hunoutl/paperlists huggingface dataset:
Title: Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
Authors: Martin Ryner, Jan Kronqvist, Johan Karlsson
Affiliations: Division of Numerical Analysis, Optimization and Systems Theory, Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden; Vironova AB, Stockholm, Sweden; Division of Numerical Analysis, Optimization and Systems Theory, Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden
Conference: nips 2023 (main track)
Keywords: Gromov-Wasserstein problem;QAP;Global optimization
Decision: Poster
Title: Unsupervised Learning for Solving the Travelling Salesman Problem
Authors: Yimeng Min, Yiwei Bai, Carla Gomes
Affiliations: Dept. of Computer Science, Cornell University, Ithaca, NY, USA
Conference: nips 2023 (main track)
Keywords: Combinatorial Optimization;Graph Neural Network;Travelling Salesman Problem
Decision: Poster
Title: DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
Authors: Bowen Gao, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan
Affiliations: Department of Pharmaceutical Science, Peking University; Institute of Automation, Chinese Academy of Sciences; School of Life Sciences, Tsinghua University; Department of Pharmaceutical Science, Tsinghua University; Institute for AI Industry Research (AIR), Tsinghua University; Beijing Academy of Artificial Intelligence; Institute for AI Industry Research (AIR), Tsinghua University
Conference: nips 2023 (main track)
Keywords: Application;Drug Discovery;Representation Learning;Dataset Augmentation
Decision: Poster
Title: Normalization Layers Are All That Sharpness-Aware Minimization Needs
Authors: Maximilian Mueller, Tiffany Vlaar, David Rolnick, Matthias Hein
Affiliations: University of Tübingen and Tübingen AI Center; McGill University and Mila - Quebec AI Institute
Conference: nips 2023 (main track)
Keywords: sharpness-aware minimization;flatness;generalization;normalization layers
Decision: Poster
Title: Adversarial Learning for Feature Shift Detection and Correction
Authors: Míriam Barrabés, Daniel Mas Montserrat, Margarita Geleta, Xavier Giró-i-Nieto, Alexander Ioannidis
Affiliations: Stanford University; University of California, Berkeley; Amazon; Stanford University, Universitat Politècnica de Catalunya
Conference: nips 2023 (main track)
Keywords: feature shift detection;distribution shift;shift;data-centric AI
Decision: Poster
Title: Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning
Authors: Stephen McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang, Tuomas Sandholm
Affiliations: Peking University; Carnegie Mellon University; MIT
Conference: nips 2023 (main track)
Keywords: PSRO;team games;TMECor;populations;equilibrium;game theory;RL
Decision: Poster
Title: Interactive Visual Reasoning under Uncertainty
Authors: Manjie Xu, Guangyuan Jiang, Wei Liang, Chi Zhang, Yixin Zhu
Affiliations: School of Computer Science & Technology, Beijing Institute of Technology; National Key Laboratory of General Artificial Intelligence, BIGAI; School of Computer Science & Technology, Beijing Institute of Technology; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, China; Institute for AI, Peking University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: visual reasoning;uncertainty;few-shot;interactive
Decision: Poster
Title: An information-theoretic quantification of the content of communication between brain regions
Authors: Marco Celotto, Jan Bím, Alejandro Tlaie, Vito De Feo, Alessandro Toso, Stefan Lemke, Daniel Chicharro, Hamed Nili, Malte Bieler, Ileana Hanganu-Opatz, Tobias Donner, Andrea Brovelli, Stefano Panzeri
Affiliations: Istituto Italiano di Tecnologia; University Medical Center Hamburg-Eppendorf; Datamole, Prague; University of Essex; City, University of London; Aix Marseille Université, CNRS; University Medical Center Hamburg-Eppendorf, Istituto Italiano di Tecnologia; University Medical Center Hamburg-Eppendorf, Istituto Italiano di Tecnologia, University of Bologna; University of North Carolina; University College Kristiania
Conference: nips 2023 (main track)
Keywords: Information transmission; Brain data analysis; Sensory processing; Partial information decomposition
Decision: Poster
Title: AutoGO: Automated Computation Graph Optimization for Neural Network Evolution
Authors: Mohammad Salameh, Keith Mills, Negar Hassanpour, Fred Han, Shuting Zhang, Wei Lu, Shangling Jui, CHUNHUA ZHOU, Fengyu Sun, Di Niu
Affiliations: Huawei Technologies Canada; Dept. ECE, University of Alberta; Huawei Kirin Solution, China
Conference: nips 2023 (main track)
Keywords: Neural Architecture Search;Optimization Framework;Performance Prediction
Decision: Poster
Title: The CLIP Model is Secretly an Image-to-Prompt Converter
Authors: Yuxuan Ding, Chunna Tian, Haoxuan Ding, Lingqiao Liu
Affiliations: School of Electronic Engineering, Xidian University, Xi’an 710071, China; Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710072, China; Australian Institute for Machine Learning, The University of Adelaide, Adelaide 5005, Australia
Conference: nips 2023 (main track)
Keywords: Diffusion Model;CLIP model;Image Variation;Customized Generation
Decision: Poster
Title: Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism
Authors: Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han
Affiliations: Huawei Noah’s Ark Lab
Conference: nips 2023 (main track)
Keywords: YOLO;object detection;computer vision
Decision: Poster
Title: Unlimiformer: Long-Range Transformers with Unlimited Length Input
Authors: Amanda Bertsch, Uri Alon, Graham Neubig, Matthew Gormley
Affiliations: Carnegie Mellon University, USA; Carnegie Mellon University, USA∗Now at Google DeepMind
Conference: nips 2023 (main track)
Keywords: retrieval augmentation;summarization;long-context;generation;long-input;encoder-decoder;transformers;language models;natural language generation;natural language processing;deep learning;neural networks
Decision: Poster
Title: On the Interplay between Social Welfare and Tractability of Equilibria
Authors: Ioannis Anagnostides, Tuomas Sandholm
Affiliations: Carnegie Mellon University, Strategic Machine, Inc., Strategy Robot, Inc., Optimized Markets, Inc.; Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: learning in games;optimistic gradient descent;Nash equilibrium;price of anarchy;smooth games;social welfare
Decision: Poster
Title: Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Authors: Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
Affiliations: Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea; Bio and Brain Engineering, Kim Jaechul Graduate School of AI, Brain and Cognitive Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
Conference: nips 2023 (main track)
Keywords: Diffusion model;Energy-based model;Text-to-image generation
Decision: Poster
Title: Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
Authors: Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li
Affiliations: Westlake University; Zhejiang University; Deep Potential
Conference: nips 2023 (main track)
Keywords: sturcture-based drug design; molecule generation; diffusion model
Decision: Poster
Title: Social Motion Prediction with Cognitive Hierarchies
Authors: Wentao Zhu, Jason Qin, Yuke Lou, Hang Ye, Xiaoxuan Ma, Hai Ci, Yizhou Wang
Affiliations: Center on Frontiers of Computing Studies, School of Computer Science, Peking University; Center on Frontiers of Computing Studies, School of Computer Science, Peking University; Institute for Artiﬁcial Intelligence, Peking University
Conference: nips 2023 (main track)
Keywords: multi-person motion prediction
Decision: Poster
Title: Extensible Prompts for Language Models on Zero-shot Language Style Customization
Authors: Tao Ge, Hu Jing, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei
Affiliations: Microsoft
Conference: nips 2023 (main track)
Keywords: large language model;prompt;imaginary words;OOD robustness;natural language;zero-shot
Decision: Poster
Title: Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
Authors: Feng Wang, Zilong Chen, Guokang Wang, Yafei Song, Huaping Liu
Affiliations: Alibaba Group; Beijing National Research Center for Information Science and Technology(BNRist), Department of Computer Science and Technology, Tsinghua University
Conference: nips 2023 (main track)
Keywords: NeRF;Dynamic Scenes
Decision: Spotlight
Title: Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Authors: Alexandre Rame, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor, Laure Soulier, Matthieu Cord
Affiliations: Sorbonne Université, CNRS, ISIR, Paris, France; Sorbonne Université, CNRS, ISIR, Paris, France; Meta AI; Sorbonne Université, CNRS, ISIR, Paris, France; Valeo.ai
Conference: nips 2023 (main track)
Keywords: Deep learning;Foundation models;Fine-tuning;Reward optimization;Linear mode connectivity;Weight averaging;Model soups;Robustness;Generalization;Alignment;Multi objective learning.
Decision: Poster
Title: Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
Authors: Yang Yang, Yuxuan Zhang, XIN SONG, Yi Xu
Affiliations: Nanjing University of Science and Technology; Dalian University of Technology; Baidu Talent Intelligence Center, Baidu Inc
Conference: nips 2023 (main track)
Keywords: Out-of-Distribution;Active Learning
Decision: Poster
Title: DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
Authors: Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V Le, Tengyu Ma, Adams Wei Yu
Affiliations: Stanford University; Google DeepMind
Conference: nips 2023 (main track)
Keywords: language models;pretraining;domain reweighting;data curation
Decision: Spotlight
Title: A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation
Authors: Qitao Zhao, Ce Zheng, Ce Zheng, Mengyuan Liu, Chen Chen
Affiliations: Robotics Institute, Carnegie Mellon University; Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School; Center for Research in Computer Vision, University of Central Florida
Conference: nips 2023 (main track)
Keywords: Human Pose Estimation; 2D-to-3D Lifting; Context-Aware
Decision: Poster
Title: A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
Authors: Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang
Affiliations: Google Research, UC Merced; Shanghai Jiao Tong University; Google Research
Conference: nips 2023 (main track)
Keywords: Semantic Correspondence;Diffusion Models;Vision Transformer;Representation
Decision: Poster
Title: CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations
Authors: Yazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song, Qiuchi Li, Jing Qin
Affiliations: China Mobile Communication Group Tianjin Co.; Zhengzhou University of Light Industry; The Hong Kong Polytechnic University, China Mobile Communication Group Tianjin Co., Zhengzhou University of Light Industry; The Hong Kong Polytechnic University; Copenhagen University; Bravura Solutions; The Chinese University of Hong Kong, Shenzhen, Shenzhen Research Institute of Big Data; IHPC and CFAR, Agency for Science, Technology and Research, Singapore; School of Computer Science and Technology, Beijing Institute of Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: multi-modal affection detection;conversation dataset;multi-task learning;deep learning;multi-modal fusion
Decision: Poster
Title: Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Authors: Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei
Affiliations: Massachusetts Institute of Technology; Salesforce Research; UC Berkeley
Conference: nips 2023 (main track)
Keywords: in-context learning;transformers;deep learning theory;learning theory
Decision: Oral
Title: Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction
Authors: Chih-Yu (Andrew) Lai, Fan-Keng Sun, Zhengqi Gao, Jeffrey H Lang, Duane Boning
Affiliations: Department of EECS, MIT, Cambridge, MA 02139
Conference: nips 2023 (main track)
Keywords: time series;anomaly detection;point anomalies;contextual anomalies;nominality score;induced anomaly score
Decision: Poster
Title: A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
Authors: Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, Ivan Dokmanić, David Belius
Affiliations: Department of Mathematics and Statistics, McMaster University and Vector Institute; Department of Mathematics and Computer Science, University of Basel; Faculty of Mathematics and Computer Science, UniDistance Suisse
Conference: nips 2023 (main track)
Keywords: Kernel;regression;bias-variance;generalization
Decision: Poster
Title: Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
Authors: Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo
Affiliations: Mila, Université de Montréal; UCSD; FAIR, Meta; UCSD, FAIR, Meta
Conference: nips 2023 (main track)
Keywords: self-supervised learning;privacy;data reconstruction;memorization
Decision: Poster
Title: A General Framework for Robust G-Invariance in G-Equivariant Networks
Authors: Sophia Sanborn, Sophia Sanborn, Nina Miolane
Affiliations: Department of Electrical and Computer Engineering, UC Santa Barbara
Conference: nips 2023 (main track)
Keywords: equivariance;group-equivariant cnns;invariance;pooling;convolutional neural networks
Decision: Poster
Title: Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
Authors: Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang, Michael Yip
Affiliations: University of California, Santa Barbara; University of California, San Diego
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Deep Reinforcement Learning;Sample Efficiency;Generalizability;Multi-Policy Decision Making;Multi-Policy Continuous Control
Decision: Poster
Title: Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
Authors: Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason Lee
Affiliations: New York University; Princeton University; University of Texas at Dallas; University of California, Berkeley
Conference: nips 2023 (main track)
Keywords: optimization;quadratic bandits;sample complexity;optimality
Decision: Poster
Title: LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting
Authors: Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, LEI BAI, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
Affiliations: University of Hong Kong; National University of Singapore; Zhejiang University; Hong Kong University of Science and Technology (Guangzhou); Shanghai AI Laboratory
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Traffic Forecasting Benchmark Dataset
Decision: Poster
Title: Robust Learning for Smoothed Online Convex Optimization with Feedback Delay
Authors: Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
Affiliations: University of California Riverside, Riverside, CA, USA; California Institute of Technology, Pasadena, CA, USA
Conference: nips 2023 (main track)
Keywords: Online optimization;competitive algorithm;switching cost
Decision: Poster
Title: ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Authors: Yingjun Du, Zehao Xiao, Shengcai Liao, Cees Snoek
Affiliations: Inception Institute of Artificial Intelligence; AIM Lab, University of Amsterdam
Conference: nips 2023 (main track)
Keywords: Meta-learning;few-shot learning;diffusion model;prototype
Decision: Poster
Title: SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
Authors: Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao
Affiliations: Alibaba Group; College of Computer Science and Technology, Zhejiang University; CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; School of Computer Science and Engineering, Nanyang Technological University; School of Software Technology, Zhejiang University
Conference: nips 2023 (main track)
Keywords: Domain Adaptation;Self-training;Graph Spectra
Decision: Poster
Title: K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing
Authors: Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang
Affiliations: Department of Biostatistics, School of Global Public Health, New York University; School of Statistics, KLATASDS-MOE, East China Normal University; Departments of Biostatistics, Statistics, Computer Science, and Genetics, The University of North Carolina at Chapel Hill; Business Division, New York University Shanghai
Conference: nips 2023 (main track)
Keywords: Conditional Independence testing;causal inference;conditional mutual information;k-nearest neighbor;conditional randomization test;conditional permutation test
Decision: Poster
Title: H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation
Authors: Yanjie Ze, Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu
Affiliations: Carnegie Mellon University; Renmin University of China; Shanghai Qi Zhi Institute; Shanghai AI Lab; Tsinghua University, IIIS
Conference: nips 2023 (main track)
Keywords: Visual Reinforcement Learning;Representation Learning;Dexterous Manipulation
Decision: Poster
Title: CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation
Authors: Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun
Affiliations: University of California, Los Angeles; Peking University; University of California, Santa Barbara
Conference: nips 2023 (main track)
Keywords: Dynamical System;Distribution Shift;Neural ODE;Graph Neural Network
Decision: Poster
Title: Spontaneous symmetry breaking in generative diffusion models
Authors: Gabriel Raya, Luca Ambrogioni
Affiliations: Jheronimus Academy of Data Science, Tilburg University; Radboud University, Donders Institute for Brain, Cognition and Behaviour
Conference: nips 2023 (main track)
Keywords: generative models;diffusion models;score-based generative models; symmetry-breaking
Decision: Poster
Title: DiffComplete: Diffusion-based Generative 3D Shape Completion
Authors: Ruihang Chu, Enze Xie, Shentong Mo, Shentong Mo, Zhenguo Li, Matthias Niessner, Chi-Wing Fu, Jiaya Jia
Affiliations: Huawei Noah’s Ark Lab; Technical University of Munich; SmartMore; MBZUAI; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: 3d shape completion;conditional generation;diffusion models
Decision: Poster
Title: StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Authors: Yinghao Aaron Li, Cong Han, Vinay Raghavan, Gavin Mischler, Nima Mesgarani
Affiliations: Columbia University
Conference: nips 2023 (main track)
Keywords: Speech Processing;Text-to-Speech;Diffusion Model;Large Language Model;Self-Supervised Speech Model;WavLM
Decision: Poster
Title: Efficient Hyper-parameter Optimization with Cubic Regularization
Authors: Zhenqian Shen, Hansi Yang, Yong Li, James Kwok, Quanming Yao
Affiliations: Department of Electronic Engineering, Tsinghua University, Beijing, China; Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, China
Conference: nips 2023 (main track)
Keywords: hyper-parameter optimization;cubic regularization
Decision: Poster
Title: Learning List-Level Domain-Invariant Representations for Ranking
Authors: Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
Affiliations: University of Massachusetts Amherst; University of Illinois Urbana-Champaign; Google Research
Conference: nips 2023 (main track)
Keywords: learning to rank;domain adaptation;text ranking
Decision: Spotlight
Title: Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Authors: Jiarong Xu, Renhong Huang, XIN JIANG, Yuxuan Cao, Carl Yang, Chunping Wang, YANG YANG
Affiliations: Fudan University; Lehigh University; Finvolution Group; Emory University; Zhejiang University
Conference: nips 2023 (main track)
Keywords: graph neural networks;pre-training
Decision: Poster
Title: A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
Authors: Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
Affiliations: Microsoft Research Asia; University of Birmingham; Central South University; Peking University; Université de Montréal; Lehigh University; Hong Kong University of Science and Technology; Microsoft
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Graph Representation Learning;Pretrained Language Models;Graph Neural Networks;Text-attributed Graphs
Decision: Poster
Title: Equivariant Adaptation of Large Pretrained Models
Authors: Arnab Kumar Mondal, Siba Smarak Panigrahi, Oumar Kaba, Sai Rajeswar Mudumba, Siamak Ravanbakhsh
Affiliations: Mila, McGill University; ServiceNow Research; ServiceNow Research; Mila, McGill University
Conference: nips 2023 (main track)
Keywords: deep learning;large pretrained models;symmetry;equivariance;group theory;computer vision;point clouds;foundation models
Decision: Poster
Title: Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
Authors: Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova
Affiliations: Yandex Research; Yandex Research, Skoltech; HSE University, Yandex Research
Conference: nips 2023 (main track)
Keywords: graph characteristics;homophily;heterophily;label informativeness;constant baseline;GNN
Decision: Poster
Title: Learning Motion Refinement for Unsupervised Face Animation
Authors: Jiale Tao, Shuhang Gu, Wen Li, Lixin Duan
Affiliations: School of Computer Science and Engineering, UESTC; Shenzhen Institute for Advanced Study, UESTC; School of Computer Science and Engineering, UESTC; Shenzhen Institute for Advanced Study, UESTC
Conference: nips 2023 (main track)
Keywords: Face animation;Motion refinement;Structure correlation
Decision: Poster
Title: Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
Authors: Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
Affiliations: Texas A&M University; Northeastern University
Conference: nips 2023 (main track)
Keywords: Multi Agent Reinforcement Learning;Markov Potential Games;Natural Policy Gradient;Nash Equilibrium
Decision: Poster
Title: Efficient Testable Learning of Halfspaces with Adversarial Label Noise
Authors: Ilias Diakonikolas, Daniel Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis
Affiliations: University of California, San Diego; University of Wisconsin, Madison; University of Texas, Austin
Conference: nips 2023 (main track)
Keywords: Machine Learning
Decision: Poster
Title: Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
Authors: Jan Schuchardt, Yan Scholten, Stephan Günnemann
Affiliations: Department of Computer Science & Munich Data Science Institute, Technical University of Munich
Conference: nips 2023 (main track)
Keywords: Adversarial robustness;Geometric machine learning;Equivariances;Robustness Certification;Graph neural networks
Decision: Poster