hunoutl/paperlists huggingface dataset:
Title: Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
Authors: Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong
Affiliations: Baidu Talent Intelligence Center, Baidu Inc.; Artificial Intelligence Thrust, The Hong Kong University of Science and Technology; School of Computer Science and Technology, University of Science and Technology of China
Conference: nips 2021 (main track)
Keywords: Topic Model;Neural Variation Inference;Graph Neural Network
Decision: Poster
Title: Collapsed Variational Bounds for Bayesian Neural Networks
Authors: Marcin Tomczak, Siddharth Swaroop, Andrew Foong, Richard Turner
Affiliations: University of Cambridge, Cambridge, UK
Conference: nips 2021 (main track)
Keywords: Bayesian Neural Networks;BNNs;Bayesian Deep Learning;variational inference;VI;underfitting;collapsed ELBO;overpruning
Decision: Poster
Title: Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Authors: Koby Bibas, Meir Feder, Tal Hassner
Affiliations: Facebook AI; School of Electrical Engineering, Tel Aviv University
Conference: nips 2021 (main track)
Keywords: out-of-distribution;normalized maximum likelihood;information theory;deep neural network;regret;generalization error
Decision: Poster
Title: Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Authors: Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong Liu
Affiliations: RIKEN Center for Advanced Intelligence Project; APRIL Lab, Zhejiang University; Youtu Lab, Tencent
Conference: nips 2021 (main track)
Keywords: Evolutionary Algorithm;Vision Transformer;Spatial-Filling Curve;ImageNet Classification
Decision: Poster
Title: Credal Self-Supervised Learning
Authors: Julian Lienen, Eyke Hüllermeier
Affiliations: Institute of Informatics, University of Munich (LMU), Munich 80538, Germany; Department of Computer Science, Paderborn University, Paderborn 33098, Germany
Conference: nips 2021 (main track)
Keywords: semi-supervised learning;self-training;superset learning;credal sets;label relaxation;pseudo-labeling
Decision: Poster
Title: $\texttt{LeadCache}$: Regret-Optimal Caching in Networks
Authors: Debjit Paria, Abhishek Sinha
Affiliations: Department of Computer Science, Chennai Mathematical Institute, Chennai 603103, India; Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600036, India
Conference: nips 2021 (main track)
Keywords: Online learning;Network Caching;Regret Lower Bounds
Decision: Poster
Title: Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
Authors: Francois Bachoc, Tom Cesari, Sébastien Gerchinovitz
Affiliations: Institut de Mathématiques de Toulouse & University Paul Sabatier; Toulouse School of Economics; IRT Saint Exupéry & Institut de Mathématiques de Toulouse
Conference: nips 2021 (main track)
Keywords: Lipschitz optimization;packing bound;function-dependent bound;Piyavskii-Shubert algorithm
Decision: Poster
Title: Large-Scale Unsupervised Object Discovery
Authors: Van Huy Vo, Elena Sizikova, Cordelia Schmid, Patrick Pérez, Jean Ponce
Affiliations: Center for Data Science, New York University; INRIA, Département d’informatique de l’ENS, ENS, CNRS, PSL University, Paris, France; Center for Data Science, New York University; Valeo.ai; INRIA, Département d’informatique de l’ENS, ENS, CNRS, PSL University, Paris, France
Conference: nips 2021 (main track)
Keywords: large-scale;unsupervised;object discovery;ranking;distributed;parallel computation;graph centrality
Decision: Poster
Title: Explicable Reward Design for Reinforcement Learning Agents
Authors: Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla
Affiliations: Max Planck Institute for Software Systems (MPI-SWS), Saarbrucken, Germany; The Alan Turing Institute, London, UK
Conference: nips 2021 (main track)
Keywords: reinforcement learning;reward design;explicable reward functions
Decision: Poster
Title: Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Authors: Hongjian Wang, Mert Gurbuzbalaban, Lingjiong Zhu, Umut Simsekli, Murat Erdogdu
Affiliations: INRIA & ENS – PSL Research University; Florida State University; Rutgers University; Carnegie Mellon University; University of Toronto & Vector Institute
Conference: nips 2021 (main track)
Keywords: SGD;heavy tailed noise;infinite variance;Polyak-Ruppert averaging
Decision: Poster
Title: Computer-Aided Design as Language
Authors: Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, Stefano Saliceti
Affiliations: Onshape; DeepMind
Conference: nips 2021 (main track)
Keywords: generative models;structured objects;computer-aided design;transformers;pointers;program synthesis
Decision: Poster
Title: On Effective Scheduling of Model-based Reinforcement Learning
Authors: Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
Affiliations: Huawei Noah’s Ark Lab; Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: deep reinforcement learning;model-based reinforcement learning;automatic hyperparameter scheduling
Decision: Poster
Title: Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
Authors: Tanner Fiez, Lillian Ratliff, Eric Mazumdar, Evan Faulkner, Adhyyan Narang
Affiliations: University of Washington; California Institute of Technology
Conference: nips 2021 (main track)
Keywords: zero-sum games;nonconvex-strongly-concave;nonconvex-PL;game theory;dynamical systems;stability
Decision: Poster
Title: Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes
Authors: Brian Brubach, Nathaniel Grammel, Will Ma, Aravind Srinivasan
Affiliations: Graduate School of Business, Columbia University, New York, NY 10027; Department of Computer Science, University of Maryland, College Park, MD 20742; Computer Science Department, Wellesley College, Wellesley, MA 02481
Conference: nips 2021 (main track)
Keywords: Stochastic Optimization;Combinatorial Optimization;Discrete Optimization;Approximation Algorithms;Matching;Stochastic Matching;Prophet Inequality;Prophet Secretary;Contention Resolution
Decision: Poster
Title: Kernel Functional Optimisation
Authors: Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
Affiliations: Applied Artiﬁcial Intelligence Institute (A2I2), Deakin University, Waurn Ponds, Geelong, Australia
Conference: nips 2021 (main track)
Keywords: Non-parametric kernels;Kernel learning;Bayesian functional optimisation;Hyperkernels;Kernel machines;Gaussian Process;Hyperparameter tuning;Machine learning;Support Vector Machines;Reproducing Kernel Hilbert Spaces;Black-box optimisation;sample-efficient optimisation;Bayesian methods
Decision: Poster
Title: BooVAE: Boosting Approach for Continual Learning of VAE
Authors: Evgenii Egorov, Anna Kuzina, Evgeny Burnaev
Affiliations: Vrije Universiteit; Skoltech, AIRI; University of Amsterdam
Conference: nips 2021 (main track)
Keywords: Continual Learning;Variational Autoencoder;VAE;Catastrophic Forgetting;Entropy regularisation;Boosting;Functional regularisation
Decision: Poster
Title: Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
Authors: Qiujiang Jin, Aryan Mokhtari
Affiliations: ECE Department, The University of Texas at Austin, Austin, TX 78712, USA
Conference: nips 2021 (main track)
Keywords: Quasi-Newton methods;adaptive sample size methods;second-order methods;large-scale optimization.
Decision: Poster
Title: Learning the optimal Tikhonov regularizer for inverse problems
Authors: Giovanni Alberti, Ernesto De Vito, Matti Lassas, Luca Ratti, Matteo Santacesaria
Affiliations: MaLGa Center, Department of Mathematics, University of Genoa, Italy; Department of Mathematics and Statistics, University of Helsinki, Finland
Conference: nips 2021 (main track)
Keywords: inverse problems;regularization;MMSE;optimal estimation;supervised and unsupervised learning;generalization estimates;Hilbert spaces
Decision: Poster
Title: Boost Neural Networks by Checkpoints
Authors: Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, xian wei, Hairong Lv
Affiliations: Department of Automation, Tsinghua University; Fuzhou Institute of Data Technology; Department of Statistics, Stanford University; Department of Automation, Tsinghua University; Software Engineering Institute, East China Normal University
Conference: nips 2021 (main track)
Keywords: Ensembles;Boosting;Deep Neural Networks
Decision: Poster
Title: Morié Attack (MA): A New Potential Risk of Screen Photos
Authors: Dantong Niu, Ruohao Guo, Yisen Wang
Affiliations: College of Information and Electrical Engineering, China Agricultural University; Department of EECS, University of California, Berkeley; Key Lab. of Machine Perception, School of Artiﬁcial Intelligence, Peking University; Institute for Artiﬁcial Intelligence, Peking University
Conference: nips 2021 (main track)
Keywords: Moiré effect;Adversarial attack
Decision: Poster
Title: Active 3D Shape Reconstruction from Vision and Touch
Authors: Edward Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero Soriano, Michal Drozdzal
Affiliations: McGill University; Facebook AI Research, University of California, Berkeley; Facebook AI Research, McGill University; Facebook AI Research
Conference: nips 2021 (main track)
Keywords: active touch;active sensing;3D reconstruction;3D perception;robotics
Decision: Poster
Title: Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
Authors: Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime Carbonell, Kun Zhang
Affiliations: School of Computer Science, Guangdong University of Technology; School of Mathematics and Statistics, University of Melbourne; Carnegie Mellon University; Carnegie Mellon University, Broad Institute of MIT and Harvard
Conference: nips 2021 (main track)
Keywords: Domain adaptation;transfer learning;deep learning;adversarial training;autencoders
Decision: Poster
Title: SWAD: Domain Generalization by Seeking Flat Minima
Authors: Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Han-Cheol Cho, Seunghyun Park, Yunsung Lee, Sungrae Park
Affiliations: Korea University; Kakao Brain; NAVER AI Lab; Chung-Ang University; Upstage AI Research; NAVER Clova
Conference: nips 2021 (main track)
Keywords: domain generalization;robustness;data distribution shift;domain shift;flatness minimization;sharpness minimization;generalization
Decision: Poster
Title: Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
Authors: Jiayu Chen, Yuanxin Zhang, Yuanfan Xu, Huimin Ma, Huazhong Yang, Jiaming Song, Yu Wang, Yi Wu
Affiliations: Stanford University; Shanghai Qi Zhi Institute; University of Science and Technology Beijing; Tsinghua University
Conference: nips 2021 (main track)
Keywords: multi-agent reinforcement learning;curriculum learning;variational inference
Decision: Poster
Title: Universal Semi-Supervised Learning
Authors: Zhuo Huang, Chao Xue, Bo Han, Jian Yang, Chen Gong
Affiliations: JD Explore Academy; PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, JD Explore Academy; PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology; Department of Computer Science, Hong Kong Baptist University
Conference: nips 2021 (main track)
Keywords: Semi-Supervised Learning
Decision: Poster
Title: Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
Authors: Alan Malek, Silvia Chiappa
Affiliations: DeepMind London
Conference: nips 2021 (main track)
Keywords: causal identification formulas;frontdoor criterion;adjustment criterion;causal inference;multi armed bandits;best-arm-identification;confidence sequences;double machine learning;causal effect estimator;nuisance parameter
Decision: Poster
Title: Last iterate convergence of SGD for Least-Squares in the Interpolation regime.
Authors: Aditya  Vardhan Varre, Loucas Pillaud-Vivien, Nicolas Flammarion
Affiliations: EPFL
Conference: nips 2021 (main track)
Keywords: Interpolation;Least-Squares;SGD;Last iterate;Non-parametric rates.
Decision: Poster
Title: OctField: Hierarchical Implicit Functions for 3D Modeling
Authors: Jia-Heng Tang, Weikai Chen, jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao
Affiliations: Tencent Games Digital Content Technology Center; Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences
Conference: nips 2021 (main track)
Keywords: Neural implicit function;Octree;3D representation
Decision: Poster
Title: Multi-task Learning of Order-Consistent Causal Graphs
Authors: Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, Le Song
Affiliations: BioMap, MBZUAI; Georgia Institute of Technology; Carnegie Mellon University; Carnegie Mellon University, MBZUAI
Conference: nips 2021 (main track)
Keywords: Causal discovery;DAG estimation;multi-task learning;graphical models
Decision: Poster
Title: The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
Authors: Masahiro Kato, Kenichiro McAlinn, Shota Yasui
Affiliations: Temple University; CyberAgent, Inc.
Conference: nips 2021 (main track)
Keywords: Doubly robust estimator;Double/debiased machine learning;Causal inference;Semiparametric efficiency;Dependent samples;Adaptive experiments
Decision: Poster
Title: Batch Active Learning at Scale
Authors: Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar
Affiliations: Google Research
Conference: nips 2021 (main track)
Keywords: active learning;large scale;batch active learning
Decision: Poster
Title: Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
Authors: Mehrdad Ghadiri, David Arbour, Tung Mai, Cameron Musco, Anup B. Rao
Affiliations: MIT; Adobe Research; UMass Amherst
Conference: nips 2023 (main track)
Keywords: regression adjustment; treatment effect estimation; average treatment effect
Decision: Poster
Title: Complexity Matters: Rethinking the Latent Space for Generative Modeling
Authors: Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
Affiliations: Hong Kong University of Science and Technology (Guangzhou); Huawei Noah’s Ark Lab; National University of Singapore
Conference: nips 2023 (main track)
Keywords: generative model;latent space;distance between distributions;generative adversarial network;vqgan
Decision: Spotlight
Title: Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
Authors: Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras
Affiliations: Engineering Systems and Design (SUTD); Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG 38000 Grenoble, France; UC Berkeley
Conference: nips 2023 (main track)
Keywords: Nash Equilibrium;Games;Gradient;Non-monotone VI;Natural Gradient;Precondition
Decision: Poster
Title: Knowledge Diffusion for Distillation
Authors: Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
Affiliations: University of Science and Technology of China; Peking University; School of Computer Science, Faculty of Engineering, The University of Sydney; SenseTime Research
Conference: nips 2023 (main track)
Keywords: knowledge distillation;diffusion models
Decision: Poster
Title: Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
Authors: George Stein, Jesse Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Ross, Valentin Villecroze, Zhaoyan Liu, Anthony Caterini, Eric Taylor, Gabriel Loaiza-Ganem
Affiliations: Layer 6 AI
Conference: nips 2023 (main track)
Keywords: generative models;generative model evaluation;self-supervised learning;representation learning;metrics
Decision: Poster
Title: On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
Authors: Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
Affiliations: Department of Electrical and Computer Engineering, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University; Department of Electrical and Computer Engineering, Seoul National University
Conference: nips 2023 (main track)
Keywords: Out-of-distribution detection
Decision: Poster
Title: Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Authors: Guillermo Ortiz-Jimenez, Alessandro Favero, Pascal Frossard
Affiliations: EPFL, Lausanne, Switzerland
Conference: nips 2023 (main track)
Keywords: model editing;transfer learning;neural tangent kernel;vision-language pre-training;deep learning science
Decision: Oral
Title: Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk
Authors: David Simchi-Levi, Zeyu Zheng, Feng Zhu
Affiliations: Industrial Engineering & Operations Research, University of California, Berkeley, Berkeley, CA 94720; Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02139
Conference: nips 2023 (main track)
Keywords: multi-armed bandit;worst-case optimality;instance-dependent consistency;light-tailed risk
Decision: Spotlight
Title: Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage
Authors: Yuheng Jia, Fuchao Yang, Yongqiang Dong
Affiliations: Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China; College of Software Engineering, Southeast University Nanjing 210096, China; School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
Conference: nips 2023 (main track)
Keywords: partial label learning;dissimilarity propagation;candidate label shrinkage
Decision: Poster
Title: Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations
Authors: Tsai Hor Chan, Kin Wai Lau, Jiajun Shen, Guosheng Yin, Lequan Yu
Affiliations: Department of Mathematics, Imperial College London; TCL AI Lab, Hong Kong; Department of Statistics and Actuarial Science, The University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Bayesian deep learning;high-dimensional testing;uncertainty estimation;out-of-distribution detection
Decision: Poster
Title: AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Authors: Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, yelong shen, Jian Jiao, Juntao Li, zhongyu wei, Jian Guo, Nan Duan, Weizhu Chen
Affiliations: Microsoft Research Asia; Shenzhen International Graduate School, Tsinghua University; Soochow University; IDEA Research; Fudan University; Microsoft Azure AI; Microsoft
Conference: nips 2023 (main track)
Keywords: text generation;diffusion model;auto-regression;sequential dependency
Decision: Poster
Title: Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric
Authors: Yiming Wang, Ming Yang, Renzhi Dong, Binbin Sun, Furui Liu, Leong Hou U
Affiliations: State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao SAR, China; Zhejiang Lab, Hangzhou, China
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;reward shaping;potential-based exploration;inverse dynamic bisimulation metric
Decision: Poster
Title: RoboHive: A Unified Framework for Robot Learning
Authors: Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran
Affiliations: Meta-AI; U.Washington; CMU; OpenAI; UT Austin; GoogleAI
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Robot Learning
Decision: Poster
Title: Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
Authors: Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar Iyer, Tamer Basar
Affiliations: University of Illinois Urbana-Champaign; IBM Research
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;game theory;multi-agent systems;meta-learning
Decision: Poster
Title: Dynamic Non-monotone Submodular Maximization
Authors: Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh
Affiliations: Department of Computer Science, University of Maryland, College Park, MD, USA; Department of Mathematics and Computer Science, Eindhoven University of Technology, the Netherlands
Conference: nips 2023 (main track)
Keywords: Non-monotone submodular maximization;dynamic algorithm;oracle query;video summarization
Decision: Poster
Title: ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection
Authors: Zhongzhan Huang, Pan Zhou, Pan Zhou, Shuicheng Yan, Liang Lin
Affiliations: 2Sea AI Lab; 1Sun Yat-Sen University, 2Sea AI Lab; 1Sun Yat-Sen University
Conference: nips 2023 (main track)
Keywords: Diffusion Model;Stable Training;Network architectures
Decision: Poster
Title: Gaussian Mixture Solvers for Diffusion Models
Authors: Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan LI
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China; Sea AI Lab, Singapore; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Diffusion models;SDE-based solver;Gaussian mixture;Stroke-based synthesis
Decision: Poster
Title: Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
Authors: Guangchen Lan, Han Wang, James Anderson, Christopher Brinton, Vaneet Aggarwal
Affiliations: Purdue University, West Lafayette, IN 47907, cgb@purdue.edu; Purdue University, West Lafayette, IN 47907, lan44@purdue.edu; Columbia University, New York, NY 10027, hw2786@columbia.edu; Purdue University, West Lafayette, IN 47907, vaneet@purdue.edu; Columbia University, New York, NY 10027, anderson@ee.columbia.edu
Conference: nips 2023 (main track)
Keywords: reinforcement learning;federated learning
Decision: Poster
Title: Pruning vs Quantization: Which is Better?
Authors: Andrey Kuzmin, Markus Nagel, Mart van Baalen, Arash Behboodi, Tijmen Blankevoort
Affiliations: Qualcomm AI Research, Amsterdam, The Netherlands
Conference: nips 2023 (main track)
Keywords: Neural network quantization;neural network pruning;magnitude pruning;post-training quantization;quantization-aware training
Decision: Poster
Title: OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment
Authors: Yiheng Zhu, Yang Zhan, Xuankun Huang, Yuwei Chen, yujie Chen, Jiangwen Wei, Wei Feng, Yinzhi Zhou, Haoyuan Hu, Jieping Ye
Affiliations: Department of Artiﬁcial Intelligence, Cainiao Network; DAMO Academy; Zhejiang University of Technology, Hailiang Group Co., Ltd.
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: order fulfillment;multi-agent reinforcement learning;e-commerce
Decision: Poster
Title: A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging
Authors: Rui Wang, Yanyan Ouyang, Yu Panpan, Wangli Xu
Affiliations: NavInfo, Beijing 100094, China; Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing 100872, China
Conference: nips 2023 (main track)
Keywords: Big data;Data averaging;Order statistic;Sampling method;Sketching method.
Decision: Poster
Title: Improved Frequency Estimation Algorithms with and without Predictions
Authors: Anders Aamand, Justin Chen, Huy Nguyen, Sandeep Silwal, Ali Vakilian
Affiliations: MIT; Northeastern University; TTIC
Conference: nips 2023 (main track)
Keywords: learning-augmented algorithms;algorithms with predictions;data-driven algorithms;sublinear;streaming;frequency estimation;sketching
Decision: Spotlight