hunoutl/paperlists huggingface dataset:
Title: Self-supervised Object-Centric Learning for Videos
Authors: Görkay Aydemir, Weidi Xie, Fatma Guney
Affiliations: Department of Computer Engineering, Koç University, KUIS AI Center; CMIC, Shanghai Jiao Tong University, Shanghai AI Laboratory
Conference: nips 2023 (main track)
Keywords: Unsupervised Object Discovery;Unsupervised Video Object Segmentation;Object-Centric Learning;Unsupervised Video Multi Object Segmentation
Decision: Poster
Title: UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
Authors: Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang
Affiliations: OPPO Research Institute, Shenzhen, China; Sony AI, Japan; College of Computer Science, Zhejiang University, Hangzhou, China
Conference: nips 2023 (main track)
Keywords: recommendation unlearning;machine unlearning;recommender systems;ensemble learning
Decision: Poster
Title: Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
Authors: Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang
Affiliations: Department of CSE, Washington University in St. Louis; Institute for Artificial Intelligence, Peking University
Conference: nips 2023 (main track)
Keywords: Cycle counting;graph neural networks
Decision: Spotlight
Title: Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression
Authors: Jing Xu, Jiaye Teng, Yang Yuan, Andrew Yao
Affiliations: IIIS, Tsinghua University, Shanghai Artificial Intelligence Laboratory, Shanghai Qi Zhi Institute; IIIS, Tsinghua University
Conference: nips 2023 (main track)
Keywords: data-algorithm dependent generalization analysis;overparameterized linear regression
Decision: Poster
Title: Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration
Authors: Dongyoung Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
Affiliations: KAIST (Now at Dyson Robot Learning Lab); KAIST; UC Berkeley
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;State Entropy;Exploration
Decision: Poster
Title: Generalization bounds for neural ordinary differential equations and deep residual networks
Authors: Pierre Marion, Pierre Marion
Affiliations: Sorbonne Université, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, F-75005 Paris, France
Conference: nips 2023 (main track)
Keywords: residual neural networks;neural ODEs;generalization bound
Decision: Poster
Title: Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion
Authors: Ethan Pronovost, Meghana Reddy Ganesina, Noureldin Hendy, Zeyu Wang, Andres Morales, Kai Wang, Nick Roy
Affiliations: Zoox
Conference: nips 2023 (main track)
Keywords: Deep Learning;(Other) Applications;(Other) Machine Learning Topics
Decision: Poster
Title: AmadeusGPT: a natural language interface for interactive animal behavioral analysis
Authors: Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie Mathis
Affiliations: EPFL, Geneva, CH
Conference: nips 2023 (main track)
Keywords: ChatGPT;GPT3.5;GPT4;behavioral analysis;LLMs;human-AI interaction;behavioral neuroscience
Decision: Poster
Title: Accelerating Motion Planning via Optimal Transport
Authors: An T. Le, Georgia Chalvatzaki, Armin Biess, Jan Peters
Affiliations: Department of Computer Science, Technische Universitat Darmstadt, Germany; Hessian.AI; Centre for Cognitive Science; Center for Mind, Brain and Behavior, Uni. Marburg and JLU Giessen, Germany; Department of Computer Science, Technische Universitat Darmstadt, Germany; Department of Computer Science, Technische Universitat Darmstadt, Germany; German Research Center for AI (DFKI); Hessian.AI; Centre for Cognitive Science; German Research Center for AI (DFKI)
Conference: nips 2023 (main track)
Keywords: Motion Planning;Trajectory Optimization;Optimal Transport
Decision: Poster
Title: ADGym: Design Choices for Deep Anomaly Detection
Authors: Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
Affiliations: DAMO Academy, Alibaba Group; Carnegie Mellon University; AI Lab, Shanghai University of Finance and Economics; AI Lab, Shanghai University of Finance and Economics; MoE Key Laboratory of Interdisciplinary Research of Computation and Economics
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: anomaly detection;outlier detection;benchmark;model selection;automated machine learning
Decision: Poster
Title: Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
Authors: Zhen Liu, ma peitian, Dongliang Chen, Wenbin Pei, Qianli Ma
Affiliations: Dalian University of Technology, Dalian, China; South China University of Technology, Guangzhou, China
Conference: nips 2023 (main track)
Keywords: time series classification;deep neural networks;noisy labels
Decision: Poster
Title: Spike-driven Transformer
Authors: Man Yao, Man Yao, JiaKui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li
Affiliations: Peking University, Beijing, China; Institute of Automation, Chinese Academy of Sciences, Beijing, China
Conference: nips 2023 (main track)
Keywords: Spiking Neural Networks; Transformer; Neuromorphic Computing; Event-driven; Linear Attention
Decision: Poster
Title: Optimal Transport-Guided Conditional Score-Based Diffusion Model
Authors: Xiang Gu, Liwei Yang, Jian Sun, Zongben Xu
Affiliations: School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China; Pazhou Laboratory (Huangpu), Guangzhou, China; Peng Cheng Laboratory, Shenzhen, China; School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China
Conference: nips 2023 (main track)
Keywords: optimal transport;diffusion probabilistic model;conditional score-based model;unpaired super-resolution;image-to-image translation
Decision: Poster
Title: Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks
Authors: Haoyi Duan, Yan Xia, Zhou Mingze, Li Tang, Jieming Zhu, Zhou Zhao
Affiliations: Zhejiang University, Shanghai Artificial Intelligence Laboratory; Huawei Noah’s Ark Lab; Zhejiang University
Conference: nips 2023 (main track)
Keywords: audio-visual;multi-modal prompt;clip;cross-modal attention
Decision: Poster
Title: Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization
Authors: Aniket Murhekar, Zhuowen Yuan, Bhaskar Ray Chaudhury, Bo Li, Ruta Mehta
Affiliations: University of Illinois, Urbana-Champaign
Conference: nips 2023 (main track)
Keywords: Federated learning;Nash equilibrium;Mechanism design;Welfare maximization
Decision: Poster
Title: Robust Learning with Progressive Data Expansion Against Spurious Correlation
Authors: Yihe Deng, Yu Yang, Baharan Mirzasoleiman, Quanquan Gu
Affiliations: Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
Conference: nips 2023 (main track)
Keywords: spurious correlation;robustness;robust learning
Decision: Poster
Title: Test-time Training for Matching-based Video Object Segmentation
Authors: Juliette Bertrand, Giorgos Kordopatis Zilos, Yannis Kalantidis, Giorgos Tolias
Affiliations: NA VER LABS Europe; VRG, FEE, Czech Technical University in Prague
Conference: nips 2023 (main track)
Keywords: VOS;video object segmentation;test-time training;test-time adaptation
Decision: Poster
Title: Intervention Generalization: A View from Factor Graph Models
Authors: Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva
Affiliations: Department of Statistical Science, University College London; Department of Computer Science, University College London; Department of Informatics, King’s College London
Conference: nips 2023 (main track)
Keywords: Causality;experimental design
Decision: Poster
Title: Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
Authors: Taiji Suzuki, Denny Wu, Atsushi Nitanda
Affiliations: New York University, Flatiron Institute; RIKEN AIP, Kyushu Institute of Technology; University of Tokyo, RIKEN AIP
Conference: nips 2023 (main track)
Keywords: mean-field regime;interacting particle system;propagation of chaos;Neural network optimization;MMD minimization
Decision: Spotlight
Title: EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis
Authors: Dragos Georgian Corlatescu, Alexandru Dinu, Mihaela Petruta Gaman, Paul Sumedrea
Affiliations: CrowdStrike
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: similarity search;leaf similarity;boosting algorithms;tree-based methods;binary files;malware;static analysis;cybersecurity
Decision: Poster
Title: LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation
Authors: Jiajun Tang, Haofeng Zhong, Shuchen Weng, Boxin Shi
Affiliations: National Key Laboratory for Multimedia Information Processing, National Engineering Research Center of Visual Technology, School of Computer Science, Peking University
Conference: nips 2023 (main track)
Keywords: Illumination;Image Generation;Conditional Image Repainting
Decision: Poster
Title: Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models
Authors: Andrew Luo, Maggie Henderson, Leila Wehbe, Michael Tarr
Affiliations: Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: neuroscience;brain;fmri;generative models;diffusion models;image synthesis;visual cortex
Decision: Oral
Title: Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Authors: Noah Hollmann, Samuel Müller, Frank Hutter
Affiliations: University of Freiburg, Charité Hospital Berlin, Prior Labs; University of Freiburg, Prior Labs
Conference: nips 2023 (main track)
Keywords: AutoML;AutoDS;Automated Feature Engineering;LLM Code Generation;Tabular Data;Feature Engineering;Automated Data Science;Automated Machine Learning
Decision: Poster
Title: Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
Authors: Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint Center for ML, Tsinghua University, Beijing, China.
Conference: nips 2023 (main track)
Keywords: Continual Learning;Catastrophic Forgetting;Pre-training;Prompt Tuning
Decision: Spotlight
Title: Generating QM1B with PySCF$_{\text{IPU}}$
Authors: Alexander Mathiasen, Hatem Helal, Kerstin Klaser, Paul Balanca, Josef Dean, Carlo Luschi, Dominique Beaini, Andrew Fitzgibbon, Dominic Masters
Affiliations: Mila - Québec AI Institute; Graphcore
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: create;density functional theory;dataset;quantum chemistry;molecules;deep learning
Decision: Poster
Title: Learning threshold neurons via edge of stability
Authors: Kwangjun Ahn, Sebastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Felipe Suarez, Yi Zhang
Affiliations: MIT EECS, Cambridge, MA; Institute for Advanced Study, Princeton, NJ; Carnegie Mellon University, Pittsburgh, PA; Microsoft Research, Redmond, WA
Conference: nips 2023 (main track)
Keywords: Gradient descent;edge of stability;generalization
Decision: Poster
Title: Diffusion Representation for Asymmetric Kernels via Magnetic Transform
Authors: Mingzhen He, FAN He, Ruikai Yang, Xiaolin Huang
Affiliations: Department of Electrical Engineering (ESAT-STADIUS), KU Leuven, Leuven, Belgium; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China
Conference: nips 2023 (main track)
Keywords: Asymmetric kernels;diffusion maps;magnetic transform;dimension reduction
Decision: Poster
Title: Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
Authors: Dongjie Wang, Meng Xiao, Min Wu, pengfei wang, Yuanchun Zhou, Yanjie Fu
Affiliations: Institute for Infocomm Research, A*STAR; School of Computing and AI, Arizona State University; CNIC, CAS, University of CAS; Department of CS, University of Central Florida
Conference: nips 2023 (main track)
Keywords: Feature Transformation;Autoregressive Generation;Continuous Space Optimization
Decision: Spotlight
Title: DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
Authors: Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua University, Beijing, China; Shengshu Technology, Beijing; Pazhou Lab (Huangpu), Guangzhou, China; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua University, Beijing, China
Conference: nips 2023 (main track)
Keywords: diffusion models;fast sampling;ODE solver
Decision: Poster
Title: Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
Authors: Guangyu Shen, Siyuan Cheng, Guanhong Tao, Kaiyuan Zhang, Yingqi Liu, Shengwei An, Shiqing Ma, Shiqing Ma, Xiangyu Zhang
Affiliations: Purdue University; University of Massachusetts at Amherst; Microsoft
Conference: nips 2023 (main track)
Keywords: backdoor detection; object detection;
Decision: Poster
Title: Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones
Authors: Asanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian, Tarin Clanuwat
Affiliations: Université Clermont Auvergne, ISIMA, France; National Institute of Informatics, Japan; National Institute of Informatics, Japan; Typhoon Science and Technology Research Center, Yokohama National University, Japan; Grenoble-INP, Ensimag, France; National Institute of Informatics, Japan; University of Southern California, USA; National Institute of Informatics, Japan; Google DeepMind
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: meteorology;typhoon;tropical cyclone;climate;satellite image;dataset
Decision: Spotlight
Title: OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Authors: Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li
Affiliations: Zhejiang University; AI Lab, Research Center for Industries of the Future, Westlake University; Xidian University; AI Lab, Research Center for Industries of the Future, Westlake University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: spatio-temporal predictive learning;self-supervised learning;computer vision
Decision: Poster
Title: Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation
Authors: Yun Xing, Jian Kang, Aoran Xiao, Jiahao Nie, Ling Shao, Shijian Lu
Affiliations: Nanyang Technological University; UCAS-Terminus AI Lab, UCAS, China
Conference: nips 2023 (main track)
Keywords: language-supervised semantic segmentation;vision-language pre-training
Decision: Poster
Title: Hypervolume Maximization: A Geometric View of Pareto Set Learning
Authors: Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang
Affiliations: Department of Computer Science, City University of Hong Kong; City University of Hong Kong Shenzhen Research Institute.; Departments of Mathematics and Computer Science, Hong Kong Baptist University.
Conference: nips 2023 (main track)
Keywords: multiobjective optimization;multitask learning;hypervolume maximization;Pareto set learning
Decision: Poster
Title: RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection
Authors: Yeqi BAI, Ben Fei, Youquan Liu, Tao MA, Yuenan Hou, Botian Shi, Yikang LI
Affiliations: Shanghai AI Laboratory, Fudan University; Shanghai AI Laboratory; Shanghai AI Laboratory, Multimedia Laboratory, The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: 3D Detection;Autonomous Driving
Decision: Poster
Title: Low-shot Object Learning with Mutual Exclusivity Bias
Authors: Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote, James Rehg
Affiliations: Georgia Institute of Technology; Georgia Institute of Technology, University of Illinois, Urbana-Champaign; Google Deepmind; University of Illinois, Urbana-Champaign
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: low-shot learning;self-supervised learning;object learning;mutual exclusivity bias
Decision: Poster
Title: Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
Authors: Jia-Xing Zhong, Ta-Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
Affiliations: Department of Computer Science, University of Oxford
Conference: nips 2023 (main track)
Keywords: Dynamic Point Cloud Analytics;Multi-body Motion
Decision: Poster
Title: Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
Authors: Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour
Affiliations: Cornell University; Google DeepMind; Google Cloud AI Research
Conference: nips 2023 (main track)
Keywords: Distribution shift;Spurious correlation;Group robustness
Decision: Poster
Title: Geometric Transformer with Interatomic Positional Encoding
Authors: Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu
Affiliations: Microsoft Research AI4Science; Microsoft Research AI4Science, Mila - Québec AI Institute, Université de Montréal; National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artiﬁcial Intelligence and Robotics, Xi’an Jiaotong University
Conference: nips 2023 (main track)
Keywords: Geometric Deep Learning;Molecular Modeling;Positional Encoding
Decision: Poster
Title: NeRF-IBVS: Visual Servo Based on NeRF for Visual Localization and Navigation
Authors: Yuanze Wang, Yichao Yan, Dianxi Shi, Wenhan Zhu, Jianqiang Xia, Tan Jeff, Songchang Jin, KE GAO, XIAOBO LI, XIAOBO LI, Xiaokang Yang
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; Alibaba Group; Tianjin Artificial Intelligence Innovation Center; Intelligent Game and Decision Lab (IGDL), Beijing, China
Conference: nips 2023 (main track)
Keywords: NeRF;Image-Based Visual Servoing (IBVS);visual localization;visual navigation
Decision: Poster
Title: Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Authors: Beier Zhu, Kaihua Tang, QIANRU SUN, Hanwang Zhang
Affiliations: Nanyang Technological University; Singapore Management University
Conference: nips 2023 (main track)
Keywords: Foundation Model;Class Bias;Generalized Logit Adjustment
Decision: Poster
Title: Dynamic Regret of Adversarial Linear Mixture MDPs
Authors: Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, China; School of Artificial Intelligence, Nanjing University, China
Conference: nips 2023 (main track)
Keywords: dynamic regret;adversarial MDPs;linear mixture MDPs;policy optimization
Decision: Poster
Title: Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
Authors: Yutong He, Xinmeng Huang, Kun Yuan
Affiliations: Peking University; Peking University, National Engineering Laboratory for Big Data Analytics and Applications, AI for Science Institute, Beijing, China; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: Communication Compression;Distributed Optimization;Unbiased Compression;Optimal Complexity
Decision: Poster
Title: MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
Authors: Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
Affiliations: Stability AI; German Research Center for Artificial Intelligence (DFKI), Computer Science Department, TU Darmstadt, Hessian.AI, LAION; Aleph Alpha; University of Texas; German Research Center for Artificial Intelligence (DFKI), Computer Science Department, TU Darmstadt, Hessian.AI; German Research Center for Artificial Intelligence (DFKI), Computer Science Department, TU Darmstadt; German Research Center for Artificial Intelligence (DFKI), Computer Science Department, TU Darmstadt, Centre for Cognitive Science, TU Darmstadt; Aleph Alpha, German Research Center for Artificial Intelligence (DFKI), Computer Science Department, TU Darmstadt
Conference: nips 2023 (main track)
Keywords: diffusion;image generation;multimodal
Decision: Poster
Title: Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points
Authors: Valentino Delle Rose, Alexander Kozachinskiy, Cristobal Rojas, Mircea Petrache, Pablo Barceló
Affiliations: Instituto de Ingeniería Matemática y Computacional, Universidad Católica de Chile; Centro Nacional de Inteligencia Artificial, Chile; Instituto Milenio Fundamentos de los Datos, Chile; Centro Nacional de Inteligencia Artificial, Chile; Instituto de Ingeniería Matemática y Computacional, Universidad Católica de Chile; Departamento de Matemática, Universidad Católica de Chile; Centro Nacional de Inteligencia Artificial, Chile; Instituto de Ingeniería Matemática y Computacional, Universidad Católica de Chile
Conference: nips 2023 (main track)
Keywords: euclidean graphs;point clouds;WL test;graph neural networks
Decision: Poster
Title: k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy
Authors: Chenglin Fan, Ping Li, Xiaoyun Li
Affiliations: Cognitive Computing Lab, Baidu Research, 10900 NE 8th St. Bellevue, WA 98004, USA
Conference: nips 2023 (main track)
Keywords: privacy;clustering
Decision: Poster
Title: Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Authors: Filip Ekström Kelvinius, Dimitar Georgiev, Artur Toshev, Johannes Gasteiger
Affiliations: Linköping University; Technical University of Munich; Google Research; Imperial College London
Conference: nips 2023 (main track)
Keywords: GNN;graph neural networks;knowledge distillation;molecules;molecular simulations
Decision: Poster
Title: Tuning Multi-mode Token-level Prompt Alignment across Modalities
Authors: Dongsheng Wang, Miaoge Li, Xinyang Liu, MingSheng Xu, Bo Chen, Hanwang Zhang
Affiliations: School of Electronic Engineering, Xidian University, Xi’an, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: Multi-modal prompt learning; Optimal transport
Decision: Poster
Title: Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
Authors: Yankun Huang, Qihang Lin
Affiliations: Department of Business Analytics, University of Iowa, Iowa City, IA 52242
Conference: nips 2023 (main track)
Keywords: Constrained optimization;first-order method;non-smooth optimization;non-convex optimization
Decision: Poster
Title: Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration
Authors: Zhihan Liu, Miao Lu, WEI XIONG, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
Affiliations: University of Illinois Urbana-Champaign; Peking University; Yale University; Tsinghua University; Stanford University; Northwestern University
Conference: nips 2023 (main track)
Keywords: reinforcement learning; online learning; game
Decision: Spotlight
Title: Combinatorial Group Testing with Selfish Agents
Authors: Georgios Chionas, Dariusz Kowalski, Piotr Krysta
Affiliations: Department of Computer Science, University of Liverpool, Liverpool, United Kingdom; School of Computer and Cyber Sciences, Augusta University, Augusta, Georgia, USA and Computer Science Department, University of Liverpool, U.K.; School of Computer and Cyber Sciences, Augusta University, Augusta, Georgia, USA
Conference: nips 2023 (main track)
Keywords: Combinatorial Group Testing;Adversarial Equilibrium;Contention Resolution;selfish agents;learning time;adaptive learning algorithms
Decision: Poster