hunoutl/paperlists huggingface dataset:
Title: ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Authors: Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler
Affiliations: Max Planck Institute for Intelligent Systems Tübingen, University of Tübingen, Max Planck ETH Center for Learning Systems, NVIDIA; NVIDIA; Max Planck Institute for Intelligent Systems Tübingen, University of Tübingen, Max Planck ETH Center for Learning Systems; NVIDIA, University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: Indoor Scene Synthesis;Layout Generation;Autoregressive Set Generation;Generative Models
Decision: Poster
Title: Convex Polytope Trees
Authors: Mohammadreza Armandpour, Ali Sadeghian, Mingyuan Zhou
Affiliations: McCombs School of Business, The University of Texas at Austin; Department of Computer Science, University of Florida; Department of Statistics, Texas A&M University
Conference: nips 2021 (main track)
Keywords: Bayesian Methods;Logical Disjunction;Probabilistic Models;Decision Tree;Oblique tree
Decision: Poster
Title: Parameter Inference with Bifurcation Diagrams
Authors: Gregory Szep, Neil Dalchau, Attila Csikász-Nagy
Affiliations: King’s College London, London, WC2R 2LS, UK; Pázmány Péter Catholic University, Budapest, 1083, Hungary; Microsoft Research Cambridge, Cambridge, CB1 2FB, UK
Conference: nips 2021 (main track)
Keywords: differential equations;bifurcations;parameter inference
Decision: Poster
Title: AC-GC: Lossy Activation Compression with Guaranteed Convergence
Authors: R David Evans, Tor Aamodt
Affiliations: Dept. of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4
Conference: nips 2021 (main track)
Keywords: DNN training;lossy compression;SGD;convergence;memory efficient training;training;deep learning
Decision: Poster
Title: Exact marginal prior distributions of finite Bayesian neural networks
Authors: Jacob Zavatone-Veth, Cengiz Pehlevan
Affiliations: Department of Physics, Harvard University, Cambridge, MA 02138; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138
Conference: nips 2021 (main track)
Keywords: Bayesian neural networks;inductive bias;infinite-width limits
Decision: Spotlight
Title: Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Authors: Jesse Hagenaars, Federico Paredes-Valles, Guido de Croon
Affiliations: Micro Air Vehicle Laboratory, Delft University of Technology, The Netherlands
Conference: nips 2021 (main track)
Keywords: spiking neural networks;neuromorphic computing;event camera;self-supervised learning;optical flow
Decision: Poster
Title: Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
Authors: Maximilian Stadler, Bertrand Charpentier, Simon Geisler, Daniel Zügner, Stephan Günnemann
Affiliations: Department of Informatics, Technical University of Munich, Germany
Conference: nips 2021 (main track)
Keywords: Uncertainty;Bayesian rule;Posterior;Graph;Classification
Decision: Poster
Title: Rectifying the Shortcut Learning of Background for Few-Shot Learning
Authors: Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian
Affiliations: Xidian University; University of Science and Technology of China; Huazhong University of Science and Technology; University of Electronic Science and Technology of China; Tsinghua University; Harbin Institute of Technology Shenzhen, Pengcheng Laboratory
Conference: nips 2021 (main track)
Keywords: Few-Shot Learning;Foreground and Background;Shortcut Learning;Contrastive Learning
Decision: Poster
Title: FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
Authors: Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiangyang Li, Edward Lin, Tie-Yan Liu
Affiliations: Microsoft Research Asia; University of Science and Technology of China; Tsinghua University; Microsoft Azure Speech
Conference: nips 2021 (main track)
Keywords: Automatic speech recognition;Error correction;Non-autoregressive model;Post-processing;Edit alignment
Decision: Poster
Title: Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Authors: Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Affiliations: Institute for Artiﬁcial Intelligence, Peking University, Beijing, China; Key Lab. of Machine Perception, School of Artiﬁcial Intelligence, Peking University, Beijing, China; School of Mathematical Sciences, Peking University, Beijing, China
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Graph Heat Equation;Linear Models
Decision: Poster
Title: E(n) Equivariant Normalizing Flows
Authors: Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling
Affiliations: Department of Engineering Science, University of Oxford; UvA-Bosch Delta Lab, University of Amsterdam
Conference: nips 2021 (main track)
Keywords: equivariance;normalizing flows;molecule generation;generative models;graph neural networks
Decision: Oral
Title: Meta-Learning for Relative Density-Ratio Estimation
Authors: Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Affiliations: NTT Communication Science Laboratories; NTT Computer and Data Science Laboratories
Conference: nips 2021 (main track)
Keywords: density-ratio estimation;relative density-ratio estimation;meta-learning;neural networks
Decision: Poster
Title: A single gradient step finds adversarial examples on random two-layers neural networks
Authors: Sebastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes
Affiliations: Mila, Université de Montréal⇤Canada CIFAR AI Chair; Microsoft Research; UC Berkeley
Conference: nips 2021 (main track)
Keywords: adversarial examples;random neural networks;deep-learning theory
Decision: Spotlight
Title: Dynamic population-based meta-learning for multi-agent communication with natural language
Authors: Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou
Affiliations: MILA, abhinavg@nyu.edu; DeepMind, lanctot@deepmind.com; DeepMind, angeliki@deepmind.com
Conference: nips 2021 (main track)
Keywords: emergent communication;meta-learning;population-based methods;multi-agent reinforcement learning;few-shot generalization;human-AI coordination
Decision: Poster
Title: Scaling Vision with Sparse Mixture of Experts
Authors: Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby
Affiliations: Google Brain
Conference: nips 2021 (main track)
Keywords: sparse;model;mixture;experts;sparsity;vision;conditional;computation;routing;router;adaptive;compute
Decision: Poster
Title: Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Authors: Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
Affiliations: IIIS, Tsinghua University; CMS, Caltech
Conference: nips 2021 (main track)
Keywords: Multi-agent reinforcement learning;networks;state aggregation;actor-critic
Decision: Poster
Title: Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
Authors: Deng-Bao Wang, Lei Feng, Min-Ling Zhang
Affiliations: College of Computer Science, Chongqing University, Chongqing, 400044, China; School of Computer Science and Engineering, Southeast University, Nanjing 210096, China; School of Computer Science and Engineering, Southeast University, Nanjing 210096, China; Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China
Conference: nips 2021 (main track)
Keywords: Deep Neural Networks;Calibration;Regularization
Decision: Poster
Title: Differentiable Multiple Shooting Layers
Authors: Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
Affiliations: KAIST; The University of Tokyo, RIKEN; KAIST, DiffEqML; The University of Tokyo; RIKEN; The University of Tokyo, DiffEqML
Conference: nips 2021 (main track)
Keywords: continuous-time neural models;implicit deep learning;numerical methods;optimal control;time series
Decision: Poster
Title: Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
Authors: Junhui Zhang, Jingkai Yan, John Wright
Affiliations: Department of Electrical Engineering, Columbia University, New York, NY 10027, jw2966@columbia.edu; Department of Electrical Engineering, Columbia University, New York, NY 10027, jy2927@columbia.edu; Department of Applied Physics and Applied Math, Columbia University, New York, NY 10027, jz2903@columbia.edu
Conference: nips 2021 (main track)
Keywords: matrix recovery;ADMM;convex optimization
Decision: Poster
Title: Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Authors: Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu
Affiliations: University of California San Diego; Northwestern University; Northeastern University
Conference: nips 2021 (main track)
Keywords: symmetry discovery;equivariance;group convolutional neural network;inductive bias;group equivariant architecture;Lie group;Lie algebra;scientific machine learning;physics
Decision: Poster
Title: Autobahn: Automorphism-based Graph Neural Nets
Authors: Erik Thiede, Wenda Zhou, Risi Kondor
Affiliations: Center for Computational Mathematics, Flatiron Institute, New York NY 10010; Center for Data Science, New York University, New York NY 10011; Department of Computer Science, University of Chicago, Chicago IL 60637
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Group Equivariance
Decision: Poster
Title: Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Authors: Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar
Affiliations: Department of ECE and the CSL at the University of Illinois at Urbana-Champaign; LIDS and the CSAIL at the Massachusetts Institute of Technology
Conference: nips 2021 (main track)
Keywords: Robust Control;Policy Gradient;Reinforcement Learning;Nonconvex-Nonconcave Optimization
Decision: Poster
Title: Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
Authors: Spencer Frei, Quanquan Gu
Affiliations: Department of Computer Science, University of California, Los Angeles; Simons Institute for the Theory of Computing, University of California, Berkeley
Conference: nips 2021 (main track)
Keywords: nonconvex optimization;deep learning;neural networks;gradient descent
Decision: Poster
Title: See More for Scene: Pairwise Consistency Learning for Scene Classification
Authors: Gongwei Chen, Xinhang Song, Bohan Wang, Shuqiang Jiang
Affiliations: Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing; Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing; Institute of Intelligent Computing Technology, Suzhou, CAS
Conference: nips 2021 (main track)
Keywords: pairwise learning;scene classification;convolution neural networks
Decision: Poster
Title: EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction
Authors: Ard Kastrati
Affiliations: University of Zurich, Switzerland; ETH Zurich, Switzerland
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: electroencephalography;eye-tracking;deep learning;dataset;benchmark
Decision: Poster
Title: $\texttt{RP-Mod}\ \&\ \texttt{RP-Crowd:}$ Moderator- and Crowd-Annotated German News Comment Datasets
Affiliations: University of Koblenz-Landau; University of Münster, University of Twente; University of Münster
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Abusive Language Detection;Newspaper;Comment Moderation;Crowd Study;NLP
Decision: Poster
Title: Subquadratic Overparameterization for Shallow Neural Networks
Authors: ChaeHwan Song, Ali Ramezani-Kebrya, Thomas Pethick, Armin Eftekhari, Volkan Cevher
Affiliations: Umea University (This work was done while Armin Eftekhari was at EPFL); Laboratory for Information and Inference Systems (LIONS), EPFL
Conference: nips 2021 (main track)
Keywords: Overparameterization;Gradient Descent;Neural Networks;Global Convergence;Initialization
Decision: Poster
Title: DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Authors: Yi Xu, Jiandong Ding, Lu Zhang, Shuigeng Zhou
Affiliations: Alibaba Group; Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, China
Conference: nips 2021 (main track)
Keywords: semi-supervised learning;data programming;classification
Decision: Poster
Title: Lattice partition recovery with dyadic CART
Authors: OSCAR HERNAN MADRID PADILLA, Yi Yu, Alessandro Rinaldo
Affiliations: Department of Statistics, University of Warwick; Department of Statistics, University California, Los Angeles; Department of Statistics & Data Science, Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: Classification and Regression Trees (CART);Recursive Dyadic Partitions;Piecewise Constant Signals;Partition Recovery
Decision: Poster
Title: Scalars are universal: Equivariant machine learning, structured like classical physics
Authors: Soledad Villar, David W Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith
Affiliations: Center for Data Science, New York University; Flatiron Institute, a division of the Simons Foundation; Department of Technology, Operations, and Statistics, Stern School of Business, New York University; Center for Cosmology and Particle Physics, Department of Physics, New York University; Department of Applied Mathematics and Statistics, Johns Hopkins University
Conference: nips 2021 (main track)
Keywords: invariant theory;group theory;physics;regression;machine learning;symmetry;scalars
Decision: Poster
Title: MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Authors: Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
Affiliations: Huawei Noah’s Ark Lab, Department of Computer Science, Kyung-Hee University, South Korea; Huawei Noah’s Ark Lab; Department of Computer Science, Kyung-Hee University, South Korea
Conference: nips 2021 (main track)
Keywords: adversarial robustness;robustness transfer;robust pre-training
Decision: Poster
Title: Global-aware Beam Search for Neural Abstractive Summarization
Authors: Ye Ma, Zixun Lan, Lu Zong, Kaizhu Huang
Affiliations: Department of Financial and Actuarial Mathematics, School of Science, Laboratory for Intelligent Computing and Financial Technology, Xi’an Jiaotong-Liverpool University, SIP, 215123 Suzhou, China; Department of Intelligent Science, School of Advanced Technology, Laboratory for Intelligent Computing and Financial Technology, Xi’an Jiaotong-Liverpool University, SIP, 215123 Suzhou, China; Department of Applied Mathematics, School of Science, Laboratory for Intelligent Computing and Financial Technology, Xi’an Jiaotong-Liverpool University, SIP, 215123 Suzhou, China
Conference: nips 2021 (main track)
Keywords: beam search;global optimal;global attention distribution;summarization;sequence-to-sequence
Decision: Poster
Title: Neural Circuit Synthesis from Specification Patterns
Authors: Frederik Schmitt, Christopher Hahn, Markus Rabe, Bernd Finkbeiner
Affiliations: Google Research, Mountain View, California, USA; CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
Conference: nips 2021 (main track)
Keywords: Transformer;Temporal Logic;Synthesis;Circuits
Decision: Poster
Title: Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
Authors: Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
Affiliations: LITIS & IRISA, Rouen & Vannes, France; IRIT, Université de Toulouse, CNRS, Toulouse, France; IRISA, Université Bretagne-Sud, Vannes, France; LITIS, INSA Rouen Normandie, Rouen, France; CMAP, Ecole Polytechnique, Palaiseau, France
Conference: nips 2021 (main track)
Keywords: Optimal Transport;Unbalanced Optimal Transport;Penalized Linear Regression;Lasso;MM algorithms
Decision: Poster
Title: Continuous Doubly Constrained Batch Reinforcement Learning
Authors: Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Pratik Chaudhari, Alexander Smola
Affiliations: Amazon Web Services; Amazon Web Services, University of Pennsylvania
Conference: nips 2021 (main track)
Keywords: batch reinforcement learning;overestimation bias;extrapolation;offline reinforcement learning;batch rl;offline rl
Decision: Poster
Title: Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
Authors: El Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Arsany Guirguis, Lê-Nguyên Hoang, Sébastien Rouault
Affiliations: IC School, EPFL, Lausanne, Switzerland; École Polytechnique, Palaiseau, France
Conference: nips 2021 (main track)
Keywords: Byzantine;collaborative learning;heterogeneous;distributed;decentralized;asynchronous;nonconvex
Decision: Poster
Title: DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning
Authors: Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
Affiliations: KAUST; NKUA; University of Central Florida; Columbia University
Conference: nips 2021 (main track)
Keywords: Federated Learning;Compressed Communication;Sparse Tensors;Bloom Filter
Decision: Poster
Title: OpenML Benchmarking Suites
Authors: Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Frank Hutter, Michel Lang, Rafael G. Mantovani, Jan N. van Rijn, Joaquin Vanschoren
Affiliations: Department of Computer Science, Eindhoven University of Technology, the Netherlands; Department of Statistics, LMU Munich, Germany; Federal Technology University Paraná (UTFPR), Brazil; Department of Computer Science, University of Freiburg, Germany; Department of Statistics, TU Dortmund University, Germany; Leiden Institute of Advanced Computer Science (LIACS), Leiden University, the Netherlands
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Benchmarking;OpenML;Reproducible Research
Decision: Poster
Title: SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
Affiliations: Computer Vision Laboratory, EPFL, Lausanne, Switzerland; Stochastics Group, IZMD, University of Wuppertal, Wuppertal, Germany; Autonomous Systems Lab, ETH, Zürich, Switzerland
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: anomaly detection;anomaly segmentation;semantic segmentation;autonomous driving
Decision: Poster
Title: SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Authors: Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo
Affiliations: The University of Hong Kong; NVIDIA; NVIDIA, Caltech; Nanjing University
Conference: nips 2021 (main track)
Keywords: Semantic Segmentation;Transformers
Decision: Poster
Title: Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
Authors: Tianyi Chen, Yuejiao Sun, Wotao Yin
Affiliations: Rensselaer Polytechnic Institute; UCLA
Conference: nips 2021 (main track)
Keywords: Stochastic bilevel optimization;min-max optimization;compositional optimization;convergence analysis
Decision: Spotlight
Title: Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Authors: Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, Steven Chu Hong Hoi
Affiliations: Salesforce Research
Conference: nips 2021 (main track)
Keywords: vision and language pre-training;representation learning;image-text retrieval;visual question answering;vision-language reasoning
Decision: Spotlight
Title: Mastering Atari Games with Limited Data
Authors: Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
Affiliations: Shanghai Qi Zhi Institute; UC Berkeley; Tsinghua University
Conference: nips 2021 (main track)
Keywords: reinforcement learning;MCTS;sample-efficient
Decision: Poster
Title: Knowledge-inspired 3D Scene Graph Prediction in Point Cloud
Authors: Shoulong Zhang, shuai li, Aimin Hao, Hong Qin
Affiliations: Stony Brook University (SUNY); Beihang University, Peng Cheng Laboratory; Beihang University
Conference: nips 2021 (main track)
Keywords: 3D Scene Graph;Knowledge Embedding;Deep Learning
Decision: Poster
Title: Revisiting 3D Object Detection From an Egocentric Perspective
Authors: Boyang Deng, Charles R Qi, Mahyar Najibi, Thomas Funkhouser, Yin Zhou, Dragomir Anguelov
Affiliations: Waymo LLC; Google Research
Conference: nips 2021 (main track)
Keywords: 3d object detection;autonomous driving;egocentric;contour
Decision: Poster
Title: Submodular + Concave
Authors: Siddharth Mitra, Moran Feldman, Amin Karbasi
Affiliations: School of Engineering & Applied Science, Yale University, New Haven, CT 06520–8292; Department of Computer Science, University of Haifa, Haifa 3498838, Israel
Conference: nips 2021 (main track)
Keywords: submodular optimization;non-convex optimization;Frank-Wolfe like algorithms;non-convex quadratic programming
Decision: Poster
Title: Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Authors: Stefanos Leonardos, Georgios Piliouras, Kelly Spendlove
Affiliations: Singapore University of Technology and Design; University of Oxford
Conference: nips 2021 (main track)
Keywords: Exploration-Exploitation;Q-learning;Zero-Sum Polymatrix Games;Quantal Response Equilibria;Bounded Rationality
Decision: Spotlight
Title: Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
Authors: Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer Dy
Affiliations: Northeastern University
Conference: nips 2021 (main track)
Keywords: Adversarial Robustness;Hilbert-Schmidt Independence Criterion;Information Bottleneck;Deep Learning
Decision: Poster
Title: Differentiable Unsupervised Feature Selection based on a Gated Laplacian
Authors: Ofir Lindenbaum, Uri Shaham, Erez Peterfreund, Jonathan Svirsky, Nicolas Casey, Yuval Kluger
Affiliations: Independent Researcher; Program in Applied Math, Department of Pathology, Yale University, New Haven, CT 06510, USA; Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel 5290002; Hebrew University; Center for Outcome Research and Evaluation, Yale University, New Haven, CT 06510, USA; University of Pennsylvania
Conference: nips 2021 (main track)
Keywords: Feature Selection;Graph Laplacian;Laplacian Score
Decision: Poster
Title: Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Authors: Hanxun Huang, Yisen Wang, Sarah Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Affiliations: University of California, Los Angeles, USA; School of Computer Science, Fudan University, Shanghai, China; School of Computing and Information Systems, The University of Melbourne, Victoria, Australia; Key Lab. of Machine Perception, School of Artiﬁcial Intelligence, Peking University, Beijing, China
Conference: nips 2021 (main track)
Keywords: Adversarial Attack;Adversarial Defense;Robustness;Neural Network Architecture
Decision: Poster
Title: Differentially Private Federated Bayesian Optimization with Distributed Exploration
Authors: Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: Dept. of Computer Science, National University of Singapore, Republic of Singapore; Dept. of Electrical Engineering and Computer Science, MIT, USA
Conference: nips 2021 (main track)
Keywords: Bayesian Optimization;Federated Learning;Federated Hyperparameter Tuning;Differential Privacy;Distributed Exploration
Decision: Poster
Title: Do Transformers Really Perform Badly for Graph Representation?
Authors: Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
Conference: nips 2021 (main track)
Keywords: Transformer;Graph Representation;OGB-LSC
Decision: Poster
Title: SketchGen: Generating Constrained CAD Sketches
Authors: Wamiq Para, Shariq Bhat, Paul Guerrero, Tom Kelly, Niloy Mitra, Leonidas Guibas, Peter Wonka
Affiliations: University of Leeds; University College London; KAUST; Adobe Research; Stanford University
Conference: nips 2021 (main track)
Keywords: CAD;transformers;generative modelling;layouts
Decision: Poster