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Showing below up to 410 results in range #21 to #430.
- measuring Statistical Dependence with Hilbert-Schmidt Norm (09:45, 30 August 2017)
- dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces (09:45, 30 August 2017)
- sparse PCA (09:45, 30 August 2017)
- proposal for STAT946 projects (09:45, 30 August 2017)
- neighbourhood Components Analysis (09:45, 30 August 2017)
- learning Spectral Clustering, With Application To Speech Separation (09:45, 30 August 2017)
- visualizing Similarity Data with a Mixture of Maps (09:45, 30 August 2017)
- learning a Nonlinear Embedding by Preserving Class Neighborhood Structure (09:45, 30 August 2017)
- independent Component Analysis: algorithms and applications (09:45, 30 August 2017)
- convex and Semi Nonnegative Matrix Factorization (09:45, 30 August 2017)
- graph Laplacian Regularization for Larg-Scale Semidefinite Programming (09:45, 30 August 2017)
- relevant Component Analysis (09:45, 30 August 2017)
- nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization (09:45, 30 August 2017)
- visualizing Data using t-SNE (09:45, 30 August 2017)
- kernelized Sorting (09:45, 30 August 2017)
- maximum-Margin Matrix Factorization (09:45, 30 August 2017)
- regression on Manifold using Kernel Dimension Reduction (09:45, 30 August 2017)
- stat841 (09:45, 30 August 2017)
- test1 (09:45, 30 August 2017)
- wikicoursenote:Manual of Style (09:45, 30 August 2017)
- infoboxtest (09:45, 30 August 2017)
- statf09841Proposal (09:45, 30 August 2017)
- statf09841Scribe (09:45, 30 August 2017)
- stat841f10 (09:45, 30 August 2017)
- proposal for STAT946 projects Fall 2010 (09:45, 30 August 2017)
- stat946-Fall 2010 (09:45, 30 August 2017)
- wikicoursenote:cleanup (09:45, 30 August 2017)
- statf10841Scribe (09:45, 30 August 2017)
- proposal Fall 2010 (09:45, 30 August 2017)
- f10 Stat841 digest (09:45, 30 August 2017)
- sign up for your presentation (09:45, 30 August 2017)
- schedule of Project Presentations (09:45, 30 August 2017)
- proof of Theorem 1 (09:45, 30 August 2017)
- paper Summaries (09:45, 30 August 2017)
- proof of Lemma 1 (09:45, 30 August 2017)
- a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis (09:45, 30 August 2017)
- discLDA: Discriminative Learning for Dimensionality Reduction and Classification (09:45, 30 August 2017)
- a Direct Formulation For Sparse PCA Using Semidefinite Programming (09:45, 30 August 2017)
- self-Taught Learning (09:45, 30 August 2017)
- deflation Methods for Sparse PCA (09:45, 30 August 2017)
- is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction (09:45, 30 August 2017)
- compressive Sensing (09:45, 30 August 2017)
- mark Your Contribution here (09:45, 30 August 2017)
- mark your contribution here (09:45, 30 August 2017)
- supervised Dictionary Learning (09:45, 30 August 2017)
- link to my paper (09:45, 30 August 2017)
- deflation Method for Penalized Matrix Decomposition Sparse PCA (09:45, 30 August 2017)
- matrix Completion with Noise (09:45, 30 August 2017)
- probabilistic Matrix Factorization (09:45, 30 August 2017)
- uncovering Shared Structures in Multiclass Classification (09:45, 30 August 2017)
- a Rank Minimization Heuristic with Application to Minimum Order System Approximation (09:45, 30 August 2017)
- compressive Sensing (Candes) (09:45, 30 August 2017)
- probabilistic PCA with GPLVM (09:45, 30 August 2017)
- multi-Task Feature Learning (09:45, 30 August 2017)
- optimal Solutions forSparse Principal Component Analysis (09:45, 30 August 2017)
- consistency of Trace Norm Minimization (09:45, 30 August 2017)
- copyofstat341 (09:45, 30 August 2017)
- a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization (09:45, 30 August 2017)
- proof (09:45, 30 August 2017)
- stat341f11 (09:45, 30 August 2017)
- f11Stat841EditorSignUp (09:45, 30 August 2017)
- singular Value Decomposition(SVD) (09:45, 30 August 2017)
- signupformStat341F11 (09:45, 30 August 2017)
- stat946f11 (09:45, 30 August 2017)
- f11Stat946presentation (09:45, 30 August 2017)
- stat946f11pool (09:45, 30 August 2017)
- compressed Sensing Reconstruction via Belief Propagation (09:45, 30 August 2017)
- f11Stat946ass (09:45, 30 August 2017)
- f11Stat946papers (09:45, 30 August 2017)
- f11stat946EditorSignUp (09:45, 30 August 2017)
- contributions on Video-Based Face Recognition Using Adaptive Hidden Markov Models (09:45, 30 August 2017)
- video-Based Face Recognition Using Adaptive Hidden Markov Models (09:45, 30 August 2017)
- tRIAL for that odd behaviour (09:45, 30 August 2017)
- contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (09:45, 30 August 2017)
- a Dynamic Bayesian Network Click Model for Web Search Ranking (09:45, 30 August 2017)
- contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks (09:45, 30 August 2017)
- decentralised Data Fusion: A Graphical Model Approach (Summary) (09:45, 30 August 2017)
- quantifying cancer progression with conjunctive Bayesian networks (09:46, 30 August 2017)
- markov Random Fields for Super-Resolution (09:46, 30 August 2017)
- quantifying cancer progression with conjunctive Bayesian networks. (09:46, 30 August 2017)
- graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns (09:46, 30 August 2017)
- video-based face recognition using Adaptive HMM (09:46, 30 August 2017)
- an HDP-HMM for Systems with State Persistence (09:46, 30 August 2017)
- a Dynamic Bayesian Network Click Model for web search ranking (09:46, 30 August 2017)
- incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary) (09:46, 30 August 2017)
- context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (09:46, 30 August 2017)
- stat340s13 (09:46, 30 August 2017)
- stat946s13 (09:46, 30 August 2017)
- s13Stat946proposal (09:46, 30 August 2017)
- inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method (09:46, 30 August 2017)
- residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models (09:46, 30 August 2017)
- maximum likelihood estimation of intrinsic dimension (09:46, 30 August 2017)
- hierarchical Dirichlet Processes (09:46, 30 August 2017)
- positive Semidefinite Metric Learning Using Boosting-like Algorithms (09:46, 30 August 2017)
- hamming Distance Metric Learning (09:46, 30 August 2017)
- kernel Dimension Reduction in Regression (09:46, 30 August 2017)
- kernelized Locality-Sensitive Hashing (09:46, 30 August 2017)
- parametric Local Metric Learning for Nearest Neighbor Classification (09:46, 30 August 2017)
- kernel Spectral Clustering for Community Detection in Complex Networks (09:46, 30 August 2017)
- adaptive dimension reduction for clustering high dimensional data (09:46, 30 August 2017)
- the Indian Buffet Process: An Introduction and Review (09:46, 30 August 2017)
- large-Scale Supervised Sparse Principal Component Analysis (09:46, 30 August 2017)
- measuring and testing dependence by correlation of distances (09:46, 30 August 2017)
- metric and Kernel Learning Using a Linear Transformation (09:46, 30 August 2017)
- measuring statistical dependence with Hilbert-Schmidt norms (09:46, 30 August 2017)
- rOBPCA: A New Approach to Robust Principal Component Analysis (09:46, 30 August 2017)
- cardinality Restricted Boltzmann Machines (09:46, 30 August 2017)
- nonparametric Latent Feature Models for Link Prediction (09:46, 30 August 2017)
- stat841f14 (09:46, 30 August 2017)
- sandbox to test w2l (09:46, 30 August 2017)
- f14Stat842EditorSignUp (09:46, 30 August 2017)
- graves et al., Speech recognition with deep recurrent neural networks (09:46, 30 August 2017)
- proposal for STAT946 (Deep Learning) final projects Fall 2015 (09:46, 30 August 2017)
- stat946f15 (09:46, 30 August 2017)
- overfeat: integrated recognition, localization and detection using convolutional networks (09:46, 30 August 2017)
- goingDeeperWithConvolutions (09:46, 30 August 2017)
- parsing natural scenes and natural language with recursive neural networks (09:46, 30 August 2017)
- human-level control through deep reinforcement learning (09:46, 30 August 2017)
- learning Hierarchical Features for Scene Labeling (09:46, 30 August 2017)
- deep Sparse Rectifier Neural Networks (09:46, 30 August 2017)
- deep neural networks for acoustic modeling in speech recognition (09:46, 30 August 2017)
- stat946f15/Deep neural networks for acoustic modeling in speech recognition (09:46, 30 August 2017)
- dropout (09:46, 30 August 2017)
- deepGenerativeModels (09:46, 30 August 2017)
- learning2reasoning (09:46, 30 August 2017)
- neural Machine Translation: Jointly Learning to Align and Translate (09:46, 30 August 2017)
- show, Attend and Tell: Neural Image Caption Generation with Visual Attention (09:46, 30 August 2017)
- neural Turing Machines (09:46, 30 August 2017)
- imageNet Classification with Deep Convolutional Neural Networks (09:46, 30 August 2017)
- natural language processing (almost) from scratch. (09:46, 30 August 2017)
- from Machine Learning to Machine Reasoning (09:46, 30 August 2017)
- question Answering with Subgraph Embeddings (09:46, 30 August 2017)
- joint training of a convolutional network and a graphical model for human pose estimation (09:46, 30 August 2017)
- genetics (09:46, 30 August 2017)
- memory Networks (09:46, 30 August 2017)
- deep Convolutional Neural Networks For LVCSR (09:46, 30 August 2017)
- deep Learning of the tissue-regulated splicing code (09:46, 30 August 2017)
- learning Phrase Representations (09:46, 30 August 2017)
- scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines (09:46, 30 August 2017)
- deep Generative Stochastic Networks Trainable by Backprop (09:46, 30 August 2017)
- the Wake-Sleep Algorithm for Unsupervised Neural Networks (09:46, 30 August 2017)
- very Deep Convoloutional Networks for Large-Scale Image Recognition (09:46, 30 August 2017)
- extracting and Composing Robust Features with Denoising Autoencoders (09:46, 30 August 2017)
- generating text with recurrent neural networks (09:46, 30 August 2017)
- learning Long-Range Vision for Autonomous Off-Road Driving (09:46, 30 August 2017)
- continuous space language models (09:46, 30 August 2017)
- on the Number of Linear Regions of Deep Neural Networks (09:46, 30 August 2017)
- the Manifold Tangent Classifier (09:46, 30 August 2017)
- learning Convolutional Feature Hierarchies for Visual Recognition (09:46, 30 August 2017)
- distributed Representations of Words and Phrases and their Compositionality (09:46, 30 August 2017)
- a fast learning algorithm for deep belief nets (09:46, 30 August 2017)
- the loss surfaces of multilayer networks (Choromanska et al.) (09:46, 30 August 2017)
- learning Fast Approximations of Sparse Coding (09:46, 30 August 2017)
- deep Neural Nets as a Method for Quantitative Structure–Activity Relationships (09:46, 30 August 2017)
- on using very large target vocabulary for neural machine translation (09:46, 30 August 2017)
- strategies for Training Large Scale Neural Network Language Models (09:46, 30 August 2017)
- semi-supervised Learning with Deep Generative Models (09:46, 30 August 2017)
- on the difficulty of training recurrent neural networks (09:46, 30 August 2017)
- mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION (09:46, 30 August 2017)
- stat946f17 (23:10, 25 September 2017)
- Deep Transfer Learning with Joint Adaptation Networks (15:32, 2 October 2017)
- Proposal for STAT946 (Deep Learning) final projects Fall 2017 (12:54, 3 October 2017)
- Curiosity-driven Exploration by Self-supervised Prediction (12:07, 26 October 2017)
- Hash Embeddings for Efficient Word Representations (19:44, 26 October 2017)
- STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN (10:58, 28 October 2017)
- STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow (03:56, 29 October 2017)
- Understanding the Effective Receptive Field in Deep Convolutional Neural Networks (15:12, 7 November 2017)
- STAT946F17/ Dance Dance Convolution (14:50, 24 November 2017)
- Hierarchical Question-Image Co-Attention for Visual Question Answering (19:50, 28 November 2017)
- Universal Style Transfer via Feature Transforms (20:10, 28 November 2017)
- LightRNN: Memory and Computation-Efficient Recurrent Neural Networks (20:18, 28 November 2017)
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier (20:21, 28 November 2017)
- Imagination-Augmented Agents for Deep Reinforcement Learning (20:24, 28 November 2017)
- STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study (20:30, 28 November 2017)
- Convolutional Sequence to Sequence Learning (20:37, 28 November 2017)
- meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting (20:40, 28 November 2017)
- When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary (20:45, 28 November 2017)
- Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition (13:19, 30 November 2017)
- STAT946F17/ Automated Curriculum Learning for Neural Networks (14:37, 30 November 2017)
- STAT946F17/Decoding with Value Networks for Neural Machine Translation (00:09, 3 December 2017)
- Learning the Number of Neurons in Deep Networks (01:20, 3 December 2017)
- FeUdal Networks for Hierarchical Reinforcement Learning (01:59, 3 December 2017)
- Deep Exploration via Bootstrapped DQN (14:17, 3 December 2017)
- Modular Multitask Reinforcement Learning with Policy Sketches (14:25, 3 December 2017)
- Unsupervised Domain Adaptation with Residual Transfer Networks (10:07, 4 December 2017)
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (10:18, 4 December 2017)
- Conditional Image Synthesis with Auxiliary Classifier GANs (10:24, 4 December 2017)
- STAT946F17/ Learning Important Features Through Propagating Activation Differences (10:26, 4 December 2017)
- STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback (10:33, 4 December 2017)
- Learning What and Where to Draw (12:35, 4 December 2017)
- STAT946F17/Conditional Image Generation with PixelCNN Decoders (12:47, 4 December 2017)
- Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition (15:00, 4 December 2017)
- STAT946F17/ Coupled GAN (15:02, 4 December 2017)
- stat946f15/Sequence to sequence learning with neural networks (19:49, 5 February 2018)
- stat946w18/Spectral (17:51, 22 February 2018)
- Breaking the Softmax Bottleneck: A High-Rank RNN Language Model (22:22, 23 February 2018)
- stat946w18/ (22:53, 28 February 2018)
- stat441w18/summary 1 (12:51, 7 March 2018)
- Imagination Augmented Agents for Deep Reinforcement Learning (20:39, 9 March 2018)
- stat441w18/Convolutional Neural Networks for Sentence Classification (03:15, 13 March 2018)
- stat441w18/e-gan (22:00, 14 March 2018)
- stat441w18/A New Method of Region Embedding for Text Classification (12:42, 15 March 2018)
- stat441w18/mastering-chess-and-shogi-self-play (13:58, 15 March 2018)
- summary (17:34, 18 March 2018)
- stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction (22:03, 19 March 2018)
- A Knowledge-Grounded Neural Conversation Model (13:09, 20 March 2018)
- stat441w18/Saliency-based Sequential Image Attention with Multiset Prediction (14:09, 20 March 2018)
- Dynamic Routing Between Capsulesl (19:54, 20 March 2018)
- Learning Combinatorial Optimzation (23:37, 20 March 2018)
- Bag of Tricks for Efficient Text Classification (22:32, 27 March 2018)
- Generating Image Descriptions (10:58, 29 March 2018)
- Dynamic Routing Between Capsules (12:36, 29 March 2018)
- One pixel attack for fooling deep neural networks (23:54, 30 March 2018)
- Robust Imitation of Diverse Behaviors (01:17, 7 April 2018)
- stat946w18/Spectral normalization for generative adversial network (10:31, 18 April 2018)
- stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data (15:01, 18 April 2018)
- Word translation without parallel data (17:24, 18 April 2018)
- Understanding Image Motion with Group Representations (16:09, 20 April 2018)
- On The Convergence Of ADAM And Beyond (16:54, 20 April 2018)
- Training And Inference with Integers in Deep Neural Networks (21:23, 20 April 2018)
- stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only (21:29, 20 April 2018)
- A Neural Representation of Sketch Drawings (21:48, 20 April 2018)
- stat946w18/AmbientGAN: Generative Models from Lossy Measurements (22:25, 20 April 2018)
- Dynamic Routing Between Capsules STAT946 (22:40, 20 April 2018)
- MarrNet: 3D Shape Reconstruction via 2.5D Sketches (22:42, 20 April 2018)
- Multi-scale Dense Networks for Resource Efficient Image Classification (22:45, 20 April 2018)
- stat946w18/Tensorized LSTMs (22:50, 20 April 2018)
- Spherical CNNs (22:53, 20 April 2018)
- Wavelet Pooling CNN (22:57, 20 April 2018)
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (22:59, 20 April 2018)
- End-to-End Differentiable Adversarial Imitation Learning (23:00, 20 April 2018)
- stat946w18/Self Normalizing Neural Networks (23:26, 20 April 2018)
- stat946w18/Implicit Causal Models for Genome-wide Association Studies (23:52, 20 April 2018)
- Label-Free Supervision of Neural Networks with Physics and Domain Knowledge (00:04, 21 April 2018)
- Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments (00:12, 21 April 2018)
- stat946w18/MaskRNN: Instance Level Video Object Segmentation (00:15, 21 April 2018)
- stat946w18/Synthetic and natural noise both break neural machine translation (00:15, 21 April 2018)
- stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers (00:18, 21 April 2018)
- Neural Audio Synthesis of Musical Notes with WaveNet autoencoders (00:19, 21 April 2018)
- Do Deep Neural Networks Suffer from Crowding (00:21, 21 April 2018)
- stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT (00:23, 21 April 2018)
- One-Shot Imitation Learning (00:27, 21 April 2018)
- Wasserstein Auto-Encoders (22:25, 25 April 2018)
- stat441w18 (18:02, 31 August 2018)
- f15Stat946PaperSignUp (13:01, 16 October 2018)
- stat946w18/Hierarchical Representations for Efficient Architecture Search (13:41, 16 October 2018)
- stat841F18/ (17:50, 9 November 2018)
- Memory-Based Parameter Adaptation (23:48, 9 November 2018)
- Convolutional Neural Networks for Sentence Classification (22:49, 13 November 2018)
- Summary - A Neural Representation of Sketch Drawings (01:32, 14 November 2018)
- stat441F18/TCNLM (23:45, 14 November 2018)
- Robust Probabilistic Modeling with Bayesian Data Reweighting (02:35, 19 November 2018)
- stat946w18 (18:05, 19 November 2018)
- Unsupervised Machine Translation Using Monolingual Corpora Only (22:48, 19 November 2018)
- stat441F18/YOLO (16:04, 20 November 2018)
- Representations of Words and Phrases and their Compositionality (13:24, 21 November 2018)
- Gradient Episodic Memory for Continual Learning (13:34, 21 November 2018)
- Deep Residual Learning for Image Recognition (14:42, 22 November 2018)
- Towards Deep Learning Models Resistant to Adversarial Attacks (03:01, 23 November 2018)
- Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness (17:26, 26 November 2018)
- A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques (14:03, 27 November 2018)
- Batch Normalization Summary (02:07, 28 November 2018)
- XGBoost: A Scalable Tree Boosting System (18:07, 28 November 2018)
- Batch Normalization (21:10, 28 November 2018)
- stat946F18 (03:22, 2 December 2018)
- Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples (17:54, 6 December 2018)
- Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction (21:21, 6 December 2018)
- Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling (18:39, 10 December 2018)
- Wasserstein Auto-encoders (19:25, 10 December 2018)
- stat946w18/Towards Image Understanding From Deep Compression Without Decoding (20:18, 10 December 2018)
- A Bayesian Perspective on Generalization and Stochastic Gradient Descent (20:32, 10 December 2018)
- Reinforcement Learning of Theorem Proving (20:45, 10 December 2018)
- Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin (20:52, 10 December 2018)
- Hierarchical Representations for Efficient Architecture Search (12:53, 11 December 2018)
- stat946w18/Wavelet Pooling For Convolutional Neural Networks (20:50, 11 December 2018)
- Co-Teaching (21:02, 11 December 2018)
- Visual Reinforcement Learning with Imagined Goals (21:47, 11 December 2018)
- F18-STAT841-Proposal (14:41, 13 December 2018)
- MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION (00:34, 14 December 2018)
- DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS (01:08, 14 December 2018)
- stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series (10:13, 14 December 2018)
- F18-STAT946-Proposal (15:50, 14 December 2018)
- DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering (17:49, 14 December 2018)
- Searching For Efficient Multi Scale Architectures For Dense Image Prediction (18:12, 14 December 2018)
- Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias (18:21, 14 December 2018)
- stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs (18:21, 16 December 2018)
- Pixels to Graphs by Associative Embedding (18:26, 16 December 2018)
- End to end Active Object Tracking via Reinforcement Learning (18:27, 16 December 2018)
- stat946F18/differentiableplasticity (18:28, 16 December 2018)
- DeepVO Towards end to end visual odometry with deep RNN (18:30, 16 December 2018)
- Synthesizing Programs for Images usingReinforced Adversarial Learning (18:31, 16 December 2018)
- Learning to Teach (18:40, 16 December 2018)
- Annotating Object Instances with a Polygon RNN (18:41, 16 December 2018)
- Zero-Shot Visual Imitation (18:42, 16 December 2018)
- Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data (18:43, 16 December 2018)
- Countering Adversarial Images Using Input Transformations (18:45, 16 December 2018)
- Learning to Navigate in Cities Without a Map (00:24, 17 December 2018)
- conditional neural process (00:26, 17 December 2018)
- Unsupervised Neural Machine Translation (00:28, 17 December 2018)
- policy optimization with demonstrations (00:32, 17 December 2018)
- ShakeDrop Regularization (00:34, 17 December 2018)
- CapsuleNets (00:36, 17 December 2018)
- Fix your classifier: the marginal value of training the last weight layer (00:39, 17 December 2018)
- a neural representation of sketch drawings (00:40, 17 December 2018)
- Fairness Without Demographics in Repeated Loss Minimization (00:42, 17 December 2018)
- DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE (13:28, 17 December 2018)
- learn what not to learn (13:38, 17 December 2018)
- stat441F18 (11:33, 5 September 2020)
- f11Stat841presentation (12:49, 6 October 2020)
- f11Stat841proposal (14:56, 11 October 2020)
- stat946F20/GradientLess Descent (16:17, 31 October 2020)
- ALBERT (11:44, 2 November 2020)
- Meta-Learning-For-Domain Generalization (15:47, 9 November 2020)
- Task Understanding from Confushing Multitask Data (19:25, 15 November 2020)
- Influenza Forecasting Framework based on Gaussian processes Summary (00:02, 16 November 2020)
- Pre-Training-Tasks-For-Embedding-Based-Large-Scale-Retrieval (19:52, 17 November 2020)
- stat841f11 (12:30, 18 November 2020)
- f17Stat946PaperSignUp (19:28, 19 November 2020)
- ModelFramework.jpg (13:14, 24 November 2020)
- Improving neural networks by preventing co-adaption of feature detectors 2020 Fall (22:41, 26 November 2020)
- time-series-using-GAN (21:02, 1 December 2020)
- From Variational to Deterministic Autoencoders (19:11, 2 December 2020)
- Streaming Bayesian Inference for Crowdsourced Classification (23:20, 4 December 2020)
- IPBoost (00:18, 5 December 2020)
- Semantic Relation Classification——via Convolution Neural Network (21:25, 5 December 2020)
- Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates (06:58, 6 December 2020)
- Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations (15:51, 6 December 2020)
- SuperGLUE (16:58, 6 December 2020)
- THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS (17:02, 6 December 2020)
- Adversarial Fisher Vectors for Unsupervised Representation Learning (17:50, 6 December 2020)
- Augmix: New Data Augmentation method to increase the robustness of the algorithm (18:44, 6 December 2020)
- Learning The Difference That Makes A Difference With Counterfactually-Augmented Data (19:42, 6 December 2020)
- One-Shot Object Detection with Co-Attention and Co-Excitation (21:53, 6 December 2020)
- what game are we playing (23:55, 6 December 2020)
- Going Deeper with Convolutions (00:29, 7 December 2020)
- Meta-Learning For Domain Generalization (00:41, 7 December 2020)
- a fair comparison of graph neural networks for graph classification (00:54, 7 December 2020)
- Influenza Forecasting Framework based on Gaussian Processes (14:13, 7 December 2020)
- Neural ODEs (15:01, 7 December 2020)
- Adversarial Attacks on Copyright Detection Systems (15:03, 7 December 2020)
- Task Understanding from Confusing Multi-task Data (15:35, 7 December 2020)
- Graph Structure of Neural Networks (17:06, 7 December 2020)
- Extreme Multi-label Text Classification (22:04, 7 December 2020)
- Mask RCNN (22:37, 7 December 2020)
- Dense Passage Retrieval for Open-Domain Question Answering (22:57, 7 December 2020)
- Functional regularisation for continual learning with gaussian processes (23:25, 7 December 2020)
- orthogonal gradient descent for continual learning (23:30, 7 December 2020)
- Superhuman AI for Multiplayer Poker (00:06, 8 December 2020)
- Adacompress: Adaptive compression for online computer vision services (00:07, 8 December 2020)
- Summary for survey of neural networked-based cancer prediction models from microarray data (00:08, 8 December 2020)
- ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (21:39, 9 December 2020)
- GradientLess Descent (22:06, 9 December 2020)
- This Looks Like That: Deep Learning for Interpretable Image Recognition (23:36, 9 December 2020)
- The Curious Case of Degeneration (05:41, 10 December 2020)
- DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION (06:07, 10 December 2020)
- STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (06:36, 10 December 2020)
- Pre-Training Tasks For Embedding-Based Large-Scale Retrieval (22:17, 12 December 2020)
- Self-Supervised Learning of Pretext-Invariant Representations (23:02, 12 December 2020)
- CRITICAL ANALYSIS OF SELF-SUPERVISION (00:08, 13 December 2020)
- Time-series Generative Adversarial Networks (00:28, 13 December 2020)
- Roberta (00:54, 13 December 2020)
- BERTScore: Evaluating Text Generation with BERT (01:32, 13 December 2020)
- When Does Self-Supervision Improve Few-Shot Learning? (01:46, 13 December 2020)
- Model Agnostic Learning of Semantic Features (01:58, 13 December 2020)
- Surround Vehicle Motion Prediction (23:12, 14 December 2020)
- Evaluating Machine Accuracy on ImageNet (00:08, 15 December 2020)
- Speech2Face: Learning the Face Behind a Voice (03:36, 15 December 2020)
- Research Papers Classification System (04:18, 15 December 2020)
- Describtion of Text Mining (05:11, 15 December 2020)
- Improving neural networks by preventing co-adaption of feature detectors (05:51, 15 December 2020)
- Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms (07:19, 15 December 2020)
- Loss Function Search for Face Recognition (09:51, 15 December 2020)
- Being Bayesian about Categorical Probability (10:57, 15 December 2020)
- Efficient kNN Classification with Different Numbers of Nearest Neighbors (03:46, 16 December 2020)
- A universal SNP and small-indel variant caller using deep neural networks (04:24, 16 December 2020)
- Music Recommender System Based using CRNN (04:38, 16 December 2020)
- Neural Speed Reading via Skim-RNN (05:09, 16 December 2020)
- Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence (05:15, 16 December 2020)
- main Page (22:53, 5 September 2021)
- Don't Just Blame Over-parametrization Summary (23:54, 9 November 2021)
- Another look at distance-weighted discrimination (03:02, 13 November 2021)
- Deep Learning for Extreme Multi-label Text Classification (21:50, 13 November 2021)
- Depthwise Convolution Is All You Need for Learning Multiple Visual Domains (00:44, 14 November 2021)
- The Detection of Black Ice Accidents Using CNNs (15:54, 14 November 2021)
- Don't Just Blame Over-parametrization (19:11, 15 November 2021)
- Do Vision Transformers See Like CNN (00:11, 17 November 2021)
- Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification (14:07, 19 November 2021)
- Predicting Hurricane Trajectories Using a Recurrent Neural Network (09:46, 20 November 2021)
- Deep Double Descent Where Bigger Models and More Data Hurt (21:29, 20 November 2021)
- Dialog-based Language Learning (13:59, 21 November 2021)
- Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases (14:56, 21 November 2021)
- Bsodjahi (13:46, 22 November 2021)
- Summary of A Probabilistic Approach to Neural Network Pruning (00:30, 23 November 2021)
- Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree (01:45, 23 November 2021)
- CatBoost: unbiased boosting with categorical features (02:36, 23 November 2021)
- Automatic Bank Fraud Detection Using Support Vector Machines (19:07, 24 November 2021)
- A Game Theoretic Approach to Class-wise Selective Rationalization (13:14, 25 November 2021)
- U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary (01:41, 26 November 2021)
- test (17:39, 26 November 2021)
- Poison Frogs Neural Networks (18:29, 26 November 2021)
- Robust Imitation Learning from Noisy Demonstrations (19:23, 27 November 2021)
- Wide and Deep Learning for Recommender Systems (04:28, 1 December 2021)
- stat441F21 (04:28, 1 December 2021)
- stat940F21 (23:29, 1 December 2021)
- Deep Residual Learning for Image Recognition Summary (12:01, 3 December 2021)
- XGBoost (02:21, 5 December 2021)
- F21-STAT 940-Proposal (12:50, 16 December 2021)
- Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network (18:44, 17 December 2021)
- F21-STAT 441/841 CM 763-Proposal (09:48, 22 December 2021)
- Bayesian Network as a Decision Tool for Predicting ALS Disease (10:31, 17 May 2022)
