hunoutl/paperlists huggingface dataset:
Title: Hierarchical Autoregressive Modeling for Neural Video Compression
Authors: Ruihan Yang, Yibo Yang, Joe Marino, Stephan Mandt
Affiliations: Computation & Neural Systems, California Institute of Technology; Department of Computer Science, UC Irvine
Conference: iclr 2021 (main track)
Keywords: Compression;Video Compression;Generative Models;Autoregressive Models
Decision: Poster
Title: HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Authors: Enmao Diao, Jie Ding, VAHID TAROKH
Affiliations: School of Statistics, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA; Department of Electrical and Computer Engineering, Duke University, Durhm, NC 27705, USA
Conference: iclr 2021 (main track)
Keywords: Federated Learning;Internet of Things;Heterogeneity
Decision: Poster
Title: Balancing Constraints and Rewards with Meta-Gradient D4PG
Authors: Dan A. Calian, Daniel J Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy A Mann
Affiliations: DeepMind, London, United Kingdom
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;meta-gradients;constraints
Decision: Poster
Title: A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Authors: Renjie Liao, Raquel Urtasun, Richard Zemel
Affiliations: University of Toronto, Vector Institute, Canadian Institute for Advanced Research
Conference: iclr 2021 (main track)
Keywords: PAC Bayes;Generalization Bounds;Graph Neural Networks;Graph Convolutional Neural Networks;Message Passing GNNs
Decision: Poster
Title: Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Authors: Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
Affiliations: Stanford University; Massachusetts Institute of Technology; UC Berkeley
Conference: iclr 2021 (main track)
Decision: Poster
Title: RODE: Learning Roles to Decompose Multi-Agent Tasks
Authors: Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
Affiliations: University of Oxford; Institute for Interdisciplinary Information Sciences, Tsinghua University; Tsinghua University
Conference: iclr 2021 (main track)
Keywords: Multi-Agent Reinforcement Learning;Role-Based Learning;Hierarchical Multi-Agent Learning;Multi-Agent Transfer Learning
Decision: Poster
Title: Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Authors: Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Sunny Duan, Pramod Gupta, Julia Klawohn, Greg Hajcak
Affiliations: X, the Moonshot Factory, Mountain View, CA; DeepMind, London, UK; X, the Moonshot Factory, Mountain View, CA, USA; DeepMind, Mountain View, CA, USA; Florida State University, Tallahassee, FL, USA
Conference: iclr 2021 (main track)
Keywords: EEG;ERP;electroencephalography;depression;representation learning;disentanglement;beta-VAE
Decision: Poster
Title: Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks
Authors: Christian Ali Mehmeti-Göpel, David Hartmann, Michael Wand
Affiliations: Institute of Computer Science, Johannes-Gutenberg University Mainz, Staudingerweg 9, 55122 Mainz, Germany; Institute of Computer Science, Johannes Gutenberg-University of Mainz, Staudingerweg 9, 55128 Mainz, Germany
Conference: iclr 2021 (main track)
Keywords: deep learning theory;loss landscape;harmonic distortion analysis;network trainability
Decision: Poster
Title: Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning
Authors: Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin
Affiliations: Microsoft, Redmond, Washington, USA; Duke University, Durham, North Carolina, USA
Conference: iclr 2021 (main track)
Keywords: Style Transfer;Mutual Information;Zero-shot Learning;Disentanglement
Decision: Poster
Title: BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
Authors: Huanrui Yang, Lin Duan, Yiran Chen, Hai Li
Affiliations: Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA
Conference: iclr 2021 (main track)
Keywords: Mixed-precision quantization;bit-level sparsity;DNN compression
Decision: Poster
Title: Generalization in data-driven models of primary visual cortex
Authors: Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Jagadish, Eric Wang, Edgar Walker, Santiago Cadena, Taliah Muhammad, Erick M Cobos, Andreas Tolias, Alexander S Ecker, Fabian Sinz
Affiliations: Center for Neuroscience and Artiﬁcial Intelligence, Baylor College of Medicine, Houston, TX, USA; Department of Computer Science / Campus Institute Data Science, University of Göttingen, Germany; Institute for Bioinformatics and Medical Informatics, University of Tübingen, Germany; Bernstein Center for Computational Neuroscience, University of Tübingen, Germany; Department for Neuroscience, Baylor College of Medicine, Houston, TX, USA
Conference: iclr 2021 (main track)
Keywords: neuroscience;cognitive science;multitask learning;transfer learning;representation learning;network architecture;computational biology;visual perception
Decision: Spotlight
Title: Primal Wasserstein Imitation Learning
Authors: Robert Dadashi, Léonard Hussenot-Desenonges, Matthieu Geist, Olivier Pietquin
Affiliations: Univ. de Lille, CNRS, Inria Scool, UMR 9189 CRIStAL; Google Research, Brain Team
Conference: iclr 2021 (main track)
Keywords: Reinforcement Learning;Inverse Reinforcement Learning;Imitation Learning;Optimal Transport;Wasserstein distance
Decision: Poster
Title: MixKD: Towards Efficient Distillation of Large-scale Language Models
Authors: Kevin Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin
Affiliations: Duke University; State University of New York at Buffalo; Duke University, Facebook AI; Microsoft Dynamics 365 AI
Conference: iclr 2021 (main track)
Keywords: Natural Language Processing;Representation Learning
Decision: Poster
Title: How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Authors: Keyulu Xu, Mozhi Zhang, Jingling Li, Simon Du, Ken-Ichi Kawarabayashi, Stefanie Jegelka
Affiliations: Massachusetts Institute of Technology (MIT); University of Washington; National Institute of Informatics (NII); University of Maryland
Conference: iclr 2021 (main track)
Keywords: extrapolation;deep learning;out-of-distribution;graph neural networks;deep learning theory
Decision: Oral
Title: Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
Authors: Jan Schuchardt, Aleksandar Bojchevski, Johannes Gasteiger, Stephan Günnemann
Affiliations: Technical University of Munich, Germany
Conference: iclr 2021 (main track)
Keywords: Robustness certificates;Adversarial robustness;Graph neural networks
Decision: Poster
Title: Structured Prediction as Translation between Augmented Natural Languages
Authors: Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, RISHITA ANUBHAI, Cicero Nogueira dos Santos, Bing Xiang, Stefano Soatto
Affiliations: Amazon Web Services
Conference: iclr 2021 (main track)
Keywords: language models;few-shot learning;transfer learning;structured prediction;generative modeling;sequence to sequence;multi-task learning
Decision: Spotlight
Title: Certify or Predict: Boosting Certified Robustness with Compositional Architectures
Authors: Mark Niklas Müller, Mislav Balunovic, Martin Vechev
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2021 (main track)
Keywords: Provable Robustness;Network Architecture;Robustness;Adversarial Accuracy;Certified Robustness
Decision: Poster
Title: Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
Authors: James Diffenderfer, Bhavya Kailkhura
Affiliations: Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA
Conference: iclr 2021 (main track)
Keywords: Binary Neural Networks;Pruning;Lottery Ticket Hypothesis
Decision: Poster
Title: Rethinking Attention with Performers
Authors: Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Georgiana-Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Q Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J Colwell, Adrian Weller
Affiliations: University of Cambridge, Alan Turing Institute; Google; DeepMind; University of Cambridge; Google, University of Cambridge
Conference: iclr 2021 (main track)
Keywords: performer;transformer;attention;softmax;approximation;linear;bert;bidirectional;unidirectional;orthogonal;random;features;FAVOR;kernel;generalized;sparsity;reformer;linformer;protein;trembl;uniprot
Decision: Oral
Title: Model-Based Visual Planning with Self-Supervised Functional Distances
Authors: Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine
Affiliations: Stanford University; University of California, Berkeley; Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: planning;model learning;distance learning;reinforcement learning;robotics
Decision: Spotlight
Title: CT-Net: Channel Tensorization Network for Video Classification
Authors: Kunchang Li, xianhang li, Yali Wang, Jun Wang, Yu Qiao
Affiliations: Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China; SIAT Branch, Shenzhen Institute of Artiﬁcial Intelligence and Robotics for Society; University of Central Florida
Conference: iclr 2021 (main track)
Keywords: Video Classification;3D Convolution;Channel Tensorization
Decision: Poster
Title: Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
Authors: Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
Affiliations: Google Research
Conference: iclr 2021 (main track)
Keywords: Learning to Rank;benchmark;neural network;gradient boosted decision trees
Decision: Spotlight
Title: On Learning Universal Representations Across Languages
Authors: Xiangpeng Wei, Rongxiang Weng, Yue Hu, Luxi Xing, Heng Yu, Weihua Luo
Affiliations: Machine Intelligence Technology Lab, Alibaba Group, Hangzhou, China; Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China
Conference: iclr 2021 (main track)
Keywords: universal representation learning;cross-lingual pretraining;hierarchical contrastive learning
Decision: Poster
Title: Learning Generalizable Visual Representations via Interactive Gameplay
Authors: Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
Affiliations: Allen Institute for Artiﬁcial Intelligence; University of Washington
Conference: iclr 2021 (main track)
Keywords: representation learning;deep reinforcement learning;computer vision
Decision: Oral
Title: Activation-level uncertainty in deep neural networks
Authors: Pablo Morales-Alvarez, Daniel Hernández-Lobato, Rafael Molina, José Miguel Hernández Lobato
Affiliations: Department of Engineering, University of Cambridge, UK; Alan Turing Institute, London, UK; Department of Computer Science, Universidad Autónoma de Madrid, Spain; Department of Computer Science and AI, University of Granada, Spain
Conference: iclr 2021 (main track)
Keywords: Gaussian Processes;Uncertainty estimation;Deep Gaussian Processes;Bayesian Neural Networks
Decision: Poster
Title: Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
Authors: Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee
Affiliations: Fraunhofer IAIS, ML2R; Fraunhofer IAIS, ML2R, University of Cologne; IIT Bombay
Conference: iclr 2021 (main track)
Keywords: Brownian motion;deep learning theory;decision boundary geometry;curvature estimates;generalization bounds;adversarial attacks/defenses
Decision: Poster
Title: DC3: A learning method for optimization with hard constraints
Authors: Priya Donti, David Rolnick, Zico Kolter
Affiliations: McGill University and Mila; Carnegie Mellon University; Carnegie Mellon University, Bosch Center for AI
Conference: iclr 2021 (main track)
Keywords: approximate constrained optimization;implicit differentiation;optimal power flow;surrogate models
Decision: Poster
Title: OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Authors: Anurag Ajay, Aviral Kumar, Pulkit Agrawal, Sergey Levine, Ofir Nachum
Affiliations: MIT; Google Research; UC Berkeley
Conference: iclr 2021 (main track)
Keywords: Offline Reinforcement Learning;Primitive Discovery;Unsupervised Learning
Decision: Poster
Title: On the geometry of generalization and memorization in deep neural networks
Authors: Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung
Affiliations: Stanford University; Intel Labs; Columbia University
Conference: iclr 2021 (main track)
Keywords: deep learning theory;representation learning;statistical physics methods;double descent
Decision: Poster
Title: CoCon: A Self-Supervised Approach for Controlled Text Generation
Authors: Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu
Affiliations: Nanyang Technological University; Amazon AI; Mila, Polytechnique Montreal
Conference: iclr 2021 (main track)
Keywords: Language modeling;text generation;controlled generation;self-supervised learning
Decision: Poster
Title: Convex Regularization behind Neural Reconstruction
Authors: Arda Sahiner, Morteza Mardani, Batu Ozturkler, Mert Pilanci, John M Pauly
Affiliations: Department of Electrical Engineering, Stanford University
Conference: iclr 2021 (main track)
Keywords: neural networks;image reconstruction;denoising;interpretability;robustness;neural reconstruction;convex duality;inverse problems;sparsity;convex optimization
Decision: Poster
Title: Conditional Generative Modeling via Learning the Latent Space
Authors: Sameera Ramasinghe, Kanchana Ranasinghe, Salman Khan, Nick Barnes, Stephen Gould
Affiliations: Australian National University, Data61 (CSIRO); Mohamed bin Zayed University of AI, Australian National University; Australian National University; Mohamed bin Zayed University of AI
Conference: iclr 2021 (main track)
Keywords: Multimodal Spaces;Conditional Generation;Generative Modeling
Decision: Poster
Title: Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
Authors: Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael Mozer
Affiliations: Deepmind; Waverly; Google Research, Brain Team; Mila, University of Montreal; IIT BHU, Varanasi; UC Berkeley
Conference: iclr 2021 (main track)
Keywords: procedural knowledge;declarative knowledge;Systematicity
Decision: Poster
Title: Estimating Lipschitz constants of monotone deep equilibrium models
Authors: Chirag Pabbaraju, Ezra Winston, Zico Kolter
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Bosch Center for Artiﬁcial Intelligence
Conference: iclr 2021 (main track)
Keywords: deep equilibrium models;Lipschitz constants
Decision: Poster
Title: Dynamic Tensor Rematerialization
Authors: Marisa Kirisame, Steven S. Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared G Roesch, Tianqi Chen, Zachary Tatlock
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA; School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Conference: iclr 2021 (main track)
Keywords: Rematerialization;Memory-saving;Runtime Systems;Checkpointing
Decision: Spotlight
Title: C-Learning: Horizon-Aware Cumulative Accessibility Estimation
Authors: Panteha Naderian, Gabriel Loaiza-Ganem, Harry Braviner, Anthony Caterini, Jesse C Cresswell, Tong Li, Animesh Garg
Affiliations: University of Toronto, Vector Institute, Nvidia; Layer 6 AI
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;goal reaching;Q-learning
Decision: Poster
Title: Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Authors: Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf
Affiliations: Zalando Research
Conference: iclr 2021 (main track)
Keywords: time series;normalizing flows;attention;probabilistic multivariate forecasting
Decision: Spotlight
Title: Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation
Authors: Biao Zhang, Ankur Bapna, Rico Sennrich, Orhan Firat
Affiliations: Department of Computational Linguistics, University of Zurich; School of Informatics, University of Edinburgh; Google Research
Conference: iclr 2021 (main track)
Keywords: language-specific modeling;conditional computation;multilingual translation;multilingual transformer
Decision: Oral
Title: A Unified Approach to Interpreting and Boosting Adversarial Transferability
Authors: Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang
Affiliations: Shanghai Jiao Tong University; Key Lab. of Machine Perception (MoE), School of EECS, Peking University, Beijing, China
Conference: iclr 2021 (main track)
Keywords: Adversarial Learning;Interpretability;Adversarial Transferability
Decision: Poster
Title: Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
Authors: Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
Affiliations: Machine Learning Research Lab, Volkswagen Group, Munich, Germany
Conference: iclr 2021 (main track)
Keywords: Generative models;Bayesian inference;Variational inference;SLAM;Deep learning
Decision: Poster
Title: CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
Authors: Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei
Affiliations: Department of Statistics, University of British Columbia; Department of Statistics, University of Michigan; School of Information and Department of EECS, University of Michigan; School of Information, University of Michigan
Conference: iclr 2021 (main track)
Keywords: Graph Neural Network;Gaussian Copula;Gaussian Graphical Model
Decision: Poster
Title: The Intrinsic Dimension of Images and Its Impact on Learning
Authors: Phil Pope, Chen Zhu, Ahmed Abdelkader, Micah Goldblum, Tom Goldstein
Affiliations: Oden Institute for Computational Engineering and Sciences, University of Texas at Austin; Department of Computer Science, University of Maryland, College Park
Conference: iclr 2021 (main track)
Keywords: generalization;dimension;manifold;ImageNet;CIFAR
Decision: Spotlight
Title: SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
Authors: Myeongjang Pyeon, Jihwan Moon, Taeyoung Hahn, Gunhee Kim
Affiliations: Seoul National University, Seoul, Korea
Conference: iclr 2021 (main track)
Keywords: AutoML;Neural Architecture Search;Greedy Learning;Deep Learning
Decision: Poster
Title: Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Authors: Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Boloni
Affiliations: Dept. of Electrical & Computer Engineering, University of California San Diego; Dept. of Computer Science, University of Central Florida
Conference: iclr 2021 (main track)
Keywords: Meta-learning;Unsupervised learning;GANs
Decision: Poster
Title: Getting a CLUE: A Method for Explaining Uncertainty Estimates
Authors: Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández Lobato
Affiliations: University of Cambridge, The Alan Turing Institute; University of Cambridge; University of Cambridge, University of Liverpool
Conference: iclr 2021 (main track)
Keywords: interpretability;uncertainty;explainability
Decision: Oral
Title: Bag of Tricks for Adversarial Training
Authors: Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Affiliations: Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University, Beijing, 100084 China
Conference: iclr 2021 (main track)
Keywords: Adversarial Training;Robustness;Adversarial Examples
Decision: Poster
Title: Learning to Represent Action Values as a Hypergraph on the Action Vertices
Authors: Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
Affiliations: Microsoft Research Montréal; Imperial College London
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;structural credit assignment;structural inductive bias;multi-dimensional discrete action spaces;learning action representations
Decision: Poster
Title: Faster Binary Embeddings for Preserving Euclidean Distances
Authors: Jinjie Zhang, Rayan Saab
Affiliations: Department of Mathematics, Halıcıoğlu Data Science Institute, University of California San Diego
Conference: iclr 2021 (main track)
Keywords: Binary Embeddings;Johnson-Lindenstrauss Transforms;Sigma Delta Quantization
Decision: Poster
Title: BERTology Meets Biology: Interpreting Attention in Protein Language Models
Authors: Jesse Vig, Ali Madani, Lav R Varshney, Caiming Xiong, Richard Socher, Nazneen Rajani
Affiliations: Salesforce Research, University of Illinois at Urbana-Champaign; Salesforce Research
Conference: iclr 2021 (main track)
Keywords: interpretability;black box;computational biology;representation learning;attention;transformers;visualization;natural language processing
Decision: Poster
Title: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Authors: Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
Affiliations: Google Research, Brain Team
Conference: iclr 2021 (main track)
Keywords: computer vision;image recognition;self-attention;transformer;large-scale training
Decision: Oral
Title: Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data
Authors: Francesco Tonolini, Pablo Garcia Moreno, Andreas Damianou, Roderick Murray-Smith
Affiliations: School of Computing Science, University of Glasgow, Glasgow, UK; Amazon, London, UK
Conference: iclr 2021 (main track)
Keywords: Missing value imputation;variational inference;variational auto-encoders
Decision: Poster
Title: Revisiting Dynamic Convolution via Matrix Decomposition
Authors: Yunsheng Li, Yinpeng Chen, Xiyang Dai, mengchen liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos
Affiliations: Department of Electrical and Computer Engineering, University of California San Diego; Microsoft
Conference: iclr 2021 (main track)
Keywords: supervised representation learning;efficient network;dynamic network;matrix decomposition
Decision: Poster
Title: Extreme Memorization via Scale of Initialization
Authors: Harsh Mehta, Ashok Cutkosky, Behnam Neyshabur
Affiliations: Boston University; Blueshift, Alphabet; Google Research
Conference: iclr 2021 (main track)
Keywords: Scale of initialization;Memorization;Overfitting;Generalization;Generalization Measure;Understanding Deep Learning
Decision: Poster
Title: A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
Authors: Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
Affiliations: †Inria,‡CNRS-ENS; ‡CNRS-ENS
Conference: iclr 2021 (main track)
Keywords: bioinformatics;optimal transport;kernel methods;attention;transformers
Decision: Poster
Title: Learning with Feature-Dependent Label Noise: A Progressive Approach
Authors: Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
Affiliations: Stony Brook University; City University of New York; Rutgers University
Conference: iclr 2021 (main track)
Keywords: Noisy Label;Deep Learning;Classification
Decision: Spotlight
Title: Tradeoffs in Data Augmentation: An Empirical Study
Authors: Raphael Gontijo Lopes, Sylvia Smullin, Ekin Cubuk, Ethan Dyer
Affiliations: Blueshift, Alphabet; Google Brain
Conference: iclr 2021 (main track)
Keywords: Generalization;Interpretability;Understanding Data Augmentation
Decision: Poster