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07/19/2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Earth system forecasting has traditionally relied on complex physical mo...
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05/21/2023
Automated Few-shot Classification with Instruction-Finetuned Language Models
A particularly successful class of approaches for few-shot learning comb...
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05/16/2023
Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation
It has been commonly observed that a teacher model with superior perform...
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05/10/2023
XTab: Cross-table Pretraining for Tabular Transformers
The success of self-supervised learning in computer vision and natural l...
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02/16/2023
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation
Layout-to-image generation refers to the task of synthesizing photo-real...
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01/04/2023
Parameter-Efficient Fine-Tuning Design Spaces
Parameter-efficient fine-tuning aims to achieve performance comparable t...
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12/29/2022
Learning Multimodal Data Augmentation in Feature Space
The ability to jointly learn from multiple modalities, such as text, aud...
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12/21/2022
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning
Pre-trained large language models can efficiently interpolate human-writ...
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12/15/2022
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
Transformer-based models have gained large popularity and demonstrated p...
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12/15/2022
Are Multimodal Models Robust to Image and Text Perturbations?
Multimodal image-text models have shown remarkable performance in the pa...
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11/04/2022
A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data
The substitute-based recommendation is widely used in E-commerce to prov...
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10/10/2022
Visual Prompt Tuning for Test-time Domain Adaptation
Models should have the ability to adapt to unseen data during test-time ...
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07/12/2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Conventionally, Earth system (e.g., weather and climate) forecasting rel...
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07/04/2022
Removing Batch Normalization Boosts Adversarial Training
Adversarial training (AT) defends deep neural networks against adversari...
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04/13/2022
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar
We introduce NSEdit (neural-symbolic edit), a novel Transformer-based co...
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11/04/2021
Benchmarking Multimodal AutoML for Tabular Data with Text Fields
We consider the use of automated supervised learning systems for data ta...
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09/23/2021
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing
We aim to identify how different components in the KD pipeline affect th...
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07/09/2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
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05/27/2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
We propose a new STAcked and Reconstructed Graph Convolutional Networks ...
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08/21/2018
Machine Learning for Spatiotemporal Sequence Forecasting: A Survey
Spatiotemporal systems are common in the real-world. Forecasting the mul...
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03/20/2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
We propose a new network architecture, Gated Attention Networks (GaAN), ...
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07/25/2017
Spatiotemporal Modeling for Crowd Counting in Videos
Region of Interest (ROI) crowd counting can be formulated as a regressio...
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06/12/2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
With the goal of making high-resolution forecasts of regional rainfall, ...
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11/24/2016
Dynamic Key-Value Memory Networks for Knowledge Tracing
Knowledge Tracing (KT) is a task of tracing evolving knowledge state of ...
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11/02/2016
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Hybrid methods that utilize both content and rating information are comm...
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11/02/2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Neural networks (NN) have achieved state-of-the-art performance in vario...
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06/13/2015
