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Science NestCategoriesComputer ScienceArtificial Intelligence
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Title Title
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  • Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

    Zoubin Ghahramani, Yarin Gal , 33rd International Conference on Machine Learning, ICML 2016 ,  2015
    Multiple

    Free

  • VGGFace2: A dataset for recognising faces across pose and age

    Omkar M. Parkhi, Andrew Zisserman, Li Shen, Weidi Xie, Qiong Cao , Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018 ,  2017
    Multiple

    Free

  • Variational zero-inflated Gaussian processes with sparse kernels

    Markus Heinonen, Samuel Kaski, Pashupati Hegde , 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018 ,  2018
    Jupyter Notebook

    Free

  • Multilingual acoustic word embedding models for processing zero-resource languages

    Herman Kamper, Yevgen Matusevych, Sharon Goldwater , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings ,  2020
    Jupyter Notebook

    Free

  • Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference

    Stefano Ermon, Mike Wu, Noah Goodman , AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics ,  2018
    Python

    Free

  • Dueling Network Architectures for Deep Reinforcement Learning

    Ziyu Wang, Nando de Freitas, Hado van Hasselt, Tom Schaul, Matteo Hessel, Marc Lanctot , 33rd International Conference on Machine Learning, ICML 2016 ,  2015
    Multiple

    Free

  • Temporal Pattern Attention for Multivariate Time Series Forecasting

    Fan-Keng Sun, Hung-yi Lee, Shun-Yao Shih , Machine Learning ,  2018
    Multiple

    Free

  • Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation

    Huazhong Yang, Guijin Wang, Fei Qiao, Hengkai Guo, Xinghao Chen, Cairong Zhang , Proceedings - International Conference on Image Processing, ICIP ,  2017
    Python

    Free

  • Unsupervised Deep Embedding for Clustering Analysis

    Ross Girshick, Junyuan Xie, Ali Farhadi , 33rd International Conference on Machine Learning, ICML 2016 ,  2015
    Multiple

    Free

  • Long-term Temporal Convolutions for Action Recognition

    Ivan Laptev, Gül Varol, Cordelia Schmid , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2016
    Lua

    Free

  • A Deep Multi-Level Network for Saliency Prediction

    Rita Cucchiara, Giuseppe Serra, Marcella Cornia, Lorenzo Baraldi , Proceedings - International Conference on Pattern Recognition ,  2016
    Python

    Free

  • Visual-Inertial Monocular SLAM with Map Reuse

    Juan D. Tardos, Raul Mur-Artal , IEEE Robotics and Automation Letters ,  2016
    Multiple

    Free

  • Understanding deep learning requires rethinking generalization

    Benjamin Recht, Moritz Hardt, Chiyuan Zhang, Samy Bengio, Oriol Vinyals , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Multiple

    Free

  • Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

    Cynthia Rudin, Oscar Li, Chaofan Chen, Hao Liu , 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 ,  2017
    Multiple

    Free

  • ModelicaGym: Applying Reinforcement Learning to Modelica Models

    Tetiana Bogodorova, Oleh Lukianykhin , ACM International Conference Proceeding Series ,  2019
    Python

    Free

  • AutoLoc: Weakly-supervised Temporal Action Localization

    Kazuyuki Miyazawa, Shih-Fu Chang, Zheng Shou, Hang Gao, Lei Zhang , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Jupyter Notebook

    Free

  • Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

    Iain Murray, David C. Sterratt, George Papamakarios , AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics ,  2018
    Multiple

    Free

  • Tunability: Importance of Hyperparameters of Machine Learning Algorithms

    Philipp Probst, Anne-Laure Boulesteix, Bernd Bischl , Journal of Machine Learning Research ,  2018
    Multiple

    Free

  • Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code

    Lingxiao Jiang, Nghi D. Q. Bui , Proceedings - International Conference on Software Engineering ,  2018
    Python

    Free

  • A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

    Kevin Gimpel, Dan Hendrycks , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Multiple

    Free

  • Variable Rate Image Compression with Recurrent Neural Networks

    Damien Vincent, Sean M. O'Malley, David Minnen, Shumeet Baluja, George Toderici, Sung Jin Hwang, Rahul Sukthankar, Michele Covell , 4th International Conference on Learning Representations, ICLR 2016 - Conference Track Proceedings ,  2015
    Python

    Free

  • LSTM: A Search Space Odyssey

    Bas R. Steunebrink, Klaus Greff, Jan Koutník, Jürgen Schmidhuber, Rupesh Kumar Srivastava , IEEE Transactions on Neural Networks and Learning Systems ,  2015
    Multiple

    Free

  • A Semantics-Based Measure of Emoji Similarity

    Derek Doran, Lakshika Balasuriya, Sanjaya Wijeratne, Amit Sheth , Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017 ,  2017
    Jupyter Notebook

    Free

  • Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation

    Ruofeng Tong, Min Tang, Dan Song, Chengyang Li , British Machine Vision Conference 2018, BMVC 2018 ,  2018
    Python

    Free

  • Locality Constraint Dictionary Learning with Support Vector for Pattern Classification

    He-Feng Yin, Xiao-Jun Wu, Su-Gen Chen , IEEE Access ,  2019
    MATLAB

    Free

  • Know Your Master: Driver Profiling-based Anti-theft Method

    Huy Kang Kim, Byung Il Kwak, JiYoung Woo , 2016 14th Annual Conference on Privacy, Security and Trust, PST 2016 ,  2017
    Python

    Free

  • TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition

    Ghassan AlRegib, Min-Hung Chen, Zsolt Kira, Chih-Yao Ma , Signal Processing Image Communication ,  2017
    Multiple

    Free

  • Gaussian Process Classification for Variable Fidelity Data

    Nikita Klyuchnikov, Evgeny Burnaev , Neurocomputing ,  2018
    Python

    Free

  • Supervised learning based on temporal coding in spiking neural networks

    Hesham Mostafa , IEEE Transactions on Neural Networks and Learning Systems ,  2016
    Python

    Free

  • Conditional Generative Adversarial Nets

    Simon Osindero, Mehdi Mirza , Ruan Jian Xue Bao/Journal of Software ,  2014
    Multiple

    Free

  • Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

    Sergey Ioffe, Christian Szegedy , 32nd International Conference on Machine Learning, ICML 2015 ,  2015
    Multiple

    Free

  • BioBERT: a pre-trained biomedical language representation model for biomedical text mining

    Sungdong Kim, Donghyeon Kim, Wonjin Yoon, Sunkyu Kim, Jaewoo Kang, Jinhyuk Lee, Chan Ho So , Bioinformatics ,  2019
    Multiple

    Free

  • Robust SfM with Little Image Overlap

    Renaud Marlet, Pascal Monasse, Yohann Salaun , Proceedings - 2017 International Conference on 3D Vision, 3DV 2017 ,  2017
    C++

    Free

  • Listen, Attend and Spell

    Oriol Vinyals, Quoc V. Le, William Chan, Navdeep Jaitly , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings ,  2015
    Multiple

    Free

  • World Models

    David Ha, Jürgen Schmidhuber , Proceedings of the 2016 Industrial and Systems Engineering Research Conference, ISERC 2016 ,  2018
    Multiple

    Free

  • R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering

    Pan Lu, Nan Duan, Wei Zhang, Ming Zhou, Jianyong Wang, Lei Ji , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2018
    Unspecified

    Free

  • ClusterGAN Latent Space Clustering in Generative Adversarial Networks

    Sudipto Mukherjee, Eugene Lin, Himanshu Asnani, Sreeram Kannan , 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 ,  2018
    Multiple

    Free

  • Sparse and noisy LiDAR completion with RGB guidance and uncertainty

    Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool , Proceedings of the 16th International Conference on Machine Vision Applications, MVA 2019 ,  2019
    Python

    Free

  • Efficient Training for Positive Unlabeled Learning

    Emanuele Sansone, Francesco G. B. De Natale, Zhi-Hua Zhou , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2016
    MATLAB

    Free

  • Graph Convolutional Matrix Completion

    Thomas N. Kipf, Max Welling, Rianne van den Berg , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2017
    Multiple

    Free

  • Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series

    Feras A. Saad, Vikash K. Mansinghka , International Conference on Artificial Intelligence and Statistics, AISTATS 2018 ,  2017
    Jupyter Notebook

    Free

  • A Bi-directional Transformer for Musical Chord Recognition

    Jonghun Park, Kyoyun Choi, Dokyun Kim, Jonggwon Park, Sungwook Jeon , Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019 ,  2019
    Python

    Free

  • Learning for Video Super-Resolution through HR Optical Flow Estimation

    Wei An, Xinpu Deng, Zaiping Lin, Longguang Wang, Yulan Guo , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Multiple

    Free

  • SSD: Single Shot MultiBox Detector

    Scott Reed, Alexander C. Berg, Christian Szegedy, Dumitru Erhan, Dragomir Anguelov, Wei Liu, Cheng-Yang Fu , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2015
    Multiple

    Free

  • wav2vec: Unsupervised Pre-training for Speech Recognition

    Michael Auli, Alexei Baevski, Steffen Schneider, Ronan Collobert , Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH ,  2019
    Multiple

    Free

  • The Partially Observable Hidden Markov Model and its Application to Keystroke Dynamics

    Charles C. Tappert, John V. Monaco , Pattern Recognition ,  2016
    Multiple

    Free

  • Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation

    Yi-Hsuan Yang, Hao-Wen Dong , Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018 ,  2018
    Multiple

    Free

  • Superpixels: An Evaluation of the State-of-the-Art

    David Stutz, Alexander Hermans, Bastian Leibe , Computer Vision and Image Understanding ,  2016
    Multiple

    Free

  • Machine learning for predicting thermal power consumption of the Mars Express Spacecraft

    Dragi Kocev, Redouane Boumghar, Martin Breskvar, Sašo Džeroski, Aljaž Osojnik, Luke Lucas, Nikola Simidjievski, Bernard Ženko, Matej Petković, Jurica Levatić , IEEE Aerospace and Electronic Systems Magazine ,  2018
    Jupyter Notebook

    Free

  • Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale

    Adrian Albert, Jasleen Kaur, Marta Gonzalez , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2017
    Multiple

    Free

  • Bridging machine learning and cryptography in defence against adversarial attacks

    Shideh Rezaeifar, Slava Voloshynovskiy, Olga Taran , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2018
    Multiple

    Free

  • APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM Framework

    Amit Singer, Ayelet Heimowitz, Joakim andén , Journal of Structural Biology ,  2018
    Matlab

    Free

  • Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

    Jimmy Ba, Aaron Courville, Yoshua Bengio, Ryan Kiros, Kelvin Xu, Ruslan Salakhutdinov, Kyunghyun Cho, Richard Zemel , 32nd International Conference on Machine Learning, ICML 2015 ,  2015
    Multiple

    Free

  • Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures

    Tiehang Duan, José P. Pinto, Xiaohui Xie , Bioinformatics ,  2018
    C++

    Free

  • Variational Graph Auto-Encoders

    Thomas N. Kipf, Max Welling , Methods ,  2016
    Multiple

    Free

  • Second-Order Stochastic Optimization for Machine Learning in Linear Time

    Brian Bullins, Naman Agarwal, Elad Hazan , Journal of Machine Learning Research ,  2016
    Python

    Free

  • Unpaired Multi-modal Segmentation via Knowledge Distillation

    Quande Liu, Qi Dou, Pheng Ann Heng, Ben Glocker , IEEE Transactions on Medical Imaging ,  2020
    Multiple

    Free

  • Neural Photo Editing with Introspective Adversarial Networks

    Theodore Lim, J. M. Ritchie, Andrew Brock, Nick Weston , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Python

    Free

  • Retinal vessel segmentation based on Fully Convolutional Neural Networks

    Carlos A. Silva, Américo Oliveira, Sérgio Pereira , Expert Systems with Applications ,  2018
    Jupyter Notebook

    Free

  • Shape Robust Text Detection with Progressive Scale Expansion Network

    Wenhai Wang, Jian Yang, Xiang Li, Tong Lu, Wenbo Hou, Ruo-Ze Liu , Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition ,  2018
    Multiple

    Free

  • Striving for Simplicity: The All Convolutional Net

    Martin Riedmiller, Thomas Brox, Jost Tobias Springenberg, Alexey Dosovitskiy , 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings ,  2014
    Multiple

    Free

  • CrowdNet: A Deep Convolutional Network for Dense Crowd Counting

    R. Venkatesh Babu, Lokesh Boominathan, Srinivas S S Kruthiventi , MM 2016 - Proceedings of the 2016 ACM Multimedia Conference ,  2016
    Multiple

    Free

  • Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

    Marinka Zitnik, Yu Zhang, Jiawei Han, Xiang Ren, Jingbo Shang, Yuhao Zhang, Curtis Langlotz, Xuan Wang , Bioinformatics ,  2018
    Multiple

    Free

  • Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

    Ozan Irsoy, Peter Ondruska, Ankit Kumar, Ishaan Gulrajani, Romain Paulus, Richard Socher, Victor Zhong, James Bradbury, Mohit Iyyer , 33rd International Conference on Machine Learning, ICML 2016 ,  2015
    Multiple

    Free

  • Adam: A Method for Stochastic Optimization

    Jimmy Ba, Diederik P. Kingma , 3rd International Conference on Learning Representations, ICLR 2015 - Conference Track Proceedings ,  2014
    Multiple

    Free

  • Learning Tree-based Deep Model for Recommender Systems

    Guozheng Li, Xiang Li, Jie He, Kun Gai, Han Li, Pengye Zhang, Han Zhu , Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ,  2018
    Multiple

    Free

  • On the difficulty of training Recurrent Neural Networks

    Tomas Mikolov, Razvan Pascanu, Yoshua Bengio , 30th International Conference on Machine Learning, ICML 2013 ,  2012
    Multiple

    Free

  • Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

    Sepp Hochreiter, Djork-Arné Clevert, Thomas Unterthiner , 4th International Conference on Learning Representations, ICLR 2016 - Conference Track Proceedings ,  2015
    Multiple

    Free

  • Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs

    Yu. A. Malkov, D. A. Yashunin , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2016
    Multiple

    Free

  • Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

    M. Jorge Cardoso, Tom Vercauteren, Wenqi Li, Sébastien Ourselin, Carole H Sudre , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ,  2017
    Multiple

    Free

  • An Analysis of Unsupervised Pre-training in Light of Recent Advances

    Pooya Khorrami, Wei Han, Thomas S. Huang, Tom Le Paine , 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings ,  2014
    Python

    Free

  • Dynamic Memory Networks for Visual and Textual Question Answering

    Caiming Xiong, Stephen Merity, Richard Socher , 33rd International Conference on Machine Learning, ICML 2016 ,  2016
    Multiple

    Free

  • Towards Good Practices for Deep 3D Hand Pose Estimation

    Hengkai Guo, Guijin Wang, Cairong Zhang, Xinghao Chen , Journal of Visual Communication and Image Representation ,  2017
    Python

    Free

  • Learning Activation Functions to Improve Deep Neural Networks

    Matthew Hoffman, Pierre Baldi, Forest Agostinelli, Peter Sadowski , 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings ,  2014
    Multiple

    Free

  • Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation

    Mengyu Chu, Nils Thuerey, Jonas Mayer, You Xie, Laura Leal-Taixé , ACM Transactions on Graphics ,  2018
    Multiple

    Free

  • Continuous Deep Q-Learning with Model-based Acceleration

    Timothy Lillicrap, Shixiang Gu, Sergey Levine, Ilya Sutskever , 33rd International Conference on Machine Learning, ICML 2016 ,  2016
    Multiple

    Free

  • Improving Review Representations with User Attention and Product Attention for Sentiment Classification

    Xin-Yu Dai, Jiajun Chen, Shujian Huang, Zhen Wu, Cunyan Yin , 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 ,  2018
    Python

    Free

  • Multi-View Stereo 3D Edge Reconstruction

    Matteo Matteucci, Andrea Romanoni, Andrea Bignoli , Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018 ,  2018
    C++

    Free

  • Prioritized Experience Replay

    David Silver, John Quan, Ioannis Antonoglou, Tom Schaul , Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI ,  2015
    Multiple

    Free

  • GP-GAN: Towards Realistic High-Resolution Image Blending

    Kaiqi Huang, Shuai Zheng, Junge Zhang, Huikai Wu , MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia ,  2017
    Multiple

    Free

  • A Systematic Evaluation of Recent Deep Learning Architectures for Fine-Grained Vehicle Classification

    Krassimir Valev, Arne Schumann, Jürgen Beyerer, Lars Sommer , Proceedings of SPIE - The International Society for Optical Engineering ,  2018
    Jupyter Notebook

    Free

  • BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

    Xiao Lin, Wenwu Ou, Changhua Pei, Fei Sun, Jun Liu, Jian Wu, Peng Jiang , International Conference on Information and Knowledge Management, Proceedings ,  2019
    Python

    Free

  • Variational Autoencoders for Collaborative Filtering

    Rahul G. Krishnan, Matthew D. Hoffman, Dawen Liang, Tony Jebara , WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining ,  2018
    Multiple

    Free

  • Density estimation using Real NVP

    Samy Bengio, Jascha Sohl-Dickstein, Laurent Dinh , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Multiple

    Free

  • Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

    Ofer Lavi, Yonatan Belinkov, Yossi Adi, Yoav Goldberg, Einat Kermany , 5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings ,  2016
    Multiple

    Free

  • Hierarchical Object Detection with Deep Reinforcement Learning

    Ferran Marques, Jordi Torres, Xavier Giro-i-Nieto, Miriam Bellver , Deep Learning for Image Processing Applications ,  2016
    Python

    Free

  • DeRPN: Taking a further step toward more general object detection

    Zecheng Xie, Lianwen Jin, Yuliang Liu, Lele Xie , 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 ,  2018
    Python

    Free

  • Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm

    Emma Hart, Ben Paechter, Andreas S. W. Steyven , GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference ,  2018
    C++

    Free

  • Finite Sample Guarantees for PCA in Non-Isotropic and Data-Dependent Noise

    Namrata Vaswani, Praneeth Narayanamurthy , 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017 ,  2017
    Matlab

    Free

  • Learning Deep Latent Spaces for Multi-Label Classification

    Wei-Chieh Wu, Chih-Kuan Yeh, Yu-Chiang Frank Wang, Wei-Jen Ko , 31st AAAI Conference on Artificial Intelligence, AAAI 2017 ,  2017
    Matlab

    Free

  • Generalized Low Rank Models

    Madeleine Udell, Stephen Boyd, Corinne Horn, Reza Zadeh , Foundations and Trends in Machine Learning ,  2014
    Julia

    Free

  • A low variance consistent test of relative dependency

    Wacha Bounliphone, Arthur Tenenhaus, Arthur Gretton, Matthew Blaschko , 32nd International Conference on Machine Learning, ICML 2015 ,  2014
    Matlab

    Free

  • Learning recurrent dynamics in spiking networks

    Christopher Kim, Carson Chow , eLife ,  2018
    Julia

    Free

  • Random directions stochastic approximation with deterministic perturbations

    Shalabh Bhatnagar, Nirav Bhavsar, Prashanth L A, Michael Fu, Steven I. Marcus , IEEE Transactions on Automatic Control ,  2018
    Java

    Free

  • Disentangling factors of variation in deep representations using adversarial training

    Aditya Ramesh, Junbo Zhao, Pablo Sprechmann, Michael Mathieu, Yann LeCun , Advances in Neural Information Processing Systems ,  2016
    Multiple

    Free

  • Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations

    Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu , IEEE Transactions on Pattern Analysis and Machine Intelligence ,  2018
    Python

    Free

  • Snorkel: Rapid Training Data Creation with Weak Supervision

    Stephen H. Bach, Jason Fries, Henry Ehrenberg, Christopher Ré, Sen Wu, Alexander Ratner , VLDB Journal ,  2017
    Multiple

    Free

  • A Universal Music Translation Network

    Adam Polyak, Yaniv Taigman, Lior Wolf, Noam Mor , 7th International Conference on Learning Representations, ICLR 2019 ,  2018
    Multiple

    Free

  • Understanding Deep Architectures by Visual Summaries

    Maedeh Aghaei, Marco Carletti, Francesco Giuliari, Marco Godi, Marco Cristani , British Machine Vision Conference 2018, BMVC 2018 ,  2018
    Multiple

    Free

  • StarSpace: Embed All The Things!

    Antoine Bordes, Adam Fisch, Jason Weston, Sumit Chopra, Keith Adams, Ledell Wu , 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 ,  2017
    Multiple

    Free

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