hunoutl/paperlists huggingface dataset:
Title: STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
Authors: Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang
Affiliations: Department of Automation, BNRist, Tsinghua University; Beijing Institute of Technology Chongqing Innovation Center; National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology
Conference: nips 2023 (main track)
Keywords: deep learning;reinforcement learning;model-based reinforcement learning;world model;learning in imagination;transformer;variational autoencoders;sequence modeling
Decision: Poster
Title: VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception
Authors: Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O-Kil Kwon, Edward Choi
Affiliations: MIT; Kangwon National University Hospital; Seoul National University Bundang Hospital; Seoul National University; KAIST
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: visual perception;visual perception alignment;reliability
Decision: Poster
Title: Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
Authors: Drew Linsley, Ivan F Rodriguez Rodriguez, Thomas FEL, Michael Arcaro, Saloni Sharma, Margaret Livingstone, Thomas Serre
Affiliations: Department of Cognitive, Linguistic, & Psychological Sciences, Brown University, Providence, RI; Carney Institute for Brain Science, Brown University, Providence, RI; Department of Cognitive, Linguistic, & Psychological Sciences, Brown University, Providence, RI; Carney Institute for Brain Science, Brown University, Providence, RI; Artificial and Natural Intelligence Toulouse Institute, Toulouse, France; Department of Psychology, University of Pennsylvania, Philadelphia, PA; Harvard Medical School, Cambridge, MA; Artificial and Natural Intelligence Toulouse Institute, Toulouse, France
Conference: nips 2023 (main track)
Keywords: neural system identification;behavioral alignment;neural object recognition
Decision: Poster
Title: Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Authors: Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Affiliations: Independent Researcher; Harbin Institute of Technology, Tencent Security Big Data Lab; UC Davis; Harbin Institute of Technology
Conference: nips 2023 (main track)
Keywords: adversarial examples;adversarial transferability;black-box attack
Decision: Poster
Title: On the Planning Abilities of Large Language Models - A Critical Investigation
Authors: Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati
Affiliations: School of Computing & AI, Arizona State University, Tempe.; Department of Computer Science, Colorado State University, Fort Collins.; School of Computing & AI, Arizona State University Tempe.
Conference: nips 2023 (main track)
Keywords: Large Language Models;Planning;LLMs for autonomous and heuristic planning guidance
Decision: Spotlight
Title: Stochastic Approximation Algorithms for Systems of Interacting Particles
Authors: Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
Affiliations: ETH Zürich
Conference: nips 2023 (main track)
Keywords: Stochastic Approximation;Mean-Field Dynamics;Dynamical Systems;Neural Networks;Sampling
Decision: Poster
Title: Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
Authors: Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu
Affiliations: University of Electronic Science and Technology of China, China; RIKEN Center for Advanced Intelligence Project, Japan
Conference: nips 2023 (main track)
Keywords: Multi-view learning;Contrastive learning;Representation degeneration;Self-supervised learning
Decision: Poster
Title: Non-Convex Bilevel Optimization with Time-Varying Objective Functions
Authors: Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness Shroff
Affiliations: Department of CSE, University at Buffalo; Department of CS, University of Houston; Department of ECE, The Ohio State University; Department of ECE & CSE, The Ohio State University
Conference: nips 2023 (main track)
Keywords: Bilevel Optimization;Time-Varying Functions;Single-Loop;Sublinear Bilevel Local Regret
Decision: Poster
Title: Binarized Neural Machine Translation
Authors: Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
Affiliations: Cornell University; Google DeepMind; OpenAI; Google Research
Conference: nips 2023 (main track)
Keywords: neural network quantization;binarized transformer;machine translation;scaling law
Decision: Poster
Title: GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Authors: Jinggang Chen, Junjie Li, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Jing Xiao
Affiliations: Ping An Technology (Shenzhen) Co., Ltd.; Huazhong University of Science and Technology, China
Conference: nips 2023 (main track)
Keywords: out-of-distribution detection;distribution shifts;attribution gradients
Decision: Poster
Title: DreamWaltz: Make a Scene with Complex 3D Animatable Avatars
Authors: Yukun Huang, Jianan Wang, Ailing Zeng, He CAO, Xianbiao Qi, Yukai Shi, Zheng-Jun Zha, Lei Zhang
Affiliations: University of Science and Technology of China; International Digital Economy Academy (IDEA) and University of Science and Technology of China; International Digital Economy Academy (IDEA)
Conference: nips 2023 (main track)
Keywords: Avatar Generation;3D Content Creation;NeRF;Diffusion Model
Decision: Poster
Title: Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise
Authors: Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein
Affiliations: New York University; University of Maryland
Conference: nips 2023 (main track)
Keywords: Generative Models;Computer Vision;Diffusion Models
Decision: Poster
Title: Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
Authors: Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai
Affiliations: The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Inverse Problems;Posterior Sampling;Latent Diffusion Model;Stable Diffusion;Sample Recovery
Decision: Poster
Title: Incentives in Private Collaborative Machine Learning
Authors: Rachael Sim, Yehong Zhang, Nghia Hoang, Xinyi Xu, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: Dept. of Electrical Engineering and Computer Science, MIT, USA; Peng Cheng Laboratory, People’s Republic of China; School of Electrical Engineering and Computer Science, Washington State University, USA; Department of Computer Science, National University of Singapore, Republic of Singapore
Conference: nips 2023 (main track)
Keywords: Incentives;Privacy;Shapley fairness;Collaborative machine learning;data valuation;reward;sufficient statistics
Decision: Poster
Title: DiffUTE: Universal Text Editing Diffusion Model
Authors: Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, jun lan, 行 郑, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang
Affiliations: Ant Group, Nanjing University; Ant Group; Nanjing University
Conference: nips 2023 (main track)
Keywords: Diffusion model;text editing;self-supervied learning
Decision: Poster
Title: CosNet: A Generalized Spectral Kernel Network
Authors: Yanfang Xue, Pengfei Fang, Jinyue Tian, Shipeng Zhu, hui xue
Affiliations: School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China; Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China
Conference: nips 2023 (main track)
Keywords: Spectral kernel; complex-valued networks
Decision: Poster
Title: TD Convergence: An Optimization Perspective
Authors: Kavosh Asadi, Shoham Sabach, Yao Liu, Yao Liu, Omer Gottesman, Rasool Fakoor
Affiliations: Amazon; Amazon & Technion
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Temporal Difference Learning;Value Function Optimization;Convergence
Decision: Poster
Title: FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
Authors: Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao
Affiliations: The University of Hong Kong; Zhejiang Lab, Zhejiang University; Nanjing University; ByteDance
Conference: nips 2023 (main track)
Keywords: learning from synthetic;semantic segmentation;generative models
Decision: Poster
Title: QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data
Authors: Simone Papicchio, Paolo Papotti, Luca Cagliero
Affiliations: Politecnico di Torino, Turin, Italy; EURECOM, Sophia Antipolis, France
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Table Representation Learning;TRL;Benchmarking tool;Checklist;Question Answering;QA;Semantic Parsing;text-to-SQL;Proprietary Data;Tabular Data;Relational Tables;Cross-task performance metrics;Automated testing;Large Language Model;ChatGPT;LLM​
Decision: Poster
Title: Mirror Diffusion Models for Constrained and Watermarked Generation
Authors: Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou, Molei Tao
Affiliations: Georgia Institute of Technology, USA
Conference: nips 2023 (main track)
Keywords: diffusion models;constrained generation;constrained manifold;mirror map;watermarked generation;generation privacy
Decision: Poster
Title: Block-State Transformers
Authors: Jonathan Pilault, Mahan Fathi, Orhan Firat, Chris Pal, Pierre-Luc Bacon, Ross Goroshin
Affiliations: Mila, Université de Montréal, Polytechnique Montréal; Google DeepMind
Conference: nips 2023 (main track)
Keywords: State Space Models;Efficient Transformers;Long Range Language Modeling;Language Modeling
Decision: Poster
Title: Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
Authors: Hao Wang, Luxi He, Luxi He, Rui Gao, Flavio Calmon
Affiliations: Harvard University; MIT-IBM Watson AI Lab; Harvard College; The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: information theory;fair machine learning
Decision: Spotlight
Title: A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
Authors: Elisa Nguyen, Minjoon Seo, Seong Joon Oh
Affiliations: KAIST AI; Tübingen AI Center, University of Tübingen
Conference: nips 2023 (main track)
Keywords: training data attribution;interpretability;explainability;data-driven xai
Decision: Poster
Title: On the Size and Approximation Error of Distilled Datasets
Authors: Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus
Affiliations: MIT CSAIL; DataHeroes
Conference: nips 2023 (main track)
Keywords: Dataset Distillation;Size and Approximation Error
Decision: Poster
Title: Have it your way: Individualized Privacy Assignment for DP-SGD
Authors: Franziska Boenisch, Christopher Mühl, Adam Dziedzic, Roy Rinberg, Nicolas Papernot
Affiliations: University of Toronto & Vector Institute; CISPA Helmholtz Center for Information Security; Free University Berlin; Columbia University
Conference: nips 2023 (main track)
Keywords: privacy;machine learning;differential privacy;DP-SGD;individualized privacy
Decision: Poster
Title: Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
Authors: Rui Wang, Peipei Li, Huaibo Huang, Chunshui Cao, Ran He, Zhaofeng He
Affiliations: WATRIX.AI; CRIPAC&MAIS, Institute of Automation, Chinese Academy of Sciences; Beijing University of Posts and Telecommunications
Conference: nips 2023 (main track)
Keywords: Ordinal Classification;Representation Learning;Vision-Language;Prompt Learning
Decision: Poster
Title: Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
Authors: Erik Altman, Jovan Blanuša, Luc von Niederhäusern, Beni Egressy, Andreea Anghel, Kubilay Atasu
Affiliations: IBM Watson Research, Yorktown Heights, NY, USA; ETH Zurich, Switzerland; IBM Research Europe, Zurich, Switzerland
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Synthetic Data;Anti Money Laundering;Multi-Agent;Virtual World;GNN
Decision: Poster
Title: Provable Training for Graph Contrastive Learning
Authors: Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
Affiliations: Beihang University, China; Beijing University of Posts and Telecommunications, China
Conference: nips 2023 (main track)
Keywords: Graph Contrastive Learning;Graph Neural Networks;Bound Propagation
Decision: Spotlight
Title: Making Scalable Meta Learning Practical
Authors: Sang Choe, Sanket Vaibhav Mehta, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Pengtao Xie, Emma Strubell, Eric Xing
Affiliations: Stanford University; Carnegie Mellon University; UCSD
Conference: nips 2023 (main track)
Keywords: meta learning;bilevel optimization;large-scale learning;implicit differentiation
Decision: Poster
Title: DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization
Authors: Aditya Vora, Akshay Gadi Patil, Hao Zhang
Affiliations: Simon Fraser University; Simon Fraser University, Amazon
Conference: nips 2023 (main track)
Keywords: Multi-view Neural 3D Reconstruction;Sparse and Disparate Views;Neural Rendering;Volume Rendering
Decision: Poster
Title: Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Authors: Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun (Harry) Chao
Affiliations: University of Wisconsin-Madison; The Ohio State University; Rensselaer Polytechnic Institute
Conference: nips 2023 (main track)
Keywords: Fine-tuning;Transfer learning;Domain adaptation;Continual learning;Robustness;Personalization
Decision: Poster
Title: On Calibrating Diffusion Probabilistic Models
Authors: Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
Affiliations: Qing Yuan Research Institute, Shanghai Jiao Tong University; Sea AI Lab, Singapore; Department of Computer Science, Tsinghua University
Conference: nips 2023 (main track)
Keywords: Diffusion Probabilistic Models;Model Calibration
Decision: Poster
Title: Bayesian Learning via Q-Exponential Process
Authors: Shuyi Li, Michael O'Connor, Shiwei Lan
Affiliations: School of Mathematical & Statistical Sciences, Arizona State University, Tempe, AZ 85287
Conference: nips 2023 (main track)
Keywords: Functional Regularization;Besov Process;$Q$-Exponential Distribution;Elliptic Contour Distribution
Decision: Poster
Title: Hierarchical Integration Diffusion Model for Realistic Image Deblurring
Authors: Zheng Chen, Zheng Chen, Yulun Zhang, Ding Liu, bin xia, Jinjin Gu, Linghe Kong, Xin Yuan
Affiliations: Westlake University; The University of Sydney; Shanghai Jiao Tong University; Tsinghua University; ETH Zürich; Shanghai AI Laboratory; Bytedance Inc
Conference: nips 2023 (main track)
Keywords: image deblurring;diffusion model
Decision: Spotlight
Title: Deep Recurrent Optimal Stopping
Authors: Niranjan Damera Venkata, Chiranjib Bhattacharyya
Affiliations: Digital and Transformation Organization, HP Inc., Chennai, India; Dept. of CSA and RBCCPS, Indian Institute of Science, Bangalore, India
Conference: nips 2023 (main track)
Keywords: optimal stopping;recurrent neural networks;probabilistic graphical models;policy gradient methods
Decision: Poster
Title: Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
Authors: Hui En Pang, Zhongang Cai, Lei Yang, Qingyi Tao, Zhonghua Wu, Tianwei Zhang, Ziwei Liu
Affiliations: S-Lab, Nanyang Technological University; SenseTime Research
Conference: nips 2023 (main track)
Keywords: Whole-body;SMPLX Model;Human Pose and Shape Estimation;Human Mesh Recovery
Decision: Poster
Title: On the Minimax Regret for Online Learning with Feedback Graphs
Authors: Khaled Eldowa, Emmanuel Esposito, Tom Cesari, Nicolò Cesa-Bianchi
Affiliations: University of Ottawa, Ottawa, Canada; Università degli Studi di Milano, Milan, Italy; Università degli Studi di Milano, Milan, Italy & Istituto Italiano di Tecnologia, Genoa, Italy; Università degli Studi di Milano, Milan, Italy & Politecnico di Milano, Milan, Italy
Conference: nips 2023 (main track)
Keywords: Online learning;Feedback graphs;Multiarmed bandits
Decision: Spotlight
Title: Deep Insights into Noisy Pseudo Labeling on Graph Data
Authors: Botao WANG, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
Affiliations: Tencent AI Lab, Shenzhen, China; Hong Kong University of Science and Technology, Hong Kong SAR, China
Conference: nips 2023 (main track)
Keywords: Pseudo labeling;Graph data;Error analysis;Cautious
Decision: Poster
Title: Batch Bayesian Optimization For Replicable Experimental Design
Authors: Zhongxiang Dai, Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Tay, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: Temasek Life Sciences Laboratory, Singapore; Department of Computer Science, National University of Singapore; Institute for Infocomm Research (I2R), A*STAR, Singapore; LIDS and EECS, Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: Bayesian optimization;Gaussian processes;AI4Science
Decision: Poster
Title: ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training
Authors: Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello
Affiliations: Sapienza Università di Roma, dipartimento di Informatica; Institute of Science and Technology Austria (ISTA)
Conference: nips 2023 (main track)
Keywords: Representation learning;Multimodal models;Analogy;Sparsity;Nonparametric;Relative representations;Language;Semiotics
Decision: Poster
Title: Scientific Document Retrieval using Multi-level Aspect-based Queries
Authors: Jianyou (Andre) Wang, Kaicheng Wang, Xiaoyue Wang, Prudhviraj Naidu, Leon Bergen, Ramamohan Paturi
Affiliations: Laboratory for Emerging Intelligence, University of California, San Diego, La Jolla, CA 92093
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: natural language processing;large language model;retrieval;information retrieval;document retrieval;query-based document retrieval;aspect-based document similarity;benchmark dataset
Decision: Poster
Title: Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Authors: Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan
Affiliations: Monash University, Australia; Griffith University, Australia; Harbin Institute of Technology (Shenzhen), China; Florida Atlantic University, USA
Conference: nips 2023 (main track)
Keywords: graph neural networks (GNNs);graph condensation;training trajectory meta-matching;graph neural feature score
Decision: Spotlight
Title: Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
Authors: Sudhanshu Chanpuriya, Ryan Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron Musco
Affiliations: University of Massachusetts Amherst; University of Illinois Urbana-Champaign; Adobe Research
Conference: nips 2023 (main track)
Keywords: graph;network;embeddings;arboricity;factorization;model;community;nonnegative
Decision: Poster
Title: Distributed Inference and Fine-tuning of Large Language Models Over The Internet
Authors: Alexander Borzunov, Max Ryabinin, Artem Chumachenko, Dmitry Baranchuk, Tim Dettmers, Younes Belkada, Pavel Samygin, Colin Raffel
Affiliations: Yandex School of Data Analysis; HSE University, Yandex; Hugging Face; University of Washington; Neiro.ai; Yandex
Conference: nips 2023 (main track)
Keywords: volunteer computing;distributed deep learning;distributed inference;efficient inference;large language models
Decision: Poster
Title: Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
Authors: Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang, Ao Ma, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou
Affiliations: Alibaba Group; National University of Singapore; Ant Group
Conference: nips 2023 (main track)
Keywords: Parameter-efficient Transfer Learning;Memory-efficient Transfer Learning;Residual Network;Vision Transformer;Foundation Model
Decision: Poster
Title: Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images
Authors: Zeyu Lu, Di Huang, LEI BAI, Jingjing Qu, Chengyue Wu, Xihui Liu, Wanli Ouyang
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Human Perception;Model Perception;AI-Generated Images;Deepfake;Benchmark;Dataset
Decision: Poster
Title: Regularized Behavior Cloning for Blocking the Leakage of Past Action Information
Authors: Seokin Seo, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
Affiliations: School of Computing, KAIST; Kim Jaechul Graduate School of AI, KAIST
Conference: nips 2023 (main track)
Keywords: Imitation learning;Information leakage;Causal Confusion
Decision: Spotlight
Title: Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
Authors: Haoran Chen, Xintong Han, Zuxuan Wu, Yu-Gang Jiang
Affiliations: Shanghai Key Lab of Intell. Info. Processing, School of CS, Fudan University; Huya Inc
Conference: nips 2023 (main track)
Keywords: multi source unsupervised domain adaptation; transfer learning; computer vision
Decision: Poster
Title: Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
Authors: Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin
Affiliations: HSE University, Yandex; MIPT, Yandex
Conference: nips 2023 (main track)
Keywords: text-to-image generation;diffusion models;early stopping
Decision: Poster
Title: LayoutGPT: Compositional Visual Planning and Generation with Large Language Models
Authors: Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Xuehai He, S Basu, Xin Eric Wang, William Yang Wang
Affiliations: Google; University of California, Santa Barbara; University of California, Santa Cruz
Conference: nips 2023 (main track)
Keywords: Large Language Models;Compositional Image Generation;3D scene synthesis
Decision: Poster
Title: Self-supervised Graph Neural Networks via Low-Rank Decomposition
Authors: Liang Yang, Runjie Shi, Qiuliang Zhang, bingxin niu, Zhen Wang, Xiaochun Cao, Chuan Wang
Affiliations: School of Artiﬁcial Intelligence, Hebei University of Technology, Tianjin, China; Institute of Information Engineering, CAS, Beijing, China; School of Artiﬁcial Intelligence, OPtics and ElectroNics (iOPEN), School of Cybersecurity, Northwestern Polytechnical University, Xi’an, China; School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
Conference: nips 2023 (main track)
Keywords: Graph neural network;Self-supervised learning;Low-Rank recovery
Decision: Poster
Title: Non-Rigid Shape Registration via Deep Functional Maps Prior
Authors: Puhua Jiang, Mingze Sun, Ruqi Huang
Affiliations: Tsinghua Shenzhen International Graduate School, China; Tsinghua Shenzhen International Graduate School, China; Peng Cheng Lab, China
Conference: nips 2023 (main track)
Keywords: shape registration; functional maps; unsupervised learning
Decision: Poster
Title: ReSync: Riemannian Subgradient-based Robust Rotation Synchronization
Authors: Huikang Liu, Xiao Li, Anthony Man-Cho So
Affiliations: Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong; School of Data Science, The Chinese University of Hong Kong, Shenzhen; School of Information Management and Engineering, Shanghai University of Finance and Economics
Conference: nips 2023 (main track)
Keywords: Manifold optimization;Riemannian subgradient method;rotation synchronization
Decision: Poster
Title: CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models
Authors: Denis Kuznedelev, Eldar Kurtić, Elias Frantar, Dan Alistarh, Dan Alistarh
Affiliations: IST Austria & Neural Magic; IST Austria; Skoltech & Yandex
Conference: nips 2023 (main track)
Keywords: neural network pruning;vision transformer;sparsity;model compression
Decision: Poster