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09/20/2023
You Only Look at Screens: Multimodal Chain-of-Action Agents
Autonomous user interface (UI) agents aim to facilitate task automation ...
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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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05/07/2023
Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens
Transformer models are foundational to natural language processing (NLP)...
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04/10/2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
Diffusion models that are based on iterative denoising have been recentl...
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04/10/2023
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
This work proposes POMP, a prompt pre-training method for vision-languag...
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02/08/2023
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
Spurred by advancements in scale, large language models (LLMs) have demo...
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02/02/2023
Multimodal Chain-of-Thought Reasoning in Language Models
Large language models (LLMs) have shown impressive performance on comple...
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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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12/10/2022
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing
The mixture of Expert (MoE) parallelism is a recent advancement that sca...
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10/12/2022
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
Deep neural networks (DNNs) are vulnerable to backdoor attacks. Previous...
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10/07/2022
Automatic Chain of Thought Prompting in Large Language Models
Large language models (LLMs) can perform complex reasoning by generating...
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07/04/2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
Existing out-of-distribution (OOD) detection methods are typically bench...
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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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06/16/2022
MixGen: A New Multi-Modal Data Augmentation
Data augmentation is a necessity to enhance data efficiency in deep lear...
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10/08/2021
Lightweight Convolutional Neural Networks By Hypercomplex Parameterization
Hypercomplex neural networks have proved to reduce the overall number of...
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06/21/2021
Dive into Deep Learning
This open-source book represents our attempt to make deep learning appro...
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02/23/2021
Controllable and Diverse Text Generation in E-commerce
In E-commerce, a key challenge in text generation is to find a good trad...
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02/17/2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters
Recent works have demonstrated reasonable success of representation lear...
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02/12/2021
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
With graphs rapidly growing in size and deeper graph neural networks (GN...
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11/11/2020
Learning User Representations with Hypercuboids for Recommender Systems
Modeling user interests is crucial in real-world recommender systems. In...
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10/31/2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis
This paper reviews the novel concept of controllable variational autoenc...
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10/06/2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder
This paper demonstrates a fatal vulnerability in natural language infere...
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06/05/2020
CoCon: A Self-Supervised Approach for Controlled Text Generation
Pretrained Transformer-based language models (LMs) display remarkable na...
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04/13/2020
paper2repo: GitHub Repository Recommendation for Academic Papers
GitHub has become a popular social application platform, where a large n...
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04/13/2020
Controllable Variational Autoencoder
Variational Autoencoders (VAE) and their variants have been widely used ...
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02/14/2020
Transformer on a Diet
Transformer has been widely used thanks to its ability to capture sequen...
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08/18/2019
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings
Traditionally, many text-mining tasks treat individual word-tokens as 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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06/11/2019
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Many state-of-the-art neural models for NLP are heavily parameterized an...
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06/06/2019
Quaternion Collaborative Filtering for Recommendation
This paper proposes Quaternion Collaborative Filtering (QCF), a novel re...
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05/26/2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
This paper tackles the problem of reading comprehension over long narrat...
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03/09/2018
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings
Expert finding is an important task in both industry and academia. It is...
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06/05/2017
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
Recent advances in deep learning motivate the use of deep neutral networ...
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11/07/2016
