Sat 7:00 a.m. - 7:10 a.m.
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Opening Remarks
(
Opening remarks for DistShift 2022
)
>
SlidesLive Video
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🔗
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Sat 7:10 a.m. - 7:35 a.m.
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Domain Adaptation: Theory, Algorithms, and Open Library
(
Invited Talk
)
>
SlidesLive Video
|
Mingsheng Long
🔗
|
Sat 7:35 a.m. - 8:00 a.m.
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Machine-learning, distribution shifts and extrapolation in the Earth System
(
Invited Talk
)
>
|
Markus Reichstein
🔗
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Sat 8:00 a.m. - 8:30 a.m.
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Coffee Break
(
Coffee Break
)
>
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🔗
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Sat 8:30 a.m. - 8:55 a.m.
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The promises and pitfalls of CVAR
(
Invited Talk
)
>
SlidesLive Video
|
Pradeep Ravikumar
🔗
|
Sat 9:00 a.m. - 9:45 a.m.
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Panel Discussion
(
In-person Panel Discussion
)
>
SlidesLive Video
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Behnam Neyshabur · David Sontag · Pradeep Ravikumar · Erin Hartman
🔗
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Sat 9:45 a.m. - 11:00 a.m.
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Lunch Break
(
Lunch Break
)
>
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🔗
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Sat 11:00 a.m. - 12:30 p.m.
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Poster Session
(
Poster Session
)
>
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🔗
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Sat 12:30 p.m. - 12:40 p.m.
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First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
(
Spotlight
)
>
link
SlidesLive Video
|
Kefan Dong · Tengyu Ma
🔗
|
Sat 12:40 p.m. - 12:50 p.m.
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Learning Invariant Representations under General Interventions on the Response
(
Spotlight
)
>
link
SlidesLive Video
|
Kang Du · Yu Xiang
🔗
|
Sat 12:50 p.m. - 1:00 p.m.
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CAREER: Economic Prediction of Labor Sequence Data Under Distribution Shift
(
Spotlight
)
>
link
SlidesLive Video
|
Keyon Vafa · Emil Palikot · Tianyu Du · Ayush Kanodia · Susan Athey · David Blei
🔗
|
Sat 1:00 p.m. - 1:10 p.m.
|
Tackling Distribution Shifts in Federated Learning with Superquantile Aggregation
(
Spotlight
)
>
link
SlidesLive Video
|
Krishna Pillutla · Yassine Laguel · Jérôme Malick · Zaid Harchaoui
🔗
|
Sat 1:10 p.m. - 1:20 p.m.
|
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
(
Spotlight
)
>
link
SlidesLive Video
|
Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski
🔗
|
Sat 1:20 p.m. - 1:30 p.m.
|
Data Feedback Loops: Model-driven Amplification of Dataset Biases
(
Spotlight
)
>
link
SlidesLive Video
|
Rohan Taori · Tatsunori Hashimoto
🔗
|
Sat 1:30 p.m. - 1:45 p.m.
|
Coffee Break
(
Coffee Break
)
>
|
🔗
|
Sat 1:45 p.m. - 2:10 p.m.
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External Validity: Framework, Design, and Analysis
(
Invited Talk
)
>
SlidesLive Video
|
Erin Hartman
🔗
|
Sat 2:10 p.m. - 2:35 p.m.
|
Bringing real-world data to bear in addressing distribution shifts: a sociolinguistically-informed analysis of ASR errors
(
Invited Talk
)
>
SlidesLive Video
|
Alicia Beckford Wassink
🔗
|
Sat 2:35 p.m. - 3:00 p.m.
|
Geospatial Distribution Shifts in Ecology: Mapping the Urban Forest
(
Invited Talk
)
>
SlidesLive Video
|
Sara Beery
🔗
|
Sat 2:58 p.m. - 3:00 p.m.
|
Closing Remarks
(
Closing remarks for DistShift 2022
)
>
|
🔗
|
-
|
Performative Prediction with Neural Networks
(
Poster
)
>
link
SlidesLive Video
|
Mehrnaz Mofakhami · Ioannis Mitliagkas · Gauthier Gidel
🔗
|
-
|
Improving Domain Generalization with Interpolation Robustness
(
Poster
)
>
link
SlidesLive Video
|
Ragja Palakkadavath · Thanh Nguyen-Tang · Sunil Gupta · Svetha Venkatesh
🔗
|
-
|
Deconstructing Distributions: A Pointwise Framework of Learning
(
Poster
)
>
link
SlidesLive Video
|
Gal Kaplun · Nikhil Ghosh · Saurabh Garg · Boaz Barak · Preetum Nakkiran
🔗
|
-
|
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
(
Poster
)
>
link
|
Amrith Setlur · Don Dennis · Benjamin Eysenbach · Aditi Raghunathan · Chelsea Finn · Virginia Smith · Sergey Levine
🔗
|
-
|
Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift
(
Poster
)
>
link
SlidesLive Video
|
Patrick Müller · Alexander Braun · Margret Keuper
🔗
|
-
|
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning
(
Poster
)
>
link
|
Paul Janson · Wenxuan Zhang · Rahaf Aljundi · Mohamed Elhoseiny
🔗
|
-
|
RLSBench: A Large-Scale Empirical Study of Domain Adaptation Under Relaxed Label Shift
(
Poster
)
>
link
|
Saurabh Garg · Nick Erickson · James Sharpnack · Alexander Smola · Sivaraman Balakrishnan · Zachary Lipton
🔗
|
-
|
Mitigating Dataset Bias by Using Per-sample Gradient
(
Poster
)
>
link
SlidesLive Video
|
Sumyeong Ahn · SeongYoon Kim · Se-Young Yun
🔗
|
-
|
Train Offline, Test Online: A Real Robot Learning Benchmark
(
Poster
)
>
link
SlidesLive Video
|
12 presenters
Gaoyue Zhou · Victoria Dean · Mohan Kumar Srirama · Aravind Rajeswaran · Jyothish Pari · Kyle Hatch · Aryan Jain · Tianhe Yu · Pieter Abbeel · Lerrel Pinto · Chelsea Finn · Abhinav Gupta
🔗
|
-
|
The Value of Out-of-distribution Data
(
Poster
)
>
link
|
Ashwin De Silva · Rahul Ramesh · Carey E Priebe · Pratik Chaudhari · Joshua T Vogelstein
🔗
|
-
|
Reliability benchmarks for image segmentation
(
Poster
)
>
link
|
Estefany Kelly Buchanan · Michael Dusenberry · Jie Ren · Kevin Murphy · Balaji Lakshminarayanan · Dustin Tran
🔗
|
-
|
Adaptive Pre-training of Language Models for Better Logical Reasoning
(
Poster
)
>
link
|
Soumya Sanyal · Yichong Xu · Shuohang Wang · Ziyi Yang · Reid Pryzant · Wenhao Yu · Chenguang Zhu · Xiang Ren
🔗
|
-
|
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems
(
Poster
)
>
link
SlidesLive Video
|
Parikshit Bansal · Yashoteja Prabhu · Emre Kiciman · Amit Sharma
🔗
|
-
|
Dropout Disagreement: A Recipe for Group Robustness with Fewer Annotations
(
Poster
)
>
link
|
Tyler LaBonte · Abhishek Kumar · Vidya Muthukumar
🔗
|
-
|
Domain Generalization for Robust Model-Based Offline Reinforcement Learning
(
Poster
)
>
link
SlidesLive Video
|
Alan Clark · Shoaib Siddiqui · Robert Kirk · Usman Anwar · Stephen Chung · David Krueger
🔗
|
-
|
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations
(
Poster
)
>
link
|
Huaxiu Yao · Xinyu Yang · Allan Zhou · Chelsea Finn
🔗
|
-
|
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning
(
Poster
)
>
link
SlidesLive Video
|
Donglin Zhan · Yusheng Dai · Yiwei Dong · Jinghai He · Zhenyi Wang · James Anderson
🔗
|
-
|
Scale-conditioned Adaptation for Large Scale Combinatorial Optimization
(
Poster
)
>
link
|
Minsu Kim · Jiwoo SON · Hyeonah Kim · Jinkyoo Park
🔗
|
-
|
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
(
Poster
)
>
link
|
Yoav Wald · Gal Yona · Uri Shalit · Yair Carmon
🔗
|
-
|
On the Abilities of Mathematical Extrapolation with Implicit Models
(
Poster
)
>
link
|
Juliette Decugis · Max Emerling · Ashwin Ganesh · Alicia Tsai · Laurent El Ghaoui
🔗
|
-
|
Estimation of prediction error with known covariate shift
(
Poster
)
>
link
SlidesLive Video
|
Hui Xu · Robert Tibshirani
🔗
|
-
|
A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
(
Poster
)
>
link
|
Defu Cao · Yousef El-Laham · Loc Trinh · Svitlana Vyetrenko · Yan Liu
🔗
|
-
|
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
(
Poster
)
>
link
|
Puja Trivedi · Danai Koutra · Jayaraman Thiagarajan
🔗
|
-
|
Task Modeling: Approximating Multitask Predictions for Cross-Task Transfer
(
Poster
)
>
link
|
Dongyue Li · Huy Nguyen · Hongyang Zhang
🔗
|
-
|
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation
(
Poster
)
>
link
|
Melrose Roderick · Felix Berkenkamp · Fatemeh Sheikholeslami · J. Zico Kolter
🔗
|
-
|
Graph-Relational Distributionally Robust Optimization
(
Poster
)
>
link
SlidesLive Video
|
Fengchun Qiao · Xi Peng
🔗
|
-
|
A Unified Framework for Comparing Learning Algorithms
(
Poster
)
>
link
|
Harshay Shah · Sung Min Park · Andrew Ilyas · Aleksander Madry
🔗
|
-
|
Domain Generalization with Nuclear Norm Regularization
(
Poster
)
>
link
|
Zhenmei Shi · Yifei Ming · Ying Fan · Frederic Sala · Yingyu Liang
🔗
|
-
|
Invariant Feature Subspace Recovery for Multi-Class Classification
(
Poster
)
>
link
SlidesLive Video
|
Gargi Balasubramaniam · Haoxiang Wang · Han Zhao
🔗
|
-
|
Out-of-Distribution Robustness via Targeted Augmentations
(
Poster
)
>
link
|
Irena Gao · Shiori Sagawa · Pang Wei Koh · Tatsunori Hashimoto · Percy Liang
🔗
|
-
|
Pushing the Accuracy-Fairness Tradeoff Frontier with Introspective Self-play
(
Poster
)
>
link
SlidesLive Video
|
Jeremiah Liu · Krishnamurthy Dvijotham · Jihyeon Lee · Quan Yuan · Martin Strobel · Balaji Lakshminarayanan · Deepak Ramachandran
🔗
|
-
|
Reducing Forgetting in Federated Learning with Truncated Cross-Entropy
(
Poster
)
>
link
|
Gwen Legate · Lucas Page-Caccia · Eugene Belilovsky
🔗
|
-
|
Learning to Extrapolate: A Transductive Approach
(
Poster
)
>
link
|
Aviv Netanyahu · Abhishek Gupta · Max Simchowitz · Kaiqing Zhang · Pulkit Agrawal
🔗
|
-
|
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
(
Poster
)
>
link
|
Yoonho Lee · Annie Chen · Fahim Tajwar · Ananya Kumar · Huaxiu Yao · Percy Liang · Chelsea Finn
🔗
|
-
|
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
(
Poster
)
>
link
SlidesLive Video
|
Catherine Glossop · Jacopo Panerati · Amrit Krishnan · Zhaocong Yuan · Angela Schoellig
🔗
|
-
|
Class-wise Domain Generalization: A Novel Framework for Evaluating Distributional Shift
(
Poster
)
>
link
SlidesLive Video
|
Sarath Sivaprasad · Akshay Goindani · Mario Fritz · Vineet Gandhi
🔗
|
-
|
Memory bounds for continual learning
(
Poster
)
>
link
|
Binghui Peng · Xi Chen · Christos Papadimitriou
🔗
|
-
|
Tailored Overlap for Learning Under Distribution Shift
(
Poster
)
>
link
|
David Bruns-Smith · Alexander D'Amour · Avi Feller · Steve Yadlowsky
🔗
|
-
|
Few-Shot Learnable Augmentation for Financial Time Series Prediction under Distribution Shifts
(
Poster
)
>
link
SlidesLive Video
|
Dat Huynh · Elizabeth Fons · Svitlana Vyetrenko
🔗
|
-
|
Mechanistic Lens on Mode Connectivity
(
Poster
)
>
link
|
Ekdeep S Lubana · Eric Bigelow · Robert Dick · David Krueger · Hidenori Tanaka
🔗
|
-
|
Is Unsupervised Performance Estimation Impossible When Both Covariates and Labels shift?
(
Poster
)
>
link
|
Lingjiao Chen · Matei Zaharia · James Zou
🔗
|
-
|
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
(
Poster
)
>
link
|
Kefan Dong · Tengyu Ma
🔗
|
-
|
DrML: Diagnosing and Rectifying Vision Models using Language
(
Poster
)
>
link
|
Yuhui Zhang · Jeff Z. HaoChen · Shih-Cheng Huang · Kuan-Chieh Wang · James Zou · Serena Yeung
🔗
|
-
|
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
(
Poster
)
>
link
|
Hiroki Naganuma · Kartik Ahuja · Ioannis Mitliagkas · Shiro Takagi · Tetsuya Motokawa · Rio Yokota · Kohta Ishikawa · Ikuro Sato
🔗
|
-
|
Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance
(
Poster
)
>
link
|
Xin Gu · Gautam Kamath · Steven Wu
🔗
|
-
|
Learning Invariant Representations under General Interventions on the Response
(
Poster
)
>
link
SlidesLive Video
|
Kang Du · Yu Xiang
🔗
|
-
|
Theory and Algorithm for Batch Distribution Drift Problems
(
Poster
)
>
link
SlidesLive Video
|
Pranjal Awasthi · Corinna Cortes · Christopher Mohri
🔗
|
-
|
Enabling the Visualization of Distributional Shift using Shapley Values
(
Poster
)
>
link
|
Bin Li · Chiara Balestra · Emmanuel Müller
🔗
|
-
|
Frequency Shortcut Learning in Neural Networks
(
Poster
)
>
link
SlidesLive Video
|
Shunxin Wang · Raymond Veldhuis · Christoph Brune · Nicola Strisciuglio
🔗
|
-
|
Preserving privacy with PATE for heterogeneous data
(
Poster
)
>
link
SlidesLive Video
|
Akshay Dodwadmath · Sebastian Stich
🔗
|
-
|
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets
(
Poster
)
>
link
|
JONAS NGNAWE · Marianne ABEMGNIGNI NJIFON · Jonathan Heek · Yann Dauphin
🔗
|
-
|
Visual response inhibition for increased robustness of convolutional networks to distribution shifts
(
Poster
)
>
link
|
Nicola Strisciuglio · George Azzopardi
🔗
|
-
|
AdaME: Adaptive learning of multisource adaptationensembles
(
Poster
)
>
link
SlidesLive Video
|
Scott Yak · Javier Gonzalvo · Mehryar Mohri · Corinna Cortes
🔗
|
-
|
Transferability Between Regression Tasks
(
Poster
)
>
link
SlidesLive Video
|
Cuong Ngoc Nguyen · Phong Tran The · Lam Ho · Vu Dinh · Anh Tran · Tal Hassner · Cuong V. Nguyen
🔗
|
-
|
CAREER: Economic Prediction of Labor Sequence Data Under Distribution Shift
(
Poster
)
>
link
|
Keyon Vafa · Emil Palikot · Tianyu Du · Ayush Kanodia · Susan Athey · David Blei
🔗
|
-
|
Out-of-Distribution Generalization Challenge in Dialog State Tracking
(
Poster
)
>
link
SlidesLive Video
|
Jiasheng Ye · Yawen Ouyang · Zhen Wu · Xinyu Dai
🔗
|
-
|
Diversity Boosted Learning for Domain Generalization with A Large Number of Domains
(
Poster
)
>
link
SlidesLive Video
|
XI LENG · Yatao Bian · Xiaoying Tang
🔗
|
-
|
Learning with noisy labels using low-dimensional model trajectory
(
Poster
)
>
link
|
Vasu Singla · Shuchin Aeron · Toshiaki Koike-Akino · Kieran Parsons · Matthew Brand · Ye Wang
🔗
|
-
|
Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization Performance
(
Poster
)
>
link
|
Aengus Lynch · Jean Kaddour · Ricardo Silva
🔗
|
-
|
Strategy-Aware Contextual Bandits
(
Poster
)
>
link
|
Keegan Harris · Chara Podimata · Steven Wu
🔗
|
-
|
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks
(
Poster
)
>
link
SlidesLive Video
|
Sravanti Addepalli · Anshul Nasery · Venkatesh Babu R · Praneeth Netrapalli · Prateek Jain
🔗
|
-
|
Useful Confidence Measures: Beyond the Max Score
(
Poster
)
>
link
|
Gal Yona · Amir Feder · Itay Laish
🔗
|
-
|
Federated Learning under Distributed Concept Drift
(
Poster
)
>
link
SlidesLive Video
|
Ellango Jothimurugesan · Kevin Hsieh · Jianyu Wang · Gauri Joshi · Phillip Gibbons
🔗
|
-
|
An Invariant Learning Characterization of Controlled Text Generation
(
Poster
)
>
link
|
Claudia Shi · Carolina Zheng · Keyon Vafa · Amir Feder · David Blei
🔗
|
-
|
Tackling Distribution Shifts in Federated Learning with Superquantile Aggregation
(
Poster
)
>
link
SlidesLive Video
|
Krishna Pillutla · Yassine Laguel · Jérôme Malick · Zaid Harchaoui
🔗
|
-
|
Few Shot Generative Domain Adaptation Via Inference-Stage Latent Learning in GANs
(
Poster
)
>
link
SlidesLive Video
|
Arnab Kumar Mondal · Piyush Tiwary · Parag Singla · Prathosh AP
🔗
|
-
|
Relational Out-of-Distribution Generalization
(
Poster
)
>
link
|
Xinyu Yang · Xinyi Pan · Shengchao Liu · Huaxiu Yao
🔗
|
-
|
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
(
Poster
)
>
link
SlidesLive Video
|
Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski
🔗
|
-
|
Test-time adaptation with slot-centric models
(
Poster
)
>
link
SlidesLive Video
|
Mihir Prabhudesai · Sujoy Paul · Sjoerd van Steenkiste · Mehdi S. M. Sajjadi · Anirudh Goyal · Deepak Pathak · Katerina Fragkiadaki · Gaurav Aggarwal · Thomas Kipf
🔗
|
-
|
Diversity through Disagreement for Better Transferability
(
Poster
)
>
link
SlidesLive Video
|
Matteo Pagliardini · Martin Jaggi · François Fleuret · Sai Praneeth Karimireddy
🔗
|
-
|
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
(
Poster
)
>
link
SlidesLive Video
|
Stefan Smeu · Elena Burceanu · Andrei L Nicolicioiu · Emanuela Haller
🔗
|
-
|
Toward domain generalized pruning by scoring out-of-distribution importance
(
Poster
)
>
link
SlidesLive Video
|
RIZHAO CAI · Haoliang Li · Alex Kot
🔗
|
-
|
Active Learning Over Multiple Domains in Natural Language Tasks
(
Poster
)
>
link
SlidesLive Video
|
Shayne Longpre · Julia Reisler · Edward Huang · Yi Lu · Andrew Frank · Nikhil Ramesh · Chris DuBois
🔗
|
-
|
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift
(
Poster
)
>
link
SlidesLive Video
|
Luca Masserano · Syama Sundar Rangapuram · Shubham Kapoor · Rajbir Nirwan · Youngsuk Park · Michael Bohlke-Schneider
🔗
|
-
|
A Learning Based Hypothesis Test for Harmful Covariate Shift
(
Poster
)
>
link
SlidesLive Video
|
Tom Ginsberg · Zhongyuan Liang · Rahul Krishnan
🔗
|
-
|
Engineering Uncertainty Representations to Monitor Distribution Shifts
(
Poster
)
>
link
SlidesLive Video
|
Thomas Bonnier · Benjamin Bosch
🔗
|
-
|
Data Feedback Loops: Model-driven Amplification of Dataset Biases
(
Poster
)
>
link
|
Rohan Taori · Tatsunori Hashimoto
🔗
|
-
|
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
(
Poster
)
>
link
|
Haoran Zhang · Harvineet Singh · Marzyeh Ghassemi · Shalmali Joshi
🔗
|
-
|
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods
(
Poster
)
>
link
SlidesLive Video
|
Tiago Salvador · Kilian FATRAS · Ioannis Mitliagkas · Adam Oberman
🔗
|
-
|
Sparse Mixture-of-Experts are Domain Generalizable Learners
(
Poster
)
>
link
SlidesLive Video
|
Bo Li · Yifei Shen · Jingkang Yang · Yezhen Wang · Jiawei Ren · Tong Che · Jun Zhang · Ziwei Liu
🔗
|
-
|
Deep Class-Conditional Gaussians for Continual Learning
(
Poster
)
>
link
|
Thomas Lee · Amos Storkey
🔗
|
-
|
A Closer Look at Novel Class Discovery from the Labeled Set
(
Poster
)
>
link
SlidesLive Video
|
ZIYUN LI · Jona Otholt · Ben Dai · Di Hu · Christoph Meinel · Haojin Yang
🔗
|
-
|
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?
(
Poster
)
>
link
SlidesLive Video
|
Théo Morales · Gerard Lacey
🔗
|
-
|
Instance norm improves meta-learning in class-imbalanced land cover classification
(
Poster
)
>
link
SlidesLive Video
|
Marc Russwurm · Devis Tuia
🔗
|
-
|
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
(
Poster
)
>
link
SlidesLive Video
|
Sumyeong Ahn · Jongwoo Ko · Se-Young Yun
🔗
|
-
|
Benchmarking Robustness under Distribution Shift of Multimodal Image-Text Models
(
Poster
)
>
link
SlidesLive Video
|
Jielin Qiu · Yi Zhu · Xingjian Shi · Zhiqiang Tang · DING ZHAO · Bo Li · Mu Li
🔗
|
-
|
Sorted eigenvalue comparison $d_{\mathsf{Eig}}$: A simple alternative to $d_{\mathsf{FID}}$
(
Poster
)
>
link
SlidesLive Video
|
Jiqing Wu · Viktor H Koelzer
🔗
|
-
|
HICO-DET-SG and V-COCO-SG: New Data Splits to Evaluate Systematic Generalization in Human-Object Interaction Detection
(
Poster
)
>
link
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Kentaro Takemoto · Moyuru Yamada · Tomotake Sasaki · Hisanao Akima
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Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
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Poster
)
>
link
SlidesLive Video
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Niladri S. Chatterji · Saminul Haque · Tatsunori Hashimoto
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Cross-Dataset Propensity Estimation for Debiasing Recommender Systems
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Poster
)
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link
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Fengyu Li · Sarah Dean
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Multiple Modes for Continual Learning
(
Poster
)
>
link
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Siddhartha Datta · Nigel Shadbolt
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An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation
(
Poster
)
>
link
SlidesLive Video
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Ziquan Liu · Yi Xu · Yuanhong Xu · Qi Qian · Hao Li · Rong Jin · Xiangyang Ji · Antoni Chan
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Characterizing Anomalies with Explainable Classifiers
(
Poster
)
>
link
SlidesLive Video
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Naveen Durvasula · Valentine d Hauteville · Keegan Hines · John Dickerson
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Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning
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Poster
)
>
link
SlidesLive Video
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Zafir Stojanovski · Karsten Roth · Zeynep Akata
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Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
(
Poster
)
>
link
SlidesLive Video
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Carlos Mougan · Klaus Broelemann · Gjergji Kasneci · Thanassis Tiropanis · Steffen Staab
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Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation
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Poster
)
>
link
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Viraj Prabhu · Shivam Khare · Deeksha Kartik · Judy Hoffman
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