hunoutl/paperlists huggingface dataset:
Title: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
Authors: Zhiding Liu, Mingyue Cheng, Zhi Li, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen
Affiliations: Shenzhen International Graduate School, Tsinghua University; The First Affiliated Hospital of University of Science and Technology of China; Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China
Conference: nips 2023 (main track)
Keywords: Time series forecasting;deep learning;normalization
Decision: Poster
Title: Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
Authors: Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith Fan, Kevin Smith
Affiliations: MIT; UC Berkeley; MIT-IBM Watson AI Lab; Stanford; UMass Amherst
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: intuitive physics;visual dynamics learning;physical property inference
Decision: Poster
Title: Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
Authors: Zeyuan Yin, Eric Xing, Zhiqiang Shen
Affiliations: Mohamed bin Zayed University of AI; Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: Dataset Condensation and Distillation;ImageNet Scale
Decision: Spotlight
Title: The Waymo Open Sim Agents Challenge
Authors: Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
Affiliations: Waymo LLC
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: simulation;autonomous driving
Decision: Spotlight
Title: Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
Authors: Xin Yan, Hui Fang, Qiang He
Affiliations: College of Medicine and Biological Information Engineering, Northeastern University, China; RIIS & SIME, Shanghai University of Finance and Economics, China
Conference: nips 2023 (main track)
Keywords: Diffusion Model;Graph Inverse Problems;Source Localization;Information Diffusion
Decision: Poster
Title: Strong and Precise Modulation of Human Percepts via Robustified ANNs
Authors: Guy Gaziv, Michael Lee, James J DiCarlo
Affiliations: McGovern Institute for Brain Research, Dept. of Brain and Cognitive Sciences, Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: Vision;Object Recognition;Human;Primate;Ventral Stream;Adversarial Examples;Behavior Modulation;Behavioral Alignment
Decision: Poster
Title: Computational Guarantees for Doubly Entropic Wasserstein Barycenters
Authors: Tomas Vaskevicius, Lénaïc Chizat
Affiliations: Institute of Mathematics, École Polytechnique Fédérale de Lausanne (EPFL) Station Z, CH-1015 Lausanne, Switzerland
Conference: nips 2023 (main track)
Keywords: Wasserstein barycenters;entropic penalization;optimal transport;Sinkhorn's algorithm
Decision: Poster
Title: GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
Authors: Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos
Affiliations: Meta AI; Carnegie Mellon University; Intel Labs; Adobe Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: instantaneous graph learning model selection;automatic graph learning;meta-learning;node classification;link prediction
Decision: Poster
Title: GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising
Authors: Hyeonsu Kim, Jeheon Woo, SEONGHWAN KIM, Seokhyun Moon, Jun Hyeong Kim, Woo Youn Kim
Affiliations: Department of Chemistry, KAIST, Daejeon, South Korea
Conference: nips 2023 (main track)
Keywords: Mutual information;Easy-to-obtain geometry;Denoising;3D Graph neural network;OC20
Decision: Poster
Title: Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
Authors: Zhuodong Yu, Ling Dai, Shaohang Xu, Siyang Gao, Chin Pang Ho
Affiliations: School of Data Science, City University of Hong Kong, Hong Kong; Department of Systems Engineering, City University of Hong Kong, Hong Kong
Conference: nips 2023 (main track)
Keywords: Markov decision processes;distributionally robust optimization
Decision: Poster
Title: Global Optimality in Bivariate Gradient-based DAG Learning
Authors: Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
Affiliations: Booth School of Business, University of Chicago, Chicago, IL 60637; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2023 (main track)
Keywords: global optimization;nonconvex optimization;graphical models;directed acyclic graphs;structure learning
Decision: Poster
Title: Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
Authors: Zhong Yi Wan, Ricardo Baptista, Anudhyan Boral, Yi-Fan Chen, John Anderson, Fei Sha, Leonardo Zepeda-Núñez
Affiliations: California Institute of Technology, Pasadena, CA 91106, USA; Google Research, Mountain View, CA 94043, USA
Conference: nips 2023 (main track)
Keywords: optimal transport;probabilistic diffusion models;statistical downscaling
Decision: Spotlight
Title: SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Authors: Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob Foerster, Shimon Whiteson
Affiliations: University of Oxford; University of Manchester; University College London
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multi-Agent Reinforcement Learning
Decision: Poster
Title: Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
Authors: Rie Johnson, Tong Zhang
Affiliations: RJ Research Consulting, New York, USA; HKUST, Hong Kong (This work was done when the second author was jointly with Google Research)
Conference: nips 2023 (main track)
Keywords: Deep neural network training;Generalization gap;Empirical study
Decision: Poster
Title: Variational Inference with Gaussian Score Matching
Authors: Chirag Modi, Robert Gower, Charles Margossian, Yuling Yao, David Blei, Lawrence Saul
Affiliations: Department of Computer Science, Statistics, Columbia University, New York; Center for Computational Mathematics, Flatiron Institute, New York; Center for Computational Astrophysics, Center for Computational Mathematics, Flatiron Institute, New York
Conference: nips 2023 (main track)
Keywords: Variational Inference;score matching;KL projection;polyak stepsize
Decision: Poster
Title: Uni3DETR: Unified 3D Detection Transformer
Authors: Zhenyu Wang, Ya-Li Li, Xi Chen, Hengshuang Zhao, Shengjin Wang
Affiliations: The University of Hong Kong; Department of Electronic Engineering, Tsinghua University, BNRist
Conference: nips 2023 (main track)
Keywords: 3d object detection;unified object detection;point clouds
Decision: Poster
Title: Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
Authors: kai wang, Fei Yang, Shiqi Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer
Affiliations: Computer Vision Center, Barcelona, Spain; Universitat Autonoma de Barcelona, Barcelona, Spain; College of Computer Science, Nankai University, Tianjin, China
Conference: nips 2023 (main track)
Keywords: Diffusion Models; Text-guided Image Edit; Textual Inversion; Localization
Decision: Poster
Title: Replicable Clustering
Authors: Hossein Esfandiari, Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou
Affiliations: Yale University, Google Research; Yale University; Google Research
Conference: nips 2023 (main track)
Keywords: Theory;Clustering Theory;Statistical Learning Theory;Reproducibility;Replicability
Decision: Poster
Title: Characteristic Circuits
Authors: Zhongjie Yu, Martin Trapp, Kristian Kersting
Affiliations: TU Darmstadt, Darmstadt, Germany; TU Darmstadt/Hessian.AI/DFKI, Darmstadt, Germany; Aalto University, Espoo, Finland
Conference: nips 2023 (main track)
Keywords: Characteristic Circuit;Characteristic Function;Probabilistic Circuit;Heterogeneous Data;Density Estimation
Decision: Oral
Title: Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Authors: Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, Karthik Narasimhan
Affiliations: Princeton University; Google DeepMind
Conference: nips 2023 (main track)
Keywords: large language model;general problem solving;heuristic search;reasoning;planning;decision making
Decision: Oral
Title: Understanding Contrastive Learning via Distributionally Robust Optimization
Authors: Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He
Affiliations: University of Science and Technology of China; Zhejiang University
Conference: nips 2023 (main track)
Keywords: contrastive learning;distributionally robust optimization;mutual information
Decision: Poster
Title: Self-Adaptive Motion Tracking against On-body Displacement of Flexible Sensors
Authors: Chengxu Zuo, Fang Jiawei, Shihui Guo, Yipeng Qin
Affiliations: School of Informatics, Xiamen University, China; School of Computer Science & Informatics, Cardiff University, UK
Conference: nips 2023 (main track)
Keywords: motion tracking;flexible sensor;on-body displacement;deep learning;domain adaptation
Decision: Poster
Title: The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Authors: Laura Ruis, Akbir Khan, Stella Biderman, Sara Hooker, Tim Rocktäschel, Edward Grefenstette
Affiliations: Cohere for AI; EleutherAI, Booz Allen Hamilton; University College London
Conference: nips 2023 (main track)
Keywords: large language models;pragmatics;natural language processing;communication;conversation;implicature;language model fine-tuning
Decision: Spotlight
Title: Quantification of Uncertainty with Adversarial Models
Authors: Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter
Affiliations: ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria
Conference: nips 2023 (main track)
Keywords: uncertainty;uncertainty quantification;predictive uncertainty;epistemic uncertainty;out of distribution;mc dropout;deep ensembles;sg-mcmc;adversarial model;adversarial model search;imagenet
Decision: Poster
Title: A Cross-Moment Approach for Causal Effect Estimation
Authors: Yaroslav Kivva, Saber Salehkaleybar, Saber Salehkaleybar, Negar Kiyavash
Affiliations: School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland; College of Management of Technology, EPFL, Lausanne, Switzerland
Conference: nips 2023 (main track)
Keywords: Causal inference;Difference-in-Difference;Structural causal models;Potential outcome;Proxy learning
Decision: Spotlight
Title: Evolving Standardization for Continual Domain Generalization over Temporal Drift
Authors: Mixue Xie, Shuang Li, Longhui Yuan, Chi Liu, Zehui Dai
Affiliations: Lazada Search & Monetisation Tech, China; Beijing Institute of Technology, China
Conference: nips 2023 (main track)
Keywords: domain generalization;sequential learning;temporal drift;feature standardization
Decision: Poster
Title: LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Authors: Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
Affiliations: University of Rochester; North Carolina State University; University of Connecticut; Northeastern University; Indiana University Bloomington; University of Massachusetts Dartmouth
Conference: nips 2023 (main track)
Keywords: Privacy-Preserving Machine Learning;efficient private inference;machine learning as a service;homomorphic encryption;non-linear pruning;ST-GCN
Decision: Poster
Title: Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing
Authors: Maofeng Tang, Andrei Cozma, Konstantinos Georgiou, Hairong Qi
Affiliations: Min H. Kao Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville
Conference: nips 2023 (main track)
Keywords: Remote Sensting;Self-Supervised Learning
Decision: Poster
Title: Compression with Bayesian Implicit Neural Representations
Authors: Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato
Affiliations: University of Science and Technology of China; University of Cambridge
Conference: nips 2023 (main track)
Keywords: Neural Compression;Implicit Neural Representation;Relative Entropy Coding;Bayesian Neural Network
Decision: Spotlight
Title: Pairwise Causality Guided Transformers for Event Sequences
Authors: Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P Bennett
Affiliations: RPI; IBM Research
Conference: nips 2023 (main track)
Keywords: temporal event sequences;causal inference;transformer;causal knowledge graph
Decision: Poster
Title: Module-wise Training of Neural Networks via the Minimizing Movement Scheme
Authors: Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari
Affiliations: Sorbonne Université, Thales; Criteo, Sorbonne Université; ETH Zurich
Conference: nips 2023 (main track)
Keywords: Deep learning;greedy layerwise training;memory;optimal transport
Decision: Poster
Title: StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller
Authors: Hong-Sheng Zheng, Yu-Yuan Liu, Chen-Fong Hsu, Tsung Tai Yeh
Affiliations: Department of Computer Science, National Yang-Ming Chiao Tung University, Hsinchu, Taiwan
Conference: nips 2023 (main track)
Keywords: TinyML models;edge AIs;Microcontroller
Decision: Poster
Title: Many-body Approximation for Non-negative Tensors
Authors: KAZU GHALAMKARI, Mahito Sugiyama, Yoshinobu Kawahara
Affiliations: Osaka University, RIKEN AIP; RIKEN AIP; National Institute of Informatics, SOKENDAI
Conference: nips 2023 (main track)
Keywords: Tensor decomposition;Energy based model;Tensor networks
Decision: Poster
Title: MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining
Authors: Jacob Portes, Alexander Trott, Sam Havens, DANIEL KING, Abhinav Venigalla, Moin Nadeem, Nikhil Sardana, Daya Khudia, Jonathan Frankle
Affiliations: moinnadeem.com; MosaicML ×Databricks
Conference: nips 2023 (main track)
Keywords: BERT;Pretraining;Efficiency;FlashAttention;ALiBi
Decision: Poster
Title: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning
Authors: Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji
Affiliations: Department of Automation, Tsinghua University, Beijing, China
Conference: nips 2023 (main track)
Keywords: multi-agent reinforcement learning;offline reinforcement learning
Decision: Poster
Title: No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
Authors: Eric Neyman, Tim Roughgarden
Affiliations: Columbia University, New York, NY 10027, eric.neyman@columbia.edu; Columbia University, New York, NY 10027, tim.roughgarden@gmail.com
Conference: nips 2023 (main track)
Keywords: Logarithmic pooling;online learning;no-regret learning;calibrated experts;online mirror descent;prediction with expert advice
Decision: Poster
Title: Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy
Authors: Amit Daniely, Nati Srebro, Gal Vardi
Affiliations: TTI-Chicago; Hebrew University and Google; TTI-Chicago and Hebrew University
Conference: nips 2023 (main track)
Keywords: Learning neural networks;Computational complexity;Hardness of learning;Smoothed analysis;Degenerate weights
Decision: Poster
Title: Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale
Authors: Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab.; School of Computer Science, Faculty of Engineering, The University of Sydney.; School of information and Electronics, Beijing Institute of Technology.
Conference: nips 2023 (main track)
Keywords: knowledge distillation;small-data pitfall;vanilla kd
Decision: Poster
Title: Counterfactual Memorization in Neural Language Models
Authors: Chiyuan Zhang, Daphne Ippolito, Katherine Lee, Matthew Jagielski, Florian Tramer, Nicholas Carlini
Affiliations: Google DeepMind; Carnegie Mellon University; ETH Zürich; Google Research
Conference: nips 2023 (main track)
Keywords: Memorization;Language Models
Decision: Spotlight
Title: Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
Authors: Minbo Gao, Zhengfeng Ji, Tongyang Li, Qisheng Wang
Affiliations: Center on Frontiers of Computing Studies, and School of Computer Science, Peking University, Beijing, China; Graduate School of Mathematics, Nagoya University, Nagoya, Japan; Department of Computer Science and Technology, Tsinghua University, Beijing, China; State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China
Conference: nips 2023 (main track)
Keywords: Online learning;quantum computing;zero-sum games;optimistic multiplicative weight update
Decision: Poster
Title: In-Context Learning Unlocked for Diffusion Models
Authors: Zhendong Wang, Yifan Jiang, Yadong Lu, yelong shen, Pengcheng He, Weizhu Chen, Zhangyang "Atlas" Wang, Mingyuan Zhou
Affiliations: Microsoft Azure AI; The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: diffusion models;in-context learning
Decision: Spotlight
Title: DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
Authors: Chenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji
Affiliations: Google; Technical University of Munich; Tsinghua University
Conference: nips 2023 (main track)
Keywords: hand-held object reconstruction;directed distance field;human-object interaction
Decision: Poster
Title: LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
Authors: Jiaqi Guan, Xingang Peng, PeiQi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma
Affiliations: University of Illinois Urbana-Champaign; Georgia Institute of Technology; Peking University; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Linker design;generative models
Decision: Spotlight
Title: Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
Authors: Yuzheng Hu, Ruicheng Xian, Qilong Wu, Qiuling Fan, Lang Yin, Han Zhao
Affiliations: Department of Computer Science, University of Illinois Urbana-Champaign; Department of Mathematics, University of Illinois Urbana-Champaign
Conference: nips 2023 (main track)
Keywords: multi-task learning;scalarization;Pareto front
Decision: Poster
Title: Certified Minimax Unlearning with Generalization Rates and Deletion Capacity
Authors: Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren
Affiliations: Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center; Zhejiang University
Conference: nips 2023 (main track)
Keywords: machine unlearning;machin learning privacy;minimax learning;certified removal
Decision: Poster
Title: Hierarchical Randomized Smoothing
Authors: Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
Affiliations: Dept. of Computer Science & Munich Data Science Institute, Technical University of Munich; University of Cologne, Germany
Conference: nips 2023 (main track)
Keywords: Adversarial Robustness;Robustness Certification;Randomized Smoothing;Graph Neural Networks
Decision: Poster
Title: Learning World Models with Identifiable Factorization
Authors: Yuren Liu, Biwei Huang, Zhengmao Zhu, Honglong Tian, Mingming Gong, Yang Yu, Kun Zhang
Affiliations: University of California San Diego, USA; Carnegie Mellon University, USA; University of Melbourne, Australia; National Key Laboratory for Novel Software Technology, Nanjing University, China
Conference: nips 2023 (main track)
Keywords: Model-based Reinforcement Learning; Causal Representation Learning;
Decision: Poster
Title: ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
Authors: Chenyang Le, Yao Qian, Long Zhou, Shujie LIU, Yanmin Qian, Michael Zeng, Xuedong Huang
Affiliations: Microsoft Cloud and AI, Redmond, WA, US; Shanghai Jiao Tong University, Shanghai, China; Microsoft Research Asia, Beijing, China
Conference: nips 2023 (main track)
Keywords: end-to-end speech to text translation;cross-modality learning;joint speech and language training
Decision: Poster
Title: Robust Lipschitz Bandits to Adversarial Corruptions
Authors: Yue Kang, Cho-Jui Hsieh, Thomas Chun Man Lee
Affiliations: Google and Department of Computer Science, UCLA, Los Angeles, CA; Department of Statistics, University of California, Davis, Davis, CA 95616
Conference: nips 2023 (main track)
Keywords: bandits
Decision: Poster
Title: Preference-grounded Token-level Guidance for Language Model Fine-tuning
Authors: Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
Affiliations: Salesforce Research; The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Preference Learning;Training Guidance Learning;Language Model Fine-tuning;Text Sequence Generation
Decision: Poster
Title: Adversarial Model for Offline Reinforcement Learning
Authors: Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng
Affiliations: Microsoft Research, Redmond; Microsoft Research & UW-Madison; University of Washington; UIUC
Conference: nips 2023 (main track)
Keywords: model based;offline;reinforcement learning;adversarial training
Decision: Poster
Title: Into the LAION’s Den: Investigating Hate in Multimodal Datasets
Authors: Abeba Birhane, vinay prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni
Affiliations: Mozilla Foundation and School of Computer Science and Statistics, Trinity College Dublin, Ireland; Hugging Face, Montreal, Canada; Independent Researcher; Computer Science and Engineering, Michigan State University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: multimodal datasets;dataset audit;hate speech detection;toxic content detection
Decision: Poster
Title: DELTA: Diverse Client Sampling for Fasting Federated Learning
Authors: Lin Wang, Yongxin Guo, Tao Lin, Xiaoying Tang
Affiliations: School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen); The Shenzhen Institute of Artificial Intelligence and Robotics for Society; The Guangdong Provincial Key Laboratory of Future Networks of Intelligence; School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen); The Shenzhen Institute of Artificial Intelligence and Robotics for Society; Research Center for Industries of the Future, Westlake University; School of Engineering, Westlake University
Conference: nips 2023 (main track)
Keywords: federated learning;client sampling
Decision: Poster
Title: HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
Authors: Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang
Affiliations: Jilin University; Baidu VIS; Shanghai Jiao Tong University; Zhejiang University; South China University of Technology; University of Science and Technology Beijing
Conference: nips 2023 (main track)
Keywords: human centric perception;masked image modeling;structural-aware pre-training
Decision: Poster
Title: Globally injective and bijective neural operators
Authors: Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
Affiliations: South Dakota State University; Rice University; University of Helsinki; Shimane University
Conference: nips 2023 (main track)
Keywords: Deep Learning;Operator Learning;Functional Analysis;Injectivity;Bijectivity;Universal approximation
Decision: Poster