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06/01/2023
StyleDrop: Text-to-Image Generation in Any Style
Pre-trained large text-to-image models synthesize impressive images with...
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06/01/2023
Learning Disentangled Prompts for Compositional Image Synthesis
We study domain-adaptive image synthesis, the problem of teaching pretra...
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02/07/2023
Auditing Gender Presentation Differences in Text-to-Image Models
Text-to-image models, which can generate high-quality images based on te...
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01/01/2023
A Multi-Source Information Learning Framework for Airbnb Price Prediction
With the development of technology and sharing economy, Airbnb as a famo...
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01/01/2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
In this paper, we study the problem of MOOC quality evaluation which is ...
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10/03/2022
Visual Prompt Tuning for Generative Transfer Learning
Transferring knowledge from an image synthesis model trained on a large ...
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09/19/2022
Design and implementation of a scalable authentic-research education program for Artificial Intelligence and Science
We report a program designed to bring authentic research experience to m...
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09/09/2022
Improved Masked Image Generation with Token-Critic
Non-autoregressive generative transformers recently demonstrated impress...
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02/08/2022
MaskGIT: Masked Generative Image Transformer
Generative transformers have experienced rapid popularity growth in the ...
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12/09/2021
BLT: Bidirectional Layout Transformer for Controllable Layout Generation
Creating visual layouts is an important step in graphic design. Automati...
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11/30/2021
Pyramid Adversarial Training Improves ViT Performance
Aggressive data augmentation is a key component of the strong generaliza...
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11/20/2021
Discrete Representations Strengthen Vision Transformer Robustness
Vision Transformer (ViT) is emerging as the state-of-the-art architectur...
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07/09/2021
ViTGAN: Training GANs with Vision Transformers
Recently, Vision Transformers (ViTs) have shown competitive performance ...
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06/08/2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Self-supervised pre-training of text representations has been successful...
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04/30/2021
Faster Meta Update Strategy for Noise-Robust Deep Learning
It has been shown that deep neural networks are prone to overfitting on ...
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09/19/2020
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent
Feature selection aims to select a subset of features to optimize the pe...
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08/11/2020
Text as Neural Operator: Image Manipulation by Text Instruction
In this paper, we study a new task that allows users to edit an input im...
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06/21/2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
In this paper, we propose a new adversarial augmentation method for Neur...
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12/25/2019
Controllable and Progressive Image Extrapolation
Image extrapolation aims at expanding the narrow field of view of a give...
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12/19/2019
Neural Design Network: Graphic Layout Generation with Constraints
Graphic design is essential for visual communication with layouts being ...
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12/13/2019
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
This paper studies the problem of predicting the distribution over multi...
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11/21/2019
Synthetic vs Real: Deep Learning on Controlled Noise
Performing controlled experiments on noisy data is essential in thorough...
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10/31/2019
Confident Learning: Estimating Uncertainty in Dataset Labels
Learning exists in the context of data, yet notions of confidence typica...
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08/12/2019
Feature Partitioning for Efficient Multi-Task Architectures
Multi-task learning holds the promise of less data, parameters, and time...
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06/06/2019
Robust Neural Machine Translation with Doubly Adversarial Inputs
Neural machine translation (NMT) often suffers from the vulnerability to...
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06/04/2019
State-aware Re-identification Feature for Multi-target Multi-camera Tracking
Multi-target Multi-camera Tracking (MTMCT) aims to extract the trajector...
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04/08/2019
Revisiting EmbodiedQA: A Simple Baseline and Beyond
In Embodied Question Answering (EmbodiedQA), an agent interacts with an ...
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03/02/2019
Let's Transfer Transformations of Shared Semantic Representations
With a good image understanding capability, can we manipulate the images...
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02/11/2019
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Deciphering human behaviors to predict their future paths/trajectories a...
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01/04/2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) makes predictions for the target do...
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12/18/2018
Composing Text and Image for Image Retrieval - An Empirical Odyssey
In this paper, we study the task of image retrieval, where the input que...
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06/05/2018
Focal Visual-Text Attention for Visual Question Answering
Recent insights on language and vision with neural networks have been su...
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04/11/2018
Decoupled Novel Object Captioner
Image captioning is a challenging task where the machine automatically d...
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12/14/2017
MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels
Recent studies have discovered that deep networks are capable of memoriz...
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11/30/2017
Graph Distillation for Action Detection with Privileged Information
In this work, we propose a technique that tackles the video understandin...
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08/04/2017
MemexQA: Visual Memex Question Answering
This paper proposes a new task, MemexQA: given a collection of photos or...
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07/05/2017
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification
We report on CMU Informedia Lab's system used in Google's YouTube 8 Mill...
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08/12/2016
Self-paced Learning for Weakly Supervised Evidence Discovery in Multimedia Event Search
Multimedia event detection has been receiving increasing attention in re...
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06/17/2016
