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02/28/2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
Semi-supervised learning aims to train a model using limited labels. Sta...
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02/21/2023
Diffusion Probabilistic Models for Graph-Structured Prediction
This paper studies graph-structured prediction for supervised learning o...
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12/13/2022
OAMixer: Object-aware Mixing Layer for Vision Transformers
Patch-based models, e.g., Vision Transformers (ViTs) and Mixers, have sh...
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12/05/2022
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
Trying to capture the sample-label relationship, conditional generative ...
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02/21/2022
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
In the deep learning era, long video generation of high-quality still re...
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07/30/2021
Object-aware Contrastive Learning for Debiased Scene Representation
Contrastive self-supervised learning has shown impressive results in lea...
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07/22/2021
Abstract Reasoning via Logic-guided Generation
Abstract reasoning, i.e., inferring complicated patterns from given obse...
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12/17/2020
MASKER: Masked Keyword Regularization for Reliable Text Classification
Pre-trained language models have achieved state-of-the-art accuracies on...
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10/15/2020
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning
Recent discoveries on neural network pruning reveal that, with a careful...
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07/16/2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Novelty detection, i.e., identifying whether a given sample is drawn fro...
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02/25/2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Generative adversarial networks (GANs) have shown outstanding performanc...
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02/25/2020
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs
Generative adversarial networks (GANs) have shown outstanding performanc...
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02/12/2020
Lookahead: A Far-Sighted Alternative of Magnitude-based Pruning
Magnitude-based pruning is one of the simplest methods for pruning neura...
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10/21/2019
Mining GOLD Samples for Conditional GANs
Conditional generative adversarial networks (cGANs) have gained a consid...
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12/28/2018
InstaGAN: Instance-aware Image-to-Image Translation
Unsupervised image-to-image translation has gained considerable attentio...
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03/03/2017
