hunoutl/paperlists huggingface dataset:
Title: Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
Authors: Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Affiliations: Lund University; Lund University, Stanford University, DBtune; Amazon, San Francisco, CA 94105, USA
Conference: nips 2023 (main track)
Keywords: Bayesian optimization;global optimization;Gaussian process;combinatorial optimization;high-dimensional
Decision: Poster
Title: Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Authors: Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun
Affiliations: Kim Jaechul Graduate School of AI, KAIST
Conference: nips 2023 (main track)
Keywords: streaming;PCA;memory-limited;fair representation;online learning
Decision: Poster
Title: Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
Authors: Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
Affiliations: University of Washington5; ImprobableAI Lab, Massachusetts Institute of Technology1; Aalto University4; MIT-IBM Lab3; RAIL Lab, UC Berkeley2
Conference: nips 2023 (main track)
Keywords: offline reinforcement learning;reinforcement learning;sampling;experience replay
Decision: Poster
Title: Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
Authors: Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters
Affiliations: Bosch Center for Artificial Intelligence, Renningen, Germany; Technische Universität Darmstadt, Germany; Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Germany; University of Southern Denmark, Odense, Denmark
Conference: nips 2023 (main track)
Keywords: Linear bandits;confidence sequences;martingales;convex optimization;cumulative regret;regret analysis
Decision: Oral
Title: A Variational Perspective on High-Resolution ODEs
Authors: Hoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever
Affiliations: Umeå University; University of Edinburgh
Conference: nips 2023 (main track)
Keywords: Nesterov's accelerated gradient;gradient descent;Lyapunov function;gradient norm minimization;rate-matching;stochastic variance reduction;stochastic gradient descent;noisy gradient
Decision: Poster
Title: L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
Authors: zheng chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, Boxin Shi
Affiliations: National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; National Engineering Research Center of Visual Technology, School of Computer Science, Peking University; International Digital Economy Academy; School of Artificial Intelligence, Beijing University of Posts and Telecommunications
Conference: nips 2023 (main track)
Keywords: Colorization;Language-based generation;Diffusion model
Decision: Spotlight
Title: The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
Authors: Jon Donnelly, Srikar Katta, Cynthia Rudin, Edward Browne
Affiliations: Department of Computer Science, Duke University, Durham, NC 27708; Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
Conference: nips 2023 (main track)
Keywords: Rashomon Effect;Variable Importance;XAI;Stability;Interpretable Machine Learning
Decision: Spotlight
Title: 4M: Massively Multimodal Masked Modeling
Authors: David Mizrahi, Roman Bachmann, Oguzhan Kar, Teresa Yeo, Teresa Yeo, Mingfei Gao, Afshin Dehghan, Amir Zamir
Affiliations: Swiss Federal Institute of Technology Lausanne (EPFL); Apple
Conference: nips 2023 (main track)
Keywords: multimodal learning;multitask learning;representation learning;transfer learning;foundation models;generative models;computer vision
Decision: Spotlight
Title: Sparse Modular Activation for Efficient Sequence Modeling
Authors: Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, Cheng Xiang Zhai
Affiliations: University of Illinois at Urbana-Champaign; Microsoft
Conference: nips 2023 (main track)
Keywords: Sequence Modeling;Modularity;Sparsity;Attention Mechanism;State Space Model;Mixture of Experts;Neural Network;Transformer
Decision: Poster
Title: Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
Authors: Jungtaek Kim, Mingxuan Li, Oliver Hinder, Paul Leu
Affiliations: University of Pittsburgh, Pittsburgh, PA 15261, USA
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Nanophotonic structures;Nanophotonic structure simulations;Parametric structure designs;Parametric design simulations;Nanophotonic structure optimization
Decision: Poster
Title: Bayesian target optimisation for high-precision holographic optogenetics
Authors: Marcus Triplett, Marta Gajowa, Hillel Adesnik, Liam Paninski
Affiliations: Department of Statistics, Columbia University; Zuckerman Mind Brain Behavior Institute, Columbia University; Department of Molecular and Cell Biology, UC Berkeley
Conference: nips 2023 (main track)
Keywords: Neuroscience;neural stimulation;optogenetics;calcium imaging
Decision: Spotlight
Title: Loss Dynamics of Temporal Difference Reinforcement Learning
Authors: Blake Bordelon, Paul Masset, Henry Kuo, Cengiz Pehlevan
Affiliations: John Paulson School of Engineering and Applied Sciences, Center for Brain Science, Kempner Institute for the Study of Natural & Artiﬁcial Intelligence, Harvard University
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Statistical Mechanics;Stochastic Gradient Descent
Decision: Poster
Title: Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
Authors: Maximilien Dreveton, Felipe Fernandes, Daniel Figueiredo
Affiliations: School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland; Systems Engineering and Computer Science, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
Conference: nips 2023 (main track)
Keywords: community detection;stochastic block model;bregman divergence
Decision: Poster
Title: Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
Authors: Clement Benard, Brian Staber, Sébastien Da Veiga
Affiliations: ENSAI, CREST, F-35000 Rennes, France; Safran Tech, Digital Sciences & Technologies, 78114 Magny-Les-Hameaux, France
Conference: nips 2023 (main track)
Keywords: Bayesian inference;Markov chain Monte Carlo;kernelized Stein discrepancy;Stein thinning;kernel methods
Decision: Poster
Title: Predict-then-Calibrate: A New Perspective of Robust Contextual LP
Authors: Chunlin Sun, Linyu Liu, Xiaocheng Li
Affiliations: Imperial College Business School, Imperial College London; Institute for Computational and Mathematical Engineering, Stanford University; Department of Automation, Tsinghua University
Conference: nips 2023 (main track)
Keywords: Uncertainty Quantification;Contextual LP;Robust Optimization;Distributionally Robust Optimization
Decision: Poster
Title: SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
Authors: Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett
Affiliations: Department of Computer Science, The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Reasoning;Chain-of-thought;Logical Reasoning;Arithmetic Reasoning;Prompting;In-Context Learning;Large Language Model
Decision: Poster
Title: Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
Authors: cheng cheng, Lin Song, Ruoyi Xue, Hang Wang, Hongbin Sun, Yixiao Ge, Ying Shan
Affiliations: Xi’an JiaoTong University; Tencent AI Lab
Conference: nips 2023 (main track)
Keywords: Few-shot Learning; Vision-Language Model Adaption
Decision: Poster
Title: GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Authors: Haiteng Zhao, Shengchao Liu, Ma Chang, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu
Affiliations: University of Oxford; The University of Hong Kong; Peking University; Hong Kong University of Science and Technology; Mila
Conference: nips 2023 (main track)
Keywords: Instruction;Molecule;Zero Shot;Graph;Language Model
Decision: Poster
Title: Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Authors: Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
Affiliations: Alibaba Cloud; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Out-of-Distribution Detection;Parameter Sensitivity;Parameter Pruning;Neuron Pruning
Decision: Poster
Title: An Efficient Doubly-Robust Test for the Kernel Treatment Effect
Authors: Diego Martinez Taboada, Aaditya Ramdas, Edward Kennedy
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, Pittsburgh, PA 15213
Conference: nips 2023 (main track)
Keywords: kernel treatment effect;causal inference;maximum mean discrepancy
Decision: Poster
Title: Long Sequence Hopfield Memory
Authors: Hamza Chaudhry, Jacob Zavatone-Veth, Dmitry Krotov, Cengiz Pehlevan
Affiliations: John A. Paulson School of Engineering and Applied Sciences, Center for Brain Science, Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University; Center for Brain Science, Department of Physics, Harvard University; MIT-IBM Watson AI Lab, IBM Research; John A. Paulson School of Engineering and Applied Sciences, Center for Brain Science, Harvard University
Conference: nips 2023 (main track)
Keywords: Sequence Recall;Dense Associative Memory;Memory Capacity;Hopfield Networks;Biological Motor Control
Decision: Poster
Title: Topological RANSAC for instance verification and retrieval without fine-tuning
Authors: Guoyuan An, Ju-hyeong Seon, Inkyu An, Yuchi Huo, Sung-eui Yoon
Affiliations: School of Computing, KAIST; School of Computing, KAIST, ETRI, Electronics and Telecommunications Research Institute; State Key Lab of CAD&CG, Zhejiang University, Zhejiang Lab
Conference: nips 2023 (main track)
Keywords: Landmarks retrieval;non-fine-tuning;spatial verification;explainable AI;hypothesis and test
Decision: Poster
Title: Towards Efficient and Accurate Winograd Convolution via Full Quantization
Authors: Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng
Affiliations: Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences; AIRIA; Maicro.ai; Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; AIRIA; Maicro.ai
Conference: nips 2023 (main track)
Keywords: Winograd Convolution;Quantization
Decision: Poster
Title: Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning
Authors: Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu
Affiliations: School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen; School of Cyber Science and Technology, Sun Yat-sen University (Shenzhen Campus); College of Computer Science and Software Engineering, Shenzhen University
Conference: nips 2023 (main track)
Keywords: Incomplete Multi-view Weak Multi-label Learning;Multi-view learning;Multi-label Classification
Decision: Poster
Title: GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Authors: Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
Affiliations: Hong Kong University of Science and Technology (Guangzhou); Hong Kong University of Science and Technology; Tencent AI Lab
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Graph Anomaly Detection;Graph Neural Networks
Decision: Poster
Title: Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
Authors: Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang, Alejandro Ribeiro
Affiliations: University of Maryland, College Park; University of Virginia; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: Constrained Markov decision processes;policy gradient primal-dual methods;non-convex saddle-point problem;last-iterate convergence;entropy regularization;optimistic gradient
Decision: Poster
Title: Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
Authors: Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia
Affiliations: Huawei Noah’s Ark Lab; School of Computer Science, University of Waterloo, Vector Institute
Conference: nips 2023 (main track)
Keywords: Neural network quantization;Model compression;Conditional gradient algorithm
Decision: Poster
Title: A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space
Authors: Wenchong He, Zhe Jiang, Tingsong Xiao, Zelin Xu, Shigang Chen, Ronald Fick, MILES MEDINA, Christine Angelini
Affiliations: Department of Computer & Information Science & Engineering, University of Florida; Center for Coastal Solutions, University of Florida
Conference: nips 2023 (main track)
Keywords: Spatial representation learning;transformer;quadtree;efficiency
Decision: Poster
Title: Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision
Authors: Zeyang Zhang, Xin Wang, Ziwei Zhang, Guangyao Shen, Shiqi Shen, Wenwu Zhu
Affiliations: Department of Computer Science and Technology, BNRist, Tsinghua University; Wechat, Tencent
Conference: nips 2023 (main track)
Keywords: Graph Neural Architecture Search;Unsupervised Learning;Self-supervised Learning
Decision: Poster
Title: A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
Authors: Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Affiliations: 1SKLOIS, Institute of Information Engineering, CAS; 2School of Cyber Security, University of Chinese Academy of Sciences; 6School of Cyber Science and Tech., Shenzhen Campus of Sun Yat-sen University; 4School of Computer Science and Tech., University of Chinese Academy of Sciences; 5Alibaba Group; 3Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS; 4School of Computer Science and Tech., University of Chinese Academy of Sciences; 3Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS; 7BDKM, University of Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Imbalanced Learning;Re-weighting;Logit Adjustment;Genralization Analysis
Decision: Spotlight
Title: Cross-modal Active Complementary Learning with Self-refining Correspondence
Authors: Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu
Affiliations: College of Computer Science, Sichuan University, Chengdu, China.; Centre for Frontier AI Research (CFAR) and Institute of High Performance Computing (IHPC), A*STAR, Singapore.
Conference: nips 2023 (main track)
Keywords: Cross-modal learning;Image-text matching;Noisy correspondence.
Decision: Poster
Title: Learning Human Action Recognition Representations Without Real Humans
Authors: Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogerio Feris
Affiliations: 3Boston University; 2MIT-IBM Watson AI Lab, 3Boston University; 2MIT-IBM Watson AI Lab, 6Korea University; 1MIT, 2MIT-IBM Watson AI Lab; 2MIT-IBM Watson AI Lab; 2MIT-IBM Watson AI Lab, 5Goethe University; 4Dartmouth College
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: (Application) Computer Vision;(Application) Privacy;Anonymity;and Security;Multi-task and Transfer Learning
Decision: Poster
Title: Can Language Models Solve Graph Problems in Natural Language?
Authors: Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
Affiliations: University of Washington; Xi’an Jiaotong University; University of Notre Dame
Conference: nips 2023 (main track)
Keywords: large language models;graph reasoning;structured reasoning
Decision: Spotlight
Title: Evaluating Open-QA Evaluation
Authors: Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang
Affiliations: Northeastern University, China; Fudan University, China; Zhejiang University, China; School of Engineering, Westlake University, China; Amazon AWS AI; School of Engineering, Westlake University, China
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Open-QA;Large Language Models;QA Evaluation
Decision: Poster
Title: MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection
Authors: Junho Song, Keonwoo Kim, Jeonglyul Oh, Sungzoon Cho
Affiliations: Seoul National University; Seoul National University, VRCREW Inc.
Conference: nips 2023 (main track)
Keywords: Multivariate time series;Anomaly detection
Decision: Poster
Title: Segment Everything Everywhere All at Once
Authors: Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
Affiliations: University of Wisconsin-Madison; Microsoft Research, Redmond; Microsoft Cloud & AI; HKUST
Conference: nips 2023 (main track)
Keywords: Generaic segmentation;interactive segmentation;referring segmentation;multi-modality prompting.
Decision: Poster
Title: Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
Authors: Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang
Affiliations: Cooperative Medianet Innovation Center, Shanghai Jiao Tong University; Shanghai AI Laboratory; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University; University of Southern California
Conference: nips 2023 (main track)
Keywords: Collaborative Perception; BEV Flow; Time Asynchronization
Decision: Poster
Title: Attacks on Online Learners: a Teacher-Student Analysis
Authors: Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti
Affiliations: International School for Advanced Studies, Trieste, Italy
Conference: nips 2023 (main track)
Keywords: Adversarial attacks;data poisoning;online learning;optimal control;teacher-student setup;solvable model
Decision: Poster
Title: Provably Safe Reinforcement Learning with Step-wise Violation Constraints
Authors: Nuoya Xiong, Yihan Du, Longbo Huang
Affiliations: University of Illinois at Urbana-Champaign; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: nips 2023 (main track)
Keywords: safe reinforcement learning;step-wise violation;reinforcement learning theory
Decision: Poster
Title: Learning to Tokenize for Generative Retrieval
Authors: Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten Rijke, Zhaochun Ren
Affiliations: Baidu Inc., China; University of Amsterdam, The Netherlands; Shandong University, China; Leiden University, The Netherlands
Conference: nips 2023 (main track)
Keywords: Information Retrieval;Document Retrieval;Generative Retrieval
Decision: Poster
Title: Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning
Authors: Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Affiliations: Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing, China; RIKEN Center for Advanced Intelligence Project; RIKEN Center for Advanced Intelligence Project, The University of Tokyo, Tokyo, Japan
Conference: nips 2023 (main track)
Keywords: Semi-supervised multi-label learning;pseudo labeling.
Decision: Poster
Title: Brain encoding models based on multimodal transformers can transfer across language and vision
Authors: Jerry Tang, Meng Du, Vy Vo, VASUDEV LAL, Alexander Huth
Affiliations: Intel Labs; Intel Labs, UCLA; UT Austin
Conference: nips 2023 (main track)
Keywords: fMRI;neuroscience;encoding models;multimodal transformers;language;vision
Decision: Poster
Title: Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
Authors: Dorian Baudry, Fabien Pesquerel, Rémy Degenne, Odalric-Ambrym Maillard
Affiliations: Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189-CRIStAL, F-59000 Lille, France; Ecole Polytechnique, CREST, Palaiseau, France
Conference: nips 2023 (main track)
Keywords: Multi-Armed Bandits
Decision: Poster
Title: Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
Authors: Abhinav Nippani, Dongyue Li, Haotian Ju, Haris Koutsopoulos, Hongyang Zhang
Affiliations: Northeastern University, Boston
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Graph Neural Networks;Road Safety;Transportation Networks
Decision: Poster
Title: Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
Authors: Xiran Fan, Chun-Hao Yang, Baba Vemuri
Affiliations: Department of Statistics, University of Florida; Department of CISE, University of Florida; Institute of Statistics and Data Science, National Taiwan University
Conference: nips 2023 (main track)
Keywords: Large-margin clssifier;Hyperbolic space;Horosphere;SVM;Geodesically convex;Global optimility;Busemann function
Decision: Poster
Title: ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
Authors: Pascal Notin, Aaron Kollasch, Daniel Ritter, Lood van Niekerk, Steffanie Paul, Han Spinner, Nathan Rollins, Ada Shaw, Rose Orenbuch, Ruben Weitzman, Jonathan Frazer, Mafalda Dias, Dinko Franceschi, Yarin Gal, Debora Marks
Affiliations: Harvard Medical School, Broad Institute; Applied Mathematics, Harvard University; Computer Science, University of Oxford; Centre for Genomic Regulation, Universitat Pompeu Fabra; Seismic Therapeutic; Systems Biology, Harvard Medical School
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Protein fitness;Protein design;Mutation effects prediction;Benchmarks
Decision: Poster
Title: PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Authors: Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar
Affiliations: Stanford University & NVIDIA Research; Princeton University; Harvard University & NVIDIA Research; NVIDIA Research
Conference: nips 2023 (main track)
Keywords: Conformal Prediction;PAC Bayes;Generalization Theory
Decision: Poster
Title: Expressive Sign Equivariant Networks for Spectral Geometric Learning
Authors: Derek Lim, Joshua Robinson, Stefanie Jegelka, Haggai Maron
Affiliations: Stanford University; MIT CSAIL; Technion, NVIDIA; TU Munich, MIT CSAIL
Conference: nips 2023 (main track)
Keywords: Eigenvectors;spectral;geometry;universal approximation;graph;equivariance;invariance
Decision: Spotlight
Title: Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks
Authors: Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy
Affiliations: Imperial College London, U.K.; University of Bristol, U.K.
Conference: nips 2023 (main track)
Keywords: dynamic networks;representation learning;spectral methods
Decision: Poster
Title: Model-enhanced Vector Index
Authors: Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin CUI
Affiliations: Aerospace Information Research Institute & Key Laboratory of Target Cognition and Application Technology, Chinese Academy of Sciences; Carnegie Mellon University; Institute of Information Engineering, Chinese Academy of Sciences; National University of Singapore; Microsoft; School of Computer Science & Key Lab of High Confidence Software Technologies, Peking University
Conference: nips 2023 (main track)
Keywords: document retrieval;model-based index;dense retrieval;residual quantization
Decision: Poster