hunoutl/paperlists huggingface dataset:
Title: G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Authors: Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu
Affiliations: Microsoft Research Asia; University of Science and Technology of China; University of Chinese Academy of Sciences
Conference: iclr 2019 (main track)
Keywords: optimization;neural network;irreducible positively scale-invariant space;deep learning
Decision: Poster
Title: From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference
Authors: Randall Balestriero, Richard Baraniuk
Affiliations: Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
Conference: iclr 2019 (main track)
Keywords: Spline;Vector Quantization;Inference;Nonlinearities;Deep Network
Decision: Poster
Title: Variational Autoencoder with Arbitrary Conditioning
Authors: Oleg Ivanov, Mikhail Figurnov, Dmitry P. Vetrov
Affiliations: National Research University Higher School of Economics∗, Moscow, Russia; Samsung AI Center Moscow, Moscow, Russia; Samsung-HSE Laboratory, National Research University Higher School of Economics, Samsung AI Center Moscow, Moscow, Russia
Conference: iclr 2019 (main track)
Keywords: unsupervised learning;generative models;conditional variational autoencoder;variational autoencoder;missing features multiple imputation;inpainting
Decision: Poster
Title: A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
Authors: Akhilesh Deepak Gotmare, Nitish Shirish Keskar, Caiming Xiong, richard socher
Affiliations: Salesforce Research, Palo Alto, US; Department of Computer Science, EPFL, Switzerland
Conference: iclr 2019 (main track)
Keywords: deep learning heuristics;learning rate restarts;learning rate warmup;knowledge distillation;mode connectivity;SVCCA
Decision: Poster
Title: Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Authors: Chih-Yao Ma, jiasen lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, richard socher, Caiming Xiong
Affiliations: University of Maryland, College Park; Georgia Institute of Technology; Salesforce Research
Conference: iclr 2019 (main track)
Keywords: visual grounding;textual grounding;instruction-following;navigation agent
Decision: Poster
Title: Neural network gradient-based learning of black-box function interfaces
Authors: Alon Jacovi, guy hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George M. Kour, Jonathan Berant
Affiliations: IBM Research, Israel; Tel Aviv University, Israel; Allen Institute for Artiﬁcial Intelligence; IBM Research, Israel; Bar Ilan University, Israel
Conference: iclr 2019 (main track)
Keywords: neural networks;black box functions;gradient descent
Decision: Poster
Title: Riemannian Adaptive Optimization Methods
Authors: Gary Bécigneul, Octavian Ganea
Affiliations: Department of Computer Science, ETH Zürich, Switzerland
Conference: iclr 2019 (main track)
Keywords: Riemannian optimization;adaptive;hyperbolic;curvature;manifold;adam;amsgrad;adagrad;rsgd;convergence
Decision: Poster
Title: Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters
Authors: Marton Havasi, Robert Peharz, José Miguel Hernández Lobato
Affiliations: Department of Engineering, University of Cambridge; Department of Engineering, University of Cambridge, Microsoft Research, Alan Turing Institute
Conference: iclr 2019 (main track)
Keywords: compression;neural networks;bits-back argument;Bayesian;Shannon;information theory
Decision: Poster
Title: Characterizing Audio Adversarial Examples Using Temporal Dependency
Authors: Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song
Affiliations: UC, Berkeley; University of Illinois at Urbana–Champaign; IBM Research; Shanghai Jiao Tong University
Conference: iclr 2019 (main track)
Keywords: audio adversarial example;mitigation;detection;machine learning
Decision: Poster
Title: Equi-normalization of Neural Networks
Authors: Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou
Affiliations: Facebook AI Research; Univ Rennes, Inria, CNRS, IRISA
Conference: iclr 2019 (main track)
Keywords: convolutional neural networks;Normalization;Sinkhorn;Regularization
Decision: Poster
Title: Generalized Tensor Models for Recurrent Neural Networks
Authors: Valentin Khrulkov, Oleksii Hrinchuk, Ivan Oseledets
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Moscow Institute of Physics and Technology, Moscow, Russia; Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
Conference: iclr 2019 (main track)
Keywords: expressive power;recurrent neural networks;Tensor-Train decomposition
Decision: Poster
Title: Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Authors: Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Anna Huang, Sander Dieleman, Erich K Elsen, Jesse Engel, Douglas Eck
Affiliations: DeepMind; Google Brain
Conference: iclr 2019 (main track)
Keywords: music;piano transcription;transformer;wavnet;audio synthesis;dataset;midi
Decision: Oral
Title: A Variational Inequality Perspective on Generative Adversarial Networks
Authors: Gauthier Gidel, Hugo Berard, Gaëtan Vignoud, Pascal Vincent, Simon Lacoste-Julien
Affiliations: Mila & DIRO, University of Montreal, Facebook Artificial Intelligence Research; Mila & DIRO, University of Montreal; Mila & DIRO, University of Montreal, Canada CIFAR AI Chair
Conference: iclr 2019 (main track)
Keywords: optimization;variational inequality;games;saddle point;extrapolation;averaging;extragradient;generative modeling;generative adversarial network
Decision: Poster
Title: Learning-Based Frequency Estimation Algorithms
Authors: Chen-Yu Hsu, Piotr Indyk, Dina Katabi, Ali Vakilian
Affiliations: Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Conference: iclr 2019 (main track)
Keywords: streaming algorithms;heavy-hitters;Count-Min;Count-Sketch
Decision: Poster
Title: Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Authors: Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
Affiliations: Uber AI Labs
Conference: iclr 2019 (main track)
Keywords: meta-learning;reinforcement learning;plasticity;neuromodulation;Hebbian learning;recurrent neural networks
Decision: Poster
Title: A Generative Model For Electron Paths
Authors: John Bradshaw, Matt Kusner, Brooks Paige, Marwin Segler, José Miguel Hernández Lobato
Affiliations: University of Cambridge, Max Planck Institute, Tübingen; BenevolentAI; Alan Turing Institute, University of Cambridge; University of Cambridge, Microsoft Research Cambridge, Alan Turing Institute; University of Oxford, Alan Turing Institute
Conference: iclr 2019 (main track)
Keywords: Molecules;Reaction Prediction;Graph Neural Networks;Deep Generative Models
Decision: Poster
Title: Beyond Greedy Ranking: Slate Optimization via List-CVAE
Authors: Ray Jiang, Sven Gowal, Yuqiu Qian, Timothy A Mann, Danilo Jimenez Rezende
Affiliations: The University of Hong Kong; Google DeepMind, London, UK
Conference: iclr 2019 (main track)
Keywords: CVAE;VAE;recommendation system;slate optimization;whole page optimization
Decision: Poster
Title: Learning to Remember More with Less Memorization
Authors: Hung Le, Truyen Tran and Svetha Venkatesh, Applied AI Institute, Deakin University, Geelong, Australia, {lethai,truyen.tran,svetha.venkatesh}@deakin.edu.au
Affiliations: Applied AI Institute, Deakin University, Geelong, Australia
Conference: iclr 2019 (main track)
Keywords: memory-augmented neural networks;writing optimization
Decision: Oral
Title: GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Authors: Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Sam Bowman
Affiliations: Courant Institute of Mathematical Sciences, New York University; DeepMind; Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: iclr 2019 (main track)
Keywords: natural language understanding;multi-task learning;evaluation
Decision: Poster
Title: Learning Robust Representations by Projecting Superficial Statistics Out
Authors: Haohan Wang, Zexue He, Zachary Lipton, Eric P Xing
Affiliations: Beijing Normal University, Beijing, China; Carnegie Mellon University, Pittsburgh, PA USA; Carnegie Mellon University, Pittsburgh, PA, USA
Conference: iclr 2019 (main track)
Keywords: domain generalization;robustness
Decision: Oral
Title: On Computation and Generalization of Generative Adversarial Networks under Spectrum Control
Authors: Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao
Affiliations: Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA; School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA
Conference: iclr 2019 (main track)
Decision: Poster
Title: Large-Scale Study of Curiosity-Driven Learning
Authors: Yuri Burda, Harrison Edwards, Deepak Pathak, Amos Storkey, Trevor Darrell, Alexei Efros
Conference: iclr 2019 (main track)
Keywords: exploration;curiosity;intrinsic reward;no extrinsic reward;unsupervised;no-reward;skills
Decision: Poster
Title: Unsupervised Discovery of Parts, Structure, and Dynamics
Authors: Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William Freeman, Joshua B Tenenbaum, Jiajun Wu
Affiliations: MIT CSAIL; MIT CSAIL, Shanghai Jiao Tong University; MIT CSAIL, Google Research; Google Research
Conference: iclr 2019 (main track)
Keywords: Self-Supervised Learning;Visual Prediction;Hierarchical Models
Decision: Poster
Title: Music Transformer: Generating Music with Long-Term Structure
Authors: Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew Dai, Matthew D Hoffman, Monica Dinculescu, Douglas Eck
Affiliations: Google Brain
Conference: iclr 2019 (main track)
Keywords: music generation
Decision: Poster
Title: BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
Authors: Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien H Nguyen, Yoshua Bengio
Affiliations: Mila, Université de Montréal, AdeptMind Scholar, Element AI; Mila, Université de Montréal; École Normale Supérieure, Paris (Work done during an internship at Mila); Mila, Université de Montréal, CIFAR Senior Fellow; University of Oregon (Work done during a post-doc at Mila); IIT Bombay (Work done during an internship at Mila)
Conference: iclr 2019 (main track)
Keywords: language;learning;efficiency;imitation learning;reinforcement learning
Decision: Poster
Title: Analyzing Inverse Problems with Invertible Neural Networks
Authors: Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Koethe
Affiliations: Zentrum für Astronomie der Universität Heidelberg (ZAH); German Cancer Research Center (DKFZ); Visual Learning Lab Heidelberg
Conference: iclr 2019 (main track)
Keywords: Inverse problems;Neural Networks;Uncertainty;Invertible Neural Networks
Decision: Poster
Title: RelGAN: Relational Generative Adversarial Networks for Text Generation
Authors: Weili Nie, Nina Narodytska, Ankit B Patel
Affiliations: VMware Research; Rice University; Rice University & Baylor College of Medicine
Conference: iclr 2019 (main track)
Keywords: RelGAN;text generation;relational memory;Gumbel-Softmax relaxation;multiple embedded representations
Decision: Poster
Title: Learning Embeddings into Entropic Wasserstein Spaces
Authors: Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon
Affiliations: MIT-IBM Watson AI Lab and IBM Research; MIT CSAIL and MIT-IBM Watson AI Lab
Conference: iclr 2019 (main track)
Keywords: Embedding;Wasserstein;Sinkhorn;Optimal Transport
Decision: Poster
Title: InfoBot: Transfer and Exploration via the Information Bottleneck
Authors: Anirudh Goyal, Riashat Islam, DJ Strouse, Zafarali Ahmed, Hugo Larochelle, Matthew Botvinick, Sergey Levine, Yoshua Bengio
Affiliations: Mila, University of Montreal; Deepmind; University of California, Berkeley; Mila, McGill University
Conference: iclr 2019 (main track)
Keywords: Information bottleneck;policy transfer;policy generalization;exploration
Decision: Poster
Title: The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Authors: Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B Tenenbaum, Jiajun Wu
Affiliations: MIT BCS, CBMM, CSAIL; Deepmind; MIT-IBM Watson AI Lab; MIT CSAIL and IIIS, Tsinghua University; MIT CSAIL
Conference: iclr 2019 (main track)
Keywords: Neuro-Symbolic Representations;Concept Learning;Visual Reasoning
Decision: Oral
Title: The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure
Authors: Frederic Koehler, Andrej Risteski
Affiliations: Department of Mathematics, Massachusetts Institute of Technology; Department of Mathematics and IDSS, Massachusetts Institute of Technology
Conference: iclr 2019 (main track)
Keywords: theory;representational power;universal approximators;polynomial kernels;latent sparsity;beyond worst case;separation result
Decision: Poster
Title: Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Authors: Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B Tenenbaum, Antonio Torralba
Affiliations: Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Conference: iclr 2019 (main track)
Keywords: Dynamics modeling;Control;Particle-Based Representation
Decision: Poster
Title: Regularized Learning for Domain Adaptation under Label Shifts
Authors: Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Anima Anandkumar
Affiliations: University of California, Irvine; California Institute of Technology; Institute of Theoretical Studies, ETH Zürich
Conference: iclr 2019 (main track)
Keywords: Deep Learning;Domain Adaptation;Label Shift;Importance Weights;Generalization
Decision: Poster
Title: Relational Forward Models for Multi-Agent Learning
Authors: Andrea Tacchetti, Francis Song, Pedro Mediano, Vinicius Zambaldi, János Kramár, Neil C Rabinowitz, Thore Graepel, Matthew Botvinick, Peter Battaglia
Affiliations: Google DeepMind
Conference: iclr 2019 (main track)
Keywords: multi-agent reinforcement learning;relational reasoning;forward models
Decision: Poster
Title: Imposing Category Trees Onto Word-Embeddings Using A Geometric Construction
Authors: Tiansi Dong, Christian Bauckhage, Hailong Jin, Juanzi Li, Olaf Cremers, Daniel Speicher, Armin Cremers, Joerg Zimmermann
Affiliations: DCST, Tsinghua University, Beijing, China; Informatik II, University of Bonn; B-IT, University of Bonn, Bonn, Germany; B-IT, University of Bonn, Bonn, Germany; Fraunhofer IAIS, Sankt Augustin, Germany
Conference: iclr 2019 (main track)
Keywords: category tree;word-embeddings;geometry
Decision: Poster
Title: Diversity-Sensitive Conditional Generative Adversarial Networks
Authors: Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
Affiliations: University of Michigan, Ann Arbor, MI, USA and Google Brain, Mountain View, CA, USA; University of Michigan, Ann Arbor, MI, USA
Conference: iclr 2019 (main track)
Keywords: Conditional Generative Adversarial Network;mode-collapse;multi-modal generation;image-to-image translation;image in-painting;video prediction
Decision: Poster
Title: Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach
Authors: Minhao Cheng, Thong M Le, Pin-Yu Chen, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
Affiliations: IBM Research AI; Department of Computer Science, University of California, Los Angeles; Department of Computer Science, University of California, Davis; JD AI Research
Conference: iclr 2019 (main track)
Keywords: Adversarial example;Hard-label;Black-box attack;Query-efficient
Decision: Poster
Title: Hyperbolic Attention Networks
Authors: Caglar Gulcehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Victor Bapst, Victor Bapst, Adam Santoro, Nando de Freitas
Affiliations: DeepMind
Conference: iclr 2019 (main track)
Keywords: Hyperbolic Geometry;Attention Methods;Reasoning on Graphs;Relation Learning;Scale Free Graphs;Transformers;Power Law
Decision: Poster
Title: FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models
Authors: Will Grathwohl, Tian Qi Chen, Jesse Bettencourt, Ilya Sutskever, David Duvenaud
Affiliations: University of Toronto and Vector Institute; OpenAI
Conference: iclr 2019 (main track)
Keywords: generative models;density estimation;approximate inference;ordinary differential equations
Decision: Oral
Title: Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
Authors: Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh
Affiliations: Department of Statistics, UC Davis, Davis, CA 95616, USA; Department of Computer Science, UC Davis, Davis, CA 95616, USA; Department of Computer Science, UCLA, Los Angeles, CA 90095, USA
Conference: iclr 2019 (main track)
Decision: Poster
Title: Explainable Adversarial Learning: Implicit Generative Modeling of Random Noise during Training for Adversarial Robustness
Affiliations: Under double-blind review
Conference: iclr 2019 (main track)
Keywords: Adversarial Robustness;PCA variance;PCA subspace;Generative Noise Modeling;Adversarial attack;Adversarial Robustness Metric
Decision: Withdraw
Title: Caveats for information bottleneck in deterministic scenarios
Authors: Artemy Kolchinsky, Brendan D Tracey, Steven Van Kuyk
Affiliations: Santa Fe Institute, Santa Fe, NM 87501, USA and Dept of Aeronautics & Astronautics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Santa Fe Institute, Santa Fe, NM 87501, USA; School of Engineering and Computer Science, Victoria University of Wellington, New Zealand
Conference: iclr 2019 (main track)
Keywords: information bottleneck;supervised learning;deep learning;information theory
Decision: Poster
Title: Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
Authors: Min Liu, Fupin Yao, Chiho Choi, Ayan Sinha, Karthik Ramani
Affiliations: Purdue University; Honda Research Institute, USA; Magic Leap Inc.
Conference: iclr 2019 (main track)
Keywords: Spherical Convolution;Geometric deep learning;3D shape analysis
Decision: Poster
Title: Preferences Implicit in the State of the World
Authors: Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander, Pieter Abbeel, Anca Dragan
Affiliations: Stanford University; University of Amsterdam; UC Berkeley
Conference: iclr 2019 (main track)
Keywords: Preference learning;Inverse reinforcement learning;Inverse optimal stochastic control;Maximum entropy reinforcement learning;Apprenticeship learning
Decision: Poster
Title: A Kernel Random Matrix-Based Approach for Sparse PCA
Authors: Mohamed El Amine Seddik, mohamed Tamaazousti, Romain Couillet
Affiliations: CentraleSupélec, GIPSA-Lab University of GrenobleAlpes; CEA List; CEA List, CentraleSupélec
Conference: iclr 2019 (main track)
Keywords: Random Matrix Theory;Concentration of Measure;Sparse PCA;Covariance Thresholding
Decision: Poster
Title: Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Authors: Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Affiliations: Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Germany
Conference: iclr 2019 (main track)
Keywords: bayesian inference;segmentation;anticipation;multi-modality
Decision: Poster
Title: There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Authors: Ben Athiwaratkun, Marc A Finzi, Pavel Izmailov, Andrew G Wilson
Affiliations: Cornell University
Conference: iclr 2019 (main track)
Keywords: semi-supervised learning;computer vision;classification;consistency regularization;flatness;weight averaging;stochastic weight averaging
Decision: Poster
Title: Graph HyperNetworks for Neural Architecture Search
Authors: Chris Zhang, Mengye Ren, Raquel Urtasun
Affiliations: Uber Advanced Technologies Group, University of Toronto; Uber Advanced Technologies Group, University of Waterloo
Conference: iclr 2019 (main track)
Keywords: neural;architecture;search;graph;network;hypernetwork;meta;learning;anytime;prediction
Decision: Poster
Title: DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
Authors: Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Luke Huan
Affiliations: University of Illinois at Urbana-Champaign; Big Data Department, Baidu Inc.; Big Data Lab, Baidu Research
Conference: iclr 2019 (main track)
Keywords: transfer learning;deep learning;regularization;attention;cnn
Decision: Poster
Title: textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR
Authors: Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schuetze
Affiliations: Corporate Technology, Machine-Intelligence (MIC-DE), Siemens AG Munich, Germany; CIS, University of Munich (LMU) Munich, Germany
Conference: iclr 2019 (main track)
Keywords: neural topic model;natural language processing;text representation;language modeling;information retrieval;deep learning
Decision: Poster
Title: Deep Graph Infomax
Authors: Petar Veličković, William Fedus, William L Hamilton, Pietro Liò, Yoshua Bengio, R Devon Hjelm
Affiliations: Mila – Québec Artificial Intelligence Institute, Google Brain; Microsoft Research, Mila – Québec Artificial Intelligence Institute; Mila – Québec Artificial Intelligence Institute, McGill University; Department of Computer Science and Technology, University of Cambridge; Mila – Québec Artificial Intelligence Institute, Université de Montréal
Conference: iclr 2019 (main track)
Keywords: Unsupervised Learning;Graph Neural Networks;Graph Convolutions;Mutual Information;Infomax;Deep Learning
Decision: Poster
Title: Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
Authors: Charbel Sakr, Naresh Shanbhag
Affiliations: Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Illinois, IL 61801, USA
Conference: iclr 2019 (main track)
Keywords: deep learning;reduced precision;fixed-point;quantization;back-propagation algorithm
Decision: Poster
Title: Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Authors: Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey
Affiliations: Caltech; Salesforce; STATS
Conference: iclr 2019 (main track)
Keywords: deep learning;generative models;imitation learning;hierarchical methods;data programming;weak supervision;spatiotemporal
Decision: Poster
Title: Label super-resolution networks
Authors: Nikolay Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa, Nebojsa Jojic
Affiliations: Microsoft Research, Georgia Institute of Technology; Microsoft Research, Stony Brook University; Chesapeake Conservancy; Microsoft Research, Yale University; Stony Brook University; Microsoft Research
Conference: iclr 2019 (main track)
Keywords: weakly supervised segmentation;land cover mapping;medical imaging
Decision: Poster
Title: ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION
Authors: Nuwan Ferdinand, Haider Al-Lawati, Stark Draper, Matthew Nokleby
Affiliations: Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI; Department of Electrical and Computer Engineering, University of Toronto
Conference: iclr 2019 (main track)
Keywords: distributed optimization;gradient descent;minibatch;stragglers
Decision: Poster
Title: Sample Efficient Adaptive Text-to-Speech
Authors: Yutian Chen, Yannis M Assael, Brendan Shillingford, David Budden, Scott Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Caglar Gulcehre, Aaron van den Oord, Oriol Vinyals, Nando de Freitas
Affiliations: DeepMind & Google
Conference: iclr 2019 (main track)
Keywords: few shot;meta learning;text to speech;wavenet
Decision: Poster