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03/29/2023
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations
Existing instance segmentation models learn task-specific information us...
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03/17/2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Text-to-image (T2I) models based on diffusion processes have achieved re...
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10/23/2022
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
Prompt tuning approaches, which learn task-specific soft prompts for a d...
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12/15/2021
Value Retrieval with Arbitrary Queries for Form-like Documents
We propose value retrieval with arbitrary queries for form-like document...
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11/18/2021
Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes
Despite great progress in object detection, most existing methods are li...
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10/11/2021
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting
Although pre-trained language models, such as BERT, achieve state-of-art...
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12/16/2020
Focusing More on Conflicts with Mis-Predictions Helps Language Pre-Training
In this work, we propose to improve the effectiveness of language pre-tr...
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08/04/2020
Taking Notes on the Fly Helps BERT Pre-training
How to make unsupervised language pre-training more efficient and less r...
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02/12/2020
On Layer Normalization in the Transformer Architecture
The Transformer is widely used in natural language processing tasks. To ...
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12/03/2019
Distance-Based Learning from Errors for Confidence Calibration
Deep neural networks (DNNs) are poorly-calibrated when trained in conven...
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02/19/2019
Adaptive Cross-Modal Few-Shot Learning
Metric-based meta-learning techniques have successfully been applied to ...
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10/03/2018
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
This paper reviews the first challenge on efficient perceptual image enh...
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02/24/2018
A Walk with SGD
Exploring why stochastic gradient descent (SGD) based optimization metho...
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10/31/2017
A Sequential Matching Framework for Multi-turn Response Selection in Retrieval-based Chatbots
We study the problem of response selection for multi-turn conversation i...
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01/25/2017
Hierarchical Recurrent Attention Network for Response Generation
We study multi-turn response generation in chatbots where a response is ...
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12/06/2016
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots
We study response selection for multi-turn conversation in retrieval-bas...
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11/02/2016
Detecting Context Dependent Messages in a Conversational Environment
While automatic response generation for building chatbot systems has dra...
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06/21/2016