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07/20/2023
Fractional Denoising for 3D Molecular Pre-training
Coordinate denoising is a promising 3D molecular pre-training method, wh...
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03/27/2020
Controllable Person Image Synthesis with Attribute-Decomposed GAN
This paper introduces the Attribute-Decomposed GAN, a novel generative m...
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09/05/2019
Effective Domain Knowledge Transfer with Soft Fine-tuning
Convolutional neural networks require numerous data for training. Consid...
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04/11/2019
Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
We propose the Unified Visual-Semantic Embeddings (Unified VSE) for lear...
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04/11/2019
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations
We propose Unified Visual-Semantic Embeddings (UniVSE) for learning a jo...
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08/28/2017
Automatic Dataset Augmentation
Large scale image dataset and deep convolutional neural network (DCNN) a...
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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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11/01/2016
Dual Learning for Machine Translation
While neural machine translation (NMT) is making good progress in the pa...
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06/21/2016
Topic Aware Neural Response Generation
We consider incorporating topic information into the sequence-to-sequenc...
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12/04/2014
LightLDA: Big Topic Models on Modest Compute Clusters
When building large-scale machine learning (ML) programs, such as big to...
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12/17/2013
Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data
Image retrieval refers to finding relevant images from an image database...
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10/19/2012