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- 20:21, 5 December 2020 This Looks Like That: Deep Learning for Interpretable Image Recognition (hist) [9,951 bytes] N2chatti (talk | contribs) (Created page with "== Presented by == Nouha Chatti == Introduction == The motivation behind this paper is to introduce a new deep learning network architecture capable of reasoning in a humanl...")
- 21:07, 1 December 2020 Time-series Generative Adversarial Networks (hist) [21,169 bytes] G45sharm (talk | contribs) (Created page with "== Presented By == Govind Sharma (20817244) == Introduction == A time-series model should not only be good at learning the overall distribution of temporal features within d...")
- 21:02, 1 December 2020 time-series-using-GAN (hist) [44 bytes] G45sharm (talk | contribs) (Presented By)
- 01:23, 30 November 2020 Evaluating Machine Accuracy on ImageNet (hist) [29,340 bytes] J52dong (talk | contribs) (Created page with "== Presented by == Siyuan Xia, Jiaxiang Liu, Jiabao Dong, Yipeng Du == Introduction == ImageNet is the most influential data set in machine learning with images and corresp...")
- 20:36, 29 November 2020 Being Bayesian about Categorical Probability (hist) [29,729 bytes] Nbvadive (talk | contribs) (initial summary)
- 04:10, 29 November 2020 Roberta (hist) [14,722 bytes] Dmaleki (talk | contribs) (Created page with "== Presented by == Danial Maleki == Introduction == Self-training methods in the NLP domain(Natural Language Processing) like ELMo[1], GPT[2], BERT[3], XLM[4], and XLNet[5] h...")
- 16:13, 28 November 2020 Self-Supervised Learning of Pretext-Invariant Representations (hist) [20,351 bytes] Sfarsang (talk | contribs) (Created page with "Summary")
- 14:44, 27 November 2020 Mask RCNN (hist) [20,099 bytes] X93ma (talk | contribs) (Created page with "== Presented by == Qing Guo, Xueguang Ma, James Ni, Yuanxin Wang == Introduction == Mask RCNN [1] is a deep neural network architecture that aims to solve instance segmenta...")
- 22:41, 26 November 2020 Improving neural networks by preventing co-adaption of feature detectors (hist) [29,831 bytes] Sh68lee (talk | contribs) (Created page with "asdasdasdas")
- 22:41, 26 November 2020 Improving neural networks by preventing co-adaption of feature detectors 2020 Fall (hist) [16 bytes] Sh68lee (talk | contribs) (Created page with "adasdasdasdasdas")
- 18:18, 26 November 2020 A universal SNP and small-indel variant caller using deep neural networks (hist) [18,624 bytes] Iaoellme (talk | contribs) (Created blank page)
- 14:59, 26 November 2020 Loss Function Search for Face Recognition (hist) [26,747 bytes] Jcllau (talk | contribs) (Created page with "testing testing")
- 18:45, 25 November 2020 Music Recommender System Based using CRNN (hist) [26,359 bytes] J2battis (talk | contribs) (Created page with "Introduction and Objective: In the digital era of music streaming, companies such as Spotify and Pandora are faced with the following challenge: how to provide users with...")
- 02:03, 25 November 2020 CRITICAL ANALYSIS OF SELF-SUPERVISION (hist) [11,995 bytes] Mrasooli (talk | contribs) (Created page with "\section{Introduction} just for test")
- 18:02, 24 November 2020 Research Papers Classification System (hist) [27,978 bytes] Ck6li (talk | contribs) (Created page with "== Presented by == Jill Wang, Junyi Yang, Yu Min Wu, Chun Kit (Calvin) Li == Introduction == This paper introduces a paper classification system that utilizes the Term freque...")
- 13:14, 24 November 2020 ModelFramework.jpg (hist) [27 bytes] D287zhan (talk | contribs) (Created page with "File:ModelFramework.jpg")
- 23:27, 22 November 2020 Surround Vehicle Motion Prediction (hist) [29,510 bytes] Y87yu (talk | contribs) (Created page with "\documentclass[12pt]{article} \usepackage{amsmath} \usepackage{graphicx} \usepackage {subcaption} \begin{document} \section{Introduction} This paper presents a surround vehi...")
- 20:33, 22 November 2020 Speech2Face: Learning the Face Behind a Voice (hist) [32,521 bytes] D287zhan (talk | contribs) (Created page with "== Presented by == Ian Cheung, Russell Parco, Scholar Sun, Jacky Yao, Daniel Zhang == Introduction == == Previous Work == == Motivation == == Model Architecture ==...")
- 20:25, 22 November 2020 Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence (hist) [17,860 bytes] H48chang (talk | contribs) (Created page with "== Presented by == Guanting Pan, Zaiwei Zhang, Haocheng Chang == Introduction == As the development of mobile device and location-acquisition technologies, accessing real-t...")
- 15:51, 22 November 2020 Semantic Relation Classification——via Convolution Neural Network (hist) [15,324 bytes] R6gong (talk | contribs) (Created page with " After featurizing all words in the sentence. The sentence of length N can be expressed as a vector of length $N$, which looks like $$e=[e_{1},e_{2},\ldots,e_{N}]$$ and eac...")
- 11:52, 21 November 2020 One-Shot Object Detection with Co-Attention and Co-Excitation (hist) [22,512 bytes] Gbathla (talk | contribs) (Created page with "== Presented By == Gautam Bathla == Background == Object Detection is a technique where the model gets an image as an input and outputs the class and location of all the obj...")
- 15:17, 19 November 2020 THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS (hist) [17,773 bytes] A227jain (talk | contribs) (Created page with " == Presented By == Abhinav Jain == Background == The ability of graph neural networks (GNNs) for distinguishing nodes in graphs has been recently characterized in terms of...")
- 22:38, 17 November 2020 Functional regularisation for continual learning with gaussian processes (hist) [26,792 bytes] M372chen (talk | contribs) (Created page with "== Presented by == Meixi Chen == Introduction == == Previous Work == == Motivation == == Model == == Conclusion == == Critiques == == References ==")
- 19:53, 17 November 2020 Pre-Training Tasks For Embedding-Based Large-Scale Retrieval (hist) [22,307 bytes] Pmcwhann (talk | contribs) (Created page with "==Introduction== One of the ways humans learn language, especially second language or language learning by students, is by communication and getting its feedback. However, mo...")
- 19:52, 17 November 2020 Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval (hist) [2,068 bytes] Pmcwhann (talk | contribs) (Created page with "This page is a summary for NIPS 2016 paper <i>Dialog-based Language Learning</i> [1]. ==Introduction== One of the ways humans learn language, especially second language or la...")
- 17:43, 16 November 2020 SuperGLUE (hist) [16,457 bytes] S2sakhuj (talk | contribs) (Created page with " == SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems == == Presented by == Shikhar Sakhuja == Introduction == Natural Language Processing...")
- 17:03, 16 November 2020 Streaming Bayesian Inference for Crowdsourced Classification (hist) [13,491 bytes] Jdhchow (talk | contribs) (Created page with "Group 4 Paper Presentation Summary By Jonathan Chow, Nyle Dharani, Ildar Nasirov == Motivation == Crowdsourcing can be a useful tool for data generation in classification pro...")
- 00:06, 16 November 2020 Influenza Forecasting Framework based on Gaussian Processes (hist) [17,358 bytes] D62smith (talk | contribs) (Created page with "Test")
- 00:02, 16 November 2020 Influenza Forecasting Framework based on Gaussian processes Summary (hist) [4 bytes] D62smith (talk | contribs) (Created page with "Test")
- 17:45, 15 November 2020 Model Agnostic Learning of Semantic Features (hist) [15,514 bytes] Msikarou (talk | contribs) (Created page with "== Presented by == Milad Sikaroudi == Introduction == Transfer learning is a line of research in machine learning which focuses on storing knowledge from one domain (source...")
- 13:13, 15 November 2020 Describtion of Text Mining (hist) [31,794 bytes] Y2872wan (talk | contribs) (Created page with "zzz")
- 10:57, 15 November 2020 Adversarial Fisher Vectors for Unsupervised Representation Learning (hist) [22,378 bytes] Shemati (talk | contribs) (Created page with "== Introduction == Generative adversarial networks (GANs) are one of the most important generative models, where a couple of discriminator and generator compete to each othe...")
- 15:56, 14 November 2020 Neural ODEs (hist) [24,911 bytes] Jchalatu (talk | contribs) (Summary for Neural ODEs (2018))
- 01:36, 14 November 2020 IPBoost (hist) [18,321 bytes] Cgkdever (talk | contribs) (Created page with "== Presented by == Casey De Vera, Jihoon Han, Solaiman Jawad == Introduction == == Motivation == == IPBoost: Boosting via Integer Programming == == Results and Perform...")
- 00:09, 14 November 2020 Dense Passage Retrieval for Open-Domain Question Answering (hist) [17,125 bytes] X46yan (talk | contribs) (Created page with "== Presented by == Nicole Yan == Introduction == == Previous Work == == Motivation == == Model Architecture == == ILSVRC 2014 Challenge Results == == Conclusio...")
- 14:30, 13 November 2020 Superhuman AI for Multiplayer Poker (hist) [26,382 bytes] Hhalim (talk | contribs) (Created page with "== Presented by == Hansa Halim, Sanjana Rajendra Naik, Samka Marfua, Shawrupa Proshasty == Introduction == Lorem Ipsum Bla bla bla == Related Work == Lorem Ipsum Bla bla...")
- 12:45, 13 November 2020 Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (hist) [23,595 bytes] Cfmeaney (talk | contribs) (Created page with "Placeholder text")
- 04:19, 13 November 2020 Adacompress: Adaptive compression for online computer vision services (hist) [27,197 bytes] Ahamsala (talk | contribs) (Created page with " == Presented by == Ahmed Salamah == Introduction == One of the major parameters that can be changed in the JPEG pipeline is the quantization table, which is the main sourc...")
- 20:15, 11 November 2020 what game are we playing (hist) [25,901 bytes] E6peters (talk | contribs) (Created page with "== Authors == Yuxin Wang, Evan Peters, Yifan Mou, Sangeeth Kalaichanthiran == Introduction == == Quantal response in Normal form games == == Learning Extensive form game...")
- 00:02, 11 November 2020 DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION (hist) [13,738 bytes] Byyou (talk | contribs) (Created page with "== Presented by == Bowen You == Introduction == In the general reinforcement learning framework, one typically trains an agent to learn complex behaviors. Intelligent agen...")
- 22:11, 10 November 2020 orthogonal gradient descent for continual learning (hist) [15,363 bytes] P2torabi (talk | contribs) (Orthogonal Gradient Descent For Continual Learning)
- 23:31, 9 November 2020 Graph Structure of Neural Networks (hist) [24,857 bytes] Y27weng (talk | contribs) (Created page with "'''Presented By''' Xiaolan Xu, Robin Wen, Yue Weng, Beizhen Chang = Introduction = = Related Work = = Section 1 = = Section 2 = = Section 3 = = Conclusion = = Critique =")
- 17:32, 9 November 2020 a fair comparison of graph neural networks for graph classification (hist) [15,982 bytes] J6bhatia (talk | contribs) (Created page with "== Presented By == Jaskirat Singh Bhatia")
- 15:49, 9 November 2020 Meta-Learning For Domain Generalization (hist) [14,600 bytes] Pashrafi (talk | contribs) (Created page with "== Presented by == Parsa Ashrafi Fashi == Introduction == Domain Shift problem addresses the problem where a model trained on a data distribution cannot perform well when te...")
- 15:47, 9 November 2020 Meta-Learning-For-Domain Generalization (hist) [1,514 bytes] Pashrafi (talk | contribs) (Created page with "== Presented by == Parsa Ashrafi Fashi == Introduction == Domain Shift problem addresses the problem where a model trained on a data distribution cannot perform well when te...")
- 06:40, 9 November 2020 Extreme Multi-label Text Classification (hist) [15,848 bytes] Mhwu (talk | contribs) (Created page with "== Presented By == Mohan Wu")
- 20:20, 8 November 2020 Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates (hist) [14,911 bytes] Gsikri (talk | contribs) (Created page with " == Presented By == Gaurav Sikri == Background == Adversarial examples are inputs to machine learning or deep neural network models that an attacker intentionally designs to...")
- 16:55, 8 November 2020 Task Understanding from Confusing Multi-task Data (hist) [27,980 bytes] Wmloh (talk | contribs) (Created page with "= Introduction =")
- 16:48, 8 November 2020 Task Understanding from Confushing Multitask Data (hist) [5,085 bytes] Wmloh (talk | contribs) (Created page with "Task Understanding from Confusing Multi-task Data")
- 02:00, 8 November 2020 When Does Self-Supervision Improve Few-Shot Learning? (hist) [16,936 bytes] A4moayye (talk | contribs) (Created page with "Test")
