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Showing below up to 180 results in range #251 to #430.
- (hist) on the difficulty of training recurrent neural networks [17,840 bytes]
- (hist) Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence [17,860 bytes]
- (hist) incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains(Summary) [18,023 bytes]
- (hist) stat946w18/IMPROVING GANS USING OPTIMAL TRANSPORT [18,063 bytes]
- (hist) Neural Audio Synthesis of Musical Notes with WaveNet autoencoders [18,174 bytes]
- (hist) Synthesizing Programs for Images usingReinforced Adversarial Learning [18,187 bytes]
- (hist) compressive Sensing [18,248 bytes]
- (hist) probabilistic Matrix Factorization [18,287 bytes]
- (hist) IPBoost [18,321 bytes]
- (hist) generating text with recurrent neural networks [18,394 bytes]
- (hist) Multi-scale Dense Networks for Resource Efficient Image Classification [18,397 bytes]
- (hist) A universal SNP and small-indel variant caller using deep neural networks [18,624 bytes]
- (hist) stat441F18/TCNLM [18,699 bytes]
- (hist) markov Random Fields for Super-Resolution [18,723 bytes]
- (hist) Learning What and Where to Draw [18,801 bytes]
- (hist) learning Hierarchical Features for Scene Labeling [18,813 bytes]
- (hist) Predicting Floor Level For 911 Calls with Neural Network and Smartphone Sensor Data [18,868 bytes]
- (hist) Understanding Image Motion with Group Representations [18,990 bytes]
- (hist) distributed Representations of Words and Phrases and their Compositionality [19,031 bytes]
- (hist) stat946w18/AmbientGAN: Generative Models from Lossy Measurements [19,101 bytes]
- (hist) Deep Double Descent Where Bigger Models and More Data Hurt [19,133 bytes]
- (hist) Deep Residual Learning for Image Recognition [19,366 bytes]
- (hist) PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space [19,470 bytes]
- (hist) Do Deep Neural Networks Suffer from Crowding [19,524 bytes]
- (hist) stat441F18/YOLO [19,690 bytes]
- (hist) overfeat: integrated recognition, localization and detection using convolutional networks [19,798 bytes]
- (hist) visualizing Data using t-SNE [19,850 bytes]
- (hist) learning Long-Range Vision for Autonomous Off-Road Driving [20,000 bytes]
- (hist) Mask RCNN [20,099 bytes]
- (hist) Robust Imitation of Diverse Behaviors [20,150 bytes]
- (hist) deflation Methods for Sparse PCA [20,218 bytes]
- (hist) a Direct Formulation For Sparse PCA Using Semidefinite Programming [20,257 bytes]
- (hist) Reinforcement Learning of Theorem Proving [20,271 bytes]
- (hist) Self-Supervised Learning of Pretext-Invariant Representations [20,351 bytes]
- (hist) F18-STAT841-Proposal [20,352 bytes]
- (hist) Fairness Without Demographics in Repeated Loss Minimization [20,361 bytes]
- (hist) learning a Nonlinear Embedding by Preserving Class Neighborhood Structure [20,705 bytes]
- (hist) Training And Inference with Integers in Deep Neural Networks [20,739 bytes]
- (hist) One-Shot Imitation Learning [20,785 bytes]
- (hist) meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting [20,964 bytes]
- (hist) FeUdal Networks for Hierarchical Reinforcement Learning [20,969 bytes]
- (hist) Time-series Generative Adversarial Networks [21,169 bytes]
- (hist) Wasserstein Auto-Encoders [21,197 bytes]
- (hist) Annotating Object Instances with a Polygon RNN [21,235 bytes]
- (hist) probabilistic PCA with GPLVM [21,275 bytes]
- (hist) XGBoost [21,275 bytes]
- (hist) stat946w18/MaskRNN: Instance Level Video Object Segmentation [21,296 bytes]
- (hist) Searching For Efficient Multi Scale Architectures For Dense Image Prediction [21,363 bytes]
- (hist) Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition [21,366 bytes]
- (hist) Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms [21,399 bytes]
- (hist) ShakeDrop Regularization [21,454 bytes]
- (hist) DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS [21,484 bytes]
- (hist) Learning to Teach [21,503 bytes]
- (hist) Label-Free Supervision of Neural Networks with Physics and Domain Knowledge [21,530 bytes]
- (hist) Generating Image Descriptions [21,640 bytes]
- (hist) A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques [21,774 bytes]
- (hist) relevant Component Analysis [21,795 bytes]
- (hist) MarrNet: 3D Shape Reconstruction via 2.5D Sketches [21,822 bytes]
- (hist) supervised Dictionary Learning [21,847 bytes]
- (hist) from Machine Learning to Machine Reasoning [21,916 bytes]
- (hist) stat441w18/Convolutional Neural Networks for Sentence Classification [21,916 bytes]
- (hist) Dynamic Routing Between Capsules STAT946 [22,076 bytes]
- (hist) learning Fast Approximations of Sparse Coding [22,149 bytes]
- (hist) Pre-Training Tasks For Embedding-Based Large-Scale Retrieval [22,307 bytes]
- (hist) Adversarial Fisher Vectors for Unsupervised Representation Learning [22,378 bytes]
- (hist) the Manifold Tangent Classifier [22,426 bytes]
- (hist) One-Shot Object Detection with Co-Attention and Co-Excitation [22,512 bytes]
- (hist) optimal Solutions forSparse Principal Component Analysis [22,557 bytes]
- (hist) A Neural Representation of Sketch Drawings [22,571 bytes]
- (hist) STAT946F17/Decoding with Value Networks for Neural Machine Translation [22,662 bytes]
- (hist) STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study [22,797 bytes]
- (hist) convex and Semi Nonnegative Matrix Factorization [23,247 bytes]
- (hist) Adversarial Attacks on Copyright Detection Systems [23,347 bytes]
- (hist) compressed Sensing Reconstruction via Belief Propagation [23,435 bytes]
- (hist) Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations [23,595 bytes]
- (hist) stat946f15/Sequence to sequence learning with neural networks [23,722 bytes]
- (hist) stat946w18/Spectral [23,722 bytes]
- (hist) Breaking the Softmax Bottleneck: A High-Rank RNN Language Model [23,722 bytes]
- (hist) When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary [23,758 bytes]
- (hist) STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback [23,815 bytes]
- (hist) memory Networks [23,850 bytes]
- (hist) Efficient kNN Classification with Different Numbers of Nearest Neighbors [23,936 bytes]
- (hist) Spherical CNNs [23,995 bytes]
- (hist) deep neural networks for acoustic modeling in speech recognition [24,099 bytes]
- (hist) Word translation without parallel data [24,363 bytes]
- (hist) a New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization [24,469 bytes]
- (hist) uncovering Shared Structures in Multiclass Classification [24,508 bytes]
- (hist) DCN plus: Mixed Objective And Deep Residual Coattention for Question Answering [24,627 bytes]
- (hist) End-to-End Differentiable Adversarial Imitation Learning [24,839 bytes]
- (hist) Graph Structure of Neural Networks [24,857 bytes]
- (hist) Neural ODEs [24,911 bytes]
- (hist) MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION [24,968 bytes]
- (hist) consistency of Trace Norm Minimization [24,984 bytes]
- (hist) Learning the Number of Neurons in Deep Networks [25,059 bytes]
- (hist) stat946w18/Tensorized LSTMs [25,187 bytes]
- (hist) graves et al., Speech recognition with deep recurrent neural networks [25,222 bytes]
- (hist) Universal Style Transfer via Feature Transforms [25,427 bytes]
- (hist) Summary - A Neural Representation of Sketch Drawings [25,539 bytes]
- (hist) human-level control through deep reinforcement learning [25,775 bytes]
- (hist) Summary for survey of neural networked-based cancer prediction models from microarray data [25,813 bytes]
- (hist) what game are we playing [25,901 bytes]
- (hist) Dialog-based Language Learning [26,148 bytes]
- (hist) stat946w18/Wavelet Pooling For Convolutional Neural Networks [26,185 bytes]
- (hist) Visual Reinforcement Learning with Imagined Goals [26,330 bytes]
- (hist) Music Recommender System Based using CRNN [26,359 bytes]
- (hist) Superhuman AI for Multiplayer Poker [26,382 bytes]
- (hist) f10 Stat841 digest [26,540 bytes]
- (hist) regression on Manifold using Kernel Dimension Reduction [26,560 bytes]
- (hist) Loss Function Search for Face Recognition [26,747 bytes]
- (hist) Functional regularisation for continual learning with gaussian processes [26,792 bytes]
- (hist) Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias [26,820 bytes]
- (hist) f11Stat841proposal [26,834 bytes]
- (hist) Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks [26,931 bytes]
- (hist) STAT946F17/ Learning a Probabilistic Latent Space of Object Shapes via 3D GAN [27,054 bytes]
- (hist) Understanding the Effective Receptive Field in Deep Convolutional Neural Networks [27,163 bytes]
- (hist) Convolutional Sequence to Sequence Learning [27,188 bytes]
- (hist) Adacompress: Adaptive compression for online computer vision services [27,197 bytes]
- (hist) Obfuscated Gradients Give a False Sense of Security Circumventing Defenses to Adversarial Examples [27,233 bytes]
- (hist) measuring Statistical Dependence with Hilbert-Schmidt Norm [27,247 bytes]
- (hist) Neural Speed Reading via Skim-RNN [27,299 bytes]
- (hist) DON'T DECAY THE LEARNING RATE , INCREASE THE BATCH SIZE [27,357 bytes]
- (hist) stat946F18/differentiableplasticity [27,749 bytes]
- (hist) Research Papers Classification System [27,978 bytes]
- (hist) Task Understanding from Confusing Multi-task Data [27,980 bytes]
- (hist) Hierarchical Question-Image Co-Attention for Visual Question Answering [28,143 bytes]
- (hist) proposal Fall 2010 [28,170 bytes]
- (hist) Summary of A Probabilistic Approach to Neural Network Pruning [28,196 bytes]
- (hist) LightRNN: Memory and Computation-Efficient Recurrent Neural Networks [28,750 bytes]
- (hist) Learning to Navigate in Cities Without a Map [28,789 bytes]
- (hist) Unsupervised Neural Machine Translation [28,860 bytes]
- (hist) stat946w18/Unsupervised Machine Translation Using Monolingual Corpora Only [29,141 bytes]
- (hist) Imagination-Augmented Agents for Deep Reinforcement Learning [29,197 bytes]
- (hist) End to end Active Object Tracking via Reinforcement Learning [29,206 bytes]
- (hist) Evaluating Machine Accuracy on ImageNet [29,340 bytes]
- (hist) Surround Vehicle Motion Prediction [29,510 bytes]
- (hist) Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction [29,570 bytes]
- (hist) stat946w18/Towards Image Understanding From Deep Compression Without Decoding [29,622 bytes]
- (hist) STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow [29,726 bytes]
- (hist) Being Bayesian about Categorical Probability [29,729 bytes]
- (hist) learn what not to learn [29,756 bytes]
- (hist) Improving neural networks by preventing co-adaption of feature detectors [29,831 bytes]
- (hist) stat946s13 [29,960 bytes]
- (hist) stat946F18/Autoregressive Convolutional Neural Networks for Asynchronous Time Series [30,150 bytes]
- (hist) policy optimization with demonstrations [30,482 bytes]
- (hist) Hierarchical Representations for Efficient Architecture Search [30,885 bytes]
- (hist) a neural representation of sketch drawings [30,956 bytes]
- (hist) a Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis [30,961 bytes]
- (hist) Wasserstein Auto-encoders [31,206 bytes]
- (hist) stat946F18/Beyond Word Importance Contextual Decomposition to Extract Interactions from LSTMs [31,451 bytes]
- (hist) Describtion of Text Mining [31,794 bytes]
- (hist) Zero-Shot Visual Imitation [32,008 bytes]
- (hist) STAT946F17/Conditional Image Generation with PixelCNN Decoders [32,183 bytes]
- (hist) conditional neural process [32,432 bytes]
- (hist) Countering Adversarial Images Using Input Transformations [32,471 bytes]
- (hist) Speech2Face: Learning the Face Behind a Voice [32,521 bytes]
- (hist) Modular Multitask Reinforcement Learning with Policy Sketches [33,079 bytes]
- (hist) CapsuleNets [33,214 bytes]
- (hist) STAT946F17/ Coupled GAN [33,229 bytes]
- (hist) Bag of Tricks for Efficient Text Classification [33,269 bytes]
- (hist) stat441w18/Image Question Answering using CNN with Dynamic Parameter Prediction [33,275 bytes]
- (hist) Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin [33,286 bytes]
- (hist) Conditional Image Synthesis with Auxiliary Classifier GANs [33,874 bytes]
- (hist) Deep Exploration via Bootstrapped DQN [34,007 bytes]
- (hist) A Bayesian Perspective on Generalization and Stochastic Gradient Descent [34,398 bytes]
- (hist) Fix your classifier: the marginal value of training the last weight layer [34,606 bytes]
- (hist) Deep Reinforcement Learning in Continuous Action Spaces a Case Study in the Game of Simulated Curling [35,425 bytes]
- (hist) learning Spectral Clustering, With Application To Speech Separation [36,091 bytes]
- (hist) Unsupervised Domain Adaptation with Residual Transfer Networks [36,210 bytes]
- (hist) "Why Should I Trust You?": Explaining the Predictions of Any Classifier [36,591 bytes]
- (hist) stat946w18/Self Normalizing Neural Networks [45,815 bytes]
- (hist) stat946f10 [66,385 bytes]
- (hist) stat946f11pool [102,729 bytes]
- (hist) stat341f11 [142,275 bytes]
- (hist) stat341 / CM 361 [148,325 bytes]
- (hist) stat946f11 [165,919 bytes]
- (hist) stat841f14 [225,028 bytes]
- (hist) stat841 [269,557 bytes]
- (hist) stat841f11 [321,746 bytes]
- (hist) stat340s13 [378,992 bytes]
- (hist) stat841f10 [462,045 bytes]