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08/24/2023
Towards Realistic Unsupervised Fine-tuning with CLIP
The emergence of vision-language models (VLMs), such as CLIP, has spurre...
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07/14/2023
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts
With the growing interest in pretrained vision-language models like CLIP...
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03/17/2023
Exploiting Semantic Attributes for Transductive Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize unseen classes by generalizin...
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07/20/2022
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
In this paper, we present NUWA-Infinity, a generative model for infinite...
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06/01/2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Recently most successful image synthesis models are multi stage process ...
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11/24/2021
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion
This paper presents a unified multimodal pre-trained model called NÜWA t...
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08/19/2021
Fair and Consistent Federated Learning
Federated learning (FL) has gain growing interests for its capability of...
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08/18/2021
Learning to Collaborate
In this paper, we focus on effective learning over a collaborative resea...
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06/10/2020
Why is Attention Not So Attentive?
Attention-based methods have played an important role in model interpret...
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05/27/2020
General-Purpose User Embeddings based on Mobile App Usage
In this paper, we report our recent practice at Tencent for user modelin...
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03/30/2020
PANDA: Prototypical Unsupervised Domain Adaptation
Previous adversarial domain alignment methods for unsupervised domain ad...
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02/28/2017
