hunoutl/paperlists huggingface dataset:
Title: Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
Authors: Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong
Affiliations: MOLOCO; KAIST; University of Michigan; Google Research
Conference: iclr 2021 (main track)
Keywords: Video prediction;generative model;long-term prediction
Decision: Poster
Title: WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
Authors: Renkun Ni, Hong-Min Chu, Oscar Castaneda, Ping-yeh Chiang, Christoph Studer, Tom Goldstein
Affiliations: ETH Zurich; University of Maryland
Conference: iclr 2021 (main track)
Keywords: quantization;efficient inference
Decision: Poster
Title: RMSprop converges with proper hyper-parameter
Authors: Naichen Shi, Dawei Li, Mingyi Hong, Ruoyu Sun
Affiliations: IOE, University of Michigan, naichens@umich.edu; ECE, University of Minnesota - Twin Cities, mhong@umn.edu; ISE, University of Illinois at Urbana-Champaign, dawei2@illinois.edu; University of Illinois at Urbana-Champaign, ruoyus@illinois.edu
Conference: iclr 2021 (main track)
Keywords: RMSprop;convergence;hyperparameter
Decision: Spotlight
Title: Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate
Authors: Jingfeng Wu, Difan Zou, vladimir braverman, Quanquan Gu
Affiliations: Computer Science Department, University of California, Los Angeles, Los Angeles, CA 90095, USA; Computer Science Department, Johns Hopkins University, Baltimore, MD 21218, USA
Conference: iclr 2021 (main track)
Keywords: SGD;regularization;implicit bias
Decision: Poster
Title: Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Authors: Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Gu
Affiliations: The University of Tokyo; Google Research
Conference: iclr 2021 (main track)
Keywords: Reinforcement Learning;deployment-efficiency;offline RL;Model-based RL
Decision: Poster
Title: Pre-training Text-to-Text Transformers for Concept-centric Common Sense
Authors: Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Xiang Ren
Affiliations: University of Southern California; Beihang University
Conference: iclr 2021 (main track)
Keywords: Language Model Pre-training;Commonsense Reasoning;Self-supervised Learning
Decision: Poster
Title: Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Authors: Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev
Affiliations: Massachusetts Institute of Technology, Geometric Data Processing Group, Cambridge, Massachusetts, USA; Skolkovo Institute of Science and Technology, Advanced Data Analytics in Science and Engineering Group, Moscow, Russia
Conference: iclr 2021 (main track)
Keywords: wasserstein-2 barycenters;non-minimax optimization;cycle-consistency regularizer;input convex neural networks;continuous case
Decision: Poster
Title: The geometry of integration in text classification RNNs
Authors: Kyle Aitken, Vinay Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan
Affiliations: Department of Physics, University of Washington, Seattle, WA; Blueshift, Alphabet, Mountain View, CA; Google Research, Mountain View, CA
Conference: iclr 2021 (main track)
Keywords: Recurrent neural networks;dynamical systems;interpretability;document classification;reverse engineering
Decision: Poster
Title: Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
Authors: Kangle Deng, Aayush Bansal, Deva Ramanan
Affiliations: Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: iclr 2021 (main track)
Keywords: unsupervised learning;autoencoders;speech-impaired;assistive technology;audiovisual synthesis;voice conversion
Decision: Poster
Title: Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Authors: Shuhei Kurita, Kyunghyun Cho
Affiliations: AIP, RIKEN, PRESTO, JST; Courant Institute, New York University, Center for Data Science, New York University, CIFAR Fellow
Conference: iclr 2021 (main track)
Keywords: vision-and-language-navigation
Decision: Poster
Title: Fooling a Complete Neural Network Verifier
Authors: Dániel Zombori, Balázs Bánhelyi, Tibor Csendes, István Megyeri, Márk Jelasity
Affiliations: Institute of Informatics, University of Szeged, Hungary
Conference: iclr 2021 (main track)
Keywords: adversarial examples;complete verifiers;numerical errors
Decision: Poster
Title: Latent Convergent Cross Mapping
Authors: Edward De Brouwer, Adam Arany, Jaak Simm, Yves Moreau
Affiliations: ESAT-STADIUS, KU LEUVEN, Leuven, 3001, Belgium
Conference: iclr 2021 (main track)
Keywords: Causality;Time Series;Chaos;Neural ODE;Missing Values
Decision: Poster
Title: Multi-Time Attention Networks for Irregularly Sampled Time Series
Authors: Satya Narayan Shukla, Benjamin M Marlin
Affiliations: College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA
Conference: iclr 2021 (main track)
Keywords: irregular sampling;multivariate time series;attention;missing data
Decision: Poster
Title: Evaluations and Methods for Explanation through Robustness Analysis
Authors: Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep K Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh
Affiliations: Department of Computer Science, UCLA and Google Research; Department of Computer Science, UCLA; Machine Learning Department, Carnegie Mellon University; Google Research; Paul G. Allen School of Computer Science, University of Washington
Conference: iclr 2021 (main track)
Keywords: Interpretability;Explanations;Adversarial Robustness
Decision: Poster
Title: Scalable Bayesian Inverse Reinforcement Learning
Authors: Alex Chan, Mihaela van der Schaar
Affiliations: University of Cambridge, Cambridge, UK; University of Cambridge, Cambridge, UK; University of California, Los Angeles, USA; Cambridge Centre for AI in Medicine, UK; The Alan Turing Institute, London, UK
Conference: iclr 2021 (main track)
Keywords: Bayesian;Inverse reinforcement learning;Imitation Learning
Decision: Poster
Title: Generalized Multimodal ELBO
Authors: Thomas Sutter, Imant Daunhawer, Julia E Vogt
Affiliations: Department of Computer Science, ETH Zurich, 8092 Zurich, Switzerland
Conference: iclr 2021 (main track)
Keywords: Multimodal;VAE;ELBO;self-supervised;generative learning
Decision: Poster
Title: Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
Authors: Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li
Affiliations: Sun Yat-Sen University; Huawei Noah’s Ark Lab; Tsinghua Shenzhen International Graduate School, Tsinghua University
Conference: iclr 2021 (main track)
Keywords: Object detection;AutoML;Evolutionary algorithm;Loss function search
Decision: Poster
Title: Autoregressive Entity Retrieval
Authors: Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
Affiliations: Facebook AI Research; Facebook AI Research, University College London; University of Amsterdam, Facebook AI Research; Facebook AI Research, ENS, PSL University, Inria
Conference: iclr 2021 (main track)
Keywords: entity retrieval;document retrieval;autoregressive language model;entity linking;end-to-end entity linking;entity disambiguation;constrained beam search
Decision: Spotlight
Title: Spatially Structured Recurrent Modules
Authors: Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schoelkopf
Affiliations: Université de Montreal; Bethgelab, Eberhard Karls Universität Tübingen; Max-Planck Institute for Intelligent Systems Tübingen; Mila, Québec
Conference: iclr 2021 (main track)
Keywords: spatio-temporal modelling;modular architectures;recurrent neural networks;partially observed environments
Decision: Poster
Title: Enforcing robust control guarantees within neural network policies
Authors: Priya Donti, Melrose Roderick, Mahyar Fazlyab, Zico Kolter
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Bosch Center for AI; Johns Hopkins University
Conference: iclr 2021 (main track)
Keywords: robust control;reinforcement learning;differentiable optimization
Decision: Poster
Title: VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Authors: Zhisheng Xiao, Karsten Kreis, Jan Kautz, Arash Vahdat
Affiliations: Computational and Applied Mathematics, The University of Chicago; NVIDIA
Conference: iclr 2021 (main track)
Keywords: Energy-based Models;Variational Auto-encoder;MCMC
Decision: Spotlight
Title: Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
Authors: Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
Affiliations: University of Southern California, USC Information Sciences Institute; University of Southern California; Google Research
Conference: iclr 2021 (main track)
Keywords: Graph;Learning;Algorithm;Scale;Message Passing;Node Embeddings
Decision: Poster
Title: DOP: Off-Policy Multi-Agent Decomposed Policy Gradients
Authors: Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
Conference: iclr 2021 (main track)
Keywords: Multi-Agent Reinforcement Learning;Multi-Agent Policy Gradients
Decision: Poster
Title: Sharpness-aware Minimization for Efficiently Improving Generalization
Authors: Pierre Foret, Ariel Kleiner, Hossein Mobahi, Behnam Neyshabur
Affiliations: Blueshift, Alphabet; Google Research
Conference: iclr 2021 (main track)
Keywords: Sharpness Minimization;Generalization;Regularization;Training Method;Deep Learning
Decision: Spotlight
Title: Parameter Efficient Multimodal Transformers for Video Representation Learning
Authors: Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel, Jan Kautz, Yale Song
Affiliations: Seoul National University; Microsoft Research; NVIDIA Research
Conference: iclr 2021 (main track)
Keywords: Self-supervised learning;audio-visual representation learning;video representation learning
Decision: Poster
Title: FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Authors: Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou
Affiliations: Department of Computer Science and Engineering, The Chinese University of Hong Kong; Department of Statistics, Iowa State University; Dept of Data Science and AI, Faculty of IT, Monash University; Department of Computer Science, Princeton University
Conference: iclr 2021 (main track)
Keywords: Federated Learning;Non-IID;Batch Normalization
Decision: Poster
Title: Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design
Authors: Xiufeng Yang, Tanuj Aasawat, Kazuki Yoshizoe
Affiliations: Parallel Computing Lab - India, Intel Labs; RIKEN Center for Advanced Intelligence Project; Chugai Pharmaceutical Co., Ltd
Conference: iclr 2021 (main track)
Keywords: parallel Monte Carlo Tree Search (MCTS);Upper Confidence bound applied to Trees (UCT);molecular design
Decision: Poster
Title: A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Authors: Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris Metaxas, Sergey Tulyakov
Affiliations: Snap Inc.; Rutgers University; University of Delaware
Conference: iclr 2021 (main track)
Keywords: high-resolution video generation;contrastive learning;cross-domain video generation
Decision: Spotlight
Title: DDPNOpt: Differential Dynamic Programming Neural Optimizer
Authors: Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou
Affiliations: School of Electrical and Computer Engineering, Georgia Institute of Technology, USA; Center for Machine Learning, School of Aerospace Engineering, Georgia Institute of Technology, USA
Conference: iclr 2021 (main track)
Keywords: deep learning training;optimal control;trajectory optimization;differential dynamica programming
Decision: Spotlight
Title: Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
Authors: Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
Affiliations: Department of ECE, University of Utah, Salt Lake City, UT 84112; Department of EE, University at Buffalo, Buffalo, NY 14260
Conference: iclr 2021 (main track)
Keywords: Optimization;Reinforcement Learning;Machine Learning
Decision: Poster
Title: ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
Authors: Hengrui Cai, Rui Song, Wenbin Lu
Affiliations: North Carolina State University, Raleigh, USA
Conference: iclr 2021 (main track)
Keywords: Causal network;Constrained optimization;COVID-19;Individual mediation effects;Structure learning
Decision: Poster
Title: Optimal Regularization can Mitigate Double Descent
Authors: Preetum Nakkiran, Prayaag Venkat, Sham M Kakade, Tengyu Ma
Affiliations: Stanford University; Harvard University; Microsoft Research & University of Washington
Conference: iclr 2021 (main track)
Keywords: double descent;generalization;regularization;regression;monotonicity
Decision: Poster
Title: Monte-Carlo Planning and Learning with Language Action Value Estimates
Authors: Youngsoo Jang, Seokin Seo, Jongmin Lee, Kee-Eung Kim
Affiliations: Graduate School of AI, KAIST, Daejeon, Republic of Korea; School of Computing, KAIST, Daejeon, Republic of Korea
Conference: iclr 2021 (main track)
Keywords: natural language processing;Monte-Carlo tree search;reinforcement learning;interactive fiction
Decision: Poster
Title: A Learning Theoretic Perspective on Local Explainability
Authors: Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar
Affiliations: Carnegie Mellon University & Determined AI; University of Washington; Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: Interpretability;Learning Theory;Local Explanations;Generalization
Decision: Poster
Title: Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning
Authors: Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University; Microsoft Research Asia
Conference: iclr 2021 (main track)
Keywords: privacy preserving machine learning;differentially private deep learning;gradient redundancy
Decision: Poster
Title: Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
Authors: Yingxue Zhou, Steven Wu, Arindam Banerjee
Affiliations: Department of Computer Science, University of Illinois Urbana-Champaign; Department of Computer Science & Engineering, University of Minnesota; School of Computer Science, Carnegie Mellon University
Conference: iclr 2021 (main track)
Decision: Poster
Title: Class Normalization for (Continual)? Generalized Zero-Shot Learning
Authors: Ivan Skorokhodov, Mohamed Elhoseiny
Affiliations: King Abdullah University of Science and Technology (KAUST), Saudi Arabia; Moscow Institute of Physics and Technology (MIPT), Russia; King Abdullah University of Science and Technology (KAUST), Saudi Arabia
Conference: iclr 2021 (main track)
Keywords: zero-shot learning;normalization;continual learning;initialization
Decision: Poster
Title: Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Authors: Robert Csordas, Sjoerd van Steenkiste, Jürgen Schmidhuber
Affiliations: IDSIA / USI / SUPSI / NNAISENSE; IDSIA / USI / SUPSI
Conference: iclr 2021 (main track)
Keywords: modularity;systematic generalization;compositionality
Decision: Poster
Title: Noise against noise: stochastic label noise helps combat inherent label noise
Authors: Pengfei Chen, Guangyong Chen, Junjie Ye, jingwei zhao, Pheng-Ann Heng
Affiliations: VIVO AI Lab; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; The Chinese University of Hong Kong
Conference: iclr 2021 (main track)
Keywords: Noisy Labels;Robust Learning;SGD noise;Regularization
Decision: Spotlight
Title: Linear Convergent Decentralized Optimization with Compression
Authors: Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
Affiliations: Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48823, USA; Department of Mathematics, Michigan State University, East Lansing, MI 48823, USA; Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI 48823, USA
Conference: iclr 2021 (main track)
Keywords: Decentralized Optimization;Communication Compression;Linear Convergence;Heterogeneous data
Decision: Poster
Title: CPT: Efficient Deep Neural Network Training via Cyclic Precision
Authors: Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
Affiliations: Facebook Inc; Department of Electrical and Computer Engineering, Rice University
Conference: iclr 2021 (main track)
Keywords: Efficient training;low precision training
Decision: Spotlight
Title: Separation and Concentration in Deep Networks
Authors: John Zarka, Florentin Guth, Stéphane Mallat
Affiliations: Département d’informatique de l’ENS, ENS, CNRS, PSL University, Paris, France; Collège de France, Paris, France; Flatiron Institute, New York, USA
Conference: iclr 2021 (main track)
Keywords: fisher ratio;neural collapse;mean separation;concentration;variance reduction;deep learning;image classification
Decision: Poster
Title: On the Critical Role of Conventions in Adaptive Human-AI Collaboration
Authors: Andy Shih, Arjun Sawhney, Jovana Kondic, Stefano Ermon, Dorsa Sadigh
Affiliations: Stanford University; Princeton University
Conference: iclr 2021 (main track)
Keywords: Multi-agent games;emergent behavior;transfer learning;human-AI collaboration
Decision: Poster
Title: Implicit Normalizing Flows
Authors: Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu
Affiliations: Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University, Beijing, 100084 China; Center for Data Science, Peking University, Beijing, 100871 China; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, Tsinghua University, Beijing, 100084 China
Conference: iclr 2021 (main track)
Keywords: Normalizing flows;deep generative models;probabilistic inference;implicit functions
Decision: Spotlight
Title: On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
Authors: Zhong Li, Jiequn Han, Weinan E, Qianxiao Li
Affiliations: Department of Mathematics and PACM, Princeton Univeristy; Department of Mathematics, Princeton University; School of Mathematical Science, Peking University; Department of Mathematics, National University of Singapore; IHPC, A*STAR, Singapore
Conference: iclr 2021 (main track)
Keywords: recurrent neural network;dynamical system;universal approximation;optimization;curse of memory
Decision: Poster
Title: On the Transfer of Disentangled Representations in Realistic Settings
Authors: Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wuthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schoelkopf
Affiliations: Max Planck Institute for Intelligent Systems, CIFAR Azrieli Global Scholar; Max Planck Institute for Intelligent Systems, ETH Zurich, Department for Computer Science; Technical University of Denmark; Technical University of Denmark, Copenhagen University Hospital, University of Copenhagen; Max Planck Institute for Intelligent Systems
Conference: iclr 2021 (main track)
Keywords: representation learning;disentanglement;real-world
Decision: Poster
Title: PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds
Authors: Yujia Liu, Stefano D'Aronco, Konrad Schindler, Jan D Wegner
Affiliations: EcoVision Lab, Photogrammetry and Remote Sensing, ETH Zürich
Conference: iclr 2021 (main track)
Keywords: deep neural network;3d point cloud;wireframe model
Decision: Poster
Title: FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
Authors: Lanqing Li, Rui Yang, Dijun Luo
Affiliations: Tencent AI Lab; Department of Automation, Tsinghua University
Conference: iclr 2021 (main track)
Keywords: offline/batch reinforcement learning;meta-reinforcement learning;multi-task reinforcement learning;distance metric learning;contrastive learning
Decision: Poster
Title: MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
Authors: Duy-Kien Nguyen, Vedanuj Goswami, Xinlei Chen
Affiliations: Facebook AI Research (FAIR)
Conference: iclr 2021 (main track)
Keywords: visual counting;visual question answering;common object counting;visual reasoning;modulated convolution
Decision: Poster
Title: Continual learning in recurrent neural networks
Authors: Benjamin Ehret, Christian Henning, Maria Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F Grewe
Affiliations: Institute of Neuroinformatics, University of Zürich and ETH Zürich, Zürich, Switzerland
Conference: iclr 2021 (main track)
Keywords: Recurrent Neural Networks;Continual Learning
Decision: Poster
Title: How Does Mixup Help With Robustness and Generalization?
Authors: Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou
Affiliations: Stanford University; Harvard University; Rutgers University
Conference: iclr 2021 (main track)
Keywords: Mixup;adversarial robustness;generalization
Decision: Spotlight
Title: Learning a Latent Search Space for Routing Problems using Variational Autoencoders
Authors: André Hottung, Bhanu Bhandari, Kevin Tierney
Affiliations: University of Massachusetts Amherst, Amherst, MA, USA; Bielefeld University, Bielefeld, Germany
Conference: iclr 2021 (main track)
Keywords: heuristic search;variational autoencoders;learning to optimize;routing problems;traveling salesperson problem;vehicle routing problem;combinatorial optimization
Decision: Poster
Title: Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Authors: Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek Kamilov
Affiliations: Washington University in St. Louis; Los Alamos National Laboratory
Conference: iclr 2021 (main track)
Keywords: Regularization by denoising;Computational imaging;asynchronous parallel algorithm;Deep denoising priors
Decision: Spotlight
Title: Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Authors: Mingyang Yi, LU HOU, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
Affiliations: University of Chinese Academy of Sciences; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Huawei Noah's Ark Lab
Conference: iclr 2021 (main track)
Keywords: data augmentation;sample reweighting
Decision: Poster
Title: Progressive Skeletonization: Trimming more fat from a network at initialization
Authors: Pau de Jorge Aranda, Amartya Sanyal, Harkirat Singh Behl, Philip Torr, Grégory Rogez, Puneet Dokania
Affiliations: University of Oxford & Five AI Limited; University of Oxford; University of Oxford & NAVER LABS Europe; NAVER LABS Europe; University of Oxford & The Alan Turing Institute, London, UK
Conference: iclr 2021 (main track)
Keywords: Pruning;Pruning at initialization;Sparsity
Decision: Poster
Title: Multi-timescale Representation Learning in LSTM Language Models
Authors: Shivangi Mahto, Vy Vo, Javier Turek, Alexander Huth
Affiliations: Depts. of Computer Science & Neuroscience, The University of Texas at Austin, Austin, TX, USA; Department of Computer Science, Brain-Inspired Computing Lab, The University of Texas at Austin; Intel Labs, Hillsboro, OR, USA
Conference: iclr 2021 (main track)
Keywords: Language Model;LSTM;timescales
Decision: Poster
Title: BiPointNet: Binary Neural Network for Point Clouds
Authors: Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
Affiliations: SenseTime Research; University of California, San Diego; State Key Lab of Software Development Environment, Beihang University
Conference: iclr 2021 (main track)
Keywords: point clouds;efficient deep learning;binary neural networks
Decision: Poster