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Showing below up to 83 results in range #301 to #383.
- probabilistic Matrix Factorization
- probabilistic PCA with GPLVM
- proof
- proof of Lemma 1
- proof of Theorem 1
- proposal Fall 2010
- proposal for STAT946 (Deep Learning) final projects Fall 2015
- proposal for STAT946 projects
- proposal for STAT946 projects Fall 2010
- quantifying cancer progression with conjunctive Bayesian networks
- quantifying cancer progression with conjunctive Bayesian networks.
- question Answering with Subgraph Embeddings
- rOBPCA: A New Approach to Robust Principal Component Analysis
- regression on Manifold using Kernel Dimension Reduction
- relevant Component Analysis
- residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models
- s13Stat946proposal
- sandbox to test w2l
- scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines
- schedule
- schedule946
- schedule of Project Presentations
- self-Taught Learning
- semi-supervised Learning with Deep Generative Models
- show, Attend and Tell: Neural Image Caption Generation with Visual Attention
- signupformStat341F11
- singular Value Decomposition(SVD)
- sparse PCA
- stat441F18/TCNLM
- stat441F18/YOLO
- stat441w18/A New Method of Region Embedding for Text Classification
- stat441w18/Convolutional Neural Networks for Sentence Classification
- stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction
- stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction
- stat441w18/e-gan
- stat441w18/mastering-chess-and-shogi-self-play
- stat441w18/summary 1
- stat841F18/
- stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series
- stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs
- stat946F18/differentiableplasticity
- stat946F20/GradientLess Descent
- stat946f11pool
- stat946f15/Deep neural networks for acoustic modeling in speech recognition
- stat946f15/Sequence to sequence learning with neural networks
- stat946w18
- stat946w18/
- stat946w18/AmbientGAN: Generative Models from Lossy Measurements
- stat946w18/Hierarchical Representations for Efficient Architecture Search
- stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT
- stat946w18/Implicit Causal Models for Genome-wide Association Studies
- stat946w18/MaskRNN: Instance Level Video Object Segmentation
- stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
- stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers
- stat946w18/Self Normalizing Neural Networks
- stat946w18/Spectral
- stat946w18/Spectral normalization for generative adversial network
- stat946w18/Synthetic and natural noise both break neural machine translation
- stat946w18/Tensorized LSTMs
- stat946w18/Towards Image Understanding From Deep Compression Without Decoding
- stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only
- stat946w18/Wavelet Pooling For Convolutional Neural Networks
- statf09841Proposal
- statf09841Scribe
- statf10841Scribe
- strategies for Training Large Scale Neural Network Language Models
- summary
- supervised Dictionary Learning
- tRIAL for that odd behaviour
- test
- the Indian Buffet Process: An Introduction and Review
- the Manifold Tangent Classifier
- the Wake-Sleep Algorithm for Unsupervised Neural Networks
- the loss surfaces of multilayer networks (Choromanska et al.)
- time-series-using-GAN
- uncovering Shared Structures in Multiclass Classification
- very Deep Convoloutional Networks for Large-Scale Image Recognition
- video-Based Face Recognition Using Adaptive Hidden Markov Models
- visualizing Data using t-SNE
- visualizing Similarity Data with a Mixture of Maps
- what game are we playing
- wikicoursenote:Manual of Style
- wikicoursenote:cleanup