Papers 📰

We only add paper to this list before we decide to oral/poster it at our AMC seminar.

AMC Season 3

Season 3
Episode 1 - 20EST
Date 11 August 2019 - 2020

Orals (Season 3)

Seminar Member Paper
S3E15 @23LuZ 基于生成模型的闲聊机器人评价方法综述
S3E13 @23LuZ 基于生成模型的闲聊机器人评价方法综述
S3E12 @hwfan How to Read a Paper
S3E10 @CyFeng16 FastFCN and Cybernetics
S3E8 @CyFeng16 Development of Semantic Segmentation Domain
S3E8 @hwfan Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition
S3E7 @huan TensorFlow in JavaScript with A Seq2seq Model in JS
S3E6 @hwfan Deep Metric Learning: A Frontal Report
S3E6 @ArronHZG Expectation-Maximization Attention Networks for Semantic Segmentation
S3E5 @Zecheng Yale Semantic Parsing and Text-to-SQL Challenge
S3E1 @initc The Evaluation of Chinese Human-Computer Dialogue Technology,SMP2019-ECDT
S3E5 @23LuZ A Neural Conversational Model

Posters (Season 3)

Seminar Member Paper
S3E18 @Duan-JM Optimization-Based Meta-Learning
S3E18 @Duan-JM Brief Roadmap for Few-shot Image Classification
S3E17 @qhduan Visualizing and Measuring the Geometry of BERT
S3E17 @huan Improving Multi-turn Dialogue Modelling with Utterance ReWriter
S3E16 @newip Deep Learning in Spiking Neural Networks
S3E15 @huan Chinese version of GPT2 training code, using BERT tokenizer.
S3E15 @qhduan A Unified Model for Joint Chinese Word Segmentation and Dependency Parsing
S3E15 @CyFeng16 An Empirical Study of Spatial Attention Mechanisms in Deep Networks
S3E13 @qhduan Deep Biaffine Attention for Neural Dependency Parsing
S3E13 @23LuZ A Brief Review of Evaluation for Chatbot systems
S3E12 @Leona08 A peek into the black box: exploring classifiers by randomization
S3E12 @tabZhang Generative Code Modeling With Graphs
S3E12 @CyFeng16 Recursive Sketches for Modular Deep Learning
S3E10 @gaojiuy Visualizing the Hidden Activity of Artificial Neural Networks
S3E10 @ximingxing Induction Networks for Few-Shot Text Classification
S3E10 @Leona08 “Why Should I Trust You?”Explaining the Predictions of Any Classifier
S3E10 @gaojiuy Visualizing the Hidden Activity of Artificial Neural Networks
S3E9 @cgpeter96 25 Tweets to Know You: A New Model to Predict Personality with Social Media
S3E9 @CyFeng16 人工智能, 碳污染, 及其应对
S3E9 @huan Transformer如戏,全靠Mask
S3E8 @gaojiuy Visualizing the Hidden Activity of Artificial Neural Networks
S3E7 @AlaskaaWong 模糊语言的语用分析
S3E7 @23LuZ Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
S3E7 @ggsonic Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
S3E6 @fuyunfuyun666 Multi-task Learning of Hierarchical Vision-Language Representation
S3E6 @23LuZ Neural Responding Machine for Short-Text Conversation
S3E6 @huan Tensorflow 2.0 with TPU
S3E5 @huan Pre-training BERT from scratch with cloud TPU
S3E4 @newip Segmentation of retinal fluid based on deep learning: application of three-dimensional fully convolutional neural networks in optical coherence tomography images
S3E4 @gaojiuy Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
S3E3 @ArronHZG Dual Attention Network for Scene Segmentation
S3E3 @gaojiuy Visualizing and Understanding Convolutional Networks
S3E3 @tabZhang Chinese NER Using Lattice LSTM
S3E3 @vdeamov Learning to Propagate Labels-Transductive Propagation Network for Few-Shot Learning
S3E3 @secortot Feature Selective Anchor-Free Module for Single-Shot Object Detection
S3E1 @newip Clinically applicable deep learning for diagnosis and referral in retinal disease
S3E1 @qhduan 如何把博客图谱变成问答机器人
S3E1 @cgpeter96 Deep Sets

AMC Season 2

Season 2
Episode 1 - 20
Date 3 March 2019 - 21 July 2019

Orals (Season 2)

Seminar Member Paper
S2E18 @824zzy The combination of NLP and Quantitative Investment
S2E16 @ArronHZG 语义分割综述
S2E15 @linbo0518 Dive into NN: Theory, Architecture and Initialization
S2E14 @824zzy Weight Agnostic Neural Networks, David Ha, 2019
S2E13 @824zzy 面向深度学习系统的突变软件测试, Zhu et al., 2019
S2E12 @824zzy Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders, Drozdov et al., NAACL2019
S2E11 @barrykui A^2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes, Xu et al., AAAI2019
S2E11 @CyFeng16 Survey of Neural Architecture Search, Shi, 2019
S2E10 @huan Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation, Melvin et. al, ACL2017
S2E09 @824zzy Hybrid computing using a neural network with dynamic external memory, Alex et. al, Nature2016
S2E08 @824zzy Neural Turing Machine, Alex et. al, 2014
S2E06 @824zzy Learning to Compose Topic-Aware Mixture of Experts for Zero-shot Video Captioning, Xin et. al, 2018-11-23
S2E05 @824zzy Visul Storytelling, Ting-Hao et. al, 2016
S2E02 @VDeamoV travelgan-image-to-image-translation-by-transformation-vector-learning, Amodio et. al, 2019
S2E01 @824zzy Describing Videos by Exploiting Temporal Structure, Li et. al, 2015

Posters (Season 2)

Seminar Member Paper
S2E20 @qhduan Few-Shot Generalization Across Dialogue Tasks
S2E19 @ArronHZG Attention in computer version
S2E19 @WdBlink High-Resolution Representations for Labeling Pixels and Regions
S2E19 @secortot guided anchor
S2E19 @VDeamoV Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
S2E19 @gaojiuy Learning Deep Features for Discriminative Localization
S2E18 @newip Magic Mirror Project Introducton and Kick Off Notification
S2E18 @secortot Simple Baselines for Human Pose Estimation and Tracking
S2E18 @gaojiuy On PixelWise Explanations for NonLinear Classifier Decisions by Layer-Wise Relevance Propagation
S2E18 @VDeamoV Pytorch TPU 使用初体验
S2E17 @linbo0518 Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations
S2E17 @newip Real-Time Monocular Pose Estimation of 3D Objects using Temporally Consistent Local Color Histograms
S2E17 @Jarvisgivemeasuit CornerNet: Detecting Objects as Paired Keypoints
S2E17 @WdBlink 3D MRI brain tumor segmentation using autoencoder regularization
S2E17 @henryjz Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
S2E17 @cgpeter Multi-Label Image Recognition with Graph Convolutional Networks
S2E16 @824zzy Colab&TPU&Pytorch&Hub
S2E16 @newip Idea: Is it possible to put human being’s characters model into NLP?
S2E16 @huan 苏现林的2019语言与智能技术竞赛“三元组”信息抽取任务模型
S2E15 @824zzy XLNet: Generalized Autoregressive Pretraining for Language Understanding, Yang et. al
S2E15 @chen-dixi Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation, Yawei Luo, et. al., CVPR2019
S2E15 @VDeamoV Progressive Pose Attention Transfer for Person Image Generation
S2E15 @huan Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer, Sudha Rao and Joel Tetreault, NAACL-HLT 2018
S2E14 @Jarvisgivemeasuit Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks, Zhang et al., IEEE Signal Processing Letters 2016
S2E14 @fuyunfuyun666 Character Region Awareness for Text Detection, Youngmin Baek et. al., CVPR2019
S2E14 @huan A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer, Fuli Luo et. al., ACL2019
S2E13 @chen-dixi Almost Unsupervised Text to Speech and Automatic Speech Recognition, Yi Ren, et. al., ICML2019
S2E13 @vdeamov TADAM: Task dependent adaptive metric for improved few-shot learnin, Oreshkin, et. al., 2018
S2E13 @fuyunfuyun666 Detecting Curve Text in the Wild: New Dataset and New Solution, Liu et. al., 2017
S2E13 @huan Generating Long Sequences with Sparse Transformers, Rewon Child, et. al., 2019
S2E12 @huan Speech2Face: Learning the Face Behind a Voice, Tae-Hyun et. al., 2019
S2E12 @linbo0518 Bag of Tricks for Image Classification with Convolutional Neural Networks, He et al., 2018
S2E12 @houzhenggangGit Convolutional Pose Machines
S2E11 @muzi-8 Visualization of FCN and Unet
S2E11 @linbo0518 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation, Cicek et al., 2016
S2E11 @huan Secondary Structure Elements 3D Segmentation for Protein, Li et. al., 2019[Coming Soon]
S2E11 @824zzy Online Scheduled Hard Example Selection for Visual Storytelling, Zhu et. al, 2019
S2E10 @linbo0518 轮子不够自己造:PyTorch’s Semantic Segmentation Toolbox
S2E10 @824zzy Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks, Samy et. al, 2015
S2E09 @vdeamov Histograms of Oriented Gradients for Human Detection, Navneet et. al, CVPR2005
S2E09 @fuyunfuyun666 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, Ren et. al, NIPS2015
S2E08 @YapheeetS A Hierarchical Neural Autoencoder for Paragraphs and Documents, Jiwei et. al, 2015
S2E08 @fuyunfuyun666 IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection, Qiangpeng et. al, 2018,IJCAI
S2E07 @YapheeetS Natural Language Processing for Information Extraction, Sonit et. al, 2018
S2E07 @824zzy Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning, Xin et. al, 2018, NAACL
S2E07 @fuyunfuyun666 E2E-MLT-an Unconstrained End-to-End Method for Multi-Language Scene Text, Michal et. al, 2018
S2E07 @cgpeter96 Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation, Wang et. al, 2018, CVPR
S2E07 @vdeamov Low-shot Learning via Covariance Preserving Adversarial Augmentation Networks, Hang et. al, NIPS2018
S2E06 @fuyunfuyun666 Scene Text Recognition from Two-Dimensional Perspective, Minghui et. al, 2019, AAAI
S2E05 @cgpeter96 Visual Relationship Detection with Language Priors, Cewu et. al, 2016
S2E05 @VDeamoV Learning to Compare: Relation Network for Few-Shot Learning, Sung et. al, 2018
S2E04 @824zzy No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling, Xin et. al, 2018
S2E04 @initc Pretraining-Based Natural Language Generation for Text Summarization, Haoyu et. al, 2019
S2E03 @YapheeetS xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems, Jianxun et. al, 2018
S2E03 @824zzy Video Description: A Survey of Methods, Datasets and Evaluation Metrics, Nayyer et. al, 2019
S2E02 @824zzy Video Captioning via Hierarchical Reinforcement Learning, Xin et. al, 2019
S2E02 @CyFeng16 TF2.0使用心法
S2E02 @cgpeter96 图神经网络工具DGL介绍
S2E01 @cgpeter96 Learning Semantic Concepts and Order for Image and Sentence Matching, Huang et. al, 2018

AMC Season 1

Season 1
Episode 1 - 23
Date 8 August 2018 - 13 January 2019

Orals (Season 1)

Seminar Member Paper
S1E22 @TuringLee Dual Ask-Answer Network forMachine Reading Comprehension, Han et. al, 2018
S1E21 @TuringLee The Design and Implementation of XiaoIce, an Empathetic Social Chatbot, Li et. al, 2018
S1E20 @824zzy A Comprehensive Survey of Deep Learning for Image Captioning, MD. et. al, 2018
S1E19 @qhduan 如何从零构建一个对话机器人
S1E18 @cgpeter96 order embeddings of images and language, Ivan et. al, 2016
S1E17 @cgpeter96 An overview of gradient descent optimization algorithms, SebastianRuder et. al, 2016
S1E16 @824zzy On Learning to Think, Jurgen et. al, 2018
S1E15 @huan Demo: Seq2seq chit chat model
S1E14 @qhduan Chatbot Design Experience
S1E13 @initc Neural Belief Tracker: Data-Driven Dialogue State Tracking, Tsung-Hsien et. al, 2017
S1E12 @824zzy World Models, Jurgen et. al, 2018
S1E11 @824zzy Dynamic Routing Between Capsules, Sara et. al, NIPS2017
S1E10 @TuringLee BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, Jacob et. al, 2018
S1E09 @huan A Mini Review of Word Embedding in Morpho
S1E08 @initc Question Answering with Subgraph Embeddings, Antoine et. al, 2014
S1E08 @initc Question Answering over Freebase with Multi-Column Convolutional Neural Networks, Li et. al, 2015
S1E07 @initc Semantic Parsing on Freebase from Question-Answer Pairs, Jonathan et. al, 2013
S1E07 @initc Information Extraction over Structured Data: Question Answering with Freebase, Xuchen et. al, 2014
S1E06 @824zzy A Diversity-Promoting Objective Function for Neural Conversation Models, Jiwei Li et. al, 2016
S1E05 @824zzy Link Prediction using Embedded Knowledge Graphs, Yelong et. al, 2016-11-14

Posters (Season 1)

Seminar Member Paper
S1E23 @WEN6Lev57q4 Theme and Sentiment Analysis Model of Public Opinion Dissemination based on Generative Adversarial Network, Haihong et. al, 2017
S1E23 @cgpeter96 Multimodal Convolutional Neural Networks for Matching Image and Sentence, Ma et. al, ICCV2015
S1E23 @huan 对于LSTM中使用缺省的sigmod激活函数,收敛效果好于ReLu的思考
S1E23 @zhihengshuaige GAN在语言模型中的应用
S1E23 @824zzy Translating Videos to Natural Language Using Deep Recurrent Neural Networks, Subhashini et. al, 2015
S1E22 @huan Graph Convolution over Pruned Dependency Trees Improves Relation Extraction, Yuhao et. al, 2018
S1E22 @ozzie00 A Generalized Language Model in Tensor Space, Zhang et. al, 2019
S1E21 @qhduan Recurrent Attention Network on Memory for Aspect Sentiment Analysis, Peng et. al, ACL2017
S1E21 @wangshirui33 cw2vec- Learning Chinese Word Embeddings with Stroke n-gram Information, Shaosheng et. al, 2018
S1E21 @huan beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework, Irina et. al, 2016
S1E21 @zhangruru1 IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis, Huang et. al, 2018
S1E21 @myXu NASH: Toward End-to-End Neural Architexcture for Generative Semantic Hashing, Shen et. al, 2018
S1E21 @lirui123456789 FRAGE: Frequency-Agnostic Word Representation, Gong et. al, 2018
S1E20 @huan Attention and Augmented Recurrent Neural Networks, Olah et. al, 2016
S1E19 @CyFeng16 如何免费获取108块TPU
S1E19 @lijiarui 使用luis构建一个对话系统
S1E19 @windmemory 对话系统在微信中的应用
S1E19 @bitwater 彩云科技的翻译机器人
S1E19 @jfHao 对话机器人的企业级应用
S1E18 @qhduan Attention? Attention!, Lilian et. al, 2018
S1E18 @824zzy The Consciousness Prior, Bengio et. al, 2017
S1E18 @initc flowqa:-grasping-flow-in-history-for-conversational-machine-comprehension, Hsin-Yuan et. al, 2018
S1E18 @huan Demo: Language Understanding Intelligent Service
S1E18 @muzi-8 Demo: 通过线性回归模型浅析优化算法异同
S1E17 @initc CoQA: A Conversational Question Answering Challenge, Siva et. al, 2018
S1E17 @muzi-8 Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization, Selvaraju et. al, 2016
S1E17 @824zzy The Viterbi Algorithm, G.DAVID et. al, 1973
S1E17 @spLiu TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering, Zhang et. al, 2018
S1E17 @ozzie00 Reinforcement Learning in Natural Language Processing
S1E17 @huan Demo:HandsFree-A WebAssembly Face Align System in Browser
S1E16 @cgpeter96 A Comprehensive Survey on Cross-modal Retrieval, Kaiye et. al, 2018
S1E16 @huan Tensorflow JS Demo: Aida
S1E16 @Samurais 创始人讲述ChatOpera的故事
S1E16 @Samurais A Network-based End-to-End Trainable Task-oriented Dialogue System, Tsung-Hsien et. al, 2017
S1E15 @824zzy Mixture Density Networks, Christopher et. al, 1994
S1E15 @qhduan Predicting Emotion Labels for Chinese Microblog Texts, Zheng et. al, 2015
S1E14 @824zzy Evolution Strategies as a Scalable Alternative to Reinforcement Learning, Tim et. al, 2017
S1E14 @cgpeter96 Stacked Cross Attention for Image-Text Matching, Lee/ et. al, ECCV2018
S1E14 @wangshirui33 Dict2vec : Learning Word Embeddings using Lexical Dictionaries, Julien et. al, 2017
S1E13 @huan Effective Approaches to Attention-based Neural Machine Translation, Luong et. al, 2015
S1E13 @wangshirui33 Character-Level Language Modeling with Deeper Self-Attention, Rami et. al, 2018
S1E13 @qhduan Slot-Gated Modeling for Joint Slot Filling and Intent Prediction, Chih-Wen et. al, 2018
S1E12 @cgpeter96 Language Modeling with Gated Convolutional Networks, Jonas et. al, 2016
S1E12 @qhduan Graph2Seq: Graph to Sequence Learning with Attention-Based Neural Networks, Kun et. al, 2018
S1E12 @TuringLee GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations, Zhilin et. al, 2018
S1E12 @wangshirui33 Skip-Thought Vectors, Ryan et. al, 2015
S1E12 @huan Tensorflow in JavaScript
S1E11 @zecheng A Syntactic Neural Model for General-Purpose Code Generation, Pengcheng et. al, ACL2017
S1E11 @huan Sequence to Sequence Learning with Neural Networks, Ilya et. al, 2014
S1E11 @cgpeter96 Convolutional Sequence to Sequence Learning, Jonas et. al, 2017
S1E11 @wyy0206 A Knowledge-Grounded Neural Conversation Model, Marjan et. al, 2017
S1E11 @CyFeng16 TPU使用心法系列
S1E10 @TuringLee BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, Jacob et. al, 2018
S1E10 @huan Sequence to Sequence Learning with Neural Networks, Ilya et. al, 2014
S1E10 @initc DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning, Wenhan et. al, 2018
S1E10 @wyy0206 Semantic Parsing via Staged Query Graph Generation:Question Answering with Knowledge Base, Wen-tau et. al, ACL2015
S1E10 @wangshirui33 Natural Language Inference with Hierarchical BiLSTM Max Pooling Architecture, Aarne et. al, 2018
S1E10 @charliecheung99 Character-Level Question Answering with Attention, David et. al, 2016
S1E10 @xiaoda99 Commonsense for Generative Multi-Hop Question Answering, Lisa et. al, 2018
S1E09 @zwj277567959 ELMo: Deep contextualized word representations, Matthew et. al, 2018
S1E09 @824zzy Auto Encoding Variational Bayes, Diederik et. al, 2013
S1E09 @cgpeter96 Adversarial Cross-Modal Retrieval, Wang et. al, 2017)
S1E09 @initc Large-scale Simple Question Answering with Memory Network, Antoine et. al, 2015
S1E09 @charliecheung99 CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases, Zihang et. al, 2016
S1E09 @TuringLee context2vec : Learning Generic Context Embedding with Bidirectional LSTM, Oren et. al, 2016
S1E09 @qhduan A Simple But Tough-to-Beat Baseline for Sentence embeddings, Sanjeev et. al, ICLR2017
S1E08 @xiaoda99 improving question answering by commonsense-based pre-training, et. al, 2018
S1E08 @824zzy Object-Difference Attention: A Simple Relational Attention for Visual Question Answering, Chenfei et. al, 2018
S1E08 @cgpeter96 Dual Attention Networks for Multimodal Reasoning and Matching, Hyeonseob et. al, 2016
S1E08 @wangshirui33 Glove:Global Vectors for Word Representation, Jeffrey et. al, 2014
S1E08 @huan Colab Demo: 变分自编码器和代码
S1E07 @TuringLee Distributed Representations of Words and Phrases and their Compositionality, Tomas et. al, NIPS2013
S1E07 @cgpeter96 Attention is all you need, Ashish et. al, 2017
S1E07 @824zzy Visual Question Answering:Datasets, Algorithms, and Future Challenges, Kushal et. al, 2016
S1E07 @xiaoda99 Neural Responding Machine for Short-Text Conversation, Lifeng et. al, 2015
S1E07 @huan Milestone: CAIC has a Wiki!
S1E06 @huan End-to-End Task-Completion Neural Dialogue Systems, et. al, 2018
S1E05 @TuringLee Reading Wikipedia to Answer Open-Domain Questions, Danqi et. al, 2017
S1E05 @initc QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension, Adams et. al, 2018
S1E05 @xiaoda99 The Natural Language Decathlon: Multitask Learning as Question Answering, et. al, 2018
S1E05 @wyy0206 An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge, Yanchao et. al, ACL2017
S1E05 @huan End-to-End Task-Completion Neural Dialogue Systems, et. al, 2018
S1E05 @yxHu 微软实习经验分享