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08/17/2023
On the Evaluation of Neural Code Translation: Taxonomy and Benchmark
In recent years, neural code translation has gained increasing attention...
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08/08/2023
InfeRE: Step-by-Step Regex Generation via Chain of Inference
Automatically generating regular expressions (abbrev. regexes) from natu...
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07/01/2023
Self-Supervised Query Reformulation for Code Search
Automatic query reformulation is a widely utilized technology for enrich...
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03/15/2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Knowledge distillation (KD) has been extensively studied in single-label...
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01/31/2023
Monocular Scene Reconstruction with 3D SDF Transformers
Monocular scene reconstruction from posed images is challenging due to t...
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01/21/2023
Dense RGB SLAM with Neural Implicit Maps
There is an emerging trend of using neural implicit functions for map re...
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11/18/2022
Influential Recommender System
Traditional recommender systems are typically passive in that they try t...
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09/05/2022
Continuous Decomposition of Granularity for Neural Paraphrase Generation
While Transformers have had significant success in paragraph generation,...
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08/20/2022
Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks
Text-to-image synthesis aims to generate a photo-realistic and semantic ...
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08/13/2022
A Unified Two-Stage Group Semantics Propagation and Contrastive Learning Network for Co-Saliency Detection
Co-saliency detection (CoSOD) aims at discovering the repetitive salient...
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07/02/2022
Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval
Recently, the cross-modal pre-training task has been a hotspot because o...
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06/29/2022
Diet Code is Healthy: Simplifying Programs for Pre-Trained Models of Code
Pre-trained code representation models such as CodeBERT have demonstrate...
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05/23/2022
RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds
3D motion estimation including scene flow and point cloud registration h...
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04/18/2022
Zero-Shot Program Representation Learning
Learning program representations has been the core prerequisite of code ...
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03/03/2022
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
Estimating the accurate depth from a single image is challenging since i...
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01/01/2022
Cross-Domain Deep Code Search with Few-Shot Meta Learning
Recently, pre-trained programming language models such as CodeBERT have ...
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11/04/2021
Response Generation with Context-Aware Prompt Learning
Pre-trained language models (PLM) have marked a huge leap in neural dial...
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03/24/2021
DRO: Deep Recurrent Optimizer for Structure-from-Motion
There are increasing interests of studying the structure-from-motion (Sf...
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03/12/2021
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts
Code comment has been an important part of computer programs, greatly fa...
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12/03/2020
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances
Recent advances in pre-trained language models have significantly improv...
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10/22/2020
Learning Dual Semantic Relations with Graph Attention for Image-Text Matching
Image-Text Matching is one major task in cross-modal information process...
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12/13/2019
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
The deep multi-view stereo (MVS) and stereo matching approaches generall...
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07/02/2019
Attribute-Driven Spontaneous Motion in Unpaired Image Translation
Current image translation methods, albeit effective to produce high-qual...
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07/02/2019
Landmark Assisted CycleGAN for Cartoon Face Generation
In this paper, we are interested in generating an cartoon face of a pers...
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05/31/2018
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Variational autoencoders (VAEs) have shown a promise in data-driven conv...
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04/25/2017
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
Computer programs written in one language are often required to be porte...
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05/27/2016
Deep API Learning
Developers often wonder how to implement a certain functionality (e.g., ...
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12/04/2015
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Recently, dropout has seen increasing use in deep learning. For deep con...
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12/01/2015
Towards Dropout Training for Convolutional Neural Networks
Recently, dropout has seen increasing use in deep learning. For deep con...
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11/30/2015