hunoutl/paperlists huggingface dataset:
Title: Kernel RNN Learning (KeRNL)
Authors: Christopher Roth, Ingmar Kanitscheider, Ila Fiete
Affiliations: Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139; Department of Physics, University of Texas at Austin, Austin, TX, 78712; Department of Neuroscience, University of Texas at Austin, Austin, TX, 78712
Conference: iclr 2019 (main track)
Keywords: RNNs;Biologically plausible learning rules;Algorithm;Neural Networks;Supervised Learning
Decision: Poster
Title: Large Scale Graph Learning From Smooth Signals
Authors: Vassilis Kalofolias, Nathanaël Perraudin
Affiliations: Signal Processing Laboratory 2, EPFL, Station 11, 1015 Lausanne, Switzerland; Swiss Data Science Center, ETH Zürich, Universitätstrasse 25, 8006 Zürich, Switzerland
Conference: iclr 2019 (main track)
Keywords: Graph learning;Graph signal processing;Network inference
Decision: Poster
Title: Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation
Authors: Wenpeng Hu, Zhou Lin, Bing Liu, Chongyang Tao, Jay Tao, Jinwen Ma, Dongyan Zhao, Rui Yan
Affiliations: ICST, Peking University, Beijing, China; Department of Computer Science, University of Illinois at Chicago; Department of Information Science, School of Mathematical Sciences, Peking University
Conference: iclr 2019 (main track)
Keywords: overcoming forgetting;model adaptation;continual learning
Decision: Poster
Title: Analysis of Quantized Models
Authors: LU HOU, Ruiliang Zhang, James Kwok
Affiliations: Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong; TuSimple; Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong
Conference: iclr 2019 (main track)
Keywords: weight quantization;gradient quantization;distributed learning
Decision: Poster
Title: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Authors: Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar
Affiliations: New York University; New York University, Facebook AI Research†
Conference: iclr 2019 (main track)
Keywords: multiagent;communication;competitive;cooperative;continuous;emergent;reinforcement learning
Decision: Poster
Title: Conditional Network Embeddings
Authors: Bo Kang, Jefrey Lijffijt, Tijl De Bie
Affiliations: Department of Electronics and Information Systems (ELIS), IDLab, Ghent University, Ghent, Belgium
Conference: iclr 2019 (main track)
Keywords: Network embedding;graph embedding;learning node representations;link prediction;multi-label classification of nodes
Decision: Poster
Title: GO Gradient for Expectation-Based Objectives
Authors: Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
Affiliations: Department of Electrical and Computer Engineering, Duke University
Conference: iclr 2019 (main track)
Keywords: generalized reparameterization gradient;variance reduction;non-reparameterizable;discrete random variable;GO gradient;general and one-sample gradient;expectation-based objective;variable nabla;statistical back-propagation;hierarchical;graphical model
Decision: Poster
Title: h-detach: Modifying the LSTM Gradient Towards Better Optimization
Authors: Bhargav Kanuparthi, Devansh Arpit, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas, Yoshua Bengio
Affiliations: Montreal Institute for Learning Algorithms (MILA), Canada; CIFAR Senior Fellow; Montreal Institute for Learning Algorithms (MILA), Canada
Conference: iclr 2019 (main track)
Keywords: LSTM;Optimization;Long term dependencies;Back-propagation through time
Decision: Poster
Title: Differentiable Learning-to-Normalize via Switchable Normalization
Authors: Ping Luo, jiamin ren, zhanglin peng, Ruimao Zhang, Jingyu Li
Affiliations: SenseTime Research; The Chinese University of Hong Kong; The Chinese University of Hong Kong, The University of Hong Kong
Conference: iclr 2019 (main track)
Keywords: normalization;deep learning;CNN;computer vision
Decision: Poster
Title: SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Authors: Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
Affiliations: Gatsby Unit, University College London; Department of Computer Science, ETH Zürich
Conference: iclr 2019 (main track)
Keywords: deep learning;self-organizing map;variational autoencoder;representation learning;time series;machine learning;interpretability
Decision: Poster
Title: Hierarchical Generative Modeling for Controllable Speech Synthesis
Authors: Wei-Ning Hsu, Yu Zhang, Ron Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang
Affiliations: Massachusetts Institute of Technology; Google Inc.
Conference: iclr 2019 (main track)
Keywords: speech synthesis;representation learning;deep generative model;sequence-to-sequence model
Decision: Poster
Title: Learning Factorized Multimodal Representations
Authors: Yao-Hung Hubert Tsai, Paul Pu Liang, Amir Ali Bagherzade, Louis-Philippe Morency, Ruslan Salakhutdinov
Affiliations: Language Technologies Institute, Carnegie Mellon University; Machine Learning Department, Carnegie Mellon University
Conference: iclr 2019 (main track)
Keywords: multimodal learning;representation learning
Decision: Poster
Title: Human-level Protein Localization with Convolutional Neural Networks
Authors: Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Röhrl, Sepp Hochreiter, Günter Klambauer
Affiliations: LIT AI Lab, Johannes Kepler University Linz; Institute for Machine Learning, Johannes Kepler University Linz; Department of Medical Chemistry, Center for Pathobiochemistry and Genetics, Medical University of Vienna
Conference: iclr 2019 (main track)
Keywords: Convolutional Neural Networks;High-resolution images;Multiple-Instance Learning;Microscopy Imaging;Protein Localization
Decision: Poster
Title: Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Authors: Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick
Affiliations: University of California San Diego; Carnegie Mellon University
Conference: iclr 2019 (main track)
Keywords: variational autoencoders;posterior collapse;generative models
Decision: Poster
Title: A2BCD: Asynchronous Acceleration with Optimal Complexity
Authors: Robert Hannah, Fei Feng, Wotao Yin
Affiliations: Department of Mathematics, University of California, Los Angeles, 520 Portola Plaza, Los Angeles, CA 90095, USA
Conference: iclr 2019 (main track)
Keywords: asynchronous;optimization;parallel;accelerated;complexity
Decision: Poster
Title: Learning to Infer and Execute 3D Shape Programs
Authors: Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William Freeman, Joshua B Tenenbaum, Jiajun Wu
Affiliations: Massachusetts Institute of Technology; Massachusetts Institute of Technology, Google Research; Princeton University
Conference: iclr 2019 (main track)
Keywords: Program Synthesis;3D Shape Modeling;Self-supervised Learning
Decision: Poster
Title: Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Authors: Reinhard Heckel, Paul Hand
Affiliations: Department of Mathematics and College of Computer and Information Science, Northeastern University; Department of Electrical and Computer Engineering, Rice University
Conference: iclr 2019 (main track)
Keywords: natural image model;image prior;under-determined neural networks;untrained network;non-convolutional network;denoising;inverse problem
Decision: Poster
Title: InstaGAN: Instance-aware Image-to-Image Translation
Authors: Sangwoo Mo, Minsu Cho, Jinwoo Shin
Affiliations: Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea; AItrics, Seoul, Korea; Pohang University of Science and Technology (POSTECH), Pohang, Korea
Conference: iclr 2019 (main track)
Keywords: Image-to-Image Translation;Generative Adversarial Networks
Decision: Poster
Title: Learning Multi-Level Hierarchies with Hindsight
Authors: Andrew Levy, George D Konidaris, Robert Platt, Kate Saenko
Affiliations: Department of Computer Science, Brown University, Providence, RI, USA; College of Computer and Information Science, Northeastern University, Boston, MA, USA; Department of Computer Science, Boston University, Boston, MA, USA
Conference: iclr 2019 (main track)
Keywords: Hierarchical Reinforcement Learning;Reinforcement Learning;Deep Reinforcement Learning
Decision: Poster
Title: Meta-Learning of Structured Task Distributions in Humans and Machines
Authors: Sreejan Kumar, Ishita Dasgupta, Jonathan Cohen, Nathaniel Daw, Thomas L Griffiths
Affiliations: Princeton Neuroscience Institute; Department of Psychology, Princeton University; Department of Computer Science, Princeton University
Conference: iclr 2021 (main track)
Keywords: meta-learning;human cognition;reinforcement learning;compositionality
Decision: Poster
Title: Learning Invariant Representations for Reinforcement Learning without Reconstruction
Authors: Amy Zhang, Rowan T McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
Affiliations: McGill University; University of California, Berkeley; OATML group, University of Oxford; Facebook AI Research
Conference: iclr 2021 (main track)
Keywords: rich observations;bisimulation metrics;representation learning;state abstractions
Decision: Oral
Title: Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
Authors: Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
Affiliations: Technion; Intel Labs; Intel Israel
Conference: iclr 2021 (main track)
Keywords: Reinforcement Learning;Memory Mapping;Device Placement;Evolutionary Algorithms
Decision: Poster
Title: Improving VAEs' Robustness to Adversarial Attack
Authors: Matthew Willetts, Alexander Camuto, Tom Rainforth, S Roberts, Christopher Holmes
Affiliations: University of Oxford; University of Oxford, Alan Turing Institute, London
Conference: iclr 2021 (main track)
Keywords: deep generative models;variational autoencoders;robustness;adversarial attack
Decision: Poster
Title: Universal approximation power of deep residual neural networks via nonlinear control theory
Authors: Paulo Tabuada, Bahman Gharesifard
Affiliations: Department of Mathematics and Statistics, Queen’s University, Kingston, ON, Canada; Department of Electrical and Computer Engineering, University of California at Los Angeles, Los Angeles, CA 90095
Conference: iclr 2021 (main track)
Keywords: Deep residual neural networks;universal approximation;nonlinear control theory
Decision: Poster
Title: Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
Authors: Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam Harley, Katerina Fragkiadaki
Affiliations: Mila, University of Montreal; Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: Disentanglement;Few Shot Learning;3D Vision;VQA
Decision: Poster
Title: SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
Authors: A F M Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung, Sung-Ho Bae
Affiliations: Department of Computer Science & Engineering, Kyung Hee University, South Korea
Conference: iclr 2021 (main track)
Keywords: SaliencyMix;Saliency Guided Data Augmentation;Data Augmentation;Regularization
Decision: Poster
Title: Lipschitz Recurrent Neural Networks
Authors: N. Benjamin Erichson, Omri Azencot, Alejandro Queiruga, Liam Hodgkinson, Michael W Mahoney
Affiliations: Ben-Gurion University; ICSI and UC Berkeley; Google Research
Conference: iclr 2021 (main track)
Keywords: recurrent neural networks;dynamical systems;differential equations
Decision: Poster
Title: In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Authors: Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah
Affiliations: Center for Research in Computer Vision, University of Central Florida, Orlando, Florida, USA
Conference: iclr 2021 (main track)
Keywords: Semi-Supervised Learning;Pseudo-Labeling;Uncertainty;Calibration;Deep Learning
Decision: Poster
Title: PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Authors: Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
Affiliations: Virginia Tech; Google Cloud AI; Google Brain
Conference: iclr 2021 (main track)
Keywords: pseudo-labeling;semi-supervised;semantic-segmentation
Decision: Poster
Title: Self-supervised Learning from a Multi-view Perspective
Authors: Yao-Hung Hubert Tsai, Yue Wu, Ruslan Salakhutdinov, Louis-Philippe Morency
Affiliations: Machine Learning Department, Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: Self-supervised Learning;Unsupervised Learning;Multi-view Representation Learning
Decision: Poster
Title: Isometric Propagation Network for Generalized Zero-shot Learning
Authors: Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
Affiliations: University of Washington; University of Technology Sydney
Conference: iclr 2021 (main track)
Keywords: Zero-shot learning;isometric;prototype propagation;alignment of semantic and visual space
Decision: Poster
Title: Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective
Authors: Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine
Affiliations: Normandy University, LITIS Lab, University of Rouen Normandy, INSA Rouen Normandie, Rouen, 76000, France
Conference: iclr 2021 (main track)
Keywords: Graph Neural Networks;Spectral Graph Filter;Spectral Analysis
Decision: Poster
Title: Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Authors: Jonas Geiping, Liam H Fowl, Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
Affiliations: Department of Computer Science, University of Maryland; Dep. of Electr. Eng. and Computer Science, University of Siegen; Computer Science, US Naval Academy; Department of Mathematics, University of Maryland
Conference: iclr 2021 (main track)
Keywords: Data Poisoning;ImageNet;Large-scale;Gradient Alignment;Security;Backdoor Attacks;from-scratch;clean-label
Decision: Poster
Title: Learning a Latent Simplex in Input Sparsity Time
Authors: Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David Woodruff, Samson Zhou
Affiliations: Microsoft Research India; Carnegie Mellon University; Indian Institute of Science
Conference: iclr 2021 (main track)
Keywords: Latent Simplex;numerical linear algebra;low-rank approximation
Decision: Spotlight
Title: A Universal Representation Transformer Layer for Few-Shot Image Classification
Authors: Lu Liu, William Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
Affiliations: Mila, Google Research, Brain Team; Mila, Australian AI Institute, UTS; Mila, McGill University; Australian AI Institute, UTS
Conference: iclr 2021 (main track)
Decision: Poster
Title: Self-supervised Representation Learning with Relative Predictive Coding
Authors: Yao-Hung Hubert Tsai, Martin Ma, Muqiao Yang, Han Zhao, Louis-Philippe Morency, Ruslan Salakhutdinov
Affiliations: Carnegie Mellon University; D.E. Shaw & Co.
Conference: iclr 2021 (main track)
Keywords: self-supervised learning;contrastive learning;dependency based method
Decision: Poster
Title: ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Authors: Mohit Shridhar, Eric Yuan, Marc-Alexandre Cote, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
Affiliations: Microsoft Research, Montréal; University of Washington; Carnegie Mellon University; Microsoft Research
Conference: iclr 2021 (main track)
Keywords: Textworld;Text-based Games;Embodied Agents;Language Grounding;Generalization;Imitation Learning;ALFRED
Decision: Poster
Title: Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Authors: Tolga Ergen, Mert Pilanci
Affiliations: Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2021 (main track)
Keywords: Convex optimization;non-convex optimization;group sparsity;$\ell_1$ norm;convex duality;polynomial time;deep learning
Decision: Spotlight
Title: Learning Parametrised Graph Shift Operators
Authors: George Dasoulas, Johannes Lutzeyer, Michalis Vazirgiannis
Affiliations: DaSciM, LIX, Ecole Polytechnique, Institute Polytechnique de Paris, France
Conference: iclr 2021 (main track)
Keywords: graph neural networks;graph shift operators;graph classification;node classification;graph representation learning
Decision: Poster
Title: Evolving Reinforcement Learning Algorithms
Authors: John Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V Le, Sergey Levine, Honglak Lee, Aleksandra Faust
Affiliations: Research at Google, Mountain View, CA 94043, USA
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;evolutionary algorithms;meta-learning;genetic programming
Decision: Oral
Title: Large-width functional asymptotics for deep Gaussian neural networks
Authors: Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Affiliations: Cogent Labs; Bocconi University; University of Torino; University of Torino, Collegio Carlo Alberto
Conference: iclr 2021 (main track)
Keywords: deep learning theory;infinitely wide neural network;Gaussian process;stochastic process
Decision: Poster
Title: Monotonic Kronecker-Factored Lattice
Authors: William Bakst, Nobuyuki Morioka, Erez Louidor
Affiliations: Google Research
Conference: iclr 2021 (main track)
Keywords: Theory;Regularization;Algorithms;Classification;Regression;Matrix and Tensor Factorization;Fairness;Evaluation;Efficiency;Machine Learning
Decision: Poster
Title: Undistillable: Making A Nasty Teacher That CANNOT teach students
Authors: Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang
Affiliations: Yale University; University of Texas at Austin; Texas A&M University; University of California, Irvine
Conference: iclr 2021 (main track)
Keywords: knowledge distillation;avoid knowledge leaking
Decision: Spotlight
Title: Probing BERT in Hyperbolic Spaces
Authors: Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing
Affiliations: Alibaba Group; Beijing Jiaotong University; University of Edinburgh
Conference: iclr 2021 (main track)
Keywords: Hyperbolic;BERT;Probe;Syntax;Sentiment
Decision: Poster
Title: No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
Authors: Shyamgopal Karthik, Ameya Prabhu, Puneet Dokania, Vineet Gandhi
Affiliations: University of Oxford & Five AI Limited; University of Oxford; CVIT, IIIT Hyderabad, India
Conference: iclr 2021 (main track)
Keywords: Hierarchy-Aware Classification;Conditional Risk Minimization;Post-Hoc Correction
Decision: Poster
Title: Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Authors: Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
Affiliations: Playform - Artrendex Inc., USA and Department of Computer Science, Rutgers University; Department of Computer Science, Rutgers University and Playform - Artrendex Inc., USA
Conference: iclr 2021 (main track)
Keywords: deep learning;generative model;image synthesis;few-shot learning;generative adversarial network;self-supervised learning;unsupervised learning
Decision: Poster
Title: Is Attention Better Than Matrix Decomposition?
Authors: Zhengyang Geng, Meng-Hao Guo, Hongxu None Chen, Xia Li, Ke Wei, Zhouchen Lin
Affiliations: Zhejiang Lab; Key Lab. of Machine Perception (MoE), School of EECS, Peking University; Key Lab. of Machine Perception (MoE), School of EECS, Peking University; Key Lab. of Machine Perception (MoE), School of EECS, Peking University; Pazhou Lab; Tsinghua University; School of Data Science, Fudan University
Conference: iclr 2021 (main track)
Keywords: attention models;matrix decomposition;computer vision
Decision: Poster
Title: Uncertainty in Gradient Boosting via Ensembles
Authors: Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko
Affiliations: Yandex; HSE University; Moscow Institute of Physics and Technology, Moscow, Russia; Yandex; HSE University, Moscow, Russia; Yandex, Moscow, Russia
Conference: iclr 2021 (main track)
Keywords: uncertainty;ensembles;gradient boosting;decision trees;knowledge uncertainty
Decision: Poster
Title: Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Authors: Jaekyeom Kim, Minjung Kim, Dongyeon Woo, Gunhee Kim
Affiliations: Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea
Conference: iclr 2021 (main track)
Keywords: Reinforcement learning;Information bottleneck
Decision: Poster
Title: Scalable Transfer Learning with Expert Models
Authors: Joan Puigcerver i Perez, Carlos Riquelme, Basil Mustafa, Cedric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby
Affiliations: ETH Zurich; Google Research
Conference: iclr 2021 (main track)
Keywords: Transfer Learning;Expert Models;Few Shot
Decision: Poster
Title: Neural ODE Processes
Authors: Alexander Norcliffe, Cristian Bodnar, Ben Day, Jacob Moss, Pietro Liò
Affiliations: Department of Computer Science, University of Cambridge, Cambridge, United Kingdom; Department of Computer Science, University College London, London, United Kingdom
Conference: iclr 2021 (main track)
Keywords: differential equations;neural processes;dynamics;deep learning;neural ode
Decision: Poster
Title: Towards Robust Neural Networks via Close-loop Control
Authors: Zhuotong Chen, Qianxiao Li, Zheng Zhang
Affiliations: Department of Electrical & Computer Engineering, University of California, Santa Barbara, CA 93106; Department of Mathematics, National University of Singapore, Singapore
Conference: iclr 2021 (main track)
Keywords: neural network robustness;optimal control;dynamical system
Decision: Poster
Title: SkipW: Resource Adaptable RNN with Strict Upper Computational Limit
Authors: Tsiry MAYET, Anne Lambert, Pascal Le Guyadec, Francoise Le Bolzer, François Schnitzler
Affiliations: InterDigital Inc., Cesson-Sévigné, France
Conference: iclr 2021 (main track)
Keywords: Recurrent neural networks;Flexibility;Computational resources
Decision: Poster
Title: Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Authors: Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
Affiliations: Tencent YouTu Lab; University of California, Santa Cruz
Conference: iclr 2021 (main track)
Keywords: Learning with noisy labels;instance-based label noise;deep neural networks.
Decision: Poster
Title: Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Authors: Taiji Suzuki, Akiyama Shunta
Affiliations: Graduate School of Information Science and Technology, The University of Tokyo, Japan; Graduate School of Information Science and Technology, The University of Tokyo, Japan; Center for Advanced Intelligence Project, RIKEN, Japan
Conference: iclr 2021 (main track)
Keywords: Excess risk;minimax optimal rate;local Rademacher complexity;fast learning rate;kernel method;linear estimator
Decision: Spotlight
Title: Effective and Efficient Vote Attack on Capsule Networks
Authors: Jindong Gu, Baoyuan Wu, Volker Tresp
Affiliations: The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Research Institute of Big Data, Shenzhen, China; University of Munich, Germany; Corporate Technology, Siemens AG, Munich, Germany
Conference: iclr 2021 (main track)
Keywords: Capsule Networks;Adversarial Attacks;Adversarial Example Detection
Decision: Poster
Title: Long-tail learning via logit adjustment
Authors: Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
Affiliations: Google Research, New York, NY
Conference: iclr 2021 (main track)
Keywords: long-tail learning;class imbalance
Decision: Spotlight
Title: PMI-Masking: Principled masking of correlated spans
Authors: Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
Affiliations: AI21 Labs, Tel Aviv, Israel
Conference: iclr 2021 (main track)
Keywords: Language modeling;BERT;pointwise mutual information
Decision: Spotlight