Hao Wang

Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models.

[BibT_eX]

[DOI]

Hengyi Wang

Shiwei Tan

Fatemehsadat Mireshghallah

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Delving into Differentially Private Transformer.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Continuous Invariance Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Raidar: geneRative AI Detection viA Rewriting.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Variational Language Concepts for Interpreting Foundation Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Rethinking Privacy Risks from Wireless Surveillance Camera.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, August, 2023

Pre-trained Recommender Systems: A Causal Debiasing Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Continuous Invariance Learning.

[BibT_eX]

[DOI]

CoRR, 2023

LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud.

[BibT_eX]

[DOI]

Binyi Chen

Yulia Tsvetkov

CoRR, 2023

DPFormer: Learning Differentially Private Transformer on Long-Tailed Data.

[BibT_eX]

[DOI]

CoRR, 2023

Counterfactual Collaborative Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Trending Now: Modeling Trend Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing.

[BibT_eX]

[DOI]

Ziyan Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm.

[BibT_eX]

[DOI]

Haizhou Shi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting.

[BibT_eX]

[DOI]

Marcel Kollovieh

Abdul Fatir Ansari

Michael Bohlke-Schneider

Jasper Zschiegner

Yuyang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PreDiff: Precipitation Nowcasting with Latent Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Interpretable Time Series Prediction with Counterfactual Explanations.

[BibT_eX]

[DOI]

Jingquan Yan

Proceedings of the International Conference on Machine Learning, 2023

Robust Perception through Equivariance.

[BibT_eX]

[DOI]

Chengzhi Mao

Lingyu Zhang

Abhishek Vaibhav Joshi

Junfeng Yang

Carl Vondrick

Proceedings of the International Conference on Machine Learning, 2023

Taxonomy-Structured Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Landscape Learning for Neural Network Inversion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Identifying Regional Driving Risks via Transductive Cross-City Transfer Learning Under Negative Transfer.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

Visual Prompt Tuning for Test-time Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct).

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Mismatch Localization in Cross-Modal Sequential Data.

[BibT_eX]

[DOI]

CoRR, 2022

On Multi-Domain Long-Tailed Recognition, Generalization and Beyond.

[BibT_eX]

[DOI]

Yuzhe Yang

Dina Katabi

CoRR, 2022

Domain Adaptation with Factorizable Joint Shift.

[BibT_eX]

[DOI]

Hao He

Yuzhe Yang

CoRR, 2022

Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Domain Adaptation for Time Series Forecasting via Attention Sharing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Graph-Relational Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond.

[BibT_eX]

[DOI]

Yuzhe Yang

Dina Katabi

Proceedings of the Computer Vision - ECCV 2022, 2022

Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations.

[BibT_eX]

[DOI]

Song Wen

Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Interacting Dynamic Systems with Neural Ordinary Differential Equations.

[BibT_eX]

[DOI]

Song Wen

Dimitris N. Metaxas

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

Causal Transportability for Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bayesian Invariant Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Context Uncertainty in Contextual Bandits with Applications to Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Survey on Bayesian Deep Learning.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2021

Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework.

[BibT_eX]

[DOI]

CoRR, 2021

Zero-Shot Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Delving into Deep Imbalanced Regression.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

STRODE: Stochastic Boundary Ordinary Differential Equation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Correcting Exposure Bias for Link Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Adversarial Attacks are Reversible with Natural Supervision.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Interventions for Causal Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Authenticating On-Body IoT Devices: An Adversarial Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

BodyCompass: Monitoring Sleep Posture with Wireless Signals.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Learning Guided Electron Microscopy with Active Acquisition.

[BibT_eX]

[DOI]

Aravinthan D. T. Samuel

Nir Shavit

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Continuously Indexed Domain Adaptation.

[BibT_eX]

[DOI]

Hao He

Dina Katabi

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Graph Random Process for Relational-Thinking-Based Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Training-Free Uncertainty Estimation for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Motion Invariant Authentication for On-Body IoT Devices.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Rethinking Knowledge Graph Propagation for Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Recurrent Poisson Process Unit for Speech Recognition.

[BibT_eX]

[DOI]

Hengguan Huang

Brian Mak

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Extracting Multi-Person Respiration from Entangled RF Signals.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

2017

ZM-Net: Real-time Zero-shot Image Manipulation Network.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Relational Deep Learning: A Deep Latent Variable Model for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Towards Bayesian Deep Learning: A Framework and Some Existing Methods.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Towards Bayesian Deep Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2016

Natural-Parameter Networks: A Class of Probabilistic Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Relational Collaborative Topic Regression for Recommender Systems.

[BibT_eX]

[DOI]

Wu-Jun Li

IEEE Trans. Knowl. Data Eng., 2015

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Collaborative Deep Learning for Recommender Systems.

[BibT_eX]

[DOI]

Naiyan Wang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Relational Stacked Denoising Autoencoder for Tag Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Online Egocentric Models for Citation Networks.

[BibT_eX]

[DOI]

Wu-Jun Li

Proceedings of the IJCAI 2013, 2013

Collaborative Topic Regression with Social Regularization for Tag Recommendation.

[BibT_eX]

[DOI]