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Showing below up to 133 results in range #251 to #383.
- inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
- infoboxtest
- is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction
- joint training of a convolutional network and a graphical model for human pose estimation
- kernel Dimension Reduction in Regression
- kernel Spectral Clustering for Community Detection in Complex Networks
- kernelized Locality-Sensitive Hashing
- kernelized Sorting
- large-Scale Supervised Sparse Principal Component Analysis
- learn what not to learn
- learning2reasoning
- learning Convolutional Feature Hierarchies for Visual Recognition
- learning Fast Approximations of Sparse Coding
- learning Hierarchical Features for Scene Labeling
- learning Long-Range Vision for Autonomous Off-Road Driving
- learning Phrase Representations
- learning Spectral Clustering, With Application To Speech Separation
- link to my paper
- mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION
- mark Your Contribution here
- mark your contribution here
- markov Random Fields for Super-Resolution
- matrix Completion with Noise
- maximum-Margin Matrix Factorization
- maximum Variance Unfolding (June 2 2009)
- maximum likelihood estimation of intrinsic dimension
- meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
- measuring Statistical Dependence with Hilbert-Schmidt Norm
- measuring and testing dependence by correlation of distances
- measuring statistical dependence with Hilbert-Schmidt norms
- memory Networks
- metric and Kernel Learning Using a Linear Transformation
- monte Carlo methods
- multi-Task Feature Learning
- natural language processing (almost) from scratch.
- neighbourhood Components Analysis
- neural Machine Translation: Jointly Learning to Align and Translate
- neural Turing Machines
- nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
- nonparametric Latent Feature Models for Link Prediction
- on the Number of Linear Regions of Deep Neural Networks
- on the difficulty of training recurrent neural networks
- on using very large target vocabulary for neural machine translation
- orthogonal gradient descent for continual learning
- overfeat: integrated recognition, localization and detection using convolutional networks
- paper 13
- parametric Local Metric Learning for Nearest Neighbor Classification
- parsing natural scenes and natural language with recursive neural networks
- policy optimization with demonstrations
- positive Semidefinite Metric Learning Using Boosting-like Algorithms
- 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