2024
PaliGemma 2: A Family of Versatile VLMs for Transfer.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
PaliGemma: A versatile 3B VLM for transfer.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Fractal Patterns May Unravel the Intelligence in Next-Token Prediction.
CoRR, 2024
LocCa: Visual Pretraining with Location-aware Captioners.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Fractal Patterns May Illuminate the Success of Next-Token Prediction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Proceedings of the Twelfth International Conference on Learning Representations, 2024
On Scaling Up a Multilingual Vision and Language Model.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
PaLI-3 Vision Language Models: Smaller, Faster, Stronger.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
PaLI-X: On Scaling up a Multilingual Vision and Language Model.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Scaling Vision Transformers to 22 Billion Parameters.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the International Conference on Machine Learning, 2023
FlexiViT: One Model for All Patch Sizes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Layer-Stack Temperature Scaling.
CoRR, 2022
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2022
Fair Wrapping for Black-box Predictions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Reduction to Binary Approach for Debiasing Multiclass Datasets.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Revisiting Neural Scaling Laws in Language and Vision.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
The Impact of Reinitialization on Generalization in Convolutional Neural Networks.
CoRR, 2021
A Generalized Lottery Ticket Hypothesis.
CoRR, 2021
A Generalization of Classical Formulas in Numerical Integration and Series Convergence Acceleration.
CoRR, 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Towards a Unified Theory of Learning and Information.
Entropy, 2020
Fair Classification via Unconstrained Optimization.
CoRR, 2020
What Do Neural Networks Learn When Trained With Random Labels?
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2018
Axiomatic Characterization of AdaBoost and the Multiplicative Weight Update Procedure.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Learning via Query Synthesis.
PhD thesis, 2017
An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Large margin classification with indefinite similarities.
Mach. Learn., 2016
Uniform Generalization, Concentration, and Adaptive Learning.
CoRR, 2016
Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Algorithmic Stability and Uniform Generalization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Efficient Active Learning of Halfspaces via Query Synthesis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
A Mathematical Theory of Learning.
CoRR, 2014
End-to-end delay analysis in wireless sensor networks with service vacation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014
Interference in wireless ad hoc networks with smart antennas.
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2014
Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Support vector machines with indefinite kernels.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014