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Model-Independent Online Learning for Influence Maximization
Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, and Mark Schmidt , International Conference on Machine Learning , 2017MATLABFree
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Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph
Julie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark W. Schmidt, Hoyt A. Koepke , Uncertainty in Artificial Intelligence , 2016PythonFree
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Coordinate descent converges faster with the Gauss-Southwell rule than random selection
Julie Nutini, Mark W. Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke , International Conference on Machine Learning , 2015PythonFree
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Stop Wasting My Gradients: Practical SVRG
Reza Babanezhad, Mohamed Osama Ahmed, Alim Virani, Mark W. Schmidt, Jakub Konecný , Neural Information Processing Systems , 2015MATLABFree
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Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
Mark W. Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton , International Conference on Artificial Intelligence and Statistics , 2015MATLABFree
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Minimizing Finite Sums with the Stochastic Average Gradient
Mark W. Schmidt, Nicolas Le Roux, Francis R. Bach , Mathematical Programming , 2017MATLABFree
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Hybrid Deterministic-Stochastic Methods for Data Fitting
Michael P. Friedlander, Mark W. Schmidt , SIAM Journal on Scientific Computing , 2012MATLABFree
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On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark W. Schmidt, Shakir Mohamed, David Poole, Nando de Freitas , International Conference on Artificial Intelligence and Statistics , 2012MATLABFree
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Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark W. Schmidt, Nicolas Le Roux, Francis R. Bach , Neural Information Processing Systems , 2011MATLABFree
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Causal Learning without DAGs
David Duvenaud, Daniel Eaton, Kevin Murphy, Mark Schmidt , Neural Information Processing Systems , 2008MATLABFree
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Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm
Mark W. Schmidt, Ewout van den Berg, Michael P. Friedlander, Kevin P. Murphy , International Conference on Artificial Intelligence and Statistics , 2009MATLABFree
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Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
Mark W. Schmidt, Kevin P. Murphy , Uncertainty in Artificial Intelligence , 2009MATLABFree
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Structure Learning in Random Fields for Heart Motion Abnormality Detection
Mark W. Schmidt, Kevin P. Murphy, Glenn Fung, Rómer Rosales , Computer Vision and Pattern Recognition , 2008MATLABFree
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Learning Graphical Model Structure using L1-Regularization Paths
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy , National Conference on Artificial Intelligence , 2007MATLABFree
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Accelerated Training of Conditional Random Fields with Stochastic Gradient Methods
S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy , International Conference on Machine Learning , 2006MATLAB/CPPFree
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MASAGA: A Linearly-Convergent Stochastic First-Order Method for Optimization on Manifolds
Reza Babanezhad, Issam H. Laradji, Alireza Shafaei, Mark W. Schmidt , ECML/PKDD , 2018PytorchFree
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Does Your Model Know the Digit 6 is Not a Cat? A Less Biased Evaluation of “Outlier” Detectors
Alireza Shafaei, Mark W. Schmidt, James J. Little , ArXiv , 2018PyTorchFree
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Inferring Parameters for an Elementary Step Model of DNA Structure Kinetics with Locally Context-Dependent Arrhenius Rates
Sedigheh Zolaktaf, Frits Dannenberg, +5 authors Erik Winfree , DNA , 2017PythonFree
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Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien, Martin Jaggi, Mark W. Schmidt, Patrick Pletscher , INTERNATIONAL CONFERENCE ON MACHINE LEARNING , 2013MATLABFree
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A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets
Nicolas Le Roux, Mark W. Schmidt, Francis R. Bach , NIPS , 2012MATLABFree
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Projected Newton-type Methods in Machine Learning
Mark W. Schmidt, Dongmin Kim, Suvrit Sra , MIT Press , 2011MATLABFree
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Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials
Mark W. Schmidt, Kevin P. Murphy , AISTATS , 2010MATLABFree
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Group Sparsity via Linear-Time Projection
EWOUT, Van Den, Harmen van den Berg, Mark W. Schmidt, Michael P. Friedlander, Kevin Murphy , UBC Technical Report , 2008MATLABFree
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Fast Patch-based Style Transfer of Arbitrary Styles
Tian Qi Chen, Mark W. Schmidt , ArXiv , 2016LuaFree
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A simpler approach to obtaining an O(1/t) convergence rate for projected stochastic subgradient descent
Simon Lacoste-Julien, Mark W. Schmidt, Francis R. Bach , ARXIV: LEARNING , 2012MATLAB/CFree
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Generalized Fast Approximate Energy Minimization via Graph Cuts: Alpha-Expansion Beta-Shrink Moves
Mark W. Schmidt, Karteek Alahari École Normale Supérieure , UNCERTAINTY IN ARTIFICIAL INTELLIGENCE , 2011MATLABFree
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Fast Optimization Methods for L1-Regularization: A Comparative Study and 2 New Approaches
Mark W. Schmidt1, Glenn Fung2, Rómer Rosales2 1University of British Columbia, 2Siemens , EUROPEAN CONFERENCE ON MACHINE LEARNING , 2007MATLABFree
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machine learning
David , The 31st International Conference on Machine Learning (ICML) , 2014C++$10.00
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Unsupervised Training for 3D Morphable Model Regression
Daniel Vlasic, Aaron Maschinot, Aaron Sarna, Kyle Genova, Forrester Cole, William T. Freeman , CVPR 2018 6 , 2018PythonFree
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Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling
Prince Zizhuang Wang, William Yang Wang , NAACL 2019 6 , 2019PythonFree
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Cold-Start Aware User and Product Attention for Sentiment Classification
Jihyeok Kim, Reinald Kim Amplayo, Sua Sung, Seung-won Hwang , ACL 2018 7 , 2018PythonFree
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Towards Binary-Valued Gates for Robust LSTM Training
Fei Tian, Zhuohan Li, Wei Chen, Di He, Tie-Yan Liu, Liwei Wang, Tao Qin , ICML 2018 7 , 2018PythonFree
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Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach
Thuy-Trang Vu, Gholamreza Haffari , EMNLP 2018 10 , 2018PythonFree
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Practical Bayesian Optimization of Machine Learning Algorithms
Ryan P. Adams, Jasper Snoek, Hugo Larochelle , NeurIPS 2012 12 , 2012MultipleFree
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TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
Thomas Brox, Vladlen Koltun, Alexey Dosovitskiy, Artemij Amiranashvili , ICLR 2018 1 , 2018PythonFree
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An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks
Shuji Hao, Qianxiao Li , ICML 2018 7 , 2018MultipleFree
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Neural Network Language Modeling with Letter-based Features and Importance Sampling
Hainan Xu, Daniel Povey, Sanjeev Khudanpur, Shiyin Kang, Yiming Wang, Jian Wang, Ke Li, Xie Chen , ICASSP 2018 4 , 2018ShellFree
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Multi-Task Bayesian Optimization
Ryan P. Adams, Jasper Snoek, Kevin Swersky , NeurIPS 2013 12 , 2013PythonFree
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Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
Zhanxing Zhu, Jianhong Wang, Yaodong Yang, Rui Luo, Jun Wang , NeurIPS 2018 12 , 2017PythonFree
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Classical Structured Prediction Losses for Sequence to Sequence Learning
Myle Ott, Michael Auli, Sergey Edunov, David Grangier, Marc'Aurelio Ranzato , NAACL 2018 6 , 2017PythonFree
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Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design
Dian Zhou, Xuan Zeng, Wenlong Lyu, Changhao Yan, Fan Yang , ICML 2018 7 , 2018C++Free
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Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
Yizhe Zhang, Ricardo Henao, Wenlin Wang, Lawrence Carin, Dinghan Shen, Guoyin Wang, Chunyuan Li, Qinliang Su, Martin Renqiang Min , ACL 2018 7 , 2018MultipleFree
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Analogical Reasoning on Chinese Morphological and Semantic Relations
Wensi Li, Renfen Hu, Zhe Zhao, Shen Li, Xiaoyong Du, Tao Liu , ACL 2018 7 , 2018MultipleFree
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Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
Jinsoo Choi, Tae-Hyun Oh, Dong-Jin Kim, In So Kweon , CVPR 2019 6 , 2019LuaFree
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Found Graph Data and Planted Vertex Covers
Jon Kleinberg, Austin R. Benson , NeurIPS 2018 12 , 2018JuliaFree
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Dance Dance Convolution
Zachary C. Lipton, Chris Donahue, Julian McAuley , ICML 2017 8 , 2017PythonFree
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Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision
Mohsen Joneidi, Nazanin Rahnavard, Mubarak Shah, Alireza Zaeemzadeh , CVPR 2019 6 , 2018PythonFree
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AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Pengchuan Zhang, Tao Xu, Han Zhang, Xiaodong He, Qiuyuan Huang, Xiaolei Huang, Zhe Gan , CVPR 2018 6 , 2017MultipleFree
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Purely sequence-trained neural networks for ASR based on lattice-free MMI
Daniel Povey, Daniel Galvez, Pegah Ghahrmani, Sanjeev Khudanpur, Xingyu Na, Yiming Wang, Vijayaditya Peddinti, Vimal Manohar , INTERSPEECH 2016 2016 9 , 2016ShellFree
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Banach Wasserstein GAN
Jonas Adler, Sebastian Lunz , NeurIPS 2018 12 , 2018MultipleFree
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Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson, Chris Buehler, Mark Johnson, Stephen Gould, Xiaodong He, Lei Zhang, Damien Teney , CVPR 2018 6 , 2017MultipleFree
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FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Jakob Verbeek, Edmond Boyer, Nitika Verma , CVPR 2018 6 , 2017PythonFree
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Deep Reinforcement Learning for Dialogue Generation
Jianfeng Gao, Alan Ritter, Dan Jurafsky, Michel Galley, Will Monroe, Jiwei Li , EMNLP 2016 11 , 2016MultipleFree
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Deep High-Resolution Representation Learning for Human Pose Estimation
Bin Xiao, Jingdong Wang, Ke Sun, Dong Liu , CVPR 2019 6 , 2019MultipleFree
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Emergent Complexity via Multi-Agent Competition
Szymon Sidor, Jakub Pachocki, Ilya Sutskever, Trapit Bansal, Igor Mordatch , ICLR 2018 1 , 2017MultipleFree
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Towards Fast Computation of Certified Robustness for ReLU Networks
Hongge Chen, Zhao Song, Huan Zhang, Cho-Jui Hsieh, Luca Daniel, Inderjit S. Dhillon, Tsui-Wei Weng, Duane Boning , ICML 2018 7 , 2018MultipleFree
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The Weighted Kendall and High-order Kernels for Permutations
Jean-Philippe Vert, Yunlong Jiao , ICML 2018 7 , 2018MultipleFree
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Holistically-Nested Edge Detection
Zhuowen Tu, Saining Xie , ICCV 2015 12 , 2015MultipleFree
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Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber , ICLR 2018 1 , 2018PythonFree
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NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System
Xi Victoria Lin, Michael D. Ernst, Chenglong Wang, Luke Zettlemoyer , LREC 2018 5 , 2018MultipleFree
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Self-ensembling for visual domain adaptation
Geoffrey French, Mark Fisher, Michal Mackiewicz , ICLR 2018 1 , 2017MultipleFree
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Image-to-Markup Generation with Coarse-to-Fine Attention
Jeffrey Ling, Yuntian Deng, Anssi Kanervisto, Alexander M. Rush , ICML 2017 8 , 2016MultipleFree
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Grounded Textual Entailment
Alberto Testoni, Marc Tanti, Hoa Trong Vu, Aliia Erofeeva, Somayeh Jafaritazehjan, Claudio Greco, Guido Linders, Albert Gatt, Raffaella Bernardi , COLING 2018 8 , 2018PythonFree
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A Dataset for Building Code-Mixed Goal Oriented Conversation Systems
Siddhartha Arora, Nikita Moghe, Suman Banerjee, Mitesh M. Khapra , COLING 2018 8 , 2018PythonFree
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Compact Bilinear Pooling
Ning Zhang, Yang Gao, Oscar Beijbom, Trevor Darrell , CVPR 2016 6 , 2015MultipleFree
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Masking: A New Perspective of Noisy Supervision
Jiangchao Yao, Gang Niu, Ivor Tsang, Ya Zhang, Bo Han, Masashi Sugiyama, Mingyuan Zhou , NeurIPS 2018 12 , 2018MultipleFree
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Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Qiang Liu, Ziyang Tang, Dengyong Zhou, Lihong Li , NeurIPS 2018 12 , 2018PythonFree
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XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zihang Dai, Zhilin Yang, Ruslan Salakhutdinov, Yiming Yang, Quoc V. Le, Jaime Carbonell , NeurIPS 2019 12 , 2019MultipleFree
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Adversarial Discriminative Domain Adaptation
Trevor Darrell, Eric Tzeng, Judy Hoffman, Kate Saenko , CVPR 2017 7 , 2017MultipleFree
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Neural Message Passing for Quantum Chemistry
George E. Dahl, Justin Gilmer, Patrick F. Riley, Oriol Vinyals, Samuel S. Schoenholz , ICML 2017 8 , 2017MultipleFree
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Kaichun Mo, Hao Su, Leonidas J. Guibas, Charles R. Qi , CVPR 2017 7 , 2016MultipleFree
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Jian Sun, Ross Girshick, Kaiming He, Shaoqing Ren , NeurIPS 2015 12 , 2015MultipleFree
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Focal Loss for Dense Object Detection
Priya Goyal, Ross Girshick, Tsung-Yi Lin, Piotr Dollár, Kaiming He , ICCV 2017 10 , 2017MultipleFree
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From Patches to Images: A Nonparametric Generative Model
Erik B. Sudderth, Michael C. Hughes, Geng Ji , ICML 2017 8 , 2017PythonFree
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YOLO9000: Better, Faster, Stronger
Ali Farhadi, Joseph Redmon , CVPR 2017 7 , 2016MultipleFree
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Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Daniel Rueckert, Andrew P. Aitken, Wenzhe Shi, Zehan Wang, Johannes Totz, Rob Bishop, Ferenc Huszár, Jose Caballero , CVPR 2016 6 , 2016MultipleFree
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Parallel Streaming Wasserstein Barycenters
Justin Solomon, Stefanie Jegelka, Matthew Staib, Sebastian Claici , NeurIPS 2017 12 , 2017C++Free
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Evaluation of Croatian Word Embeddings
Slobodan Beliga, Lukas Svoboda , LREC 2018 5 , 2017TeXFree
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Task-based End-to-end Model Learning in Stochastic Optimization
Priya L. Donti, J. Zico Kolter, Brandon Amos , NeurIPS 2017 12 , 2017PythonFree
-
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Shuming Ma, Xuancheng Ren, Yang Yang, Xu Sun, Yi Zhang , COLING 2018 8 , 2017PythonFree
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SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
Chang Liu, Dawn Song, Xiaojun Xu , ICLR 2018 1 , 2017MultipleFree
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FaceNet: A Unified Embedding for Face Recognition and Clustering
Dmitry Kalenichenko, James Philbin, Florian Schroff , CVPR 2015 6 , 2015MultipleFree
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Noise-Aware Unsupervised Deep Lidar-Stereo Fusion
Pan Ji, Yiran Zhong, Yuchao Dao, Hongdong Li, Xuelian Cheng , CVPR 2019 6 , 2019MultipleFree
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Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Nigel Collier, Roberto Navigli, Jose Camacho-Collados, Mohammad Taher Pilehvar , ACL 2017 7 , 2017PythonFree
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GamePad: A Learning Environment for Theorem Proving
Ilya Sutskever, Daniel Huang, Dawn Song, Prafulla Dhariwal , ICLR 2019 5 , 2018CoqFree
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Mask R-CNN
Piotr Dollár, Georgia Gkioxari, Ross Girshick, Kaiming He , ICCV 2017 10 , 2017MultipleFree
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Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features
Arjun Mukherjee, Fan Yang, Eduard Dragut , EMNLP 2017 9 , 2017PythonFree
-
Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator
Sushant Hiray, Venkatesh Duppada , WS 2017 9 , 2017Jupyter NotebookFree
-
NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention
Alexandros Potamianos, Nikos Athanasiou, Athanasia Kolovou, Georgios Paraskevopoulos, Christos Baziotis, Nikolaos Ellinas , SEMEVAL 2018 6 , 2018PythonFree
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Improved Techniques for Training GANs
Vicki Cheung, Wojciech Zaremba, Xi Chen, Ian Goodfellow, Alec Radford, Tim Salimans , NeurIPS 2016 12 , 2016MultipleFree
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HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu , ICCV 2017 10 , 2017Jupyter NotebookFree
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When Unsupervised Domain Adaptation Meets Tensor Representations
Zhiguo Cao, Anton van den Hengel, Hao Lu, Wei Wei, Lei Zhang, Ke Xian, Chunhua Shen , ICCV 2017 10 , 2017MatlabFree
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Bayesian Optimization for Probabilistic Programs
Tuan Anh Le, Michael A. Osborne, Jan-Willem van de Meent, Frank Wood, Tom Rainforth , NeurIPS 2016 12 , 2017MultipleFree
-
Relaxed Quantization for Discretized Neural Networks
Christos Louizos, Max Welling, Efstratios Gavves, Tijmen Blankevoort, Matthias Reisser , ICLR 2019 5 , 2018ShellFree
-
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai, Yiming Yang, Eduard Hovy, Hanxiao Liu, Qizhe Xie , EMNLP 2017 9 , 2017MultipleFree
-
Context encoders as a simple but powerful extension of word2vec
Franziska Horn , WS 2017 8 , 2017PythonFree
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Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Anders Søgaard, Iyad Rahwan, Bjarke Felbo, Alan Mislove, Sune Lehmann , EMNLP 2017 9 , 2017MultipleFree
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Mapping Natural Language Commands to Web Elements
Panupong Pasupat, Tian-Shun Jiang, Kelvin Guu, Evan Zheran Liu, Percy Liang , EMNLP 2018 10 , 2018PythonFree
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Towards a quality metric for dense light fields
Vamsi Kiran Adhikarla, Rafał K. Mantiuk, Piotr Didyk, Karol Myszkowski, Denis Sumin, Marek Vinkler, Hans-Peter Seidel , CVPR 2017 7 , 2017MATLABFree
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Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
Wangmeng Zuo, Peihua Li, Hongliang Yan, Yukang Ding, Yong Xu, Qilong Wang , CVPR 2017 7 , 2017C++Free
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