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Showing below up to 50 results in range #191 to #240.
- (hist) deep Neural Nets as a Method for Quantitative Structure–Activity Relationships [17,219 bytes]
- (hist) discLDA: Discriminative Learning for Dimensionality Reduction and Classification [17,184 bytes]
- (hist) BERTScore: Evaluating Text Generation with BERT [17,132 bytes]
- (hist) Dense Passage Retrieval for Open-Domain Question Answering [17,125 bytes]
- (hist) kernelized Locality-Sensitive Hashing [17,115 bytes]
- (hist) CatBoost: unbiased boosting with categorical features [17,013 bytes]
- (hist) When Does Self-Supervision Improve Few-Shot Learning? [16,936 bytes]
- (hist) Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition [16,892 bytes]
- (hist) stat946w18/Implicit Causal Models for Genome-wide Association Studies [16,805 bytes]
- (hist) DeepVO Towards end to end visual odometry with deep RNN [16,676 bytes]
- (hist) SuperGLUE [16,457 bytes]
- (hist) inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method [16,450 bytes]
- (hist) STAT946F17/ Automated Curriculum Learning for Neural Networks [16,391 bytes]
- (hist) stat946w18/Spectral normalization for generative adversial network [16,342 bytes]
- (hist) Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness [16,296 bytes]
- (hist) parsing natural scenes and natural language with recursive neural networks [16,235 bytes]
- (hist) kernelized Sorting [16,226 bytes]
- (hist) the Wake-Sleep Algorithm for Unsupervised Neural Networks [16,139 bytes]
- (hist) Patch Based Convolutional Neural Network for Whole Slide Tissue Image Classification [16,111 bytes]
- (hist) a fair comparison of graph neural networks for graph classification [15,982 bytes]
- (hist) neighbourhood Components Analysis [15,899 bytes]
- (hist) proposal for STAT946 projects [15,862 bytes]
- (hist) Extreme Multi-label Text Classification [15,848 bytes]
- (hist) From Variational to Deterministic Autoencoders [15,837 bytes]
- (hist) rOBPCA: A New Approach to Robust Principal Component Analysis [15,775 bytes]
- (hist) Co-Teaching [15,712 bytes]
- (hist) stat441w18/e-gan [15,651 bytes]
- (hist) statf09841Proposal [15,646 bytes]
- (hist) independent Component Analysis: algorithms and applications [15,526 bytes]
- (hist) Model Agnostic Learning of Semantic Features [15,514 bytes]
- (hist) maximum likelihood estimation of intrinsic dimension [15,392 bytes]
- (hist) orthogonal gradient descent for continual learning [15,363 bytes]
- (hist) Wavelet Pooling CNN [15,345 bytes]
- (hist) Semantic Relation Classification——via Convolution Neural Network [15,324 bytes]
- (hist) quantifying cancer progression with conjunctive Bayesian networks [15,306 bytes]
- (hist) question Answering with Subgraph Embeddings [15,293 bytes]
- (hist) continuous space language models [15,275 bytes]
- (hist) goingDeeperWithConvolutions [15,240 bytes]
- (hist) quantifying cancer progression with conjunctive Bayesian networks. [15,204 bytes]
- (hist) contributions on Quantifying Cancer Progression with Conjunctive Bayesian Networks [15,193 bytes]
- (hist) XGBoost: A Scalable Tree Boosting System [15,042 bytes]
- (hist) Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates [14,911 bytes]
- (hist) visualizing Similarity Data with a Mixture of Maps [14,886 bytes]
- (hist) Towards Deep Learning Models Resistant to Adversarial Attacks [14,812 bytes]
- (hist) Dynamic Routing Between Capsules [14,778 bytes]
- (hist) Roberta [14,722 bytes]
- (hist) extracting and Composing Robust Features with Denoising Autoencoders [14,613 bytes]
- (hist) See What Male Fleshlight Tricks The Celebs Are Utilizing [14,608 bytes]
- (hist) Meta-Learning For Domain Generalization [14,600 bytes]
- (hist) stat441w18/mastering-chess-and-shogi-self-play [14,596 bytes]