hunoutl/paperlists huggingface dataset:
Title: A Geometric Perspective on Variational Autoencoders
Authors: Clément Chadebec, Stephanie Allassonniere
Affiliations: Université Paris Cité, INRIA, Inserm, SU, Centre de Recherche des Cordeliers
Conference: nips 2022 (main track)
Keywords: Variational autoencoders;latent space modeling;Riemannian geometry
Decision: Poster
Title: Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation
Authors: Ziwei Xu, Yogesh Rawat, Yongkang Wong, Mohan Kankanhalli, Mubarak Shah
Affiliations: Center for Research in Computer Vision, University of Central Florida; School of Computing, National University of Singapore
Conference: nips 2022 (main track)
Keywords: Temporal action segmentation;linear temporal logic;neurosymbolic methods
Decision: Poster
Title: The price of unfairness in linear bandits with biased feedback
Authors: Solenne Gaucher, Alexandra Carpentier, Christophe Giraud
Affiliations: Institut für Mathematik, Universität Potsdam, Potsdam, Germany; Département de Mathématiques d’Orsay, Université Paris-Saclay, Orsay, France
Conference: nips 2022 (main track)
Keywords: Linear bandits;fairness;partial monitoring;optimal design
Decision: Poster
Title: Conformal Prediction with Temporal Quantile Adjustments
Authors: Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Affiliations: Massachusetts Institute of Technology; Department of Computer Science, University of Illinois at Urbana-Champaign; Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign
Conference: nips 2022 (main track)
Keywords: conformal prediction;time series forecasting;cross-sectional data;time series regression;prediction interval;uncertainty quantification
Decision: Poster
Title: Physics-Informed Implicit Representations of Equilibrium Network Flows
Authors: Kevin D. Smith, Francesco Seccamonte, Ananthram Swami, Francesco Bullo
Affiliations: Center for Control, Dynamical Systems, and Computation, University of California, Santa Barbara, CA 93106 USA; U.S. Army Research Laboratory, Adelphi, MD 20783 USA
Conference: nips 2022 (main track)
Keywords: network flow estimation;implicit neural networks;contraction theory
Decision: Poster
Title: A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
Authors: Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C Holmes, Arnaud Doucet, Matthew Willetts
Affiliations: University of Oxford, Health Data Research UK, The Alan Turing Institute; University of Birmingham, The Alan Turing Institute; The Alan Turing Institute; University of Oxford, The Alan Turing Institute
Conference: nips 2022 (main track)
Keywords: U-Net;multi-resolution analysis;hierarchical variational autoencoders
Decision: Highlighted
Title: FourierFormer: Transformer Meets Generalized Fourier Integral Theorem
Authors: Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley Osher, Nhat Ho
Affiliations: Department of Statistics and Data Sciences, University of Texas at Austin; Department of ECE, Rice University; Department of Mathematics, University of California, Los Angeles
Conference: nips 2022 (main track)
Keywords: transformers;fourier integral;nonparametric kernel regression
Decision: Poster
Title: On the Limitations of Stochastic Pre-processing Defenses
Authors: Yue Gao, I Shumailov, Kassem Fawaz, Nicolas Papernot
Affiliations: University of Wisconsin–Madison; University of Toronto & Vector Institute; University of Cambridge & Vector Institute
Conference: nips 2022 (main track)
Keywords: adversarial examples;randomized defenses;preprocessing defenses;input transformation;limitations
Decision: Poster
Title: A permutation-free kernel two-sample test
Authors: Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
Affiliations: Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA 15213; Department of Statistics and Data Science, Machine Learning Department, Carnegie Mellon University; Department of Statistics and Data Science, Department of Applied Statistics, Yonsei University
Conference: nips 2022 (main track)
Keywords: two-sample testing;kernel-mmd;permutation-free tests;U-statistics
Decision: Highlighted
Title: EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
Authors: Laurent Condat, Kai Yi, Peter Richtarik
Affiliations: King Abdullah University of Science and Technology (KAUST)
Conference: nips 2022 (main track)
Keywords: distributed optimization;federated learning;communication;compression;randomized algorithm;variance reduction;error feedback
Decision: Poster
Title: Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
Authors: Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun YU, Bo Hu, Zang Li, Yu Xu, Xiaohu Qie
Affiliations: Westlake University; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; University of Science and Technology of China; Sun Yat-sen University; Tencent
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Recommendation;Large-scale;Multipurpose;Dataset;Benchmark
Decision: Poster
Title: xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery
Authors: Fernando Paolo, Tsu-ting Tim Lin, Ritwik Gupta, Bryce Goodman, Nirav Patel, Daniel Kuster, David Kroodsma, Jared Dunnmon
Affiliations: Global Fishing Watch; Cambrio; Defense Innovation Unit
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: dataset;synthetic aperture radar;remote sensing;dark vessel;object detection;illegal fishing;social good
Decision: Poster
Title: Better Uncertainty Calibration via Proper Scores for Classification and Beyond
Authors: Sebastian Gruber, Florian Buettner
Affiliations: German Cancer Research Center (DKFZ), Germany; German Cancer Consortium (DKTK), Frankfurt, Germany; Frankfurt Cancer Institute, Germany; Goethe University Frankfurt, Germany; German Cancer Research Center (DKFZ), Germany; German Cancer Consortium (DKTK), Frankfurt, Germany; Goethe University Frankfurt, Germany
Conference: nips 2022 (main track)
Keywords: Calibration;Predictive Uncertainty;Classification;Regression
Decision: Poster
Title: An $\alpha$-regret analysis of Adversarial Bilateral Trade
Authors: Yossi Azar, Amos Fiat, Federico Fusco
Affiliations: Department of Computer Science, Tel Aviv University, Israel; Department of Computer, Control and Management Engineering, Sapienza Università di Roma, Italy
Conference: nips 2022 (main track)
Keywords: online learning;bilateral trade;pricing;partial feedback
Decision: Poster
Title: Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
Authors: Masatoshi Uehara, Ayush Sekhari, Jason Lee, Nathan Kallus, Wen Sun
Affiliations: Cornell University; MIT; Princeton University
Conference: nips 2022 (main track)
Keywords: Reinforcement learning theory;Provably efficient RL;POMDPs;PAC RL
Decision: Poster
Title: Flare7K: A Phenomenological Nighttime Flare Removal Dataset
Authors: Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Chen Change Loy
Affiliations: S-Lab, Nanyang Technological University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: flare removal;glare;image restoration;nighttime driving;computational photography
Decision: Poster
Title: Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Authors: Lijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang
Affiliations: JD AI Research, Beijing, China; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; Peng Cheng Laboratory, Shenzhen 518055, China; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; Department of Computer Science and Engineering, Texas A&M University, College Station, USA
Conference: nips 2022 (main track)
Keywords: Smoothed Online Convex Optimization;Adaptive regret with switching cost;Dynamic regret with switching cost;Discounted-Normal-Predictor
Decision: Poster
Title: DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes
Authors: Jia-Wei Liu, Yan-Pei Cao, Weijia Mao, Wenqiao Zhang, David Junhao Zhang, Jussi Keppo, Ying Shan, Xiaohu Qie, Mike Zheng Shou
Affiliations: Show Lab, National University of Singapore; Business School, National University of Singapore; Tencent PCG; ARC Lab; National University of Singapore
Conference: nips 2022 (main track)
Keywords: dynamic radiance field;volumetric representation;dynamic novel view synthesis.
Decision: Poster
Title: Off-Policy Evaluation for Action-Dependent Non-stationary Environments
Authors: Yash Chandak, Shiv Shankar, Nathaniel Bastian, Bruno da Silva, Emma Brunskill, Philip Thomas
Affiliations: Stanford University; United States Military Academy; University of Massachusetts
Conference: nips 2022 (main track)
Keywords: non-stationarity;off-policy;reinforcement learning;counterfactual
Decision: Poster
Title: Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
Authors: Xiang Huang, Zhanhong Ye, Hongsheng Liu, Shi Ji, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian CHU, Fan Yu, Bei Hua, Lei Chen, Bin Dong
Affiliations: Beijing International Center for Mathematical Research, Peking University; Center for Machine Learning Research, Peking University; Peking University; Huawei Technologies Co. Ltd; University of Science and Technology of China; Hong Kong University of Science and Technology
Conference: nips 2022 (main track)
Keywords: Parametric PDE;Meta-learning;Auto-decoder;Physics-Informed Learning
Decision: Poster
Title: Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
Authors: Andrew Jesson, Alyson Douglas, Peter Manshausen, Maëlys Solal, Nicolai Meinshausen, Philip Stier, Yarin Gal, Uri Shalit
Affiliations: OATML, Department of Computer Science, University of Oxford; Department of Computer Science, University of Oxford; Seminar for Statistics, Department of Mathematics, ETH Zurich; AOPP, Department of Physics, University of Oxford; Machine Learning and Causal Inference in Healthcare Lab, Technion – Israel Institute of Technology
Conference: nips 2022 (main track)
Keywords: causal effect inference;hidden confounding;continuous intervention;climate;uncertainty;dose response;deep learning
Decision: Poster
Title: Efficient and Modular Implicit Differentiation
Authors: Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-Lopez, Fabian Pedregosa, Jean-Philippe Vert
Affiliations: Google Research, now at Owkin; Google Research, now at Apple; Google Research
Conference: nips 2022 (main track)
Keywords: implicit differentiation;bilevel optimization;autodiff;jax
Decision: Poster
Title: High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Authors: Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath
Affiliations: Department of Statistics and Actuarial Science, Department of Applied Mathematics, University of Waterloo, Waterloo, ON; Department of Mathematics, Courant Institute, New York University, New York, NY; Miller Institute, Departments of EECS and Statistics, University of California, Berkeley, Berkely, CA
Conference: nips 2022 (main track)
Keywords: stochastic gradient descent;high-dimensional statistics;online algorithms;PCA;XOR;Gaussian mixture model;two-layer network
Decision: Highlighted
Title: Accelerating Sparse Convolution with Column Vector-Wise Sparsity
Authors: Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao
Affiliations: SKL of Processors, Institute of Computing Technology, CAS; Huawei Noah’s Ark Lab; SKL of Processors, Institute of Computing Technology, CAS; University of Chinese Academy of Sciences
Conference: nips 2022 (main track)
Decision: Poster
Title: ATD: Augmenting CP Tensor Decomposition by Self Supervision
Authors: Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M Westover, Edgar Solomonik, Jimeng Sun
Affiliations: Relativity; University of Illinois Urbana-Champaign; IQVIA; Massachusetts General Hospital, Harvard Medical School
Conference: nips 2022 (main track)
Keywords: Tensor Decomposition;Self-supervised Learning;Non-convex Optimization
Decision: Poster
Title: Association Graph Learning for Multi-Task Classification with Category Shifts
Authors: Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring
Affiliations: AIM Lab, University of Amsterdam, Netherlands; AIM Lab, University of Amsterdam, Netherlands; Inception Institute of Artificial Intelligence, Abu Dhabi, UAE
Conference: nips 2022 (main track)
Keywords: multi-task learning;category shifts;association graph
Decision: Poster
Title: Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
Authors: Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
Affiliations: Zhejiang University & AZFT Joint Lab for Knowledge Engine, China; Alibaba Group, China
Conference: nips 2022 (main track)
Keywords: language model;retrieval;prompt-tuning;memorization
Decision: Poster
Title: PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
Authors: Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng
Affiliations: NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences; Shanghai AI Laboratory; School of Artificial Intelligence, University of Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: Knowledge Distillation;Object Detection
Decision: Poster
Title: BILCO: An Efficient Algorithm for Joint Alignment of Time Series
Authors: Xuelong Mi, Mengfan Wang, Alex Chen, Jing-Xuan Lim, Yizhi Wang, Misha B Ahrens, Guoqiang Yu
Affiliations: Howard Hughes Medical Institute, Janelia Research Campus; Dept. of Electrical and Computer Engineering, Virginia Tech
Conference: nips 2022 (main track)
Keywords: Joint alignment;graphical time warping;bidirectional-pushing strategy;linear component operation;BILCO
Decision: Poster
Title: Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees
Authors: Jue WANG, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang
Affiliations: Stanford University, USA; Carnegie Mellon University; ETH Zürich, Switzerland
Conference: nips 2022 (main track)
Keywords: Communication compression;Quantization;SGD
Decision: Poster
Title: DENSE: Data-Free One-Shot Federated Learning
Authors: Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu
Affiliations: Zhejiang University; Sony AI; Youtu Lab, Tencent
Conference: nips 2022 (main track)
Keywords: federated learning;data-free knowledge distillation;one-shot FL
Decision: Poster
Title: DropCov: A Simple yet Effective Method for Improving Deep Architectures
Authors: Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu
Affiliations: Tianjin University, China; Haihe Laboratory of Information Technology Application Innovation, Tianjin, China; Dalian University of Technology, China; Tianjin University, China; Haihe Laboratory of Information Technology Application Innovation, Tianjin, China; Engineering Research Center of City intelligence and Digital Governance, Ministry of Education of the People’s Republic of China; Tianjin University, China
Conference: nips 2022 (main track)
Keywords: Global covariance pooling;post-normalization;adaptive channel dropout;deep convolutional neural networks;vision transformers
Decision: Poster
Title: Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks
Authors: Mansheej Paul, Brett Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite
Affiliations: Stanford, Meta AI; Stanford; Google Brain, Mila; McGill; MIT, MosaicML, Harvard
Conference: nips 2022 (main track)
Keywords: data pruning;linear mode connectivity;iterative magnitude pruning;loss landscape geometry;lottery ticket hypothesis;sparsity
Decision: Poster
Title: Faster and Scalable Algorithms for Densest Subgraph and Decomposition
Authors: Elfarouk Harb, Kent Quanrud, Chandra Chekuri
Affiliations: University of Illinois at Urbana-Champaign; Purdue University
Conference: nips 2022 (main track)
Keywords: densest subgraph;densest subgraph decomposition;scalable algorithms;supermodular;densest supermodular set;proximal gradient method
Decision: Poster
Title: Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
Authors: Fan Wang, Adams Wai Kin Kong
Affiliations: School of Computer Science and Engineering, Nanyang Technological University; School of Computer Science and Engineering, Nanyang Technological University; Rapid-Rich Object Search (ROSE) Lab, IGP, Nanyang Technological University
Conference: nips 2022 (main track)
Decision: Poster
Title: Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator
Authors: Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen, Dit-Yan Yeung
Affiliations: CUHK; Ant Group; HKUST
Conference: nips 2022 (main track)
Keywords: 3D-aware image synthesis;generative adversarial network
Decision: Poster
Title: Toward Understanding Privileged Features Distillation in Learning-to-Rank
Authors: Shuo Yang, Sujay Sanghavi, Holakou Rahmanian, Jan Bakus, Vishwanathan S. V. N.
Affiliations: Amazon; UT Austin
Conference: nips 2022 (main track)
Keywords: Privileged Feature;Learning-to-rank;Distillation
Decision: Poster
Title: Adaptive Interest for Emphatic Reinforcement Learning
Authors: Martin Klissarov, Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Taesup Kim, Alexander Smola
Affiliations: Amazon Web Services; Seoul National University; Mila, McGill University; Cleanlab
Conference: nips 2022 (main track)
Keywords: emphatic temporal difference;interest function;meta gradients;meta learning
Decision: Poster
Title: Truncated proposals for scalable and hassle-free simulation-based inference
Authors: Michael Deistler, Pedro Goncalves, Jakob H Macke
Affiliations: University of Tübingen, Max Planck Institute for Intelligent Systems; University of Tübingen
Conference: nips 2022 (main track)
Keywords: likelihood-free inference;simulation-based inference;Bayesian inference;neural density estimation
Decision: Poster
Title: Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel
Authors: Weixuan Liang, Xinwang Liu, Yong Liu, sihang zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu
Affiliations: College of Intelligence Science and Technology, NUDT, Changsha, China; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China; School of Computer, National University of Defense Technology (NUDT), Changsha, China
Conference: nips 2022 (main track)
Keywords: Kernel method;Clustering;Algorithmic stability
Decision: Poster
Title: S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning
Authors: Daesol Cho, Dongseok Shim, H. Jin Kim
Affiliations: Seoul National University, Artificial Intelligence Institute of Seoul National University (AIIS); Seoul National University, Interdisciplinary Program in AI; Seoul National University, Automation and Systems Research Institute (ASRI)
Conference: nips 2022 (main track)
Keywords: Offline Reinforcement Learning;Generative Model;Data Augmentation
Decision: Poster
Title: Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs
Authors: Gellért Weisz, András György, Tadashi Kozuno, Csaba Szepesvari
Affiliations: DeepMind, London, UK; University of Alberta, Edmonton, Canada; Omron Sinic X, Tokyo, Japan; DeepMind, London, UK; University of Alberta, Edmonton, Canada; DeepMind, London, UK; University College London, London, UK
Conference: nips 2022 (main track)
Keywords: Approximate Policy Iteration;Reinforcement Learning;Planning;Markov Decision Processes;Linear Function Approximation;Sample Complexity
Decision: Poster
Title: MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
Authors: Chuanxia Zheng, Tung-Long Vuong, Jianfei Cai, Dinh Phung
Affiliations: VinAI; Monash University
Conference: nips 2022 (main track)
Keywords: Vector Quantization;Generative Models;Transformer Generation
Decision: Poster
Title: Beyond black box densities: Parameter learning for the deviated components
Authors: Dat Do, Nhat Ho, XuanLong Nguyen
Affiliations: Department of Statistics, University of Michigan at Ann Arbor, Ann Arbor, MI 48109; Department of Statistics and Data Sciences, University of Texas at Austin, Austin, TX 78712
Conference: nips 2022 (main track)
Keywords: Mixture Model;Wasserstein Metric;Statistical Learning Theory
Decision: Poster
Title: On the convergence of policy gradient methods to Nash equilibria in general stochastic games
Authors: Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Affiliations: University of Wisconsin-Madison; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France, Criteo AI Lab; University of California, Berkeley; Stanford University
Conference: nips 2022 (main track)
Keywords: Policy gradient methods;stochastic games;Nash equilibria;convergence
Decision: Poster
Title: USB: A Unified Semi-supervised Learning Benchmark for Classification
Authors: Yidong Wang, Hao Chen, Yue Fan, Wang SUN, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
Affiliations: Microsoft Research Asia; Westlake University; Tokyo Institute of Technology; Nara Institute of Science and Technology; Max-Planck-Institut für Informatik; Nanjing University; Carnegie Mellon University; Peking University; Tsinghua University; Microsoft STCA
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Semi-supervised Learning
Decision: Poster
Title: PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
Authors: Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Ma Chang, Runcheng Liu, Jian Tang
Affiliations: Mila - Québec AI Institute, Université de Montréal, HEC Montréal, CIFAR AI Research Chair; Peking University; Shanghai Jiao Tong University; Tsinghua University; Mila - Québec AI Institute, Université de Montréal
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Protein Modeling Benchmark;Protein Sequence Understanding;Multi-Task Learning
Decision: Poster
Title: Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game
Authors: Guiliang Liu, Yudong Luo, Oliver Schulte, Pascal Poupart
Affiliations: University of Waterloo, The Chinese University of Hong Kong, Shenzhen, Vector Institute; Simon Fraser University; University of Waterloo, Vector Institute
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Uncertainty Estimation;Sports Analytic;Agent Evaluation
Decision: Poster
Title: Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
Authors: Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié
Affiliations: Inria Paris - Département d’informatique de l’ENS, PSL Research University, Paris, France; Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, F-59000 Lille
Conference: nips 2022 (main track)
Keywords: differential privacy;decentralized optimization;gossip protocols;privacy amplification
Decision: Poster
Title: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields
Authors: Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li
Affiliations: CUHK MMLab; Oxford VGG; CUHK MMLab, Centre for Perceptual and Interactive Intelligence Limited; SenseTime Research
Conference: nips 2022 (main track)
Keywords: controllable;neural radiance field;face synthesis
Decision: Poster
Title: Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
Authors: Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi
Affiliations: The University of Hong Kong; The Chinese University of Hong Kong; Baidu
Conference: nips 2022 (main track)
Keywords: efficient sparse convolution;3D detection;spatial pruning
Decision: Poster