hunoutl/paperlists huggingface dataset:
Title: Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Authors: Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher Pal
Affiliations: Microsoft Research Montreal; Montréal Institute for Learning Algorithms (MILA), Université de Montréal, CIFAR Senior Fellow; Montréal Institute for Learning Algorithms (MILA), Université de Montréal, Work done while author was an intern at Microsoft Research Montreal; Montréal Institute for Learning Algorithms (MILA), Ecole Polytechnique de Montréal
Conference: iclr 2018 (main track)
Keywords: distributed sentence representations;multi-task learning
Decision: Poster
Title: Understanding Deep Neural Networks with Rectified Linear Units
Authors: Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee
Affiliations: Department of Applied Mathematics and Statistics, Johns Hopkins University; Department of Computer Science, Johns Hopkins University
Conference: iclr 2018 (main track)
Keywords: expressive power;benefits of depth;empirical risk minimization;global optimality;computational hardness;combinatorial optimization
Decision: Poster
Title: Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
Authors: Abram Friesen, Pedro Domingos
Affiliations: Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA
Conference: iclr 2018 (main track)
Keywords: hard-threshold units;combinatorial optimization;target propagation;straight-through estimation;quantization
Decision: Poster
Title: Spectral Normalization for Generative Adversarial Networks
Authors: Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida
Affiliations: Preferred Networks, Inc.; Ritsumeikan University; National Institute of Informatics
Conference: iclr 2018 (main track)
Keywords: Generative Adversarial Networks;Deep Generative Models;Unsupervised Learning
Decision: Oral
Title: Fidelity-Weighted Learning
Authors: Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schoelkopf
Affiliations: MPI for Intelligent Systems; University of Amsterdam; Google Brain
Conference: iclr 2018 (main track)
Keywords: fidelity-weighted learning;semisupervised learning;weakly-labeled data;teacher-student
Decision: Poster
Title: Don't Decay the Learning Rate, Increase the Batch Size
Authors: Samuel Smith, Pieter-Jan Kindermans, Chris Ying, Quoc V Le
Affiliations: Google Brain
Conference: iclr 2018 (main track)
Keywords: batch size;learning rate;simulated annealing;large batch training;scaling rules;stochastic gradient descent;sgd;imagenet;optimization
Decision: Poster
Title: A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
Authors: Sanjeev Arora, Mikhail Khodak, Nikunj Umesh Saunshi, Kiran Vodrahalli
Affiliations: Princeton University; Columbia University
Conference: iclr 2018 (main track)
Keywords: theory;LSTM;unsupervised learning;word embeddings;compressed sensing;sparse recovery;document representation;text classification
Decision: Poster
Title: Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Authors: Xingjun Ma, Bo Li, Yisen Wang, Sarah Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E Houle, James Bailey
Affiliations: The University of Melbourne, Parkville, Australia; National Institute of Informatics, Tokyo, Japan; University of Michigan, Ann Arbor, USA; Tsinghua University, Beijing, China; University of California, Berkeley, USA
Conference: iclr 2018 (main track)
Keywords: Adversarial Subspace;Local Intrinsic Dimensionality;Deep Neural Networks
Decision: Oral
Title: N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Authors: Anubhav Ashok, Nicholas Rhinehart, Fares Beainy, Kris M Kitani
Affiliations: Robotics Institute, Carnegie Mellon University; Volvo Construction Equipment, Volvo Group
Conference: iclr 2018 (main track)
Keywords: Deep learning;Neural networks;Model compression
Decision: Poster
Title: Divide and Conquer Networks
Authors: Alex Nowak, David Folqué Garcia, Joan Bruna
Affiliations: Courant Institute of Mathematical Sciences, Center for Data Science, New York, NY 10012, USA; Courant Institute of Mathematical Sciences, Center for Data Science, New York University, New York, NY 10012, USA
Conference: iclr 2018 (main track)
Keywords: Neural Networks;Combinatorial Optimization;Algorithms
Decision: Poster
Title: Universal Agent for Disentangling Environments and Tasks
Authors: Jiayuan Mao, Honghua Dong, Joseph J Lim
Affiliations: The Institute for Theoretical Computer Science, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China; Department of Computer Science, University of Southern California, Los Angeles, USA
Conference: iclr 2018 (main track)
Keywords: reinforcement learning;transfer learning
Decision: Poster
Title: Learning to Multi-Task by Active Sampling
Authors: Sahil Sharma, Ashutosh Kumar Jha, Parikshit Hegde, Balaraman Ravindran
Affiliations: Department of Computer Science and Engineering, Indian Institute of Technology, Madras; Department of Mechanical Engineering, Indian Institute of Technology, Madras; Department of Electrical Engineering, Indian Institute of Technology, Madras; Department of Computer Science and Engineering, and Robert Bosch Centre for Data Science and AI (RBC-DSAI), Indian Institute of Technology, Madras
Conference: iclr 2018 (main track)
Keywords: Deep Reinforcement Learning
Decision: Poster
Title: Large Scale Optimal Transport and Mapping Estimation
Authors: Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel
Affiliations: Universit´e de Bretagne Sud, IRISA, UMR 6074, CNRS; Kyoto University, Graduate School of Informatics; NTT Communication Science Laboratories; Universit´e Cˆote d'Azur, Lagrange, UMR 7293, CNRS, OCA
Conference: iclr 2018 (main track)
Keywords: optimal transport;Wasserstein;domain adaptation;generative models;Monge map;optimal mapping
Decision: Poster
Title: Auto-Encoding Sequential Monte Carlo
Authors: Tuan Anh Le, Maximilian Igl, Tom Rainforth, Tom Jin, Frank Wood
Affiliations: Department of Engineering Science, University of Oxford; Department of Statistics, University of Oxford
Conference: iclr 2018 (main track)
Keywords: Variational Autoencoders;Inference amortization;Model learning;Sequential Monte Carlo;ELBOs
Decision: Poster
Title: Synthetic and Natural Noise Both Break Neural Machine Translation
Authors: Yonatan Belinkov, Yonatan Bisk
Affiliations: Computer Science and Artiﬁcial Intelligence Laboratory, Massachusetts Institute of Technology; Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: iclr 2018 (main track)
Keywords: neural machine translation;characters;noise;adversarial examples;robust training
Decision: Oral
Title: CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Authors: Murat Kocaoglu, Christopher Snyder, Alexandros Dimakis, Sriram Vishwanath
Affiliations: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
Conference: iclr 2018 (main track)
Keywords: causality;structural causal models;GANs;conditional GANs;BEGAN;adversarial training
Decision: Poster
Title: Critical Percolation as a Framework to Analyze the Training of Deep Networks
Authors: Zohar Ringel, Rodrigo Andrade de Bem
Affiliations: Racah Institute of Physics, The Hebrew University of Jerusalem; Department of Engineering Science, University of Oxford; Assistant Professor at the Federal University of Rio Grande, Rio Grande, Brazil
Conference: iclr 2018 (main track)
Keywords: Deep Convolutional Networks;Loss function landscape;Graph Structured Data;Training Complexity;Theory of deep learning;Percolation theory;Anderson Localization
Decision: Poster
Title: FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
Authors: Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen
Affiliations: Microsoft Business AI and Research, National Taiwan University; Microsoft Business AI and Research
Conference: iclr 2018 (main track)
Keywords: Attention Mechanism;Machine Comprehension;Natural Language Processing;Deep Learning
Decision: Poster
Title: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Authors: Bo Zong, Qi Song, Martin Min, Wei Cheng, Cristian Lumezanu, Daeki Cho, Haifeng Chen
Affiliations: Washington State University, Pullman; NEC Laboratories America
Conference: iclr 2018 (main track)
Keywords: Density estimation;unsupervised anomaly detection;high-dimensional data;Deep autoencoder;Gaussian mixture modeling;latent low-dimensional space
Decision: Poster
Title: TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN
Authors: Xu Chen, Jiang Wang, Hao Ge
Conference: iclr 2018 (main track)
Keywords: GAN;Primal-Dual Subgradient;Mode Collapse;Saddle Point
Decision: Poster
Title: Deep Rewiring: Training very sparse deep networks
Authors: Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein
Conference: iclr 2018 (main track)
Keywords: deep learning;pruning;LSTM;convolutional networks;recurrent neural network;sparse networks;neuromorphic hardware;energy efficient computing;low memory hardware;stochastic differential equation;fokker-planck equation
Decision: Poster
Title: Guide Actor-Critic for Continuous Control
Authors: Voot Tangkaratt,  , Masashi Sugiyama
Affiliations: RIKEN AIP, Tokyo, Japan; RIKEN AIP, Tokyo, Japan; The University of Tokyo, Tokyo, Japan; The University of Aveiro, Aveiro, Portugal
Conference: iclr 2018 (main track)
Keywords: Reinforcement learning;actor-critic;continuous control
Decision: Poster
Title: Eigenoption Discovery through the Deep Successor Representation
Authors: Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell
Affiliations: University of Massachusetts, Amherst, MA, USA; University of Alberta, Edmonton, AB, Canada; IBM Research, Yorktown Heights, NY, USA
Conference: iclr 2018 (main track)
Keywords: reinforcement learning;options;successor representation;proto-value functions;Atari;Arcade Learning Environment
Decision: Poster
Title: A New Method of Region Embedding for Text Classification
Authors: Chao Qiao, Bo Huang, Guocheng Niu, daren li, daxiang dong, wei he, Dianhai Yu, hua wu
Affiliations: Baidu Inc., Beijing, China; National Engineering Laboratory of Deep Learning Technology and Application, China; Baidu Inc., Beijing, China
Conference: iclr 2018 (main track)
Keywords: region embedding;local context unit;text classification
Decision: Poster
Title: Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Authors: Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
Affiliations: IBM Research AI, Yorktown Heights, NY 10598; Massachusetts Institute of Technology, Cambridge, MA 02139; Tencent AI Lab, Bellevue, WA 98004; University of California, Davis, CA 95616
Conference: iclr 2018 (main track)
Keywords: robustness;adversarial machine learning;neural network;extreme value theory;adversarial example;adversarial perturbation
Decision: Poster
Title: Boosting the Actor with Dual Critic
Authors: Bo Dai, Albert Shaw, Niao He, Lihong Li, Le Song
Affiliations: Google AI; University of Illinois at Urbana-Champaign; Georgia Institute of Technology; Georgia Institute of Technology, Ant Financial Services Group
Conference: iclr 2018 (main track)
Keywords: reinforcement learning;actor-critic algorithm;Lagrangian duality
Decision: Poster
Title: Zero-Shot Visual Imitation
Authors: Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Fred Shentu, Evan Shelhamer, Jitendra Malik, Alexei Efros, Trevor Darrell
Affiliations: UC Berkeley
Conference: iclr 2018 (main track)
Keywords: imitation;zero-shot;self-supervised;robotics;skills;navigation;manipulation;vizdoom;reinforcement
Decision: Oral
Title: Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Authors: Emmanuel d Bezenac, Arthur Pajot, patrick Gallinari
Affiliations: Sorbonne Universités, UMR 7606, LIP6, F-75005 Paris, France
Conference: iclr 2018 (main track)
Keywords: deep learning;physical processes;forecasting;spatio-temporal
Decision: Poster
Title: Parameter Space Noise for Exploration
Authors: Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz
Affiliations: Karlsruhe Institute of Technology (KIT); University of California, Berkeley; OpenAI
Conference: iclr 2018 (main track)
Keywords: reinforcement learning;exploration;parameter noise
Decision: Poster
Title: Automatically Inferring Data Quality for Spatiotemporal Forecasting
Authors: Sungyong Seo, Arash Mohegh, George Ban-Weiss, Yan Liu
Affiliations: Department of Civil and Environmental Engineering, University of Southern California; Department of Computer Science, University of Southern California
Conference: iclr 2018 (main track)
Keywords: spatiotemporal data;graph convolutional network;data quality
Decision: Poster
Title: GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets
Authors: Jinsung Yoon, James Jordan, Mihaela v Schaar
Affiliations: Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Engineering Science, University of Oxford, Oxford, UK; Alan Turing Institute, London, UK; Department of Engineering Science, University of Oxford, Oxford, UK
Conference: iclr 2018 (main track)
Keywords: Individualized Treatment Effects;Counterfactual Estimation;Generative Adversarial Nets
Decision: Poster
Title: Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
Authors: William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew Dai, Shakir Mohamed, Ian Goodfellow
Affiliations: DeepMind; Google Brain
Conference: iclr 2018 (main track)
Keywords: Deep learning;GAN
Decision: Poster
Title: Learning to cluster in order to transfer across domains and tasks
Authors: Yen-Chang Hsu, Zhaoyang Lv, Zsolt Kira
Affiliations: Georgia Tech Research Institute, Atlanta, GA 30318, USA; Georgia Institute of Technology, Atlanta, GA 30332, USA
Conference: iclr 2018 (main track)
Keywords: transfer learning;similarity prediction;clustering;domain adaptation;unsupervised learning;computer vision;deep learning;constrained clustering
Decision: Poster
Title: Learning Discrete Weights Using the Local Reparameterization Trick
Authors: Oran Shayer, Dan Levi, Ethan Fetaya
Affiliations: University of Toronto, Vector Institute; General Motors Advanced Technical Center - Israel, Department of Electrical Engineering, Technion; General Motors Advanced Technical Center - Israel
Conference: iclr 2018 (main track)
Keywords: deep learning;discrete weight network
Decision: Poster
Title: Twin Networks: Matching the Future for Sequence Generation
Authors: Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Christopher Pal, Yoshua Bengio
Affiliations: Microsoft Research, Canada; Ecole Polytechnique, Canada; Montreal Institute for Learning Algorithms (MILA), Canada
Conference: iclr 2018 (main track)
Keywords: generative rnns;long term dependencies;speech recognition;image captioning
Decision: Poster
Title: Towards Reverse-Engineering Black-Box Neural Networks
Authors: Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele
Affiliations: Max-Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Germany
Conference: iclr 2018 (main track)
Keywords: black box;security;privacy;attack;metamodel;adversarial example;reverse-engineering;machine learning
Decision: Poster
Title: Robustness of Classifiers to Universal Perturbations: A Geometric Perspective
Authors: Seyed Mohsen Moosavi Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard, Stefano Soatto
Affiliations: University of California, Los Angeles; École Normale Supérieure de Lyon; École Polytechnique Fédérale de Lausanne
Conference: iclr 2018 (main track)
Keywords: Universal perturbations;robustness;curvature
Decision: Poster
Title: Learning Latent Permutations with Gumbel-Sinkhorn Networks
Authors: gonzalo mena, David Belanger, Scott Linderman, Jasper Snoek
Affiliations: Department of Statistics, Columbia University; Google Brain
Conference: iclr 2018 (main track)
Keywords: Permutation;Latent;Sinkhorn;Inference;Optimal Transport;Gumbel;Softmax;Sorting
Decision: Poster
Title: Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Authors: Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep K Dubey, Jesus Corbal, Nikita Shustrov, Roma Dubtsov, Evarist Fomenko, Vadim Pirogov
Affiliations: Product Architecture Group, Intel, OR; Parallel Computing Lab, Intel Labs, SC; Parallel Computing Lab, Intel Labs, India; Software Services Group, Intel, OR
Conference: iclr 2018 (main track)
Keywords: deep learning training;reduced precision;imagenet;dynamic fixed point
Decision: Poster
Title: Word translation without parallel data
Authors: Guillaume Lample,  , Marc'Aurelio Ranzato,  , Hervé Jégou
Affiliations: Facebook AI Research; Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6
Conference: iclr 2018 (main track)
Keywords: unsupervised learning;machine translation;multilingual embeddings;parallel dictionary induction;adversarial training
Decision: Poster
Title: Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy
Affiliations: New York University, New York, NY 10003; New York Genome Center, New York, NY 10003, USA; Weill Cornell Medicine, Meyer Cancer Center, New York, NY 10065; Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY 10065; Weill Cornell Medicine, Division of Hematology and Medical Oncology, New York, NY 10065
Conference: iclr 2018 (main track)
Keywords: somatic mutation;variant calling;cancer;liquid biopsy;early detection;convolution;deep learning;machine learning;lung cancer;error suppression;mutect
Decision: Workshop
Title: Deep Complex Networks
Authors: Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Joao Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher Pal
Affiliations: Microsoft Research, Montreal; Unknown; Element AI, Montreal; Montreal Institute for Learning Algorithms (MILA), Montreal
Conference: iclr 2018 (main track)
Keywords: deep learning;complex-valued neural networks
Decision: Poster
Title: Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Authors: R. Srikant, Shiyu Liang, Yixuan Li
Affiliations: Facebook Research; Coordinated Science Lab, Department of ECE, University of Illinois at Urbana-Champaign
Conference: iclr 2018 (main track)
Keywords: Neural networks;out-of-distribution detection
Decision: Poster
Title: The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
Authors: Tomer Galanti, Lior Wolf, Sagie Benaim
Affiliations: Facebook AI Research & The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel; The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
Conference: iclr 2018 (main track)
Keywords: Unsupervised learning;cross-domain mapping;Kolmogorov complexity;Occam's razor
Decision: Poster
Title: Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Authors: Rudy Bunel, Matthew Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli
Affiliations: Deepmind; Google; University of Oxford; Microsoft Research
Conference: iclr 2018 (main track)
Keywords: Program Synthesis;Reinforcement Learning;Language Model
Decision: Poster
Title: Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
Authors: Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Affiliations: Centre for Artiﬁcial Intelligence, School of Software, University of Technology Sydney; Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: iclr 2018 (main track)
Keywords: deep learning;attention mechanism;sequence modeling;natural language processing;sentence embedding
Decision: Poster
Title: Action-dependent Control Variates for Policy Optimization via Stein Identity
Authors: Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
Affiliations: Computer Science, University of Texas at Austin, Austin, TX, 78712; Google, Kirkland, WA, 98033; Microsoft, Redmond, WA, 98052; Computer Science, UESTC, Chengdu, China; Computer Science, UIUC, Urbana, IL 61801; Computer science, University of Texas at Austin, Austin, TX, 78712
Conference: iclr 2018 (main track)
Keywords: reinforcement learning;control variates;sample efficiency;variance reduction
Decision: Poster
Title: Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Authors: Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen, Sham M Kakade, Igor Mordatch, Pieter Abbeel
Affiliations: Department of EECS, UC Berkeley; OpenAI; Institute for Transportation Studies, UC Berkeley; Department of CSE, University of Washington
Conference: iclr 2018 (main track)
Keywords: reinforcement learning;policy gradient;variance reduction;baseline;control variates
Decision: Oral
Title: Stochastic Activation Pruning for Robust Adversarial Defense
Authors: Guneet Dhillon, Kamyar Azizzadenesheli, Zachary Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, anima anandkumar
Affiliations: UC Irvine; Amazon AI, Imperial College London; Amazon AI, Caltech; Amazon AI; Amazon AI, UT Austin; Amazon AI, CMU
Conference: iclr 2018 (main track)
Decision: Poster
Title: Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Authors: Jianbo Ye, Xin Lu, Zhe Lin, James Z Wang
Affiliations: College of Information Sciences and Technology, The Pennsylvania State University; Adobe Research
Conference: iclr 2018 (main track)
Keywords: model pruning;batch normalization;convolutional neural network;ISTA
Decision: Poster
Title: Training and Inference with Integers in Deep Neural Networks
Authors: Shuang Wu, Guoqi Li, Feng Chen, Luping Shi
Affiliations: Department of Precision Instrument, Center for Brain Inspired Computing Research, Beijing Innovation Center for Future Chip, Tsinghua University; Department of Automation, Tsinghua University
Conference: iclr 2018 (main track)
Keywords: quantization;training;bitwidth;ternary weights
Decision: Oral
Title: SpectralNet: Spectral Clustering using Deep Neural Networks
Authors: Uri Shaham, Kelly Stanton, Henry Li, Ronen Basri, Boaz Nadler, Yuval Kluger
Affiliations: Weizmann Institute of Science, Rehovot, Israel; Yale University, New Haven, CT, USA
Conference: iclr 2018 (main track)
Keywords: unsupervised learning;spectral clustering;siamese networks
Decision: Poster
Title: Meta-Learning for Semi-Supervised Few-Shot Classification
Authors: Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B Tenenbaum, Hugo Larochelle, Richard Zemel
Affiliations: Princeton University; MIT; University of Toronto; Google Brain
Conference: iclr 2018 (main track)
Keywords: Few-shot learning;semi-supervised learning;meta-learning
Decision: Poster
Title: Learning a neural response metric for retinal prosthesis
Authors: Nishal Shah, Sasidhar Madugula, E.J. Chichilnisky, Yoram Singer, Jonathon Shlens
Affiliations: Stanford University; Google Brain
Conference: iclr 2018 (main track)
Keywords: Metric learning;Computational Neuroscience;Retina;Neural Prosthesis
Decision: Poster
Title: i-RevNet: Deep Invertible Networks
Authors: Joern-Henrik Jacobsen, Arnold W Smeulders, Edouard Oyallon
Affiliations: University of Amsterdam; Now at Bethgelab, University of T ¨ubingen; University of Amsterdam; CVN, CentraleSup ´elec, Universit ´e Paris-Saclay; Galen team, INRIA Saclay; SequeL team, INRIA Lille; DI, ENS, Universit ´e PSL
Conference: iclr 2018 (main track)
Decision: Poster