hunoutl/paperlists huggingface dataset:
Title: FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Authors: Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li
Affiliations: Security R&D, Accenture Labs, Accenture; Department of Electrical and Computer Engineering, Duke University
Conference: nips 2021 (main track)
Keywords: Federated Learning;Robustness;Byzantine attack
Decision: Poster
Title: Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Authors: Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin
Affiliations: MIT-IBM Watson AI Lab; Rice University
Conference: nips 2021 (main track)
Keywords: model robustness;adversarial training;lottery ticket hypothesis
Decision: Poster
Title: Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Authors: Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet
Affiliations: ESSEC Business School, Singapore; Department of Statistics, University of Oxford, UK
Conference: nips 2021 (main track)
Keywords: Theory;Optimal Transport;Diffusion;Schrodinger Bridge;Score matching
Decision: Spotlight
Title: Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Authors: Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin Riedmiller, Markus Wulfmeier, Daniela Rus
Affiliations: MIT CSAIL; Princeton University; DeepMind; University of Toronto
Conference: nips 2021 (main track)
Keywords: reinforcement learning;optimal control;robotics
Decision: Poster
Title: Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
Authors: Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay
Affiliations: School of Business, Singapore University of Social Sciences, 463 Clementi Road, 599494, Singapore; School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore; Continental-NTU Corporate Lab, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
Conference: nips 2021 (main track)
Keywords: ODE;stable;Ordinary Differential Equation;adversarial attack
Decision: Poster
Title: Fitting summary statistics of neural data with a differentiable spiking network simulator
Authors: Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
Affiliations: Laboratory of Computational Neuroscience, École polytechnique fédérale de Lausanne (EPFL)
Conference: nips 2021 (main track)
Keywords: fitting;spikes;MLE;likelihood;GLM;spiking;recurrent;RNN;RSNN;neural data;surrogate gradients;straight through;Bayesian;prior;statistics;binary networks
Decision: Poster
Title: On the Expressivity of Markov Reward
Authors: David Abel, Will Dabney, Anna Harutyunyan, Mark Ho, Michael Littman, Doina Precup, Satinder Singh
Affiliations: Department of Computer Science, Brown University; DeepMind; Department of Computer Science, Princeton University
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Reward Functions;Reward;Reward Hypothesis;Markov Decision Process
Decision: Oral
Title: A sampling-based circuit for optimal decision making
Authors: Camille Rullán Buxó, Cristina Savin
Affiliations: Center for Neural Science, New York University, New York, NY 10003; Center for Neural Science, Center for Data Science, New York University, New York, NY 10003
Conference: nips 2021 (main track)
Keywords: computational neuroscience;neural sampling;spiking network;optimal decision making
Decision: Spotlight
Title: Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Authors: Qi CHEN, Changjian Shui, Mario Marchand
Affiliations: Department of Computer Science and Software Engineering, Université Laval; Department of Electrical Engineering and Computer Engineering, Université Laval
Conference: nips 2021 (main track)
Keywords: meta-learning;few-shot learning;deep learning
Decision: Spotlight
Title: Implicit SVD for Graph Representation Learning
Authors: Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar, Valentino Crespi, Greg Ver Steeg, Aram Galstyan
Affiliations: USC Information Sciences Institute; Intel Labs
Conference: nips 2021 (main track)
Keywords: SVD;symbolic matrix;fast;graph;GRL;gradient-free;embedding;splitrelu;convex-nonconvex;resource efficient training;semi-supervised node classification
Decision: Poster
Title: PolarStream: Streaming Object Detection and Segmentation with Polar Pillars
Authors: Qi Chen, Sourabh Vora, Oscar Beijbom
Affiliations: Johns Hopkins University, Baltimore, MD 21218; Motional, Santa Monica, CA 90401
Conference: nips 2021 (main track)
Keywords: Streaming Object Detection;3D Object Detection;LiDAR Segmentation;3D Panoptic Segmentation;Polar Grid
Decision: Poster
Title: Variational Inference for Continuous-Time Switching Dynamical Systems
Authors: Lukas Köhs, Bastian Alt, Heinz Koeppl
Affiliations: Department of Electrical Engineering and Information Technology, Technische Universität Darmstadt
Conference: nips 2021 (main track)
Keywords: variational inference;hybrid processes;stochastic processes;continuous time;stochastic differential equations;Markov jump processes
Decision: Spotlight
Title: Characterizing the risk of fairwashing
Authors: Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
Affiliations: Osaka University; Université du Québec à Montréal; École de Technologie Supérieure; RIKEN Center for Advanced Intelligence Project
Conference: nips 2021 (main track)
Keywords: fairwashing;post-hoc explanation;fairness
Decision: Poster
Title: SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Authors: Irina Higgins, Peter Wirnsberger, Andrew Jaegle, Aleksandar Botev
Affiliations: DeepMind, London
Conference: nips 2021 (main track)
Keywords: Hamiltonian;continual dynamics;metric;Hamiltonian Generative Networks
Decision: Poster
Title: Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Authors: Baihe Huang, Kaixuan Huang, Sham Kakade, Jason Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
Affiliations: Harvard University; Princeton University; Peking University; Tsinghua University
Conference: nips 2021 (main track)
Keywords: beyond eluder dimension;neural net function approximation
Decision: Poster
Title: A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
Authors: Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
Affiliations: CS Department, University of Trento, Italy; School of Informatics, University of Edinburgh; CS Department, UCLA
Conference: nips 2021 (main track)
Keywords: probabilistic reasoning;tractable inference;probabilistic circuits;sum-product networks
Decision: Oral
Title: A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
Authors: Kai Yan, Jie Yan, Chuan Luo, Liting Chen, Qingwei Lin, Dongmei Zhang
Affiliations: Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801; Microsoft Research, Beijing, China
Conference: nips 2021 (main track)
Keywords: prediction;optimization;surrogate objective;soft constraint;linear programming;quadratic programming
Decision: Poster
Title: Post-Training Quantization for Vision Transformer
Authors: Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao
Affiliations: Huawei Noah’s Ark Lab; School of Electronic Engineering and Computer Science, Peking University; Peng Cheng Laboratory
Conference: nips 2021 (main track)
Keywords: Post-training;vision transformer;ranking loss of self-attention;mixed-precision
Decision: Poster
Title: Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
Authors: Anonymous
Affiliations: Mila and DIRO, Université de Montréal
Conference: nips 2021 (main track)
Keywords: Smooth Games;Min-max optimization;Unconstrained Stochastic Variational Inequality;Stochastic algorithms;Convergence analysis;Stochastic Gradient Descent-Ascent (SGDA);Stochastic Consensus Optimization
Decision: Poster
Title: Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Authors: Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
Affiliations: School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Confidence Calibration
Decision: Poster
Title: BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market
Authors: Yang Zhang, Bo Tang, Qingyu Yang, Dou An, Hongyin Tang, Chenyang Xi, Xueying LI, Feiyu Xiong
Affiliations: Alibaba Group; Institute of Software, Chinese Academy of Sciences; Faculty of Electronics and Information, Xi’an Jiaotong University
Conference: nips 2021 (main track)
Keywords: Application of E-commerce Market；Coupons Allocation;Constrained Markov Decision Process;Offline Reinforcement Learning;Off-policy Evaluation
Decision: Poster
Title: On the Expected Complexity of Maxout Networks
Authors: Hanna Tseran, Guido Montufar
Affiliations: Department of Mathematics and Department of Statistics, UCLA, Los Angeles, CA 90095, USA; Max Planck Institute for Mathematics in the Sciences, 04103 Leipzig, Germany; Max Planck Institute for Mathematics in the Sciences, 04103 Leipzig, Germany
Conference: nips 2021 (main track)
Keywords: linear regions of neural networks;maxout units;expected complexity;decision boundary;parameter initialisation
Decision: Poster
Title: Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media
Authors: Yiyue Qian, Yiming Zhang, Yanfang (Fa Ye, Chuxu Zhang
Affiliations: Department of Computer and Data Sciences, Case Western Reserve University, USA; Department of Computer and Data Sciences, Case Western Reserve University, USA; Department of Compute Science and Engineering, University of Notre Dame, USA; Department of Computer Science, Brandeis University, USA
Conference: nips 2021 (main track)
Keywords: graph representation learning;few-shot learning;drug trafficker detection
Decision: Poster
Title: Iterative Teaching by Label Synthesis
Authors: Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
Affiliations: MPI for Intelligent Systems, Tübingen; University of Cambridge; Mila, Université de Montréal
Conference: nips 2021 (main track)
Keywords: Iterative Machine Teaching;Reinforcement Learning;Unrolling;Label
Decision: Spotlight
Title: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Authors: Federico López, Beatrice Pozzetti, Steve Trettel, Michael Strube, Anna Wienhard
Affiliations: Stanford University; Heidelberg University; HITS
Conference: nips 2021 (main track)
Keywords: symmetric spaces;spd space;spd manifold;symmetric positive definite matrices;spd;riemannian manifold;rotations;reflections;translations;scaling;gyro vector;gyro calculus;gyro groups;gyrocalculus;tangent space optimization;non euclidean optimization;hyperbolic geometry;hyperbolic space;matrix models;non-euclidean geometry;finsler metrics;finsler distance;finsler geometry;vector valued distance;vector valued distance function;riemannian manifold learning;manifold learning;geometric deep learning;graph embeddings;knowledge graph embeddings;item recommendations;question answering
Decision: Spotlight
Title: Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning
Authors: Vivien Cabannes, Loucas Pillaud-Vivien, Francis Bach, Alessandro Rudi
Affiliations: ENS – INRIA – PSL, Paris, France; EPFL, Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: semi-supervised learning;Laplacian;Laplacian regularization;weakly supervised learning;kernel methods;spectral filtering;partial labelling;diffusion;functional analysis;statistical learning;generalization bounds
Decision: Poster
Title: Asynchronous Decentralized SGD with Quantized and Local Updates
Authors: Giorgi Nadiradze, Amirmojtaba Sabour, Peter Davies, Shigang Li, Dan Alistarh
Affiliations: IST Austria & Neural Magic; University of Surrey; IST Austria; ETH Zurich
Conference: nips 2021 (main track)
Keywords: distributed optimization;quantization;asynchrony;decentralized optimization;non-blocking algorithms
Decision: Poster
Title: Encoding Robustness to Image Style via Adversarial Feature Perturbations
Authors: Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein
Affiliations: New York University, New York, USA; University of Maryland, College Park, USA; Fudan University, Shanghai, China
Conference: nips 2021 (main track)
Keywords: adversarial training;domain generalization;out-of-distribution
Decision: Poster
Title: A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
Authors: Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Abhradeep Guha Thakurta
Affiliations: University of Virginia; University of Wisconsin; Columbia University; Google Research - Brain Team; Princeton; UC Berkeley and NTT Research
Conference: nips 2021 (main track)
Keywords: Poisoning Attacks;Separation Theorem;Data Oblivious
Decision: Poster
Title: Online Facility Location with Multiple Advice
Authors: Matteo Almanza, Flavio Chierichetti, Silvio Lattanzi, Alessandro Panconesi, Giuseppe Re
Affiliations: Dipartimento di Informatica, Sapienza University, Rome, Italy; Google Research, Zurich, Switzerland
Conference: nips 2021 (main track)
Keywords: Clustering;Facility Location;Online Algorithms;Machine-Learned Advice;Online Clustering
Decision: Poster
Title: Discovery of Options via Meta-Learned Subgoals
Authors: Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh
Affiliations: University of Michigan; DeepMind; University of Michigan, DeepMind
Conference: nips 2021 (main track)
Keywords: reinforcement learning;meta-gradients
Decision: Poster
Title: Reverse-Complement Equivariant Networks for DNA Sequences
Authors: Vincent Mallet, Jean-Philippe Vert
Affiliations: Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, CNRS UMR3528, C3BI, USR3756, Mines ParisTech, PSL University, Center for Computational Biology; Google Research, Brain team, Paris
Conference: nips 2021 (main track)
Keywords: Equivariance;neural network;DNA;reverse-complement
Decision: Poster
Title: No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Authors: Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
Affiliations: Institute of Automation, Chinese Academy of Sciences (CAS); Huawei Noah’s Ark Lab; National University of Singapore
Conference: nips 2021 (main track)
Keywords: federated learning
Decision: Poster
Title: Residual2Vec: Debiasing graph embedding with random graphs
Authors: Sadamori Kojaku, Jisung Yoon, Isabel Constantino, Yong-Yeol Ahn
Affiliations: Department of Industrial Management and Engineering, Pohang University of Science and Technology, South Korea; Center for Complex Networks and Systems Research, Luddy School of Informatics, Computing and Engineering, Indiana University, USA; Connection Science, Massachusetts Institute of Technology, USA; Indiana University Network Science Institute, Indiana University, USA
Conference: nips 2021 (main track)
Keywords: Negative Sampling;Debiasing;Graph embedding;Random walks
Decision: Poster
Title: Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Authors: Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, Venkatesh Babu R
Affiliations: Indian Institute of Science, Bangalore; Google Research
Conference: nips 2021 (main track)
Keywords: 3D human pose estimation;knowledge distillation;domain adaptation
Decision: Poster
Title: Periodic Activation Functions Induce Stationarity
Authors: Lassi Meronen, Martin Trapp, Arno Solin
Affiliations: Aalto University, Espoo, Finland; Aalto University / Saab Finland Oy, Espoo, Finland
Conference: nips 2021 (main track)
Keywords: Bayesian deep learning;Gaussian process;uncertainty quantification
Decision: Poster
Title: Efficient Training of Visual Transformers with Small Datasets
Authors: Yahui Liu, Enver Sangineto, Wei Bi, Nicu Sebe, Bruno Lepri, Marco Nadai
Affiliations: Fondazione Bruno Kessler; University of Trento; University of Trento, Fondazione Bruno Kessler; Tencent AI Lab
Conference: nips 2021 (main track)
Keywords: Vision Transformers;Transformers;Computer vision;Self-supervision
Decision: Poster
Title: Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Authors: Fuchao Wei, Chenglong Bao, Yang Liu
Affiliations: Department of Computer Science and Technology, Tsinghua University; Department of Computer Science and Technology, Tsinghua University; Institute for AI Industry Research, Tsinghua University; Yau Mathematical Sciences Center, Tsinghua University; Yanqi Lake Beijing Institute of Mathematical Sciences and Applications
Conference: nips 2021 (main track)
Keywords: Anderson mixing;nonconvex stochastic optimization;neural network
Decision: Poster
Title: Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Authors: Guangyuan SHI, JIAXIN CHEN, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu
Affiliations: Department of Computing, The Hong Kong Polytechnic University
Conference: nips 2021 (main track)
Keywords: incremental few-shot learning;catastrophic forgetting;flat minima
Decision: Spotlight
Title: Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
Authors: Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan Reddy
Affiliations: Department of Computer Science, Virginia Tech, Arlington, VA; Amazon, Palo Alto, CA; Department of Computer Science, Virginia Tech, Arlington, VA; Amazon, Palo Alto, CA
Conference: nips 2021 (main track)
Keywords: gaussian space;probabilistic embeddings;knowledge graphs;query reasoning
Decision: Poster
Title: Topographic VAEs learn Equivariant Capsules
Authors: T. Anderson Keller, Max Welling
Affiliations: UvA-Bosch Delta Lab, University of Amsterdam
Conference: nips 2021 (main track)
Keywords: Topographic Organization;Unsupervised;Equivariance;Variational Inference;Deep Generative Model;Disentanglement
Decision: Poster
Title: Beyond Bandit Feedback in Online Multiclass Classification
Authors: Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi
Affiliations: Dept. of Computer Science, Università degli Studi di Milano, Italy; Dept. of Computer, Control and Management Engineering, Sapienza Università di Roma, Italy; DSRC & Dept. of Computer Science, Università degli Studi di Milano, Italy
Conference: nips 2021 (main track)
Keywords: Online learning;multiclass classification;bandit algorithms;surrogate losses;feedback graphs
Decision: Poster
Title: To The Point: Correspondence-driven monocular 3D category reconstruction
Authors: Filippos Kokkinos, Iasonas Kokkinos
Affiliations: Department of Computer Science, University College London; Department of Computer Science, University College London, Snap Inc.
Conference: nips 2021 (main track)
Keywords: 3D reconstruction;3D meshes;non-rigid;structure from template;structure from motion;learnable optimization
Decision: Poster
Title: Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems
Authors: Sucheol Lee, Donghwan Kim
Affiliations: Department of Mathematical Sciences, KAIST, Daejeon, Republic of Korea
Conference: nips 2021 (main track)
Keywords: Minimax problems;Nonconvex-nonconcave Problems;Extragradient Method;Acceleration
Decision: Poster
Title: Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
Authors: Mikita Dvornik, Isma Hadji, Konstantinos Derpanis, Animesh Garg, Allan Jepson
Affiliations: University of Toronto, Vector Institute; Samsung AI Centre Toronto; Samsung AI Centre Toronto, University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: Sequence Matching;video representation learning;instructional videos;step localization
Decision: Poster
Title: Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
Authors: Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry
Affiliations: Technion - Israel Institute of Technology; Google Research
Conference: nips 2021 (main track)
Keywords: Partial differential equation;Inundation modeling;Physics-informed;Downsampling;Flood modeling
Decision: Poster
Title: Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias
Authors: Kaifeng Lyu, Zhiyuan Li, Runzhe Wang, Sanjeev Arora
Affiliations: Princeton University
Conference: nips 2021 (main track)
Keywords: margin maximization;gradient flow;gradient descent;implicit bias;linearly separable;two-layer neural networks
Decision: Poster
Title: IQ-Learn: Inverse soft-Q Learning for Imitation
Authors: Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon
Affiliations: Stanford University
Conference: nips 2021 (main track)
Keywords: reinforcement learning;imitation learning;inverse reinforcement learning;statistical learning;energy-based models
Decision: Spotlight
Title: Directed Spectrum Measures Improve Latent Network Models Of Neural Populations
Authors: Neil Gallagher, Kafui Dzirasa, David Carlson
Affiliations: Howard Hughes Medical Institute, Department of Psychiatry and Behavioral Sciences, Department of Neurobiology, Duke University, Durham, NC 27710; Department of Neurobiology, Duke University, Durham, NC 27708; Department of Biostatistics and Bioinformatics, Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708
Conference: nips 2021 (main track)
Keywords: functional brain networks;linear factor models;directed connectivity;directed spectrum
Decision: Poster
Title: Posterior Meta-Replay for Continual Learning
Authors: Christian Henning, Maria Cervera, Francesco D'Angelo, Johannes von Oswald, Regina Traber, Benjamin Ehret, Seijin Kobayashi, Benjamin F. Grewe, João Sacramento
Affiliations: Institute of Neuroinformatics, University of Zürich and ETH Zürich, Zürich, Switzerland
Conference: nips 2021 (main track)
Keywords: Continual Learning;Uncertainty Estimation;Bayesian Neural Networks;Task Inference;Hypernetworks
Decision: Poster
Title: Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Affiliations: Afﬁliation
Conference: nips 2021 (main track)
Keywords: Contrastive learning;variational autoencoders;counterfactual inference;data integration;fairness;batch effect correction;scRNA-seq;RNA-seq;genomics;omics;transcriptomics;invariant representations;TCGA;CCLE;single-cell
Decision: Reject
Title: Dual-stream Network for Visual Recognition
Authors: Mingyuan Mao, peng gao, Renrui Zhang, Honghui Zheng, Teli Ma, Yan Peng, Errui Ding, Baochang Zhang, Shumin Han
Affiliations: Shanghai AI Laboratory, China; Department of Computer Vision Technology (VIS), Baidu Inc; Beihang University, Beijing, China
Conference: nips 2021 (main track)
Keywords: Computer vision;dual-stream;transformer;convolution
Decision: Poster
Title: Maximum Likelihood Training of Score-Based Diffusion Models
Authors: Yang Song, Conor Durkan, Iain Murray, Stefano Ermon
Affiliations: School of Informatics, University of Edinburgh; Computer Science Department, Stanford University
Conference: nips 2021 (main track)
Keywords: generative models;density estimation;score matching;score-based generative models;diffusion models;stochastic differential equations;normalizing flows;neural ODEs;likelihood;continuous normalizing flows
Decision: Spotlight
Title: Making the most of your day: online learning for optimal allocation of time
Authors: Etienne Boursier, Tristan Garrec, Vianney Perchet, Marco Scarsini
Affiliations: CREST, ENSAE Paris, France; Criteo AI Lab, Paris, France; Department of Economics and Finance, LUISS, Rome; Centre Borelli, ENS Paris-Saclay, France; Centre Borelli, ENS Paris-Saclay, France; EDF Lab, Palaiseau, France
Conference: nips 2021 (main track)
Keywords: One-armed bandits;Contextual bandits;Time allocation
Decision: Poster