
Extending the WILDS Benchmark for Unsupervised Adaptation
(
Poster
)
>
link
|
18 presenters
Shiori Sagawa 路 Pang Wei Koh 路 Tony Lee 路 Irena Gao 路 Sang Michael Xie 路 Kendrick Shen 路 Ananya Kumar 路 Weihua Hu 路 Michihiro Yasunaga 路 Henrik Marklund 路 Sara Beery 路 Ian Stavness 路 Jure Leskovec 路 Kate Saenko 路 Tatsunori Hashimoto 路 Sergey Levine 路 Chelsea Finn 路 Percy Liang
馃敆
|
-
|
Tackling Online One-Class Incremental Learning by Removing Negative Contrasts
(
Poster
)
>
link
|
Nader Asadi 路 Sudhir Mudur 路 Eugene Belilovsky
馃敆
|
-
|
Avoiding Spurious Correlations: Bridging Theory and Practice
(
Poster
)
>
link
|
Thao Nguyen 路 Hanie Sedghi 路 Behnam Neyshabur
馃敆
|
-
|
Model Zoo: A Growing Brain That Learns Continually
(
Poster
)
>
link
SlidesLive Video
|
Rahul Ramesh 路 Pratik Chaudhari
馃敆
|
-
|
The impact of domain shift on the calibration of fine-tuned models
(
Poster
)
>
link
|
Jay Mohta 路 Colin Raffel
馃敆
|
-
|
Probing Representation Forgetting in Continual Learning
(
Poster
)
>
link
|
MohammadReza Davari 路 Eugene Belilovsky
馃敆
|
-
|
Kernel Landmarks: An Empirical Statistical Approach to Detect Covariate Shift
(
Poster
)
>
link
SlidesLive Video
|
Yuksel Karahan 路 Bilal Riaz 路 Austin J Brockmeier
馃敆
|
-
|
A Unified DRO View of Multi-class Loss Functions with top-N Consistency
(
Poster
)
>
link
SlidesLive Video
|
Dixian Zhu 路 Tianbao Yang
馃敆
|
-
|
Re-labeling Domains Improves Multi-Domain Generalization
(
Poster
)
>
link
SlidesLive Video
|
Kowshik Thopalli 路 Pavan Turaga 路 Jayaraman Thiagarajan
馃敆
|
-
|
Using Distributionally Robust Optimization to improve robustness in cancer pathology
(
Poster
)
>
link
SlidesLive Video
|
Surya Narayanan Hari
馃敆
|
-
|
Thinking Beyond Distributions in Testing Machine Learned Models
(
Poster
)
>
link
|
Negar Rostamzadeh 路 Ben Hutchinson 路 Vinodkumar Prabhakaran
馃敆
|
-
|
Exploiting Causal Chains for Domain Generalization
(
Poster
)
>
link
SlidesLive Video
|
Olawale Salaudeen 路 Sanmi Koyejo
馃敆
|
-
|
KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain Shifts
(
Poster
)
>
link
SlidesLive Video
|
Eliot Xing 路 Abhinav Gupta 路 Samantha Powers 路 Victoria Dean
馃敆
|
-
|
Distributionally Robust Group Backwards Compatibility
(
Poster
)
>
link
SlidesLive Video
|
Martin Bertran 路 Natalia Martinez 路 Guillermo Sapiro
馃敆
|
-
|
Understanding and Improving Robustness of VisionTransformers through patch-based NegativeAugmentation
(
Poster
)
>
link
|
Yao Qin 路 Chiyuan Zhang 路 Ting Chen 路 Balaji Lakshminarayanan 路 Alex Beutel 路 Xuezhi Wang
馃敆
|
-
|
Unsupervised Attribute Alignment for Characterizing Distribution Shift
(
Poster
)
>
link
|
Matthew Olson 路 Rushil Anirudh 路 Jayaraman Thiagarajan 路 Timo Bremer 路 Weng-Keen Wong 路 Shusen Liu
馃敆
|
-
|
Identifying the Instances Associated with Distribution Shifts using the Max-Sliced Bures Divergence
(
Poster
)
>
link
SlidesLive Video
|
Austin J Brockmeier 路 Claudio Claros-Olivares 路 Luis G Sanchez Giraldo
馃敆
|
-
|
BEDS-Bench: Behavior of EHR-models under Distributional Shift - A Benchmark
(
Poster
)
>
link
|
Anand Avati 路 Martin Seneviratne 路 Yuan Xue 路 Zhen Xu 路 Balaji Lakshminarayanan 路 Andrew Dai
馃敆
|
-
|
Test Time Robustification of Deep Models via Adaptation and Augmentation
(
Poster
)
>
link
|
Marvin Zhang 路 Sergey Levine 路 Chelsea Finn
馃敆
|
-
|
Catastrophic Failures of Neural Active Learning on Heteroskedastic Distributions
(
Poster
)
>
link
SlidesLive Video
|
Savya Khosla 路 Alex Lamb 路 Jordan Ash 路 Cyril Zhang 路 Kenji Kawaguchi
馃敆
|
-
|
Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift
(
Poster
)
>
link
|
Sean Augenstein 路 Andrew S Hard 路 Rajiv Mathews
馃敆
|
-
|
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift
(
Poster
)
>
link
SlidesLive Video
|
Kehang Han 路 Balaji Lakshminarayanan 路 Jeremiah Liu
馃敆
|
-
|
Distribution Preserving Bayesian Coresets using Set Constraints
(
Poster
)
>
link
SlidesLive Video
|
Shovik Guha 路 Rajiv Khanna 路 Sanmi Koyejo
馃敆
|
-
|
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
(
Poster
)
>
link
SlidesLive Video
|
Yeping Hu 路 Xiaogang Jia 路 Masayoshi TOMIZUKA 路 Wei Zhan
馃敆
|
-
|
Robust fine-tuning of zero-shot models
(
Poster
)
>
link
|
Mitchell Wortsman 路 Gabriel Ilharco 路 Jong Wook Kim 路 Mike Li 路 Hanna Hajishirzi 路 Ali Farhadi 路 Hongseok Namkoong 路 Ludwig Schmidt
馃敆
|
-
|
Are Vision Transformers Always More Robust Than Convolutional Neural Networks?
(
Poster
)
>
link
SlidesLive Video
|
Francesco Pinto 路 Philip Torr 路 Puneet Dokania
馃敆
|
-
|
Newer is not always better: Rethinking transferability metrics, their peculiarities, stability and performance
(
Poster
)
>
link
SlidesLive Video
|
Shibal Ibrahim 路 Natalia Ponomareva 路 Rahul Mazumder
馃敆
|
-
|
Mix-MaxEnt: Improving Accuracy and Uncertainty Estimates of Deterministic Neural Networks
(
Poster
)
>
link
SlidesLive Video
|
Francesco Pinto 路 Harry Yang 路 Ser Nam Lim 路 Philip Torr 路 Puneet Dokania
馃敆
|
-
|
On The Reliability Of Machine Learning Applications In Manufacturing Environments
(
Poster
)
>
link
|
Nicolas Jourdan
馃敆
|
-
|
Igeood: An Information Geometry Approach to Out-of-Distribution Detection
(
Poster
)
>
link
SlidesLive Video
|
Eduardo Dadalto 路 Florence Alberge 路 Pierre Duhamel 路 Pablo Piantanida
馃敆
|
-
|
Towards Data-Free Domain Generalization
(
Poster
)
>
link
SlidesLive Video
|
Ahmed Frikha 路 Haokun Chen 路 Denis Krompa脽 路 Thomas Runkler 路 Volker Tresp
馃敆
|
-
|
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks
(
Poster
)
>
link
SlidesLive Video
|
Neil Band 路 Tim G. J. Rudner 路 Qixuan Feng 路 Angelos Filos 路 Zachary Nado 路 Mike Dusenberry 路 Ghassen Jerfel 路 Dustin Tran 路 Yarin Gal
馃敆
|
-
|
Continual Density Ratio Estimation
(
Poster
)
>
link
SlidesLive Video
|
Yu Chen 路 Song Liu 路 Tom Diethe 路 Peter Flach
馃敆
|
-
|
Gradient-matching coresets for continual learning
(
Poster
)
>
link
SlidesLive Video
|
Lukas Balles 路 Giovanni Zappella 路 Cedric Archambeau
馃敆
|
-
|
Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks
(
Poster
)
>
link
SlidesLive Video
|
Alexander Fuchs 路 Christian Knoll 路 Franz Pernkopf
馃敆
|
-
|
Augmented Self-Labeling for Source-Free Unsupervised Domain Adaptation
(
Poster
)
>
link
SlidesLive Video
|
Hao Yan 路 路 Chunsheng Yang
馃敆
|
-
|
An Empirical Study of Pre-trained Models on Out-of-distribution Generalization
(
Poster
)
>
link
SlidesLive Video
|
Yaodong Yu 路 Heinrich Jiang 路 Dara Bahri 路 Hossein Mobahi 路 Seungyeon Kim 路 Ankit Rawat 路 Andreas Veit 路 Yi Ma
馃敆
|
-
|
Randomly projecting out distribution shifts for improved robustness
(
Poster
)
>
link
SlidesLive Video
|
Isabela Albuquerque 路 Joao Monteiro 路 Tiago H Falk
馃敆
|
-
|
Semi-Supervised Domain Generalization with Stochastic StyleMatch
(
Poster
)
>
link
|
Kaiyang Zhou 路 Chen Change Loy 路 Ziwei Liu
馃敆
|
-
|
Understanding Post-hoc Adaptation for Improving Subgroup Robustness
(
Poster
)
>
link
SlidesLive Video
|
David Madras 路 Richard Zemel
馃敆
|
-
|
Optimal Representations for Covariate Shifts
(
Poster
)
>
link
SlidesLive Video
|
Yann Dubois 路 Yangjun Ruan 路 Chris Maddison
馃敆
|
-
|
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration
(
Poster
)
>
link
|
Ryan Soklaski 路 Michael Yee 路 Theodoros Tsiligkaridis
馃敆
|
-
|
Test time Adaptation through Perturbation Robustness
(
Poster
)
>
link
SlidesLive Video
|
Prabhu Teja Sivaprasad 路 Fran莽ois Fleuret
馃敆
|
-
|
Diurnal or Nocturnal? Federated Learning from Periodically Shifting Distributions
(
Poster
)
>
link
|
Chen Zhu 路 Zheng Xu 路 Mingqing Chen 路 Jakub Kone膷n媒 路 Andrew S Hard 路 Tom Goldstein
馃敆
|
-
|
Maximum Mean Discrepancy for Generalization in the Presence of Distribution and Missingness Shift
(
Poster
)
>
link
SlidesLive Video
|
Liwen Ouyang 路 Aaron Key
馃敆
|
-
|
A fine-grained analysis of robustness to distribution shifts
(
Poster
)
>
link
SlidesLive Video
|
Olivia Wiles 路 Sven Gowal 路 Florian Stimberg 路 Sylvestre-Alvise Rebuffi 路 Ira Ktena 路 Krishnamurthy Dvijotham 路 Taylan Cemgil
馃敆
|
-
|
Is Importance Weighting Incompatible with Interpolating Classifiers?
(
Poster
)
>
link
SlidesLive Video
|
Ke Alexander Wang 路 Niladri Chatterji 路 Saminul Haque 路 Tatsunori Hashimoto
馃敆
|
-
|
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency
(
Poster
)
>
link
SlidesLive Video
|
Samarth Mishra 路 Kate Saenko 路 Venkatesh Saligrama
馃敆
|
-
|
Self-supervised Learning is More Robust to Dataset Imbalance
(
Poster
)
>
link
|
Hong Liu 路 Jeff Z. HaoChen 路 Adrien Gaidon 路 Tengyu Ma
馃敆
|
-
|
Effect of Model Size on Worst-group Generalization
(
Poster
)
>
link
SlidesLive Video
|
Alan Pham 路 Eunice Chan 路 Vikranth Srivatsa 路 Dhruba Ghosh 路 Yaoqing Yang 路 Yaodong Yu 路 Ruiqi Zhong 路 Joseph Gonzalez 路 Jacob Steinhardt
馃敆
|
-
|
Smooth Transfer Learning for Source-to-Target Generalization
(
Poster
)
>
link
SlidesLive Video
|
Keita Takayama 路 Teppei Suzuki 路 Ikuro Sato 路 Rei Kawakami 路 Koichi Shinoda
馃敆
|
-
|
An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters
(
Poster
)
>
link
SlidesLive Video
|
Paul Gavrikov 路 Janis Keuper
馃敆
|
-
|
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift
(
Poster
)
>
link
SlidesLive Video
|
Valentina Gori 路 Luca Strazzera
馃敆
|
-
|
Internalized Biases in Fr茅chet Inception Distance
(
Poster
)
>
link
SlidesLive Video
|
Steffen Jung 路 Margret Keuper
馃敆
|
-
|
Investigating Shifts in GAN Output-Distributions
(
Poster
)
>
link
SlidesLive Video
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Ricard Durall 路 Janis Keuper
馃敆
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ConDA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations
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Poster
)
>
link
SlidesLive Video
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Manuel Perez 路 Guillermo Cabrera-Vives 路 Pavlos Protopapas
馃敆
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