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09/08/2023
Unsupervised Object Localization with Representer Point Selection
We propose a novel unsupervised object localization method that allows u...
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05/31/2023
Improving CLIP Training with Language Rewrites
Contrastive Language-Image Pre-training (CLIP) stands as one of the most...
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05/23/2023
Reparo: Loss-Resilient Generative Codec for Video Conferencing
Loss of packets in video conferencing often results in poor quality and ...
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02/23/2023
Change is Hard: A Closer Look at Subpopulation Shift
Machine learning models often perform poorly on subgroups that are under...
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11/16/2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Generative modeling and representation learning are two key tasks in com...
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03/17/2022
On Multi-Domain Long-Tailed Recognition, Generalization and Beyond
Real-world data often exhibit imbalanced label distributions. Existing s...
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02/22/2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Indiscriminate data poisoning attacks are quite effective against superv...
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12/04/2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains
The ability to generalize learned representations across significantly d...
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02/18/2021
Delving into Deep Imbalanced Regression
Real-world data often exhibit imbalanced distributions, where certain ta...
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08/25/2020
In-Home Daily-Life Captioning Using Radio Signals
This paper aims to caption daily life –i.e., to create a textual descrip...
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07/03/2020
Continuously Indexed Domain Adaptation
Existing domain adaptation focuses on transferring knowledge between dom...
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04/02/2020
Learning Longterm Representations for Person Re-Identification Using Radio Signals
Person Re-Identification (ReID) aims to recognize a person-of-interest a...
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10/18/2019
Learning Compositional Koopman Operators for Model-Based Control
Finding an embedding space for a linear approximation of a nonlinear dyn...
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09/26/2019
Harnessing Structures for Value-Based Planning and Reinforcement Learning
Value-based methods constitute a fundamental methodology in planning and...
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09/20/2019
Making the Invisible Visible: Action Recognition Through Walls and Occlusions
Understanding people's actions and interactions typically depends on see...
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05/28/2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Deep neural networks are vulnerable to adversarial attacks. The literatu...
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02/06/2019
