hunoutl/paperlists huggingface dataset:
Title: E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
Authors: Xiuhong Lin, Changjie Qiu, zhipeng cai, Siqi Shen, Yu Zang, Weiquan Liu, Xuesheng Bian, Matthias Müller, Cheng Wang
Affiliations: Key Laboratory of Multimedia Trusted Perception and Efficient Computing, XMU, China.; Yancheng Institute Of Technology, China.; Fujian Key Lab of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University (XMU), China.; Intel Labs.; Apple Inc.
Conference: nips 2023 (main track)
Keywords: event camera;2D-3D registration;representation learning
Decision: Poster
Title: OBJECT 3DIT: Language-guided 3D-aware Image Editing
Authors: Oscar Michel, Anand Bhattad, Eli VanderBilt, Ranjay Krishna, Aniruddha Kembhavi, Tanmay Gupta
Affiliations: University of Illinois Urbana-Champaign; Allen Institute for Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: computer vision;image editing;generative modeling;diffusion models;3D
Decision: Poster
Title: Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
Authors: Moritz Haas, David Holzmüller, Ulrike Luxburg, Ingo Steinwart
Affiliations: Institute for Stochastics and Applications, University of Stuttgart, Germany; University of Tübingen and Tübingen AI Center, Germany
Conference: nips 2023 (main track)
Keywords: benign overfitting;kernels;neural tangent kernel;consistency;learning theory
Decision: Poster
Title: DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
Authors: Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu
Affiliations: University of York; Southern University of Science and Technology; City University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Trajectory Generation;Diffusion Model;Urban Computing;Spatial-temporal Data Mining
Decision: Poster
Title: Model-Based Control with Sparse Neural Dynamics
Authors: Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Fei-Fei Li, Jiajun Wu, Yunzhu Li
Affiliations: Stanford University; University of Illinois Urbana-Champaign; Cornell University; Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: model learning;model-based control;neural network sparsification;mixed-integer programming;trajectory optimization
Decision: Poster
Title: Covariance-adaptive best arm identification
Authors: El Mehdi Saad, Gilles Blanchard, Nicolas Verzelen
Affiliations: Mistea, INRAE, Institut Agro, Université de Montpellier, Montpellier, France; Université Paris-Saclay, CentraleSupéléc, Laboratoire des Signaux et Systèmes, Paris, France; Institut de Mathématique d’Orsay, Université Paris-Saclay, Paris, France
Conference: nips 2023 (main track)
Keywords: Multi-armed bandits;Best-arm identification;Adaptive identification
Decision: Poster
Title: CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes
Authors: Xiaohan Wang, Yuehu Liu, Xinhang Song, Beibei Wang, Shuqiang Jiang
Affiliations: Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University; Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Science
Conference: nips 2023 (main track)
Keywords: Embodied AI;Interactive Navigation;Causal Reinforcement Learning;Hierarchical Reinforcement Learning
Decision: Poster
Title: Expressivity-Preserving GNN Simulation
Authors: Author
Affiliations: Machine Learning Research Unit, TU Wien, Vienna, Austria; Machine Learning Research Unit, Center for Artificial Intelligence and Machine Learning, TU Wien, Vienna, Austria
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;GNNs;Graphs;Message Passing;Expressiveness;Graph Transformations;Message Passing Graph Neural Networks
Decision: Poster
Title: Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
Authors: Martijn De Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-marie Kermarrec, Rafael Pires, Rishi Sharma
Affiliations: EPFL, Switzerland
Conference: nips 2023 (main track)
Keywords: Epidemic;Decentralized Learning;Randomized Communication;Peer sampling
Decision: Poster
Title: Canonical normalizing flows for manifold learning
Authors: Kyriakos Flouris, Ender Konukoglu
Affiliations: Department of Information Technology and Electrical Engineering, ETH Zürich
Conference: nips 2023 (main track)
Keywords: manifold learning flows;normalizing flows;optimization;orthogonalization;sparsity;sparse learning;generative modeling;Riemannian manifold;geometry;metric tensor;orthogonal basis
Decision: Poster
Title: Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
Authors: Alexander Meulemans, Simon Schug, Seijin Kobayashi, nathaniel daw, Gregory Wayne
Affiliations: Department of Computer Science, ETH Zürich; Google DeepMind; Google DeepMind, Princeton Neuroscience Institute, Princeton University, Department of Psychology, Princeton University
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;Long-term credit assignment;contribution analysis;hindsight credit assignment;policy gradient methods
Decision: Spotlight
Title: Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
Authors: Brian Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Affiliations: MIT; DEIB, Politecnico di Milano; Bocconi University; Carnegie Mellon University; Carnegie Mellon University, Strategic Machine, Inc., Strategy Robot, Inc., Optimized Markets, Inc.
Conference: nips 2023 (main track)
Keywords: extensive-form games;deep reinforcement learning;mechanism design;correlated equilibria
Decision: Poster
Title: Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
Authors: Xinli Yue, Mou Ningping, Qian Wang, Lingchen Zhao
Affiliations: Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China
Conference: nips 2023 (main track)
Keywords: Deep Learning;Knowledge Distillation;Adversarial Training;Fairness
Decision: Poster
Title: What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
Authors: Fnu Suya, Xiao Zhang, Yuan Tian, David Evans
Affiliations: University of Virginia; CISPA Helmholtz Center for Information Security; University California Los Angeles
Conference: nips 2023 (main track)
Keywords: poisoning attacks; adversarial machine learning; machine learning security
Decision: Poster
Title: SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks
Authors: Rainer Engelken
Affiliations: Zuckerman Mind Brain Behavior Institute, Columbia University, New York, USA; Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany; Göttingen Campus Institute for Dynamics of Biological Networks, Göttingen, Germany
Conference: nips 2023 (main track)
Keywords: spiking networks;event-based simulation;sparse networks;backpropagation;algorithm;neuroscience
Decision: Poster
Title: Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers
Authors: Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Pan
Affiliations: Chandra Department of Electrical and Computer Engineering, The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Transformer;Normalization;Layer Normalization;RMSNorm;Efficient Machine Learning
Decision: Spotlight
Title: Thin and deep Gaussian processes
Authors: Daniel Augusto de Souza, Alexander Nikitin, ST John, Magnus Ross, Mauricio A Álvarez, Marc Deisenroth, João Paulo Gomes, Diego Mesquita, César Lincoln Mattos
Affiliations: University of Manchester; Getulio Vargas Foundation; University College London; Aalto University; Federal University of Ceará
Conference: nips 2023 (main track)
Keywords: Gaussian Processes;Deep Gaussian Processes;non-stationary kernels
Decision: Poster
Title: Online List Labeling with Predictions
Authors: Samuel McCauley, Ben Moseley, Aidin Niaparast, Shikha Singh
Affiliations: Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA 15213; Department of Computer Science, Williams College, Williamstown, MA 01267
Conference: nips 2023 (main track)
Keywords: Algorithms with Predictions;Data Structures;Learned Indices;Online List Labeling;Resource Allocation;Beyond Worst Case Analysis
Decision: Spotlight
Title: Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Authors: Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji
Affiliations: Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843
Conference: nips 2023 (main track)
Keywords: deep learning;graph neural network;out-of-distribution generalization;distribution shift
Decision: Poster
Title: A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Authors: Matthew Bendel, Rizwan Ahmad, Philip Schniter
Affiliations: Dept. BME, The Ohio State University, Columbus, OH 43210; Dept. ECE, The Ohio State University, Columbus, OH 43210; Dept. ECE, The Ohio State University, Columbus, OH 43201
Conference: nips 2023 (main track)
Keywords: Generative adversarial network;inverse problems;posterior sampling;cGAN;GAN
Decision: Poster
Title: CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
Authors: Sihan Xu, Ziqiao Ma, Yidong Huang, Honglak Lee, Joyce Chai
Affiliations: University of Michigan; University of Michigan, LG AI Research
Conference: nips 2023 (main track)
Keywords: Image to image translation;latent diffusion models;conditional diffusion models
Decision: Poster
Title: Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
Authors: Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael Mahoney, Amir Gholami
Affiliations: Lawrence Berkeley National Lab; ICSI, UC Berkeley; ICSI, LBNL, and Department of Statistics; UC Berkeley
Conference: nips 2023 (main track)
Keywords: scientific machine learning;scaling;transfer learning;neural operators;foundation models
Decision: Poster
Title: One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Authors: Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
Affiliations: Department of Data Science, EURECOM, France
Conference: nips 2023 (main track)
Keywords: Generative Models;Normalizing Flows;Variational Autoencoders
Decision: Poster
Title: A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence
Authors: Carlo Alfano, Rui Yuan, Rui Yuan, Patrick Rebeschini
Affiliations: Stellantis, France∗; Department of Statistics, University of Oxford
Conference: nips 2023 (main track)
Keywords: Theory for Reinforcement Learning;Policy Optimization;Policy Gradient;Mirror Descent.
Decision: Poster
Title: Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Authors: Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati
Affiliations: Department of Computer Science, Colorado State University, Fort Collins, CO 80523; School of Computing & AI, Arizona State University, Tempe, AZ 85281
Conference: nips 2023 (main track)
Keywords: LLMs;Planning;Domain Model;LLMs for Planning;LLMs for Heuristic Guidance
Decision: Poster
Title: (Amplified) Banded Matrix Factorization: A unified approach to private training
Authors: Christopher A. Choquette-Choo, Arun Ganesh, Ryan McKenna, H. Brendan McMahan, John Rush, Abhradeep Guha Thakurta, Zheng Xu
Affiliations: Google DeepMind; Google Research
Conference: nips 2023 (main track)
Keywords: Machine Learning;Differential Privacy;Optimization;Private Machine Learning;Federated Learning;Privacy Amplification;Matrix Factorization
Decision: Poster
Title: A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
Authors: QIANQIAN SHEN, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
Affiliations: Texas A&M University; Texas A&M University, Institute of Collaborative Innovation, University of Macau; Zhejiang Lab; UC-Irvine
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Instance Detection;Segment Anything;Object Detection;Cut-Paste-Learn;Dataset;Multi-View Object Capture
Decision: Poster
Title: Real3D-AD: A Dataset of Point Cloud Anomaly Detection
Authors: Jiaqi Liu, Guoyang Xie, Ruitao Chen, Xinpeng Li, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng
Affiliations: Tencent Youtu Lab, Shenzhen 518057, China; Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; Tencent Youtu Lab, Shenzhen 518057, China; Shanghai Jiao Tong University, Shanghai 200240, China; Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; NICE Group, University of Surrey, Guildford, GU2 7YX, United Kingdom
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Anomaly Detection;Industrial Image;Defect Detection;Computer Vision
Decision: Poster
Title: New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
Authors: Cornelius Brand, Robert Ganian, Mathis Rocton
Affiliations: Algorithms & Complexity Group, Vienna University of Technology, Favoritenstraße 9-11, 1040 Vienna, Austria
Conference: nips 2023 (main track)
Keywords: neural network training;computational complexity;ReLU networks;Linear networks
Decision: Poster
Title: Implicit variance regularization in non-contrastive SSL
Authors: Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke
Affiliations: Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; Faculty of Science, University of Basel, Basel, Switzerland
Conference: nips 2023 (main track)
Keywords: Self-supervised learning;Non-contrastive learning;Learning dynamics
Decision: Poster
Title: P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting
Authors: Sungwon Kim, Kevin Shih, rohan badlani, Joao Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro
Affiliations: Interdisciplinary Program in Artificial Intelligence, Seoul National University; NVIDIA; NVIDIA, Department of Electrical and Computer Engineering, Seoul National University
Conference: nips 2023 (main track)
Keywords: text-to-speech;zero-shot TTS;flow matching generative model
Decision: Poster
Title: Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
Authors: Alistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers
Affiliations: Technical University of Munich, Potsdam Institute for Climate Impact Research; Technical University of Munich, Potsdam Institute for Climate Impact Research, University of Exeter; Technical University of Munich, Hemholtz AI, Munich
Conference: nips 2023 (main track)
Keywords: neural differential equations;neural ordinary differential equations;constraints;conservation laws;stabilization;dynamical systems;dynamics;scientific machine learning;physics-informed machine learning
Decision: Poster
Title: Optimized Covariance Design for AB Test on Social Network under Interference
Authors: Qianyi Chen, Bo Li, Lu Deng, Yong Wang
Affiliations: School of Economics and Management, Tsinghua University, China; Tencent Inc., Shenzhen, China
Conference: nips 2023 (main track)
Keywords: AB test;interference;causal inference;optimization;social network
Decision: Poster
Title: Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio
Authors: Xudong XU, Dejan Markovic, Jacob Sandakly, Todd Keebler, Steven Krenn, Alexander Richard
Affiliations: Meta Reality Labs Research; Shanghai AI Laboratory
Conference: nips 2023 (main track)
Keywords: sound field;spatial audio;virtual humans;human body;body modeling
Decision: Spotlight
Title: Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
Authors: Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, FangYuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun
Affiliations: University of Chinese Academy of Sciences; University of Illinois Urbana-Champaign; NLP Group, DCST, IAI, BNRIST, Tsinghua University, Beijing; Tencent
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: NLP;OOD Robustness;Large Language Models
Decision: Poster
Title: Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
Authors: Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Elliott / Shangzhe Wu, Jiajun Wu
Affiliations: Stanford University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Inverse Rendering;3D Objects;BRDF
Decision: Poster
Title: $S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput
Authors: Yunho Jin, Chun-Feng Wu, David Brooks, Gu-Yeon Wei
Affiliations: Harvard University; National Yang Ming Chiao Tung University
Conference: nips 2023 (main track)
Keywords: Throughput;GPU utilization;Sequence length prediction
Decision: Poster
Title: Unpaired Multi-Domain Causal Representation Learning
Authors: Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler
Affiliations: Technical University of Munich, Munich Center for Machine Learning; LIDS, Massachusetts Institute of Technology, Broad Institute of MIT and Harvard
Conference: nips 2023 (main track)
Keywords: linear structural equation models;causality;representation learning;independent component analysis;structure identifiability;multiple views;graphical model
Decision: Spotlight
Title: Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
Authors: Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang
Affiliations: Department of Statistics, University of California, Berkeley; Department of Statistics, Rutgers University - New Brunswick
Conference: nips 2023 (main track)
Keywords: Adaptive linear regression;bandit algorithms;high dimensional statistics;statistical inference
Decision: Poster
Title: Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
Authors: Qinghua Liu, Gellert Weisz, András György, Chi Jin, Csaba Szepesvari
Affiliations: Google DeepMind and University of Alberta; Princeton University; Google DeepMind
Conference: nips 2023 (main track)
Keywords: Theory of reinforcement learning;policy optimization
Decision: Spotlight
Title: ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
Authors: Aashaka Desai, Lauren Berger, Fyodor Minakov, Nessa Milano, Chinmay Singh, Kriston Pumphrey, Richard Ladner, Hal Daumé III, Alex X Lu, Naomi Caselli, Danielle Bragg
Affiliations: Boston University; University of Washington; Microsoft Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Sign Language;Dataset;Crowdsourcing;Video Classification;Isolated Sign recognition;Dictionary Retrieval
Decision: Poster
Title: Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction
Authors: Ruoyu Li, Qing Li, Yu Zhang, Dan Zhao, Yong Jiang, Yong Yang
Affiliations: Tencent Security Platform Department, China; Tsinghua Shenzhen International Graduate School, China; Peng Cheng Laboratory, China; Tsinghua University, China; Tsinghua University, China; Peng Cheng Laboratory, China
Conference: nips 2023 (main track)
Keywords: unsupervised anomaly detection;global explanation;rule extraction
Decision: Poster
Title: Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
Authors: Çağlar Hızlı, ST John, Anne Juuti, Tuure Saarinen, Kirsi Pietiläinen, Pekka Marttinen
Affiliations: Helsinki University Hospital and University of Helsinki; Dept. of Computer Science, Aalto University
Conference: nips 2023 (main track)
Keywords: Machine learning for healthcare;Causal mediation;Gaussian process;Point Process
Decision: Poster
Title: Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
Authors: Leonidas Tsepenekas, Ivan Brugere, Freddy Lecue, Daniele Magazzeni
Affiliations: JPMorganChase AI Research, New York, USA; JPMorganChase AI Research, London, UK
Conference: nips 2023 (main track)
Keywords: individual fairness; similarity learning; active learning
Decision: Poster
Title: Curriculum Learning With Infant Egocentric Videos
Authors: Saber Sheybani, Himanshu Hansaria, Justin Wood, Linda Smith, Zoran Tiganj
Affiliations: Department of Psychological and Brain Sciences, Indiana University Bloomington; Department of Computer Science, Indiana University Bloomington; Department of Informatics, Indiana University Bloomington; Department of Intelligent Systems Engineering, Indiana University Bloomington
Conference: nips 2023 (main track)
Keywords: Curriculum learning;Self-supervised learning;Slow changes;Infant development
Decision: Spotlight
Title: Scalable Fair Influence Maximization
Authors: Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
Affiliations: Microsoft Research Asia, Beijing, China; Lehigh University, Bethlehem, PA, USA; China University of Mining and Technology, Xuzhou, Jiangsu, China
Conference: nips 2023 (main track)
Keywords: influence maximization;approximation algorithm;social fairness
Decision: Poster
Title: An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition
Authors: Quan Xiao, Songtao Lu, Songtao Lu, Tianyi Chen
Affiliations: IBM Research, Yorktown Heights, NY, USA; Rensselaer Polytechnic Institute, Troy, NY, USA
Conference: nips 2023 (main track)
Keywords: Bilevel optimization;nonconvex constrained optimization;convergence analysis
Decision: Poster
Title: Optimizing over trained GNNs via symmetry breaking
Authors: Shiqiang Zhang, Juan Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener
Affiliations: Imperial College London, London, UK; BASF SE, Ludwigshafen, Germany
Conference: nips 2023 (main track)
Keywords: Mixed-integer optimization;Graph neural network;Symmetry-breaking;Molecular design
Decision: Poster
Title: Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
Authors: Jaeyeon Kim, Asuman Ozdaglar, Chanwoo Park, Ernest Ryu
Affiliations: MIT EECS; Seoul National University
Conference: nips 2023 (main track)
Keywords: Convex Optimization;Acceleration;First-Order methods
Decision: Poster
Title: Active Learning for Semantic Segmentation with Multi-class Label Query
Authors: Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak
Affiliations: Pohang University of Science and Technology (POSTECH), South Korea
Conference: nips 2023 (main track)
Keywords: semantic segmentation; active learning; partial label learning
Decision: Poster
Title: Towards Personalized Federated Learning via Heterogeneous Model Reassembly
Authors: Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan (DK) Xu, Fenglong Ma
Affiliations: North Carolina State University; National University of Singapore; Sony AI; The Pennsylvania State University
Conference: nips 2023 (main track)
Keywords: Federated Learning
Decision: Poster
Title: The Crucial Role of Normalization in Sharpness-Aware Minimization
Authors: Yan Dai, Kwangjun Ahn, Suvrit Sra
Affiliations: EECS, MIT; IIIS, Tsinghua University; TU Munich / MIT
Conference: nips 2023 (main track)
Keywords: Sharpness-Aware Minimization;Normalization;Deep Learning Theory
Decision: Poster
Title: Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
Authors: Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; Shenzhen Institute of Artificial Intelligence and Robotics for Society, China; School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China
Conference: nips 2023 (main track)
Keywords: Backdoor Attack;Trustworthy AI;Backdoor Learning
Decision: Poster