hunoutl/paperlists huggingface dataset:
Title: DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Authors: Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim
Affiliations: Hong Kong University of Science and Technology, Clova AI Research, NAVER; Clova AI Research, NAVER; New York University, CIFAR Azrieli Global Scholar
Conference: iclr 2019 (main track)
Keywords: dialogue;GAN;VAE;WAE;chatbot
Decision: Poster
Title: Neural Graph Evolution: Towards Efficient Automatic Robot Design
Authors: Tingwu Wang, Yuhao Zhou, Sanja Fidler, Jimmy Ba
Affiliations: Department of Computer Science, University of Toronto; Vector Institute; Department of Computer Science, University of Toronto; Vector Institute; NVIDIA
Conference: iclr 2019 (main track)
Keywords: Reinforcement learning;graph neural networks;robotics;deep learning;transfer learning
Decision: Poster
Title: Function Space Particle Optimization for Bayesian Neural Networks
Authors: Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
Affiliations: Department of Computer Science & Technology, Institute for Artiﬁcial Intelligence, State Key Lab for Intell. Tech. & Sys., BNRist Center, THBI Lab, Tsinghua University
Conference: iclr 2019 (main track)
Keywords: Bayesian neural networks;uncertainty estimation;variational inference
Decision: Poster
Title: Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Authors: Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin
Affiliations: University of California, Los Angeles, USA; Northeastern University, USA; MIT-IBM Watson AI Lab, IBM Research, USA
Conference: iclr 2019 (main track)
Decision: Poster
Title: Spherical CNNs on Unstructured Grids
Authors: Chiyu Jiang, Jingwei Huang, Karthik Kashinath, Mr Prabhat, Philip Marcus, Matthias Niessner
Affiliations: Stanford University; Lawrence Berkeley Nat’l Lab; Technical University of Munich; UC Berkeley
Conference: iclr 2019 (main track)
Keywords: Spherical CNN;unstructured grid;panoramic;semantic segmentation;parameter efficiency
Decision: Poster
Title: Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models
Authors: Eirikur Agustsson, Alexander Sage, Radu Timofte, Luc Van Gool
Affiliations: Computer Vision Lab, ETH Zurich, Switzerland
Conference: iclr 2019 (main track)
Keywords: generative models;optimal transport;distribution preserving operations
Decision: Poster
Title: Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Authors: Michael Lutter, Christian Ritter, Jan Peters
Affiliations: Department of Computer Science, Technische Universität Darmstadt, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany; Department of Computer Science, Technische Universität Darmstadt, Germany
Conference: iclr 2019 (main track)
Keywords: Deep Model Learning;Robot Control
Decision: Poster
Title: Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
Authors: Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh Shanbhag, Kailash Gopalakrishnan
Affiliations: Dept. of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign; IBM T.J. Watson Research Center
Conference: iclr 2019 (main track)
Keywords: reduced precision floating-point;partial sum accumulation bit-width;deep learning;training
Decision: Poster
Title: Learning deep representations by mutual information estimation and maximization
Authors: R Devon Hjelm, Alex Fedorov, Samuel Lavoie, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio
Affiliations: MSR Montreal; MILA, UdeM, IV ADO, CIFAR; MRN, UNM; MSR Montreal, MILA, UdeM, IV ADO; MILA, UdeM; U Toronto
Conference: iclr 2019 (main track)
Keywords: representation learning;unsupervised learning;deep learning
Decision: Oral
Title: The Deep Weight Prior
Authors: Andrei Atanov, Arsenii Ashukha, Kirill Struminsky, Dmitry P. Vetrov, Max Welling
Affiliations: Skolkovo Institute of Science and Technology, Samsung-HSE Laboratory, National Research University Higher School of Economics; Samsung AI Center Moscow; University of Amsterdam, Canadian Institute for Advanced Research; Skolkovo Institute of Science and Technology, National Research University Higher School of Economics; Samsung AI Center Moscow, Samsung-HSE Laboratory, National Research University Higher School of Economics
Conference: iclr 2019 (main track)
Keywords: deep learning;variational inference;prior distributions
Decision: Poster
Title: Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution
Authors: Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
Affiliations: Bosch Center for Artiﬁcial Intelligence and University of Freiburg; University of Freiburg; Bosch Center for Artiﬁcial Intelligence
Conference: iclr 2019 (main track)
Keywords: Neural Architecture Search;AutoML;AutoDL;Deep Learning;Evolutionary Algorithms;Multi-Objective Optimization
Decision: Poster
Title: Quaternion Recurrent Neural Networks
Authors: Titouan Parcollet, Mirco Ravanellu, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori, Yoshua Bengio
Affiliations: MILA, Université de Montréal, Québec, Canada; LIA, Université d’Avignon, France
Conference: iclr 2019 (main track)
Keywords: Quaternion recurrent neural networks;quaternion numbers;recurrent neural networks;speech recognition
Decision: Poster
Title: Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Authors: Tiago Ramalho, Marta Garnelo
Affiliations: Cogent Labs; DeepMind
Conference: iclr 2019 (main track)
Keywords: metalearning;memory;few-shot;relational;self-attention;classification;sequential;reasoning;working memory;episodic memory
Decision: Poster
Title: KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
Authors: James Jordon, Jinsung Yoon, Mihaela Schaar
Affiliations: University of Cambridge, UK; Department of Electrical and Computer Engineering, UCLA, California, USA; Alan Turing Institute, London, UK; Department of Electrical and Computer Engineering, UCLA, California, USA; Engineering Science Department, University of Oxford, UK
Conference: iclr 2019 (main track)
Keywords: Knockoff model;Feature selection;False discovery rate control;Generative Adversarial networks
Decision: Oral
Title: Probabilistic Planning with Sequential Monte Carlo methods
Authors: Alexandre Piche, Valentin Thomas, Cyril Ibrahim, Yoshua Bengio, Christopher Pal
Affiliations: Mila, Université de Montréal; Element AI; Mila, Polytechnique Montréal
Conference: iclr 2019 (main track)
Keywords: control as inference;probabilistic planning;sequential monte carlo;model based reinforcement learning
Decision: Poster
Title: Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Authors: Kendall Lowrey, Aravind Rajeswaran, Sham M Kakade, Emanuel Todorov, Igor Mordatch
Affiliations: University of Washington, Roboti LLC; University of Washington; OpenAI
Conference: iclr 2019 (main track)
Keywords: deep reinforcement learning;exploration;model-based
Decision: Poster
Title: FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Authors: Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
Affiliations: Allen Institute for Artiﬁcial Intelligence; University of Washington; California Institute of Technology
Conference: iclr 2019 (main track)
Keywords: Machine Comprehension;Conversational Agent;Natural Language Processing;Deep Learning
Decision: Poster
Title: Learning to Design RNA
Authors: Frederic Runge, Danny Stoll, Stefan Falkner, Frank Hutter
Affiliations: Department of Computer Science, University of Freiburg; Department of Computer Science, University of Freiburg; Bosch Center for Artiﬁcial Intelligence, Robert Bosch GmbH
Conference: iclr 2019 (main track)
Keywords: matter engineering;bioinformatics;rna design;reinforcement learning;meta learning;neural architecture search;hyperparameter optimization
Decision: Poster
Title: Learning Protein Structure with a Differentiable Simulator
Authors: John Ingraham, Adam J Riesselman, Chris Sander, Debora Marks
Affiliations: Harvard Medical School; Harvard Medical School, Broad Institute of Harvard and MIT; Harvard Medical School, Present address: Massachusetts Institute of Technology; Harvard Medical School, Dana-Farber Cancer Institute, Broad Institute of Harvard and MIT
Conference: iclr 2019 (main track)
Keywords: generative models;simulators;molecular modeling;proteins;structured prediction
Decision: Oral
Title: The role of over-parametrization in generalization of neural networks
Authors: Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli, Yann LeCun, Nathan Srebro
Affiliations: School of Mathematics, Institute for Advanced Study, Princeton, NJ 08540; Toyota Technological Institute at Chicago, Chicago, IL 60637; Department of Computer Science, New York University, New York, NY 10012; Department of Computer Science, Princeton University, Princeton, NJ 08540
Conference: iclr 2019 (main track)
Keywords: Generalization;Over-Parametrization;Neural Networks;Deep Learning
Decision: Poster
Title: ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Authors: Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix Wichmann, Wieland Brendel
Affiliations: University of Tübingen & U. of Edinburgh; University of Tübingen; University of Tübingen & IMPRS-IS
Conference: iclr 2019 (main track)
Keywords: deep learning;psychophysics;representation learning;object recognition;robustness;neural networks;data augmentation
Decision: Oral
Title: Diffusion Scattering Transforms on Graphs
Authors: Fernando Gama, Alejandro Ribeiro, Joan Bruna
Affiliations: Dept. of Electrical and Systems Engineering, University of Pennsylvania; Courant Institute of Mathematical Sciences, New York University
Conference: iclr 2019 (main track)
Keywords: graph neural networks;deep learning;stability;scattering transforms;convolutional neural networks
Decision: Poster
Title: Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Authors: Haichuan Yang, Yuhao Zhu, Ji Liu
Affiliations: Department of Computer Science, University of Rochester, Rochester, USA; Department of Computer Science, University of Rochester, Rochester, USA; Kwai AI Lab at Seattle, Seattle, USA
Conference: iclr 2019 (main track)
Keywords: model compression;inference energy saving;deep neural network pruning
Decision: Poster
Title: Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
Authors: Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf
Affiliations: Facebook AI Research & The School of Computer Science, Tel Aviv University; The School of Computer Science, Tel Aviv University
Conference: iclr 2019 (main track)
Keywords: Image-to-image Translation;Disentanglement;Autoencoders;Faces
Decision: Poster
Title: SGD Converges to Global Minimum in Deep Learning via Star-convex Path
Authors: Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, VAHID TAROKH
Affiliations: University of Science and Technology of China; Duke University; Microsoft Research, Asia; The Ohio State University
Conference: iclr 2019 (main track)
Keywords: SGD;deep learning;global minimum;convergence
Decision: Poster
Title: Transfer Learning for Sequences via Learning to Collocate
Authors: Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang
Affiliations: Shanghai Key Laboratory of Data Science, Fudan University; Shanghai Key Laboratory of Intelligent Information Processing, Fudan University; Shanghai University of Finance and Economics
Conference: iclr 2019 (main track)
Keywords: transfer learning;recurrent neural network;attention;natural language processing
Decision: Poster
Title: Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
Authors: Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu
Affiliations: Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Tencent AI Lab, Bellevue, WA 98004, USA
Conference: iclr 2019 (main track)
Keywords: Unsupervised speech recognition;unsupervised learning;phoneme classification
Decision: Poster
Title: Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection
Authors: Tue Le, Tuan Nguyen, Trung Le, Dinh Phung, Paul Montague, Olivier Vel, Lizhen Qu
Affiliations: Monash University, Australia; Defence Science and Technology Group, Department of Defence, Australia; AI Research Lab, Trusting Social, Australia; Data61, CSIRO, Australia
Conference: iclr 2019 (main track)
Keywords: Vulnerabilities Detection;Sequential Auto-Encoder;Separable Representation
Decision: Poster
Title: Neural Program Repair by Jointly Learning to Localize and Repair
Authors: Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh
Affiliations: Google Brain, USA; University of Texas at Austin, USA; Google Brain, USA; IISc Bangalore, India; Google Brain, USA
Conference: iclr 2019 (main track)
Keywords: neural program repair;neural program embeddings;pointer networks
Decision: Poster
Title: Attention, Learn to Solve Routing Problems!
Authors: Wouter Kool, Herke van Hoof, Max Welling
Affiliations: University of Amsterdam, ORTEC; University of Amsterdam; University of Amsterdam, CIFAR
Conference: iclr 2019 (main track)
Keywords: learning;routing problems;heuristics;attention;reinforce;travelling salesman problem;vehicle routing problem;orienteering problem;prize collecting travelling salesman problem
Decision: Poster
Title: Improving Generalization and Stability of Generative Adversarial Networks
Authors: Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
Affiliations: hoangtha@deakin.edu.au; truyen.tran@deakin.edu.au; svetha.venkatesh@deakin.edu.au
Conference: iclr 2019 (main track)
Keywords: GAN;generalization;gradient penalty;zero centered;convergence
Decision: Poster
Title: FROM DEEP LEARNING TO DEEP DEDUCING: AUTOMATICALLY TRACKING DOWN NASH EQUILIBRIUM THROUGH AUTONOMOUS NEURAL AGENT, A POSSIBLE MISSING STEP TOWARD GENERAL A.I.
Conference: iclr 2019 (main track)
Keywords: Reinforcement Learning;Deep Feed-forward Neural Network;Recurrent Neural Network;Game Theory;Control Theory;Nash Equilibrium;Optimization
Decision: Reject
Title: Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Authors: Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, and Karsten Borwardt 
Affiliations: Department of Biosystems Science and Engineering, ETH Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, Switzerland
Conference: iclr 2019 (main track)
Keywords: Algebraic topology;persistent homology;network complexity;neural network
Decision: Poster
Title: Neural TTS Stylization with Adversarial and Collaborative Games
Authors: shuang ma, Daniel McDuff, Yale Song
Affiliations: State University of New York at Buffalo, Buffalo, NY; Microsoft Cloud & AI, Redmond, WA; Microsoft Research, Redmond, WA
Conference: iclr 2019 (main track)
Keywords: Text-To-Speech synthesis;GANs
Decision: Poster
Title: CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
Authors: Florian Mai, Lukas Galke, Ansgar Scherp
Affiliations: Kiel University / ZBW, Germany; Idiap Research Institute, Martigny, Switzerland; University of Essex, United Kingdom
Conference: iclr 2019 (main track)
Keywords: Text representation learning;Sentence embedding;Efficient training scheme;word2vec
Decision: Poster
Title: Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
Authors: Taiji Suzuki
Affiliations: The University of Tokyo, Tokyo, Japan; Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan; Japan Digital Design, Tokyo, Japan
Conference: iclr 2019 (main track)
Keywords: deep learning theory;approximation analysis;generalization error analysis;Besov space;minimax optimality
Decision: Poster
Title: Graph Wavelet Neural Network
Authors: Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng
Affiliations: CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences; School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China
Conference: iclr 2019 (main track)
Keywords: graph convolution;graph wavelet transform;graph Fourier transform;semi-supervised learning
Decision: Poster
Title: A rotation-equivariant convolutional neural network model of primary visual cortex
Authors: Alexander Ecker, Fabian H Sinz, Emmanouil Froudarakis, Paul Fahey, Santiago Cadena, Edgar Walker, Erick M Cobos, Jacob Reimer, Andreas Tolias, Matthias Bethge
Conference: iclr 2019 (main track)
Keywords: rotation equivariance;equivariance;primary visual cortex;V1;neuroscience;system identification
Decision: Poster
Title: Supervised Community Detection with Line Graph Neural Networks
Authors: Zhengdao Chen, Xiang Li, Joan Bruna
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY; Amplify Partners, San Francisco, CA
Conference: iclr 2019 (main track)
Keywords: community detection;graph neural networks;belief propagation;energy landscape;non-backtracking matrix
Decision: Poster
Title: Multiple-Attribute Text Rewriting
Authors: Guillaume Lample, Sandeep Subramanian, Eric Smith, Ludovic Denoyer, Marc'Aurelio Ranzato, Y-Lan Boureau
Affiliations: Facebook AI Research; Facebook AI Research, Sorbonne Universit ´es, UPMC Univ Paris 06; MILA, Universit ´e de Montr ´eal
Conference: iclr 2019 (main track)
Keywords: controllable text generation;generative models;conditional generative models;style transfer
Decision: Poster
Title: Wasserstein Barycenter Model Ensembling
Authors: Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero Nogueira dos Santos, Tom Sercu
Affiliations: IBM Research & MIT-IBM Watson AI Lab
Conference: iclr 2019 (main track)
Keywords: Wasserstein barycenter model ensembling
Decision: Poster
Title: Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Authors: Johannes Gasteiger, Aleksandar Bojchevski, Stephan Günnemann
Affiliations: Technical University of Munich, Germany
Conference: iclr 2019 (main track)
Keywords: Graph;GCN;GNN;Neural network;Graph neural network;Message passing neural network;Semi-supervised classification;Semi-supervised learning;PageRank;Personalized PageRank
Decision: Poster
Title: Slimmable Neural Networks
Authors: Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas Huang
Affiliations: University of Illinois at Urbana-Champaign; ByteDance Inc.; Snap Inc.
Conference: iclr 2019 (main track)
Keywords: Slimmable neural networks;mobile deep learning;accuracy-efficiency trade-offs
Decision: Poster
Title: RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
Authors: Xiuyuan Cheng, Qiang Qiu, Robert Calderbank, Guillermo Sapiro
Affiliations: Department of Mathematics, Department of Electrical & Computer Engineering, Duke University, Durham, NC 27708, USA
Conference: iclr 2019 (main track)
Decision: Poster
Title: Dynamic Sparse Graph for Efficient Deep Learning
Authors: Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
Affiliations: Department of Computer Science, University of California, Santa Barbara; Center for Brain Inspired Computing Research, Department of Precision Instrument, Tsinghua University; Department of Electrical and Computer Engineering, University of California, Santa Barbara
Conference: iclr 2019 (main track)
Keywords: Sparsity;compression;training;acceleration
Decision: Poster
Title: ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
Authors: Hao He, Hao Wang, Guang-He Lee, Yonglong Tian
Affiliations: Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Conference: iclr 2019 (main track)
Keywords: Generative Adversarial Networks;Bayesian Deep Learning;Mode Collapse;Inception Score;Generator;Discriminator;CIFAR-10;STL-10;ImageNet
Decision: Poster
Title: Unsupervised Learning of the Set of Local Maxima
Authors: Lior Wolf, Sagie Benaim, Tomer Galanti
Affiliations: The School of Computer Science, Tel Aviv University; Facebook AI Research & The School of Computer Science, Tel Aviv University
Conference: iclr 2019 (main track)
Keywords: Unsupervised Learning;One-class Classification;Multi-player Optimization
Decision: Poster
Title: On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Authors: Xiangyi Chen, Sijia Liu, Ruoyu Sun, Mingyi Hong
Affiliations: ECE, University of Minnesota - Twin Cities; MIT-IBM Watson AI Lab, IBM Research; ISE, University of Illinois at Urbana-Champaign
Conference: iclr 2019 (main track)
Keywords: nonconvex optimization;Adam;convergence analysis
Decision: Poster
Title: GANSynth: Adversarial Neural Audio Synthesis
Authors: Jesse Engel, Kumar Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts
Affiliations: Google AI, Mountain View, CA 94043, USA
Conference: iclr 2019 (main track)
Keywords: GAN;Audio;WaveNet;NSynth;Music
Decision: Poster
Title: Sliced Wasserstein Auto-Encoders
Authors: Soheil Kolouri, Phillip Pope, Charles Martin, Gustavo Rohde
Affiliations: Department of Electrical Engineering, University of Virginia, Charlottesville, VA, USA; Information and Systems Sciences Laboratory, HRL Laboratories, LLC., Malibu, CA, USA
Conference: iclr 2019 (main track)
Keywords: optimal transport;Wasserstein distances;auto-encoders;unsupervised learning
Decision: Poster
Title: Learning Two-layer Neural Networks with Symmetric Inputs
Authors: Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang
Affiliations: Computer Science Department, Duke University; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: iclr 2019 (main track)
Keywords: Neural Network;Optimization;Symmetric Inputs;Moment-of-moments
Decision: Poster
Title: Learning to Understand Goal Specifications by Modelling Reward
Authors: Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Arian Hosseini, Pushmeet Kohli, Edward Grefenstette
Affiliations: Mila, Université de Montréal; DeepMind
Conference: iclr 2019 (main track)
Keywords: instruction following;reward modelling;language understanding
Decision: Poster
Title: Do Deep Generative Models Know What They Don't Know?
Authors: Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Gorur, Balaji Lakshminarayanan
Affiliations: DeepMind
Conference: iclr 2019 (main track)
Keywords: deep generative models;out-of-distribution inputs;flow-based models;uncertainty;density
Decision: Poster
Title: Identifying and Controlling Important Neurons in Neural Machine Translation
Authors: David A Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R Glass
Affiliations: Qatar Computing Research Institute, HBKU Research Complex, Doha 5825, Qatar; MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA 02139, USA
Conference: iclr 2019 (main track)
Keywords: neural machine translation;individual neurons;unsupervised;analysis;correlation;translation control;distributivity;localization
Decision: Poster
Title: Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks
Authors: Joshua Michalenko, Ameesh Shah, Abhinav Verma, Richard Baraniuk, Swarat Chaudhuri, Ankit B Patel
Affiliations: Baylor College of Medicine, Rice University; Rice University
Conference: iclr 2019 (main track)
Keywords: Language recognition;Recurrent Neural Networks;Representation Learning;deterministic finite automaton;automaton
Decision: Poster
Title: Latent Convolutional Models
Authors: ShahRukh Athar, Evgeny Burnaev, Victor Lempitsky
Affiliations: Skolkovo Institute of Science and Technology (Skoltech), Russia; Currently at Stony Brook University.; Skolkovo Institute of Science and Technology (Skoltech), Russia; Skolkovo Institute of Science and Technology (Skoltech), Russia; Currently also with Samsung AI Center, Moscow.
Conference: iclr 2019 (main track)
Keywords: latent models;convolutional networks;unsupervised learning;deep learning;modeling natural images;image restoration
Decision: Poster