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07/16/2023
Tangent Transformers for Composition, Privacy and Removal
We introduce Tangent Attention Fine-Tuning (TAFT), a method for fine-tun...
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07/16/2023
Tangent Model Composition for Ensembling and Continual Fine-tuning
Tangent Model Composition (TMC) is a method to combine component models ...
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05/29/2023
Taming AI Bots: Controllability of Neural States in Large Language Models
We tackle the question of whether an agent can, by suitable choice of pr...
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03/25/2023
Train/Test-Time Adaptation with Retrieval
We introduce Train/Test-Time Adaptation with Retrieval (T^3AR), a method...
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11/23/2022
Integral Continual Learning Along the Tangent Vector Field of Tasks
We propose a continual learning method which incorporates information fr...
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10/18/2022
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Data poisoning causes misclassification of test time target examples by ...
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10/15/2022
Data-Efficient Augmentation for Training Neural Networks
Data augmentation is essential to achieve state-of-the-art performance i...
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08/14/2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks
A powerful category of data poisoning attacks modify a subset of trainin...
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03/30/2022
Monitored Distillation for Positive Congruent Depth Completion
We propose a method to infer a dense depth map from a single image, its ...
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12/12/2021
Stereoscopic Universal Perturbations across Different Architectures and Datasets
We study the effect of adversarial perturbations of images on deep stere...
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08/08/2021
Triplet Contrastive Learning for Brain Tumor Classification
Brain tumor is a common and fatal form of cancer which affects both adul...
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02/09/2012