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09/14/2023
Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models
Text-to-image diffusion models understand spatial relationship between o...
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09/13/2023
Generalizable Neural Fields as Partially Observed Neural Processes
Neural fields, which represent signals as a function parameterized by a ...
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06/15/2023
LOVM: Language-Only Vision Model Selection
Pre-trained multi-modal vision-language models (VLMs) are becoming incre...
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02/08/2023
Diagnosing and Rectifying Vision Models using Language
Recent multi-modal contrastive learning models have demonstrated the abi...
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12/28/2022
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action
The task of reconstructing 3D human motion has wideranging applications....
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12/02/2022
PROB: Probabilistic Objectness for Open World Object Detection
Open World Object Detection (OWOD) is a new and challenging computer vis...
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06/21/2022
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery
The ability to perceive 3D human bodies from a single image has a multit...
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01/27/2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Large pretrained language models (LMs) like BERT have improved performan...
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01/26/2022
Variational Model Inversion Attacks
Given the ubiquity of deep neural networks, it is important that these m...
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12/29/2021
Disentanglement and Generalization Under Correlation Shifts
Correlations between factors of variation are prevalent in real-world da...
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12/10/2020
Flexible Few-Shot Learning with Contextual Similarity
Existing approaches to few-shot learning deal with tasks that have persi...
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06/16/2020
Understanding and mitigating exploding inverses in invertible neural networks
Invertible neural networks (INNs) have been used to design generative mo...
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02/13/2020
Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling
We present a new method for evaluating and training unnormalized density...
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12/06/2019
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
We propose to reinterpret a standard discriminative classifier of p(y|x)...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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02/06/2019
Centroid-based deep metric learning for speaker recognition
Speaker embedding models that utilize neural networks to map utterances ...
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06/27/2018
Adversarial Distillation of Bayesian Neural Network Posteriors
Bayesian neural networks (BNNs) allow us to reason about uncertainty in ...
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02/13/2018
Neural Relational Inference for Interacting Systems
Interacting systems are prevalent in nature, from dynamical systems in p...
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06/19/2017