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Showing below up to 250 results in range #101 to #350.
- very Deep Convoloutional Networks for Large-Scale Image Recognition (24 revisions)
- context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (24 revisions)
- imageNet Classification with Deep Convolutional Neural Networks (25 revisions)
- paper Summaries (25 revisions)
- Learning The Difference That Makes A Difference With Counterfactually-Augmented Data (25 revisions)
- dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces (25 revisions)
- Dynamic Routing Between Capsulesl (26 revisions)
- proposal for STAT946 (Deep Learning) final projects Fall 2015 (26 revisions)
- The Detection of Black Ice Accidents Using CNNs (26 revisions)
- neural Machine Translation: Jointly Learning to Align and Translate (27 revisions)
- learning Long-Range Vision for Autonomous Off-Road Driving (27 revisions)
- A Knowledge-Grounded Neural Conversation Model (28 revisions)
- Depthwise Convolution Is All You Need for Learning Multiple Visual Domains (28 revisions)
- genetics (29 revisions)
- deep Convolutional Neural Networks For LVCSR (29 revisions)
- deep Generative Stochastic Networks Trainable by Backprop (30 revisions)
- DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering (30 revisions)
- metric and Kernel Learning Using a Linear Transformation (30 revisions)
- Going Deeper with Convolutions (30 revisions)
- f11stat946EditorSignUp (31 revisions)
- Deep Double Descent Where Bigger Models and More Data Hurt (31 revisions)
- stat841F18/ (31 revisions)
- STAT946F17/ Automated Curriculum Learning for Neural Networks (31 revisions)
- joint training of a convolutional network and a graphical model for human pose estimation (32 revisions)
- distributed Representations of Words and Phrases and their Compositionality (32 revisions)
- contributions on Context Adaptive Training with Factorized Decision Trees for HMM-Based Speech Synthesis (32 revisions)
- compressive Sensing (Candes) (32 revisions)
- learning Phrase Representations (32 revisions)
- natural language processing (almost) from scratch. (33 revisions)
- f11Stat946ass (33 revisions)
- stat946w18/Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolutional Layers (33 revisions)
- maximum likelihood estimation of intrinsic dimension (33 revisions)
- memory Networks (34 revisions)
- schedule of Project Presentations (35 revisions)
- large-Scale Supervised Sparse Principal Component Analysis (35 revisions)
- deep Sparse Rectifier Neural Networks (35 revisions)
- Predicting Hurricane Trajectories Using a Recurrent Neural Network (35 revisions)
- dropout (35 revisions)
- positive Semidefinite Metric Learning Using Boosting-like Algorithms (35 revisions)
- Representations of Words and Phrases and their Compositionality (35 revisions)
- scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines (36 revisions)
- Automatic Bank Fraud Detection Using Support Vector Machines (36 revisions)
- statf09841Proposal (36 revisions)
- strategies for Training Large Scale Neural Network Language Models (37 revisions)
- F18-STAT946-Proposal (37 revisions)
- neural Turing Machines (37 revisions)
- graphical models for structured classification, with an application to interpreting images of protein subcellular location patterns (37 revisions)
- Training And Inference with Integers in Deep Neural Networks (38 revisions)
- kernel Dimension Reduction in Regression (38 revisions)
- Poison Frogs Neural Networks (38 revisions)
- stat946w18/Implicit Causal Models for Genome-wide Association Studies (39 revisions)
- stat441w18/e-gan (39 revisions)
- This Looks Like That: Deep Learning for Interpretable Image Recognition (40 revisions)
- Neural Audio Synthesis of Musical Notes with WaveNet autoencoders (40 revisions)
- semi-supervised Learning with Deep Generative Models (41 revisions)
- graves et al., Speech recognition with deep recurrent neural networks (41 revisions)
- STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN (41 revisions)
- show, Attend and Tell: Neural Image Caption Generation with Visual Attention (41 revisions)
- U-Time:A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Summary (41 revisions)
- an HDP-HMM for Systems with State Persistence (41 revisions)
- Co-Teaching (42 revisions)
- matrix Completion with Noise (42 revisions)
- Robust Imitation Learning from Noisy Demonstrations (42 revisions)
- Pixels to Graphs by Associative Embedding (43 revisions)
- Robust Imitation of Diverse Behaviors (43 revisions)
- proposal for STAT946 projects (43 revisions)
- parametric Local Metric Learning for Nearest Neighbor Classification (43 revisions)
- Model Agnostic Learning of Semantic Features (44 revisions)
- schedule (44 revisions)
- SuperGLUE (44 revisions)
- on the difficulty of training recurrent neural networks (45 revisions)
- continuous space language models (45 revisions)
- Do Deep Neural Networks Suffer from Crowding (45 revisions)
- hierarchical Dirichlet Processes (45 revisions)
- Augmix: New Data Augmentation method to increase the robustness of the algorithm (46 revisions)
- Streaming Bayesian Inference for Crowdsourced Classification (46 revisions)
- Label-Free Supervision of Neural Networks with Physics and Domain Knowledge (46 revisions)
- stat946w18/Self Normalizing Neural Networks (46 revisions)
- STAT946F20/BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (47 revisions)
- A Neural Representation of Sketch Drawings (47 revisions)
- End-to-End Differentiable Adversarial Imitation Learning (47 revisions)
- overfeat: integrated recognition, localization and detection using convolutional networks (47 revisions)
- Time-series Generative Adversarial Networks (47 revisions)
- Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates (48 revisions)
- THE LOGICAL EXPRESSIVENESS OF GRAPH NEURAL NETWORKS (48 revisions)
- markov Random Fields for Super-Resolution (49 revisions)
- stat441w18/mastering-chess-and-shogi-self-play (49 revisions)
- orthogonal gradient descent for continual learning (49 revisions)
- Memory-Based Parameter Adaptation (49 revisions)
- inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method (49 revisions)
- A Bayesian Perspective on Generalization and Stochastic Gradient Descent (50 revisions)
- the Indian Buffet Process: An Introduction and Review (50 revisions)
- Task Understanding from Confushing Multitask Data (50 revisions)
- statf10841Scribe (51 revisions)
- Dynamic Routing Between Capsules (51 revisions)
- parsing natural scenes and natural language with recursive neural networks (52 revisions)
- nonparametric Latent Feature Models for Link Prediction (52 revisions)
- Multi-scale Dense Networks for Resource Efficient Image Classification (52 revisions)
- paper 13 (52 revisions)
- adaptive dimension reduction for clustering high dimensional data (53 revisions)
- MarrNet: 3D Shape Reconstruction via 2.5D Sketches (53 revisions)
- Don't Just Blame Over-parametrization (53 revisions)
- Understanding Image Motion with Group Representations (54 revisions)
- GradientLess Descent (54 revisions)
- On The Convergence Of ADAM And Beyond (54 revisions)
- learning Hierarchical Features for Scene Labeling (55 revisions)
- a fair comparison of graph neural networks for graph classification (55 revisions)
- End to end Active Object Tracking via Reinforcement Learning (55 revisions)
- stat946F18/differentiableplasticity (55 revisions)
- kernelized Locality-Sensitive Hashing (56 revisions)
- sparse PCA (56 revisions)
- Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction (56 revisions)
- stat441w18/A New Method of Region Embedding for Text Classification (57 revisions)
- stat946w18/MaskRNN: Instance Level Video Object Segmentation (58 revisions)
- residual Component Analysis: Generalizing PCA for more flexible inference in linear-Gaussian models (58 revisions)
- DeepVO Towards end to end visual odometry with deep RNN (59 revisions)
- f14Stat842EditorSignUp (59 revisions)
- CatBoost: unbiased boosting with categorical features (59 revisions)
- Spherical CNNs (59 revisions)
- f11Stat841presentation (59 revisions)
- Dense Passage Retrieval for Open-Domain Question Answering (60 revisions)
- DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION (60 revisions)
- deep neural networks for acoustic modeling in speech recognition (61 revisions)
- signupformStat341F11 (61 revisions)
- STAT946F17/Conditional Image Generation with PixelCNN Decoders (61 revisions)
- stat946w18/Synthetic and natural noise both break neural machine translation (61 revisions)
- neighbourhood Components Analysis (62 revisions)
- the Wake-Sleep Algorithm for Unsupervised Neural Networks (62 revisions)
- One-Shot Imitation Learning (62 revisions)
- FeUdal Networks for Hierarchical Reinforcement Learning (63 revisions)
- contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks (64 revisions)
- Deep Exploration via Bootstrapped DQN (64 revisions)
- compressed Sensing Reconstruction via Belief Propagation (64 revisions)
- video-based face recognition using Adaptive HMM (65 revisions)
- statf09841Scribe (65 revisions)
- Wavelet Pooling CNN (66 revisions)
- proposal for STAT946 projects Fall 2010 (66 revisions)
- visualizing Data using t-SNE (66 revisions)
- Adversarial Fisher Vectors for Unsupervised Representation Learning (67 revisions)
- BERTScore: Evaluating Text Generation with BERT (67 revisions)
- Learning to Teach (67 revisions)
- stat946w18/Wavelet Pooling For Convolutional Neural Networks (67 revisions)
- A universal SNP and small-indel variant caller using deep neural networks (67 revisions)
- Extreme Multi-label Text Classification (68 revisions)
- policy optimization with demonstrations (68 revisions)
- ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (69 revisions)
- Reinforcement Learning of Theorem Proving (69 revisions)
- One-Shot Object Detection with Co-Attention and Co-Excitation (69 revisions)
- human-level control through deep reinforcement learning (69 revisions)
- goingDeeperWithConvolutions (71 revisions)
- schedule946 (71 revisions)
- stat946w18/AmbientGAN: Generative Models from Lossy Measurements (71 revisions)
- Annotating Object Instances with a Polygon RNN (71 revisions)
- Functional regularisation for continual learning with gaussian processes (72 revisions)
- Roberta (72 revisions)
- stat946f15/Sequence to sequence learning with neural networks (72 revisions)
- XGBoost: A Scalable Tree Boosting System (73 revisions)
- stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series (73 revisions)
- Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence (73 revisions)
- STAT946F17/ Learning Important Features Through Propagating Activation Differences (73 revisions)
- The Curious Case of Degeneration (73 revisions)
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (73 revisions)
- STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study (73 revisions)
- Unsupervised Domain Adaptation with Residual Transfer Networks (73 revisions)
- relevant Component Analysis (73 revisions)
- Hierarchical Representations for Efficient Architecture Search (74 revisions)
- nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization (74 revisions)
- Summary - A Neural Representation of Sketch Drawings (75 revisions)
- independent Component Analysis: algorithms and applications (75 revisions)
- Universal Style Transfer via Feature Transforms (76 revisions)
- Imagination-Augmented Agents for Deep Reinforcement Learning (76 revisions)
- stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs (76 revisions)
- f10 Stat841 digest (76 revisions)
- Meta-Learning For Domain Generalization (77 revisions)
- learning Spectral Clustering, With Application To Speech Separation (77 revisions)
- from Machine Learning to Machine Reasoning (77 revisions)
- Learning What and Where to Draw (78 revisions)
- maximum-Margin Matrix Factorization (79 revisions)
- learning a Nonlinear Embedding by Preserving Class Neighborhood Structure (80 revisions)
- Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling (80 revisions)
- Mask RCNN (81 revisions)
- f11Stat946presentation (81 revisions)
- Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition (81 revisions)
- a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis (81 revisions)
- Being Bayesian about Categorical Probability (81 revisions)
- f11Stat841proposal (82 revisions)
- Fix your classifier: the marginal value of training the last weight layer (82 revisions)
- XGBoost (83 revisions)
- Convolutional Sequence to Sequence Learning (83 revisions)
- stat441w18/summary 1 (83 revisions)
- Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness (84 revisions)
- Neural Speed Reading via Skim-RNN (84 revisions)
- STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow (85 revisions)
- Wasserstein Auto-encoders (86 revisions)
- Generating Image Descriptions (86 revisions)
- F21-STAT 940-Proposal (86 revisions)
- Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin (88 revisions)
- A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques (88 revisions)
- convex and Semi Nonnegative Matrix Factorization (88 revisions)
- graph Laplacian Regularization for Larg-Scale Semidefinite Programming (88 revisions)
- supervised Dictionary Learning (88 revisions)
- Towards Deep Learning Models Resistant to Adversarial Attacks (89 revisions)
- stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction (90 revisions)
- Evaluating Machine Accuracy on ImageNet (90 revisions)
- sign up for your presentation (91 revisions)
- Pre-Training Tasks For Embedding-Based Large-Scale Retrieval (92 revisions)
- LightRNN: Memory and Computation-Efficient Recurrent Neural Networks (92 revisions)
- a neural representation of sketch drawings (92 revisions)
- F18-STAT841-Proposal (92 revisions)
- Semantic Relation Classification——via Convolution Neural Network (92 revisions)
- stat946w18/Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data (93 revisions)
- ShakeDrop Regularization (93 revisions)
- IPBoost (93 revisions)
- Searching For Efficient Multi Scale Architectures For Dense Image Prediction (95 revisions)
- When Does Self-Supervision Improve Few-Shot Learning? (96 revisions)
- DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS (96 revisions)
- main Page (96 revisions)
- question Answering with Subgraph Embeddings (97 revisions)
- learning Fast Approximations of Sparse Coding (99 revisions)
- When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary (99 revisions)
- a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization (99 revisions)
- a Dynamic Bayesian Network Click Model for Web Search Ranking (101 revisions)
- Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias (101 revisions)
- conditional neural process (101 revisions)
- MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION (102 revisions)
- proposal Fall 2010 (103 revisions)
- One pixel attack for fooling deep neural networks (103 revisions)
- Summary for survey of neural networked-based cancer prediction models from microarray data (103 revisions)
- what game are we playing (103 revisions)
- stat441w18/Convolutional Neural Networks for Sentence Classification (104 revisions)
- a Rank Minimization Heuristic with Application to Minimum Order System Approximation (104 revisions)
- summary (104 revisions)
- Neural ODEs (104 revisions)
- regression on Manifold using Kernel Dimension Reduction (104 revisions)
- Deep Residual Learning for Image Recognition (105 revisions)
- probabilistic Matrix Factorization (106 revisions)
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier (107 revisions)
- stat946w18/Spectral normalization for generative adversial network (108 revisions)
- compressive Sensing (109 revisions)
- Unsupervised Neural Machine Translation (110 revisions)
- visualizing Similarity Data with a Mixture of Maps (110 revisions)
- a Deeper Look into Importance Sampling (111 revisions)
- self-Taught Learning (112 revisions)
- Visual Reinforcement Learning with Imagined Goals (112 revisions)
- f11Stat841EditorSignUp (113 revisions)
- Fairness Without Demographics in Repeated Loss Minimization (114 revisions)
- stat441F18 (115 revisions)
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (115 revisions)
- Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms (115 revisions)
- stat946s13 (116 revisions)