hunoutl/paperlists huggingface dataset:
Title: Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Authors: Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
Affiliations: KAIST; Criteo AI Lab; ENSAE ParisTech; Google Research
Conference: iclr 2021 (main track)
Keywords: determinantal point processes;unsupervised learning;representation learning;submodular optimization
Decision: Oral
Title: Regularized Inverse Reinforcement Learning
Authors: Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
Affiliations: Mila, Quebec AI Institute; School of Computer Science, McGill University; Mila, Quebec AI Institute; School of Computer Science, McGill University; Facebook AI Research
Conference: iclr 2021 (main track)
Keywords: inverse reinforcement learning;reward learning;regularized markov decision processes;reinforcement learning
Decision: Spotlight
Title: ResNet After All: Neural ODEs and Their Numerical Solution
Authors: Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann
Affiliations: Bosch Center for Artiﬁcial Intelligence, Renningen, Germany; University of T ¨ubingen, MPI for Intelligent Systems, T¨ubingen, Germany; Bosch Center for Artiﬁcial Intelligence, Renningen, Germany; University of T ¨ubingen, Germany
Conference: iclr 2021 (main track)
Decision: Poster
Title: Less bits is more: How pruning deep binary networks increases weight capacity
Authors: AAAI Press Staff, Pater Patel Schneider, Sunil Issar, J. Scott Penberthy, George Ferguson, Hans Guesgen, Francisco Cruz, Marc Pujol-Gonzalez
Affiliations: Computer Vision Lab, Delft University of Technology, Delft, Netherlands
Conference: iclr 2021 (main track)
Decision: Withdraw
Title: Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
Authors: Đorđe Miladinović, Aleksandar Stanić, Stefan Bauer, Jürgen Schmidhuber, Joachim M Buhmann
Affiliations: Max-Planck Institute, Tübingen, Germany; ETH Zurich, Zürich, Switzerland; Swiss AI Lab IDSIA, USI, Lugano, Switzerland
Conference: iclr 2021 (main track)
Keywords: Neural networks;Deep generative models;Image Modeling;Variational Autoencoders
Decision: Poster
Title: Distance-Based Regularisation of Deep Networks for Fine-Tuning
Authors: Henry Gouk, Timothy Hospedales, massimiliano pontil
Affiliations: School of Informatics, University of Edinburgh; CSML, Istituto Italiano di Tecnologia & Department of Computer Science, UCL
Conference: iclr 2021 (main track)
Keywords: Deep Learning;Transfer Learning;Statistical Learning Theory
Decision: Poster
Title: Integrating Categorical Semantics into Unsupervised Domain Translation
Authors: Samuel Lavoie, Faruk Ahmed, Aaron Courville
Affiliations: Département d’Informatique et de Recherche Opérationnelle, Université de Montréal, Mila, CIFAR fellow; Département d’Informatique et de Recherche Opérationnelle, Université de Montréal, Mila
Conference: iclr 2021 (main track)
Keywords: Unsupervised Domain Translation;Unsupervised Learning;Image-to-Image Translation;Deep Learning;Representation Learning
Decision: Poster
Title: Towards Impartial Multi-task Learning
Authors: Liyang Liu, Yi Li, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wei Zhang
Affiliations: Department of Statistical Science, University College London; SenseTime Research/Qing Yuan Research Institute, Shanghai Jiao Tong University; Shenzhen International Graduate School/Department of Electronic Engineering, Tsinghua University; SenseTime Research
Conference: iclr 2021 (main track)
Keywords: Multi-task Learning;Impartial Learning;Scene Understanding
Decision: Poster
Title: TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks
Authors: Martin Trimmel, Henning Petzka, Cristian Sminchisescu
Affiliations: Lund University; Lund University and Google Research
Conference: iclr 2021 (main track)
Keywords: linear regions;linear terms;deep learning theory;deep neural networks;rectified linear unit;relu network;piecewise linear function;tropical function
Decision: Poster
Title: On the role of planning in model-based deep reinforcement learning
Authors: Jessica Hamrick, Abram Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Veličković, Theophane Weber
Affiliations: DeepMind, London, UK
Conference: iclr 2021 (main track)
Keywords: model-based RL;planning;MuZero
Decision: Poster
Title: NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control
Authors: Ioannis Exarchos, Marcus A Pereira, Ziyi Wang, Evangelos Theodorou
Affiliations: Department of Computer Science, Stanford University, Stanford, CA 94305; School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332
Conference: iclr 2021 (main track)
Keywords: deep neural networks;nested optimization;stochastic control;deep FBSDEs
Decision: Poster
Title: AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Authors: Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha
Affiliations: Naver AI Lab, Naver Clova; Applied Information Engineering, Yonsei University; Naver AI Lab
Conference: iclr 2021 (main track)
Keywords: momentum optimizer;scale-invariant weights;normalize layer;effective learning rate
Decision: Poster
Title: Mapping the Timescale Organization of Neural Language Models
Authors: Hsiang-Yun Sherry Chien, Jinhan Zhang, Christopher Honey
Affiliations: Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, USA
Conference: iclr 2021 (main track)
Keywords: natural language processing;LSTM;timescale;hierarchy;temporal context
Decision: Poster
Title: Individually Fair Gradient Boosting
Authors: Alexander Vargo, Fan Zhang, Mikhail Yurochkin, Yuekai Sun
Affiliations: Department of Statistics, University of Michigan; IBM Research, MIT-IBM Watson AI Lab; Department of Mathematics, University of Michigan; School of Information Science and Technology, ShanghaiTech University
Conference: iclr 2021 (main track)
Keywords: Algorithmic fairness;boosting;non-smooth models
Decision: Spotlight
Title: Interpreting and Boosting Dropout from a Game-Theoretic View
Authors: Hao Zhang, Sen Li, YinChao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang
Affiliations: Huazhong University of Science and Technology; Sun Yat-sen University; Shanghai Jiao Tong University
Conference: iclr 2021 (main track)
Keywords: Dropout;Interpretability;Interactions
Decision: Poster
Title: Group Equivariant Stand-Alone Self-Attention For Vision
Authors: David W. Romero, Jean-Baptiste Cordonnier
Affiliations: Vrije Universiteit Amsterdam; ´Ecole Polytechnique F ´ed´erale de Lausanne (EPFL)
Conference: iclr 2021 (main track)
Keywords: group equivariant transformers;group equivariant self-attention;group equivariance;self-attention;transformers
Decision: Poster
Title: Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
Authors: Pim De Haan, Maurice Weiler, Taco Cohen, Max Welling
Affiliations: Qualcomm AI Research; Qualcomm AI Research, University of Amsterdam; QUV A Lab, University of Amsterdam
Conference: iclr 2021 (main track)
Keywords: symmetry;equivariance;mesh;geometric;convolution
Decision: Spotlight
Title: ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
Authors: Kangkang Lu, Cuong Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo
Affiliations: National University of Singapore, Singapore; Institute for Infocomm Research, A*STAR, Singapore
Conference: iclr 2021 (main track)
Keywords: Adversarial Robustness;Semi-supervised Learning;Multi-view Learning;Diversity Regularization;Entropy Maximization
Decision: Poster
Title: Disambiguating Symbolic Expressions in Informal Documents
Authors: Dennis Müller, Cezary Kaliszyk
Affiliations: Knowledge Representation and Management, FAU Erlangen-Nürnberg; Computational Logic, University of Innsbruck; Computational Logic, University of Innsbruck; Institute of Computer science, Warsaw University
Conference: iclr 2021 (main track)
Decision: Poster
Title: Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Authors: Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
Affiliations: SenseTime Research, CUHK-Sensetime Joint Lab, CUHK; SenseTime Research; CUHK-Sensetime Joint Lab, CUHK; NLPR, CASIA; Northwestern University
Conference: iclr 2021 (main track)
Keywords: sparsity;efficient training and inference.
Decision: Poster
Title: DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Authors: Xiangxiang Chu, Victor Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
Affiliations: University of Chinese Academy of Sciences; Shanghai Jiao Tong University; Meituan
Conference: iclr 2021 (main track)
Keywords: neural architecture search;DARTS stability
Decision: Poster
Title: Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Authors: Nils Wandel, Michael Weinmann, Reinhard Klein
Affiliations: Department of Computer Science, University of Bonn
Conference: iclr 2021 (main track)
Keywords: Unsupervised Learning;Fluid Dynamics;U-Net
Decision: Spotlight
Title: Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Authors: Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
Affiliations: Department of Computer Science, Purdue University; Department of Computer Science, Stanford University; Electrical Engineering, Stanford University
Conference: iclr 2021 (main track)
Keywords: temporal networks;inductive representation learning;anonymous walk;network motif
Decision: Poster
Title: Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
Authors: Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah Smith
Affiliations: Facebook AI; Paul G. Allen School of Computer Science & Engineering, University of Washington; Paul G. Allen School of Computer Science & Engineering, University of Washington and Allen Institute for AI
Conference: iclr 2021 (main track)
Keywords: Machine Translation;Sequence Modeling;Natural Language Processing
Decision: Poster
Title: Multi-resolution modeling of a discrete stochastic process identifies causes of cancer
Authors: Adam Yaari, Maxwell Sherman, Oliver C Priebe, Po-Ru Loh, Boris Katz, Andrei Barbu, Bonnie Berger
Affiliations: MIT CSAIL, MIT CBMM; Broad Institute of MIT and Harvard, Division of Genetics, Brigham and Women’s Hospital; MIT CSAIL, MIT Department of Mathematics; MIT CSAIL, Department of Physics, University of Pennsylvania; MIT CSAIL, Broad Institute of MIT and Harvard, Division of Genetics, Brigham and Women’s Hospital
Conference: iclr 2021 (main track)
Keywords: Computational Biology;non-stationary stochastic processes;cancer research;deep learning;probabelistic models;graphical models
Decision: Poster
Title: The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods
Authors: Wei Tao, sheng long, Gaowei Wu, Qing Tao
Affiliations: Institute of Evaluation and Assessment Research, Academy of Military Science, Beijing, China; Institute of Automation CAS, School of Artificial Intelligence, University of CAS, Beijing, China; Department of Information Engineering, Army Academy of Artillery and Air Defense, Hefei, China
Conference: iclr 2021 (main track)
Keywords: Deep learning;convex optimization;momentum methods;adaptive heavy-ball methods;optimal convergence
Decision: Poster
Title: Topology-Aware Segmentation Using Discrete Morse Theory
Authors: Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, Chao Chen
Affiliations: Oregon State University; Stony Brook University; University of California, San Diego
Conference: iclr 2021 (main track)
Keywords: Topology;Morse theory;Image segmentation
Decision: Spotlight
Title: Correspondence between neuroevolution and gradient descent
Affiliations: Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA; Department of Physics, University of Ottawa, ON, K1N 6N5, Canada; National Research Council of Canada, Ottawa, ON K1N 5A2, Canada; Vector Institute for Artiﬁcial Intelligence, Toronto, ON M5G 1M1, Canada; Department of Physics, University of Ottawa, ON, K1N 6N5, Canada; National Research Council of Canada, Ottawa, ON K1N 5A2, Canada
Conference: iclr 2021 (main track)
Keywords: neuroevolution;gradient descent;theoretical description of learning
Decision: Desk Reject
Title: Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
Authors: Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang
Affiliations: Department of ECE, University of Utah, Salt Lake City, UT 84112, USA; Department of ECE, The Ohio State University, Columbus, OH 43210, USA
Conference: iclr 2021 (main track)
Keywords: Kurdyka-Łojasiewicz geometry;minimax;nonconvex;proximal gradient descent-ascent;variable convergence
Decision: Poster
Title: Fast And Slow Learning Of Recurrent Independent Mechanisms
Authors: Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schoelkopf, Yoshua Bengio
Affiliations: Mila, University of Montreal; Max Planck Institute for Intelligent Systems; Mila, Polytechnique Montréal
Conference: iclr 2021 (main track)
Keywords: modular representations;better generalization;learning mechanisms
Decision: Poster
Title: Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
Authors: Vinay Ramasesh, Ethan Dyer, Maithra Raghu
Affiliations: Google Brain, Mountain View, CA; Blueshift, Alphabet, Mountain View, CA
Conference: iclr 2021 (main track)
Keywords: Catastrophic forgetting;continual learning;representation analysis;representation learning
Decision: Poster
Title: X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
Authors: Jensen Gao, Siddharth Reddy, Glen Berseth, Nick Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca Dragan, Sergey Levine
Affiliations: University of California, Berkeley; University of California, San Francisco
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;human-computer interaction
Decision: Poster
Title: Adaptive Federated Optimization
Authors: Sashank Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konečný, Sanjiv Kumar, H. Brendan McMahan
Affiliations: Google Research
Conference: iclr 2021 (main track)
Keywords: Federated learning;optimization;adaptive optimization;distributed optimization
Decision: Poster
Title: Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
Authors: Deunsol Yoon, Sunghoon Hong, Byung-Jun Lee, Kee-Eung Kim
Affiliations: Graduate School of AI, KAIST, Daejeon, Republic of Korea; Graduate School of AI, KAIST, Daejeon, Republic of Korea and School of Computing, KAIST, Daejeon, Republic of Korea; School of Computing, KAIST, Daejeon, Republic of Korea and Gauss Labs Inc., Seoul, Republic of Korea
Conference: iclr 2021 (main track)
Keywords: power grid management;deep reinforcement learning;graph neural network
Decision: Spotlight
Title: Protecting DNNs from Theft using an Ensemble of Diverse Models
Authors: Sanjay Kariyappa, Atul Prakash, Moinuddin K Qureshi
Affiliations: Georgia Institute of Technology, Atlanta GA, USA; University of Michigan, Ann Arbor MI, USA
Conference: iclr 2021 (main track)
Keywords: Model stealing;machine learning security
Decision: Poster
Title: IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
Authors: Rianne van den Berg, Alexey Gritsenko, Mostafa Dehghani, Casper Sønderby, Tim Salimans
Affiliations: Google Research
Conference: iclr 2021 (main track)
Keywords: normalizing flows;lossless source compression;generative modeling
Decision: Poster
Title: Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows
Authors: Chris Cannella, Mohammadreza Soltani, VAHID TAROKH
Affiliations: Department of Electrical and Computer Engineering, Duke University
Conference: iclr 2021 (main track)
Keywords: Conditional Sampling;Normalizing Flows;Markov Chain Monte Carlo;Missing Data Inference
Decision: Poster
Title: Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
Authors: Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Dan Ellis, John Hershey
Affiliations: University of Illinois at Urbana-Champaign; Google Research
Conference: iclr 2021 (main track)
Keywords: Audio-visual sound separation;in-the-wild data;unsupervised learning;self-supervised learning;universal sound separation
Decision: Poster
Title: Learning perturbation sets for robust machine learning
Authors: Eric Wong, Zico Kolter
Affiliations: Computer Science Department, Carnegie Mellon University and Bosch Center for Artificial Intelligence, Pittsburgh, PA 15213, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Conference: iclr 2021 (main track)
Keywords: adversarial examples;perturbation sets;robust machine learning;conditional variational autoencoder
Decision: Poster
Title: Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
Authors: Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai
Affiliations: SenseTime Research; The Chinese University of Hong Kong and SenseTime Research; SenseTime Research and Qing Yuan Research Institute, Shanghai Jiao Tong University; Tsinghua University; The Chinese University of Hong Kong
Conference: iclr 2021 (main track)
Keywords: Loss Function Search;Metric Surrogate;Semantic Segmentation
Decision: Poster
Title: Unbiased Teacher for Semi-Supervised Object Detection
Authors: Yen-Cheng Liu, Chih-Yao Ma, Zijian He, Chia-Wen Kuo, Kan Chen, Peizhao Zhang, Bichen Wu, Zsolt Kira, Peter Vajda
Affiliations: Facebook Inc.; Georgia Tech
Conference: iclr 2021 (main track)
Keywords: Object Detection
Decision: Poster
Title: Contrastive Divergence Learning is a Time Reversal Adversarial Game
Authors: Omer Yair, Tomer Michaeli
Affiliations: Department of Electrical Engineering, Technion - Israel Institute of Technology, Haifa, Israel
Conference: iclr 2021 (main track)
Keywords: Unsupervised learning;energy based model;adversarial learning;contrastive divergence;noise contrastive estimation
Decision: Spotlight
Title: Hopper: Multi-hop Transformer for Spatiotemporal Reasoning
Authors: Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Min, Mubbasir Kapadia, Hans P Graf
Affiliations: NEC Laboratories America, Inc., San Jose, CA, USA; Department of Computer Science, Rutgers University, Piscataway, NJ, USA
Conference: iclr 2021 (main track)
Keywords: Multi-hop Reasoning;Object Permanence;Spatiotemporal Understanding;Video Recognition;Transformer
Decision: Poster
Title: Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit
Authors: Ben Adlam, Jaehoon Lee, Lechao Xiao, Jeffrey Pennington, Jasper Snoek
Affiliations: Google Brain
Conference: iclr 2021 (main track)
Keywords: Deep Learning;Uncertainty;Infinite-Width Limit;Neural Network Gaussian Process;Bayesian Neural Networks;Gaussian Process
Decision: Poster
Title: Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
Authors: Max B Paulus, Chris Maddison, Andreas Krause
Affiliations: ETH Zürich; ETH Zürich, MPI for Intelligent Systems, Tübingen; University of Toronto, Vector Institute
Conference: iclr 2021 (main track)
Keywords: gumbel;softmax;gumbel-softmax;straight-through;straightthrough;rao;rao-blackwell
Decision: Oral
Title: Complex Query Answering with Neural Link Predictors
Authors: Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
Affiliations: Vrije Universiteit Amsterdam, The Netherlands; Discovery Lab, Elsevier, The Netherlands; UCL Centre for Artiﬁcial Intelligence, University College London, United Kingdom
Conference: iclr 2021 (main track)
Keywords: neural link prediction;complex query answering
Decision: Oral
Title: Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
Authors: Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
Affiliations: AI Platform, Kwai Inc.; Department of Computer Science and Engineering, Texas A&M University
Conference: iclr 2021 (main track)
Keywords: Reinforcement Learning;Exploration;Generalization of Reinforcement Learning;Self-Imitation
Decision: Poster
Title: Uncertainty-aware Active Learning for Optimal Bayesian Classifier
Authors: Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis Alexander, Xiaoning Qian
Affiliations: Department of Electrical & Computer Engineering, Texas A&M University; Department of Electrical & Computer Engineering, Texas A&M University; Computational Science Initiative, Brookhaven National Laboratory; Department of Electrical & Computer Engineering, Texas A&M University; Department of Computer Science & Engineering, Texas A&M University; Computational Science Initiative, Brookhaven National Laboratory
Conference: iclr 2021 (main track)
Keywords: Active learning;Bayesian classification
Decision: Poster
Title: Geometry-Aware Gradient Algorithms for Neural Architecture Search
Authors: Liam Li, Mikhail Khodak, Nina Balcan, Ameet Talwalkar
Affiliations: Determined AI; Carnegie Mellon University; Determined AI, Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: neural architecture search;automated machine learning;weight-sharing;optimization
Decision: Spotlight
Title: Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Authors: Tsung-Wei Ke, Jyh-Jing Hwang, Stella Yu
Affiliations: UC Berkeley / ICSI
Conference: iclr 2021 (main track)
Keywords: weakly supervised representation learning;representation learning for computer vision;metric learning;semantic segmentation
Decision: Poster
Title: My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
Authors: Vitaly Kurin, Maximilian Igl, Tim Rocktaeschel, Wendelin Boehmer, Shimon Whiteson
Affiliations: Department of Software Technology, Delft University of Technology, Delft, Netherlands; Department of Computer Science, University College London, London, United Kingdom; Department of Computer Science, University of Oxford, Oxford, United Kingdom
Conference: iclr 2021 (main track)
Keywords: Deep Reinforcement Learning;Multitask Reinforcement Learning;Graph Neural Networks;Continuous Control;Incompatible Environments
Decision: Poster
Title: FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders
Authors: Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
Affiliations: Department of Electrical and Computer Engineering, Duke University
Conference: iclr 2021 (main track)
Keywords: Fairness;Contrastive Learning;Mutual Information;Pretrained Text Encoders
Decision: Poster
Title: Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Authors: Shyam Tailor, Javier Fernandez-Marques, Nicholas Lane
Affiliations: Department of Computer Science, University of Oxford; Department of Computer Science & Technology, University of Cambridge; Department of Computer Science and Technology, University of Cambridge & Samsung AI Center
Conference: iclr 2021 (main track)
Keywords: Graph neural networks;quantization;benchmark
Decision: Poster
Title: Learning Value Functions in Deep Policy Gradients using Residual Variance
Authors: Yannis Flet-Berliac, reda ouhamma, odalric-ambrym maillard, philippe preux
Affiliations: Inria, Scool team; Inria, Scool team, Univ. Lille, CRIStAL, CNRS
Conference: iclr 2021 (main track)
Decision: Poster
Title: Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Authors: Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
Affiliations: Salesforce Research; Cornell University; Google
Conference: iclr 2021 (main track)
Keywords: Mutual Information;Unsupervised Learning;Sequence Data;Masked Reconstruction
Decision: Poster