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Showing below up to 100 results in range #251 to #350.
- 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)