hunoutl/paperlists huggingface dataset:
Title: Connecting Multi-modal Contrastive Representations
Authors: Zehan Wang, Yang Zhao, Xize 成, Haifeng Huang, Jiageng Liu, Aoxiong Yin, Li Tang, Linjun Li, Yongqi Wang, Ziang Zhang, Zhou Zhao
Affiliations: Shanghai AI Laboratory; Zhejiang University; ByteDance
Conference: nips 2023 (main track)
Keywords: multi-modal;representation learning;contrastive learning
Decision: Poster
Title: Leveraging sparse and shared feature activations for disentangled representation learning
Authors: Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello
Affiliations: Amazon AWS; IST Austria; Sapienza, University of Rome
Conference: nips 2023 (main track)
Keywords: disentanglement;OOD generalization;multitask learning
Decision: Spotlight
Title: QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
Authors: Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic
Affiliations: Department of Physics, University of Illinois, Urbana-Champaign, Urbana, IL 61801, USA; Illinois Quantum Information Science and Technology Center; Illinois Center for Advanced Studies of the Universe; Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Physics, Harvard University, Cambridge, MA 02138, USA; The NSF AI Institute for Artificial Intelligence and Fundamental Interactions; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Conference: nips 2023 (main track)
Keywords: Koopman operator;quantum optimization;machine learning
Decision: Spotlight
Title: Towards Label Position Bias in Graph Neural Networks
Authors: Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu Aggarwal, Jiliang Tang
Affiliations: North Carolina State University; Amazon; Michigan State University; IBM T.J. Watson Research Center; TigerGraph
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Label Position Bias;Graph Structure Learning
Decision: Poster
Title: Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
Authors: Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher
Affiliations: National University of Singapore; University of Warwick; EPFL, Switzerland
Conference: nips 2023 (main track)
Keywords: overparameterized neural network;privacy
Decision: Poster
Title: EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
Authors: Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo
Affiliations: The University of Hong Kong, Shanghai AI Laboratory; Noah’s Ark Laboratory; The University of Hong Kong; Shanghai AI Laboratory; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Embodied AI;Multi-modal Foundation Model;Embodied Control
Decision: Spotlight
Title: “Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization
Authors: Shuang Li, Ke Li, Wei Li
Affiliations: Control and Simulation Center, Harbin Institute of Technology, China; National Key Laboratory of Modeling and Simulation for Complex Systems, China.; Department of Computer Science, University of Exeter, EX4 4RN, Exeter, UK.
Conference: nips 2023 (main track)
Keywords: Bayesian Optimization;Termination Criterion;Looking Backward
Decision: Poster
Title: Task-aware world model learning with meta weighting via bi-level optimization
Authors: Huining Yuan, Hongkun Dou, Xingyu Jiang, Yue Deng
Affiliations: School of Astronautics, Beihang University, Beijing, China
Conference: nips 2023 (main track)
Keywords: Model-based reinforcement learning;world model;generative model;meta-learning;bi-level optimization
Decision: Poster
Title: DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein
Authors: Daiwen Sun, He Huang, Yao Li, Xinqi Gong, Qiwei Ye
Affiliations: Beijing Academy of Artificial Intelligence, Beijing, China; Institute for Mathematical Sciences, School of Mathematics, Renmin University of China, Beijing, China; Beijing Academy of Artificial Intelligence, Beijing, China; School of Life Sciences, Tsinghua University, Beijing, China; Institute for Mathematical Sciences, School of Mathematics, Renmin University of China, Beijing, China
Conference: nips 2023 (main track)
Keywords: Protein molecular dynamics;Protein surface representation;Implicit neural representation;Signed distance function;Continuous time modeling
Decision: Poster
Title: HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
Authors: Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
Affiliations: Dalian University of Technology, Dalian, China; Zhejiang Lab, Hangzhou, China; The Pennsylvania State University, Pennsylvania, USA; Peking University, Beijing, China
Conference: nips 2023 (main track)
Keywords: High-quality adversarial example;Black-box hard-label textual adversarial attack
Decision: Poster
Title: Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games
Authors: Hedi Hadiji, Sarah Sachs, Tim van Erven, Wouter Koolen
Affiliations: Korteweg-de Vries Institute for Mathematics, University of Amsterdam; Centrum Wiskunde & Informatica and University of Twente; Laboratoire des signaux et systèmes, Univ. Paris-Saclay, CNRS, CentraleSupélec
Conference: nips 2023 (main track)
Keywords: game theory;minimax optimization;lower bounds
Decision: Poster
Title: Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering
Authors: Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne, Bill Byrne
Affiliations: Department of Engineering, University of Cambridge, Cambridge, United Kingdom CB2 1PZ
Conference: nips 2023 (main track)
Keywords: knowledge-based visual question answering;knowledge retrieval;multi-modality;vision-and-language
Decision: Poster
Title: Optimization or Architecture: How to Hack Kalman Filtering
Authors: Ido Greenberg, Netanel Yannay, Shie Mannor
Affiliations: ELTA Systems; Technion; Technion, Nvidia Research
Conference: nips 2023 (main track)
Keywords: non-linear filtering;Kalman filter;noise estimation;optimization;Cholesky parameterization
Decision: Poster
Title: Intriguing Properties of Quantization at Scale
Authors: Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Zhen Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker
Affiliations: Cohere For AI; Cohere For AI, University of Toronto & the Vector Institute for Artificial Intelligence; Cohere
Conference: nips 2023 (main track)
Keywords: Quantization;optimization;language modelling;efficiency
Decision: Poster
Title: Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
Authors: Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas Li, Bohan Zhuang, Mingkui Tan
Affiliations: South China University of Technology, Pazhou Lab, Key Laboratory of Big Data and Intelligent Robot, Ministry of Education; South China University of Technology, Pazhou Lab; ZIP Lab, Monash University; Peking University Shenzhen Graduate School; South China University of Technology
Conference: nips 2023 (main track)
Keywords: Image Super-resolution;Test-time Adaptation;Self-supervised Learning;Second-Order Degradation
Decision: Poster
Title: ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction
Authors: Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig
Affiliations: Radiology, Stanford University; Electrical Engineering and Computer Sciences, University of California, Berkeley
Conference: nips 2023 (main track)
Keywords: Inverse problem;MRI;Medical Imaging;Computational Imaging;Deep Learning;Off-Resonance
Decision: Poster
Title: Stochastic Approximation Approaches to Group Distributionally Robust Optimization
Authors: Lijun Zhang, Peng Zhao, Zhen-Hua Zhuang, Tianbao Yang, Zhi-Hua Zhou
Affiliations: Department of Computer Science and Engineering, Texas A&M University, College Station, USA; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2023 (main track)
Keywords: Group distributionally robust optimization;Stochastic mirror descent;Non-oblivious online learning;Sample complexity;Stochastic mirror-prox algorithm;Mini-batch
Decision: Poster
Title: NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation
Authors: Wei Zheng, Cheng Peng, Zeyuan Hou, Boyu Lyu, Mengfan Wang, Xuelong Mi, Shuoxuan Qiao, Yinan Wan, Guoqiang Yu
Affiliations: Biozentrum, University of Basel; Dept. of Electrical and Computer Engineering, Virginia Tech
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: benchmark;image segmentation;embryonic nuclei image;3D;fluorescent
Decision: Poster
Title: Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games
Authors: Zihan Zhu, Ethan Fang, Zhuoran Yang
Affiliations: Department of Statistics and Data Science, Yale University; Department of Statistical Science, Duke University; Department of Biostatistics and Bioinformatics, Duke University
Conference: nips 2023 (main track)
Keywords: Performative Prediction;Nash Equilibrium;Reproducing Kernel Hilbert Space;Online Learning;Stochastic Gradient Methods
Decision: Poster
Title: Benchmarking Foundation Models with Language-Model-as-an-Examiner
Authors: Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, Jiayin Zhang, Juanzi Li, Lei Hou
Affiliations: University of California, Los Angeles, CA, USA; Singapore Management University, Singapore; Beijing University of Posts and Telecommunications, Beijing, China; Tsinghua University, Beijing, China
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Question answering;Automatic evaluation;Decentralized evaluation
Decision: Poster
Title: On the Adversarial Robustness of Out-of-distribution Generalization Models
Authors: Xin Zou, Weiwei Liu
Affiliations: School of Computer Science, Wuhan University; National Engineering Research Center for Multimedia Software, Wuhan University; Institute of Artiﬁcial Intelligence, Wuhan University; Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University
Conference: nips 2023 (main track)
Keywords: Adversarial Robustness;Out-of-distribution Generalization
Decision: Poster
Title: StableFDG: Style and Attention Based Learning for Federated Domain Generalization
Authors: Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher Brinton, Jaekyun Moon
Affiliations: KAIST; Purdue University; SK Hynix; IBM Research
Conference: nips 2023 (main track)
Keywords: Federated Learning;Domain Generalization
Decision: Poster
Title: Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
Authors: Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang
Affiliations: Department of Control Science and Engineering, Harbin Institute of Technology; School of Mathematics, Harbin Institute of Technology
Conference: nips 2023 (main track)
Keywords: Adversarial Attacks; Generative Attack; Transferable Targeted Attack
Decision: Poster
Title: SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization
Authors: Songtao Lu, Songtao Lu
Affiliations: IBM Research, Thomas J. Watson Research Center, Yorktown Heights, NY 10598
Conference: nips 2023 (main track)
Keywords: Functional constrained optimization;bilevel optimization;primal dual method;Lagrangian method
Decision: Poster
Title: Skill-it! A data-driven skills framework for understanding and training language models
Authors: Mayee Chen, Nicholas Roberts, Kush Bhatia, Jue WANG, Ce Zhang, Ce Zhang, Frederic Sala, Christopher Ré
Affiliations: Stanford University; Together AI, University of Chicago; University of Wisconsin-Madison; Together AI
Conference: nips 2023 (main track)
Keywords: language models;data selection
Decision: Spotlight
Title: GEO-Bench: Toward Foundation Models for Earth Monitoring
Authors: Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vazquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
Affiliations: Mila-Quebec; MIT; Technical University of Munich; ServiceNow Research; Clark University; Stanford University; ETH Zurich; Arizona State University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: computer vision;earth monitoring;earth observation;dataset;benchmark
Decision: Poster
Title: Emergent and Predictable Memorization in Large Language Models
Authors: Stella Biderman, USVSN PRASHANTH, Lintang Sutawika, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, Edward Raff
Affiliations: University of Maryland, Baltimore County; Stability AI; Ohio State University; EleutherAI; Yale University; Booz Allen Hamilton
Conference: nips 2023 (main track)
Keywords: large language model;emergent properties;memorization
Decision: Poster
Title: Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes
Authors: Walter Gerych, Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Elke A. Rundensteiner, Emmanuel Agu
Affiliations: Worcester Polytechnic Institute, Worcester, MA; King Saud University, Riyadh, Saudi Arabia
Conference: nips 2023 (main track)
Keywords: generative models;generative modeling;bias;GANs;debiasing
Decision: Poster
Title: Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models
Authors: Chirag Raman, Alec Nonnemaker, Amelia Villegas-Morcillo, Hayley Hung, Marco Loog
Affiliations: Delft University of Technology, Delft, The Netherlands
Conference: nips 2023 (main track)
Keywords: Probabilistic Forecasting;Saliency;Explainability;XAI;Probabilistic Regression
Decision: Poster
Title: Model-free Posterior Sampling via Learning Rate Randomization
Authors: Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard
Affiliations: ENS Lyon; CMAP, École Polytechnique; Duisburg-Essen University; HSE University; Google DeepMind; IDEMIA
Conference: nips 2023 (main track)
Keywords: reinforcement learning;exploration;q-learning
Decision: Poster
Title: Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
Authors: Jimmy Di, Jack Douglas, Jayadev Acharya, Gautam Kamath, Ayush Sekhari
Affiliations: Cornell University; Massachusetts Institute of Technology; University of Waterloo, Vector Institute; University of Waterloo
Conference: nips 2023 (main track)
Keywords: Machine unlearning;new attack vector;Camouflaging poisoning attacks
Decision: Poster
Title: A Unified Approach to Count-Based Weakly Supervised Learning
Authors: Vinay Shukla, Zhe Zeng, Kareem Ahmed, Guy Van den Broeck
Affiliations: Department of Computer Science, University of California, Los Angeles
Conference: nips 2023 (main track)
Keywords: weakly supervised learning;constraint;label proportion;learning from positive and unlabeled data;multiple instance learning
Decision: Poster
Title: Assumption violations in causal discovery and the robustness of score matching
Authors: Francesco Montagna, Atalanti Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, Francesco Locatello
Affiliations: German Cancer Research Center (DKFZ); Institute of Science and Technology Austria (ISTA); AWS; University of Chicago; MaLGa, Università di Genova; MaLGa, Università di Genova, MIT, CBMM, Istituto Italiano di Tecnologia
Conference: nips 2023 (main track)
Keywords: Causal discovery; empirical study; robust inference; benchmark
Decision: Poster
Title: Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
Authors: Weijie Gan, shirin shoushtari, Yuyang Hu, Jiaming Liu, Hongyu An, Ulugbek Kamilov
Affiliations: Washington University in St. Louis
Conference: nips 2023 (main track)
Keywords: inverse problems;plug-and-play priors;computational imaging;nonconvex optimization
Decision: Poster
Title: Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
Authors: Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Affiliations: Google
Conference: nips 2023 (main track)
Keywords: conditional computation;inference efficiency;parameter efficiency;large models
Decision: Poster
Title: SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration
Authors: JINGYANG XIANG, Siqi Li, Jun Chen, Guang Dai, Shipeng Bai, Yukai Ma, Yong Liu
Affiliations: State Grid Corporation of China; APRIL Lab, Zhejiang University, Hangzhou, China
Conference: nips 2023 (main track)
Keywords: Soft Uniform Block Pruning;Block Angular Redundancy;Hardware Acceleration
Decision: Poster
Title: Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
Authors: Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard Chen, Zihao Deng, Nicholas Allen, Randy Auerbach, Faisal Mahmood, Russ Salakhutdinov, Louis-Philippe Morency
Affiliations: Columbia University; CMU; CMU, Columbia University; Harvard Medical School, Brigham and Women’s Hospital; University of Oregon; CMU, Princeton University; CMU, UW; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: multimodal learning;feature interactions;partial information decomposition;information theory;quantification;model selection
Decision: Poster
Title: Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds
Authors: Taira Tsuchiya, Shinji Ito, Junya Honda
Affiliations: Kyoto University / RIKEN; The University of Tokyo; NEC Corporation / RIKEN
Conference: nips 2023 (main track)
Keywords: follow-the-regularized-leader;adaptive learning rate;multi-armed bandits;partial monitoring;data-dependent bound;sparsity;game-dependency;best-of-both-worlds
Decision: Poster
Title: Kernel Quadrature with Randomly Pivoted Cholesky
Authors: Ethan Epperly, Elvira Moreno
Affiliations: Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125
Conference: nips 2023 (main track)
Keywords: kernel quadrature;Nyström approximation;reproducing kernel Hilbert space;randomly pivoted Cholesky
Decision: Spotlight
Title: Glance and Focus: Memory Prompting for Multi-Event Video Question Answering
Authors: Ziyi Bai, Ruiping Wang, Xilin Chen
Affiliations: Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China
Conference: nips 2023 (main track)
Keywords: Video Question Answering; Multi-Event Reasoning; Spatial-Temporal Reasoning
Decision: Poster
Title: Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization
Authors: Thomas FEL, Thibaut Boissin, Victor Boutin, Agustin PICARD, Paul Novello, Julien Colin, Drew Linsley, Tom ROUSSEAU, Remi Cadene, Lore Goetschalckx, Laurent Gardes, Thomas Serre
Affiliations: Carney Institute for Brain Science, Brown University; Innovation & Research Division, SNCF; Institut de Recherche Technologique Saint-Exupery
Conference: nips 2023 (main track)
Keywords: explainable AI;feature visualization;interpretability;optimization
Decision: Poster
Title: Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents
Authors: Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, brian ichter
Affiliations: Stanford University; Google Deepmind, UC Berkeley; Google Deepmind; UC Berkeley
Conference: nips 2023 (main track)
Keywords: robotics;language models;embodied agents
Decision: Poster
Title: Deep Non-line-of-sight Imaging from Under-scanning Measurements
Authors: Yue Li, Yueyi Zhang, Juntian Ye, Feihu Xu, Zhiwei Xiong
Affiliations: University of Science and Technology of China
Conference: nips 2023 (main track)
Keywords: Non-line-of-sight imaging;Transient Recovery;Volume Reconstruction
Decision: Poster
Title: Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data
Authors: Alon Albalak, Colin Raffel, William Yang Wang
Affiliations: University of California, Santa Barbara; University of Toronto, Vector Institute
Conference: nips 2023 (main track)
Keywords: Few-shot learning;natural language processing;few shot learning;NLP;multi-armed bandit;multi armed bandit
Decision: Poster
Title: Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
Authors: Ambar Pal, Jeremias Sulam, Rene Vidal
Affiliations: Johns Hopkins University; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: Adversarial Robustness;Geometry in Data;Low Dimensional Modeling
Decision: Poster
Title: Partial Multi-Label Learning with Probabilistic Graphical Disambiguation
Authors: Jun-Yi Hang, Min-Ling Zhang
Affiliations: School of Computer Science and Engineering, Southeast University, Nanjing 210096, China; Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China
Conference: nips 2023 (main track)
Keywords: Machine learning;multi-label learning;partial multi-label learning;label disambiguation
Decision: Poster
Title: GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
Authors: Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky
Affiliations: Stanford University; Runway; Princeton University; Meta AI
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Crowdsourcing;geodiversity
Decision: Poster
Title: DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Authors: Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen
Affiliations: Zhejiang University, China; Show Lab, National University of Singapore; Zhejiang University, China; Ant Group; University of Chinese Academy of Sciences, China
Conference: nips 2023 (main track)
Keywords: Diffusion Model; Text-guided dataset generation
Decision: Poster
Title: Simple, Scalable and Effective Clustering via One-Dimensional Projections
Authors: Moses Charikar, Monika Henzinger, Lunjia Hu, Maximilian Vötsch, Erik Waingarten
Affiliations: Department of Computer and Information Sciences, University of Pennsylvania, Philadelphia, PA, ewaingar@seas.upenn.edu; Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria, monika.henzinger@ist.ac.at; Stanford University, Stanford, CA, moses@cs.stanford.edu; Stanford University, Stanford, CA, lunjia@stanford.edu; Faculty of Computer Science, Doctoral School of Computer Science DoCS Vienna, University of Vienna, Vienna, Austria, maximilian.voetsch@univie.ac.at
Conference: nips 2023 (main track)
Keywords: clustering;k-means;random projection;massive datasets
Decision: Poster
Title: Vocabulary-free Image Classification
Authors: Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci
Affiliations: Fondazione Bruno Kessler (FBK); University of Trento; University of Trento, Fondazione Bruno Kessler (FBK)
Conference: nips 2023 (main track)
Keywords: language and vision;zero-shot classification;image classification
Decision: Poster