Chen-Yu Lee | DeepAI

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Liwei Wang
155 publications
Kate Saenko
150 publications
Xiang Zhang
122 publications
Han Zhang
115 publications
Yun Fu
97 publications
Zhuowen Tu
55 publications
Tomas Pfister
48 publications
Madeleine Udell
47 publications
Chun-Liang Li
46 publications
Kihyuk Sohn
40 publications
Yi-Hsuan Tsai
38 publications

∙ 08/01/2023

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Today, large language models (LLMs) are taught to use new tools by provi...

0 Cheng-Yu Hsieh, et al. ∙

∙ 05/03/2023

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Deploying large language models (LLMs) is challenging because they are m...

0 Cheng-Yu Hsieh, et al. ∙

∙ 03/06/2023

Multimodal Prompting with Missing Modalities for Visual Recognition

In this paper, we tackle two challenges in multimodal learning for visua...

0 Yi-Lun Lee, et al. ∙

∙ 02/06/2023

Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval

In Composed Image Retrieval (CIR), a user combines a query image with te...

0 Kuniaki Saito, et al. ∙

∙ 06/02/2022

Prefix Conditioning Unifies Language and Label Supervision

Vision-language contrastive learning suggests a new learning paradigm by...

0 Kuniaki Saito, et al. ∙

∙ 03/16/2022

FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction

Sequence modeling has demonstrated state-of-the-art performance on natur...

0 Chen-Yu Lee, et al. ∙

∙ 01/10/2022

Towards Group Robustness in the presence of Partial Group Labels

Learning invariant representations is an important requirement when trai...

0 Vishnu Suresh Lokhande, et al. ∙

∙ 12/21/2021

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types

We introduce anomaly clustering, whose goal is to group data into semant...

22 Kihyuk Sohn, et al. ∙

∙ 06/21/2021

ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction

Natural reading orders of words are crucial for information extraction f...

0 Chen-Yu Lee, et al. ∙

∙ 06/11/2021

Self-Trained One-class Classification for Unsupervised Anomaly Detection

Anomaly detection (AD), separating anomalies from normal data, has vario...

0 Jinsung Yoon, et al. ∙

∙ 01/11/2021

Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts

Learning visual knowledge from massive weakly-labeled web videos has att...

6 Kunpeng Li, et al. ∙

∙ 06/02/2020

Learning to Branch for Multi-Task Learning

Training multiple tasks jointly in one deep network yields reduced laten...

0 Pengsheng Guo, et al. ∙

∙ 05/10/2020

A Simple Semi-Supervised Learning Framework for Object Detection

Semi-supervised learning (SSL) has promising potential for improving the...

3 Kihyuk Sohn, et al. ∙

∙ 03/10/2019

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

In this work, we connect two distinct concepts for unsupervised domain a...

0 Chen-Yu Lee, et al. ∙

∙ 11/07/2017

GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Deep multitask networks, in which one neural network produces multiple p...

0 Zhao Chen, et al. ∙

∙ 03/18/2017

RoomNet: End-to-End Room Layout Estimation

This paper focuses on the task of room layout estimation from a monocula...

0 Chen-Yu Lee, et al. ∙

∙ 03/09/2016

Recursive Recurrent Nets with Attention Modeling for OCR in the Wild

We present recursive recurrent neural networks with attention modeling (...

0 Chen-Yu Lee, et al. ∙

∙ 09/30/2015

Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree

We seek to improve deep neural networks by generalizing the pooling oper...

0 Chen-Yu Lee, et al. ∙

∙ 05/11/2015

Training Deeper Convolutional Networks with Deep Supervision

One of the most promising ways of improving the performance of deep conv...

0 Liwei Wang, et al. ∙

∙ 09/18/2014

Deeply-Supervised Nets

Our proposed deeply-supervised nets (DSN) method simultaneously minimize...

0 Chen-Yu Lee, et al. ∙

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