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06/26/2023
Restart Sampling for Improving Generative Processes
Generative processes that involve solving differential equations, such a...
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06/01/2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
We investigate the potential of learning visual representations using sy...
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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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02/08/2023
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
We introduce a new family of physics-inspired generative models termed P...
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10/20/2022
Does Decentralized Learning with Non-IID Unlabeled Data Benefit from Self Supervision?
Decentralized learning has been advocated and widely deployed to make ef...
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03/22/2022
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
Inspired by the success of self-supervised autoregressive representation...
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06/23/2021
Co-advise: Cross Inductive Bias Distillation
Transformers recently are adapted from the community of natural language...
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06/21/2021
Simple Distillation Baselines for Improving Small Self-supervised Models
While large self-supervised models have rivalled the performance of thei...
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06/09/2021
Generative Models as a Data Source for Multiview Representation Learning
Generative models are now capable of producing highly realistic images t...
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05/17/2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Self-supervised learning holds promise in leveraging large amounts of un...
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04/01/2021
Composable Augmentation Encoding for Video Representation Learning
We focus on contrastive methods for self-supervised video representation...
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05/20/2020
What makes for good views for contrastive learning
Contrastive learning between multiple views of the data has recently ach...
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03/25/2020
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
The focus of recent meta-learning research has been on the development o...
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10/23/2019
Contrastive Representation Distillation
Often we wish to transfer representational knowledge from one neural net...
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06/13/2019
Contrastive Multiview Coding
Humans view the world through many sensory channels, e.g., the long-wave...
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01/09/2019
Learning to Infer and Execute 3D Shape Programs
Human perception of 3D shapes goes beyond reconstructing them as a set o...
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06/09/2018
Representation Learning on Graphs with Jumping Knowledge Networks
Recent deep learning approaches for representation learning on graphs fo...
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12/17/2014
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
In this paper, we propose deformable deep convolutional neural networks ...
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11/29/2014
Pedestrian Detection aided by Deep Learning Semantic Tasks
Deep learning methods have achieved great success in pedestrian detectio...
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09/11/2014