hunoutl/paperlists huggingface dataset:
Title: Learning Finite State Representations of Recurrent Policy Networks
Authors: Anurag Koul, Alan Fern, Samuel Greydanus
Affiliations: School of EECS, Oregon State University, Corvallis, Oregon, USA; Google Brain, Mountain View, California, USA
Conference: iclr 2019 (main track)
Keywords: recurrent neural networks;finite state machine;quantization;interpretability;autoencoder;moore machine;reinforcement learning;imitation learning;representation;Atari;Tomita
Decision: Poster
Title: Multilingual Neural Machine Translation with Knowledge Distillation
Authors: Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu
Affiliations: Microsoft Research Asia; Key Laboratory of Machine Perception, MOE, School of EECS, Peking University; Zhejiang University
Conference: iclr 2019 (main track)
Keywords: NMT;Multilingual NMT;Knowledge Distillation
Decision: Poster
Title: A Direct Approach to Robust Deep Learning Using Adversarial Networks
Authors: huaxia wang, Chun-Nam Yu
Affiliations: Nokia Bell Labs, 600 Mountain Avenue, Murray Hill, NJ 07974, USA; Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
Conference: iclr 2019 (main track)
Keywords: deep learning;adversarial learning;generative adversarial networks
Decision: Poster
Title: Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency
Authors: Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool
Affiliations: Huawei Noah’s Ark Lab; KU-Leuven/PSI, TRACE (Toyota Res in Europe); KU-Leuven/PSI, ETH Zurich; KU-Leuven/PSI
Conference: iclr 2019 (main track)
Keywords: image-to-image translation;image generation;domain adaptation
Decision: Poster
Title: Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Authors: Rajarshi Das, Tsendsuren Munkhdalai, Eric Yuan, Adam Trischler, Andrew McCallum
Affiliations: College of Information and Computer Sciences, University of Massachusetts, Amherst; Microsoft Research Montréal, Montréal, Québec, Canada
Conference: iclr 2019 (main track)
Keywords: recurrent graph networks;dynamic knowledge base construction;entity state tracking;machine reading comprehension
Decision: Poster
Title: Information asymmetry in KL-regularized RL
Authors: Alexandre Galashov, Siddhant Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess
Affiliations: DeepMind, London, UK
Conference: iclr 2019 (main track)
Keywords: Deep Reinforcement Learning;Continuous Control;RL as Inference
Decision: Poster
Title: TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
Authors: Sicong(Sheldon) Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger Grosse
Affiliations: Dalhousie University, Vector Institute; University of Toronto, Vector Institute
Conference: iclr 2019 (main track)
Keywords: Generative models;Timbre Transfer;Wavenet;CycleGAN
Decision: Poster
Title: Whitening and Coloring Batch Transform for GANs
Authors: Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe
Affiliations: Department of Information Engineering and Computer Science (DISI), University of Trento, Italy
Conference: iclr 2019 (main track)
Keywords: Generative Adversarial Networks;conditional GANs;Batch Normalization
Decision: Poster
Title: On the Sensitivity of Adversarial Robustness to Input Data Distributions
Authors: Gavin Ding, Yik Chau Lui, Xiaomeng Jin, Luyu Wang, Ruitong Huang
Affiliations: Borealis AI, Canada
Conference: iclr 2019 (main track)
Keywords: adversarial robustness;adversarial training;PGD training;adversarial perturbation;input data distribution
Decision: Poster
Title: Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images
Authors: Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix
Affiliations: Center for Brains, Minds, and Machines (CBMM), Department of Brain and Cognitive Sciences, Children’s Hospital, Harvard Medical School, USA; Computer Science and Artificial Intelligence Laboratory, Center for Brains, Minds, and Machines (CBMM), Massachusetts Institute of Technology, USA; Center for Brains, Minds, and Machines (CBMM), Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA
Conference: iclr 2019 (main track)
Decision: Poster
Title: A Statistical Approach to Assessing Neural Network Robustness
Authors: Stefan Webb, Tom Rainforth, Yee Whye Teh, M. Pawan Kumar
Affiliations: Department of Engineering Science, University of Oxford, Alan Turing Institute; Department of Engineering Science, University of Oxford; Department of Statistics, University of Oxford
Conference: iclr 2019 (main track)
Keywords: neural network verification;multi-level splitting;formal verification
Decision: Poster
Title: A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Authors: Jack Lindsey, Samuel Ocko, Surya Ganguli, Stephane Deny
Affiliations: Department of Applied Physics, Stanford; Google Brain, Mountain View, CA
Conference: iclr 2019 (main track)
Keywords: visual system;convolutional neural networks;efficient coding;retina
Decision: Oral
Title: Improving Sequence-to-Sequence Learning via Optimal Transport
Authors: Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
Affiliations: Duke University; Microsoft Dynamics 365 AI Research; Baidu Research; SUNY at Buffalo; Microsoft Research
Conference: iclr 2019 (main track)
Keywords: NLP;optimal transport;sequence to sequence;natural language processing
Decision: Poster
Title: PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees
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: Synthetic data generation;Differential privacy;Generative adversarial networks;Private Aggregation of Teacher ensembles
Decision: Poster
Title: Bayesian Policy Optimization for Model Uncertainty
Authors: Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha Srinivasa
Conference: iclr 2019 (main track)
Keywords: Bayes-Adaptive Markov Decision Process;Model Uncertainty;Bayes Policy Optimization
Decision: Poster
Title: On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
Authors: Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi
Affiliations: IBM Thomas J. Watson Research Center; University of Notre Dame
Conference: iclr 2019 (main track)
Keywords: Quantized Neural Networks;Universial Approximability;Complexity Bounds;Optimal Bit-width
Decision: Poster
Title: ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION
Authors: Yi Chen, Jinglin Chen, Jing Dong, Jian Peng, Zhaoran Wang
Affiliations: Columbia Business School, Columbia University, New York City, NY 10027, USA; Department of Industrial Engineering & Management Science, Northwestern University, Evanston, IL 60201, USA; Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Conference: iclr 2019 (main track)
Decision: Poster
Title: Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
Authors: Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong
Affiliations: School Of Mathematical Science, Peking University; Institute of Computer Science and Technology, Peking University; Beijing International Center for Mathematical Research, Peking University; Center for Data Science, Peking University; Beijing Institute of Big Data Research, Beijing, China
Conference: iclr 2019 (main track)
Keywords: image restoration;differential equation
Decision: Poster
Title: CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild
Authors: Yang Zhang, Hassan Foroosh, Phiip David, Boqing Gong
Affiliations: Tencent A.I. Lab; Department of Computer Science, University of Central Florida; Computational and Information Sciences Directorate, U.S. Army Research Laboratory
Conference: iclr 2019 (main track)
Keywords: Adversarial Attack;Object Detection;Synthetic Simulation
Decision: Poster
Title: Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
Authors: Xiaopeng Li, Zhourong Chen, Leonard Poon, Nevin Zhang
Affiliations: Department of Mathematics & Information Technology, The Education University of Hong Kong; Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
Conference: iclr 2019 (main track)
Keywords: latent tree model;variational autoencoder;deep learning;latent variable model;bayesian network;structure learning;stepwise em;message passing;graphical model;multidimensional clustering;unsupervised learning
Decision: Poster
Title: The Unusual Effectiveness of Averaging in GAN Training
Authors: Yasin YAZICI, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar
Affiliations: Institute for Infocomm Research, A*STAR; Nanyang Technological University (NTU); National University of Singapore (NUS); Singapore University of Technology and Design
Conference: iclr 2019 (main track)
Keywords: Generative Adversarial Networks (GANs);Moving Average;Exponential Moving Average;Convergence;Limit Cycles
Decision: Poster
Title: Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
Authors: Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson
Affiliations: McGill University; Carnegie Mellon University; University of Toronto
Conference: iclr 2019 (main track)
Keywords: adversarial examples;norm-balls;differentiable renderer
Decision: Poster
Title: Diversity is All You Need: Learning Skills without a Reward Function
Authors: Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, Sergey Levine
Affiliations: UC Berkeley, Google Brain; Carnegie Mellon University, Google Brain; Google Brain; UC Berkeley
Conference: iclr 2019 (main track)
Keywords: reinforcement learning;unsupervised learning;skill discovery
Decision: Poster
Title: Learning to Schedule Communication in Multi-agent Reinforcement Learning
Authors: Daewoo Kim, Sangwoo Moon, David Earl Hostallero, Wan Ju Kang, Taeyoung Lee, Kyunghwan Son, Yung Yi
Affiliations: School of Electrical Engineering, KAIST
Conference: iclr 2019 (main track)
Keywords: Multi agent reinforcement learning;deep reinforcement learning;Communication
Decision: Poster
Title: Multi-class classification without multi-class labels
Authors: Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira
Affiliations: Georgia Institute of Technology; Georgia Tech Research Institute; Georgia Institute of Technology and Georgia Tech Research Institute
Conference: iclr 2019 (main track)
Keywords: classification;unsupervised learning;semi-supervised learning;problem reduction;weak supervision;cross-task;learning;deep learning;neural network
Decision: Poster
Title: What do you learn from context? Probing for sentence structure in contextualized word representations
Authors: Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, Tom McCoy, Najoung Kim, Benjamin Van Durme, Sam Bowman, Dipanjan Das, Ellie Pavlick
Affiliations: New York University; Brown University; Swarthmore College; Google AI Language; Johns Hopkins University
Conference: iclr 2019 (main track)
Keywords: natural language processing;word embeddings;transfer learning;interpretability
Decision: Poster
Title: Spectral Inference Networks: Unifying Deep and Spectral Learning
Authors: David Pfau, Stig Petersen, Ashish Agarwal, David Barrett, Kimberly Stachenfeld
Affiliations: DeepMind; Google Brain
Conference: iclr 2019 (main track)
Keywords: spectral learning;unsupervised learning;manifold learning;dimensionality reduction
Decision: Poster
Title: PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Authors: Jan Svoboda, Jonathan Masci, Federico Monti, Michael Bronstein, Leonidas Guibas
Affiliations: USI, Switzerland; Fabula AI, UK; Intel Perceptual Computing, Israel; NNAISENSE, Switzerland; Stanford University, USA; Imperial College London, UK
Conference: iclr 2019 (main track)
Keywords: peernet;peernets;graph;geometric deep learning;adversarial;perturbation;defense;peer regularization
Decision: Poster
Title: Attentive Neural Processes
Authors: Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
Affiliations: DeepMind, University of Oxford; DeepMind
Conference: iclr 2019 (main track)
Keywords: Neural Processes;Conditional Neural Processes;Stochastic Processes;Regression;Attention
Decision: Poster
Title: Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers
Authors: Alexander (Oleksandr) Shekhovtsov, Boris Flach
Affiliations: Department of Cybernectics, Czech Technical University in Prague
Conference: iclr 2019 (main track)
Keywords: probabilistic neural network;uncertainty;dropout;bayesian;softmax;argmax;logsumexp
Decision: Poster
Title: Poincare Glove: Hyperbolic Word Embeddings
Authors: Alexandru Tifrea, Gary Bécigneul, Octavian Ganea
Affiliations: Department of Computer Science, ETH Zürich, Switzerland
Conference: iclr 2019 (main track)
Keywords: word embeddings;hyperbolic spaces;poincare ball;hypernymy;analogy;similarity;gaussian embeddings
Decision: Poster
Title: Episodic Curiosity through Reachability
Authors: Nikolay Savinov, Anton Raichuk, Damien Vincent, Raphaël Marinier, Marc Pollefeys, Timothy Lillicrap, Sylvain Gelly
Affiliations: ETH Zürich; DeepMind; Google Brain
Conference: iclr 2019 (main track)
Keywords: deep learning;reinforcement learning;curiosity;exploration;episodic memory
Decision: Poster
Title: Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Authors: Wieland Brendel, Matthias Bethge
Affiliations: Eberhard Karls University of Tübingen, Germany; Werner Reichardt Centre for Integrative Neuroscience, Tübingen, Germany; Bernstein Center for Computational Neuroscience, Tübingen, Germany
Conference: iclr 2019 (main track)
Keywords: interpretability;representation learning;bag of features;deep learning;object recognition
Decision: Poster
Title: On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
Authors: Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos Storkey
Affiliations: Facebook AI Research; School of Informatics, University of Edinburgh; Ruhr University Bochum; Jagiellonian University; Mila / University of Montreal
Conference: iclr 2019 (main track)
Keywords: optimization;generalization;theory of deep learning;SGD;hessian
Decision: Poster
Title: Modeling the Long Term Future in Model-Based Reinforcement Learning
Authors: Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra
Affiliations: Facebook AI Research; Georgia Institute of Technology; CIFAR Senior Fellow; Mila, Universit é de Montréal; Polytechnique Montréal
Conference: iclr 2019 (main track)
Keywords: model-based reinforcement learning;variation inference
Decision: Poster
Title: Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Authors: Penghang Yin, Jiancheng Lyu, shuai zhang, Stanley J Osher, YINGYONG QI, Jack Xin
Affiliations: Qualcomm AI Research, San Diego; Department of Mathematics, University of California, Irvine; Department of Mathematics, University of California, Los Angeles
Conference: iclr 2019 (main track)
Keywords: straight-through estimator;quantized activation;binary neuron
Decision: Poster
Title: LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos
Authors: Elke Kirschbaum, Manuel Haussmann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A Hamprecht
Affiliations: Interdisciplinary Center for Scientiﬁc Computing (IWR), Heidelberg University, Germany; Institute for Anatomy and Cell Biology, Heidelberg University, Germany; Institute of Physiology and Pathophysiology, Heidelberg University, Germany; Dept. Theoretical Neuroscience, Central Institute of Mental Health, Mannheim, Germany
Conference: iclr 2019 (main track)
Keywords: VAE;unsupervised learning;neuronal assemblies;calcium imaging analysis
Decision: Poster
Title: Multi-Domain Adversarial Learning
Authors: Alice Schoenauer Sebag, Louise E Heinrich, Marc Schoenauer, Michele Sebag, Lani Wu, Steven Altschuler
Affiliations: Department of Pharmaceutical Chemistry, UCSF, San Francisco, CA 94158; INRIA-CNRS-UPSud-UPSaclay, TAU, U. Paris-Sud, 91405 Orsay
Conference: iclr 2019 (main track)
Keywords: multi-domain learning;domain adaptation;adversarial learning;H-divergence;deep representation learning;high-content microscopy
Decision: Poster
Title: ProMP: Proximal Meta-Policy Search
Authors: Jonas Rothfuss, Dennis Lee, Ignasi Clavera, Tamim Asfour, Pieter Abbeel
Affiliations: Karlsruhe Inst. of Technology (KIT); UC Berkeley, KIT; UC Berkeley, Covariant.ai; UC Berkeley
Conference: iclr 2019 (main track)
Keywords: Meta-Reinforcement Learning;Meta-Learning;Reinforcement-Learning
Decision: Poster
Title: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
Authors: Vitalii Zhelezniak, Aleksandar D Savkov, April Shen, Francesco Moramarco, Jack Flann, Nils Hammerla
Affiliations: Babylon Health
Conference: iclr 2019 (main track)
Keywords: word vectors;sentence representations;distributed representations;fuzzy sets;bag-of-words;unsupervised learning;word vector compositionality;max-pooling;Jaccard index
Decision: Poster
Title: Stable Opponent Shaping in Differentiable Games
Authors: Alistair Letcher, Jakob Foerster, David Balduzzi, Tim Rocktaeschel, Shimon Whiteson
Affiliations: University of Oxford; DeepMind; University College London
Conference: iclr 2019 (main track)
Keywords: multi-agent learning;multiple interacting losses;opponent shaping;exploitation;convergence
Decision: Poster
Title: Learning to Describe Scenes with Programs
Authors: Yunchao Liu, Zheng Wu, Daniel Ritchie, William Freeman, Joshua B Tenenbaum, Jiajun Wu
Affiliations: IIIS, Tsinghua University; Brown University; MIT CSAIL, Google Research; MIT CSAIL, Shanghai Jiao Tong University; MIT CSAIL
Conference: iclr 2019 (main track)
Keywords: Structured scene representations;program synthesis
Decision: Poster
Title: LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING
Authors: Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang
Affiliations: KAIST; University of Oxford; AITRICS; CAI, University of Technology Sydney
Conference: iclr 2019 (main track)
Keywords: few-shot learning;meta-learning;label propagation;manifold learning
Decision: Poster
Title: Improving the Generalization of Adversarial Training with Domain Adaptation
Authors: Chuanbiao Song, Kun He, Liwei Wang, John E Hopcroft
Affiliations: Department of Machine Intelligence, Peking University; Department of Computer Science, Huazhong University of Science and Technology, Wuhan 430074, China; Department of Computer Science, Cornell University, Ithaca 14850, NY, USA
Conference: iclr 2019 (main track)
Keywords: adversarial training;domain adaptation;adversarial example;deep learning
Decision: Poster
Title: Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
Authors: Marc T Law, Jake Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard Zemel
Affiliations: Vector Institute, Canada; University of Toronto, Canada; Vector Institute, Canada; CIFAR Senior Fellow; University of Toronto, Canada; Vector Institute, Canada; Uber ATG, Canada; University of Toronto, Canada; Vector Institute, Canada
Conference: iclr 2019 (main track)
Keywords: metric learning;distance learning;dimensionality reduction;bound guarantees
Decision: Poster
Title: Learning protein sequence embeddings using information from structure
Authors: Tristan Bepler, Bonnie Berger
Affiliations: Computer Science and Artiﬁcial Intelligence Laboratory, Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Computational and Systems Biology, Computer Science and Artiﬁcial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Conference: iclr 2019 (main track)
Keywords: sequence embedding;sequence alignment;RNN;LSTM;protein structure;amino acid sequence;contextual embeddings;transmembrane prediction
Decision: Poster
Title: Biologically-Plausible Learning Algorithms Can Scale to Large Datasets
Authors: Wu Xiao, HONGLIN CHEN, Qianli Liao, Tomaso Poggio
Affiliations: Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA; Department of Mathematics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Center for Brains, Minds and Machines, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Conference: iclr 2019 (main track)
Keywords: biologically plausible learning algorithm;ImageNet;sign-symmetry;feedback alignment
Decision: Poster
Title: Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
Authors: Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, richard socher
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA; Salesforce Research, Palo Alto, CA
Conference: iclr 2019 (main track)
Keywords: question answering;reading comprehension;nlp;natural language processing;attention;representation learning
Decision: Poster
Title: Learning a Meta-Solver for Syntax-Guided Program Synthesis
Authors: Xujie Si, Yuan Yang, Hanjun Dai, Mayur Naik, Le Song
Affiliations: Georgia Institute of Technology; University of Pennsylvania
Conference: iclr 2019 (main track)
Keywords: Syntax-guided Synthesis;Context Free Grammar;Logical Specification;Representation Learning;Meta Learning;Reinforcement Learning
Decision: Poster
Title: Learning what you can do before doing anything
Authors: Oleh Rybkin, Karl Pertsch, Kosta Derpanis, Kostas Daniilidis, Andrew Jaegle
Affiliations: Ryerson University; University of Southern California; University of Pennsylvania
Conference: iclr 2019 (main track)
Keywords: unsupervised learning;vision;motion;action space;video prediction;variational models
Decision: Poster
Title: Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
Authors: Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Yingnian Wu
Affiliations: University of California, Los Angeles, USA; Hikvision Research Institute, Santa Clara, USA
Conference: iclr 2019 (main track)
Decision: Poster
Title: Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
Authors: Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang
Affiliations: University of Science and Technology of China; University of Iowa; JD AI Research
Conference: iclr 2019 (main track)
Keywords: optimization;sgd;adagrad
Decision: Poster
Title: Invariant and Equivariant Graph Networks
Authors: Haggai Maron, Heli Ben-Hamu, Nadav Shamir, Yaron Lipman
Affiliations: Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
Conference: iclr 2019 (main track)
Keywords: graph learning;equivariance;deep learning
Decision: Poster
Title: Feature Intertwiner for Object Detection
Authors: Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang
Affiliations: Department of Electronic Engineering, The Chinese University of Hong Kong; Department of Information Engineering, The Chinese University of Hong Kong; The University of Sydney, SenseTime Computer Vision Research Group
Conference: iclr 2019 (main track)
Keywords: feature learning;computer vision;deep learning
Decision: Poster