hunoutl/paperlists huggingface dataset:
Title: On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm
Authors: Qi CHEN, Changjian Shui, Ligong Han, Mario Marchand
Affiliations: McGill University; Rutgers University; Laval University
Conference: nips 2023 (main track)
Keywords: continual meta-learning; transfer learning; stability-plasticity dilemma;
Decision: Poster
Title: Crystal Structure Prediction by Joint Equivariant Diffusion
Authors: Rui Jiao, Wenbing Huang, Peijia Lin, Jiaqi Han, Pin Chen, Yutong Lu, Yang Liu
Affiliations: Stanford University; Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua University; National Supercomputer Center in Guangzhou, School of Computer Science and Engineering, Sun Yat-sen University; Gaoling School of Artificial Intelligence, Renmin University of China
Conference: nips 2023 (main track)
Keywords: crystal structure prediction;equivariant graph neural networks;diffusion generative models
Decision: Poster
Title: Off-Policy Evaluation for Human Feedback
Authors: Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
Affiliations: North Carolina State University. Raleigh, NC, USA; Duke University. Durham, NC, USA
Conference: nips 2023 (main track)
Keywords: Off-policy evaluation (OPE);Variational latent model for trajectory representation learning;Reinforcement learning and OPE for adaptive neurostimulation
Decision: Poster
Title: ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking
Authors: Yutong Kou, Jin Gao, Bing Li, Gang Wang, Weiming Hu, Yizheng Wang, Liang Li
Affiliations: State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), CASIA; People AI, Inc; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), CASIA; School of Artificial Intelligence, University of Chinese Academy of Sciences; School of Information Science and Technology, ShanghaiTech University; Beijing Institute of Basic Medical Sciences; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), CASIA; School of Artificial Intelligence, University of Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Visual tracking;non-uniform resizing;HVS-inspired processing
Decision: Spotlight
Title: Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
Authors: Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, Chenghui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
Affiliations: ; Parametrix.AI; Brown University; Georgia Institute of Technology; Massachusetts Institute of Technology; University of Cambridge; University of Maryland
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: environment; multi-agent; multi-task; reinforcement learning
Decision: Poster
Title: R-divergence for Estimating Model-oriented Distribution Discrepancy
Authors: Zhilin Zhao, Longbing Cao
Affiliations: Data Science Lab, School of Computing & DataX Research Centre, Macquarie University, Sydney, NSW 2109, Australia
Conference: nips 2023 (main track)
Keywords: non-IID;Distribution Discrepancy;Data Divergence;Two-sample Test
Decision: Poster
Title: Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
Authors: Zhimeng (Stephen) Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
Affiliations: Texas A&M University; Rice University; Samsung Electronics America
Conference: nips 2023 (main track)
Keywords: Model Weight Perturbation;fairness;distribution shift
Decision: Poster
Title: RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Authors: Sumedh Sontakke, Jesse Zhang, Séb Arnold, Karl Pertsch, Erdem Bıyık, Dorsa Sadigh, Chelsea Finn, Laurent Itti
Affiliations: University of California, Berkeley; Thomas Lord Department of Computer Science, University of Southern California; Thomas Lord Department of Computer Science, University of Southern California; University of California, Berkeley; Google Research; Stanford University
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Vision and Language Models
Decision: Poster
Title: AiluRus: A Scalable ViT Framework for Dense Prediction
Authors: Jin Li, Yaoming Wang, XIAOPENG ZHANG, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian
Affiliations: Shanghai Jiao Tong University; Huawei Cloud
Conference: nips 2023 (main track)
Keywords: vision transformer;dense prediction
Decision: Poster
Title: How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception
Authors: Dingkang Yang, Kun Yang, Yuzheng Wang, Jing Liu, Zhi Xu, Rongbin Yin, Peng Zhai, Lihua Zhang
Affiliations: Academy for Engineering and Technology, Fudan University; Cognition and Intelligent Technology Laboratory (CIT Lab); FAW (Nanjing) Technology Development Company Ltd; Academy for Engineering and Technology, Fudan University; Cognition and Intelligent Technology Laboratory (CIT Lab); Engineering Research Center of AI and Robotics, Ministry of Education; AI and Unmanned Systems Engineering Research Center of Jilin Province; Academy for Engineering and Technology, Fudan University
Conference: nips 2023 (main track)
Keywords: Collaborative perception;multi-agent communication
Decision: Poster
Title: Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
Authors: Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Affiliations: Beijing Institute of Technology; CMIC, Shanghai Jiao Tong University; Shanghai AI Laboratory; CUHK; CMIC, Shanghai Jiao Tong University; National University of Defense Technology
Conference: nips 2023 (main track)
Keywords: Weakly (Text-based) Open-Vocabulary Semantic Segmentation;Vision-Language Pretraining;Prototypical Knowledge
Decision: Poster
Title: NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
Authors: Yun Yi, Haokui Zhang, Rong Xiao, Nannan Wang, Xiaoyu Wang
Affiliations: Intellifusion; Northwestern Polytechnical University, Intellifusion; Xidian University; Xidian University, Intellifusion
Conference: nips 2023 (main track)
Keywords: Transformer;Graph Neural Network;neural network encoding;representation learning;neural architecture search;neural network deployment
Decision: Poster
Title: How to Scale Your EMA
Authors: Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb
Affiliations: Apple
Conference: nips 2023 (main track)
Keywords: Optimization;scaling rules;EMA;exponential moving average;self-supervised learning;pseudo-labelling;semi-supervised learning;BYOL;distillation;speech;vision
Decision: Spotlight
Title: Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization
Authors: Kaiyue Wen, Zhiyuan Li, Tengyu Ma
Affiliations: Stanford University; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Sharpness;Flatness;Generalization;Generalization Bound;SAM
Decision: Oral
Title: Data-Centric Learning from Unlabeled Graphs with Diffusion Model
Authors: Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
Affiliations: Snap Inc.; University of Notre Dame
Conference: nips 2023 (main track)
Keywords: Graph property prediction;Molecular property prediction;Diffusion model;Unlabeled data;Data augmentation;Transfer learning
Decision: Poster
Title: Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
Authors: Mircea Petrache, Shubhendu Trivedi
Affiliations: UC Chile, Fac. de Matemáticas, & Inst. de Ingeniería Matemática y Computacional, Av. Vicuña Mackenna 4860, Santiago, 6904441, Chile; shubhendu@csail.mit.edu
Conference: nips 2023 (main track)
Keywords: Equivariance;Invariance;Generalization;Equivariant Neural Networks;Approximation Error
Decision: Poster
Title: Statistically Valid Variable Importance Assessment through Conditional Permutations
Authors: Ahmad CHAMMA, Denis Engemann, Bertrand Thirion
Affiliations: Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland; Inria, Universite Paris Saclay, CEA
Conference: nips 2023 (main track)
Keywords: Interpretability;Variable Importance;Machine Learning;Deep Learning;Statistical Inference
Decision: Poster
Title: Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
Authors: Matthias Gerstgrasser, Tom Danino, Sarah Keren
Affiliations: The Taub Faculty of Computer Science, Technion - Israel Institute of Technology; School of Engineering and Applied Sciences, Harvard University; Computer Science Department, Stanford University
Conference: nips 2023 (main track)
Keywords: multi-agent reinforcement learning;reinforcement learning;deep q learning;cooperative ai
Decision: Poster
Title: Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
Authors: Mengfan Xu, Diego Klabjan
Affiliations: Department of Industrial Engineering and Management Sciences, Northwestern University
Conference: nips 2023 (main track)
Keywords: decentralized multi-agent MAB;heterogeneous light-tailed and heavy-tailed rewards;time dependent random graphs
Decision: Spotlight
Title: Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
Authors: Carsten Lüth, Till Bungert, Lukas Klein, Paul Jaeger
Affiliations: German Cancer Research Center (DKFZ) Heidelberg, Helmholtz Imaging, Germany; German Cancer Research Center (DKFZ) Heidelberg, Interactive Machine Learning Group, Germany; German Cancer Research Center (DKFZ) Heidelberg, Helmholtz Imaging, Germany; Institute for Machine Learning, ETH Zürich, Switzerland
Conference: nips 2023 (main track)
Keywords: Active Learning;Evaluation;Study
Decision: Poster
Title: Gaussian Differential Privacy on Riemannian Manifolds
Authors: Yangdi Jiang, Xiaotian Chang, Yi Liu, Lei Ding, Linglong Kong, Bei Jiang
Affiliations: Department of Mathematical and Statistical Sciences, University of Alberta
Conference: nips 2023 (main track)
Keywords: Differential Privacy;Gaussian Differential Privacy;Differential Geometry;Riemannian Manifold;Homogeneous Riemannian Manifold;Frechet Mean
Decision: Poster
Title: The Impact of Positional Encoding on Length Generalization in Transformers
Authors: Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy
Affiliations: Mila, McGill University; Facebook CIFAR AI Chair; ServiceNow Research; IBM Research; Mila, McGill University
Conference: nips 2023 (main track)
Keywords: Transformers;Positional Encoding;Length Generalization
Decision: Poster
Title: Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
Authors: Leyla Biabani, Annika Hennes, Morteza Monemizadeh, Melanie Schmidt
Affiliations: Eindhoven University of Technology, Eindhoven, The Netherlands; Heinrich Heine University Düsseldorf, Düsseldorf, Germany
Conference: nips 2023 (main track)
Keywords: $k$-center clustering;outliers;dynamic algorithms
Decision: Poster
Title: Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
Authors: Connor Toups, Rishi Bommasani, Kathleen Creel, Sarah Bana, Dan Jurafsky, Percy Liang
Affiliations: Stanford University; Chapman University; Northeastern University
Conference: nips 2023 (main track)
Keywords: homogenous outcomes;societal impact of ML;deployed ML;systemic failure
Decision: Poster
Title: Curvature Filtrations for Graph Generative Model Evaluation
Authors: Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck
Affiliations: Helmholtz Munich & Technical University of Munich; University of Oxford; Imperial College London
Conference: nips 2023 (main track)
Keywords: Curvature;topology;persistent homology;graph learning;generative model;machine learning;geometric deep learning
Decision: Poster
Title: Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
Authors: Michael Bereket, Theofanis Karaletsos
Affiliations: insitro*; insitro⇤
Conference: nips 2023 (main track)
Keywords: Disentagled representation learning;VAE;generative models;sparse mechanism shift;perturbation modeling;cellular modeling
Decision: Poster
Title: Federated Conditional Stochastic Optimization
Authors: Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang
Affiliations: Computer Science, University of Virginia, Charlottesville, V A 22903; Computer Science, University of Maryland, College Park, MD 20742; Department of ECE, University of Pittsburgh, Pittsburgh, PA 15213
Conference: nips 2023 (main track)
Keywords: Federated Learning;Conditional Stochastic Optimization;Nonconvex Optimization
Decision: Poster
Title: Reward Imputation with Sketching for Contextual Batched Bandits
Authors: Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
Affiliations: Gaoling School of Artiﬁcial Intelligence, Renmin University of China, Beijing, China; Tencent Inc., Shenzhen, China
Conference: nips 2023 (main track)
Keywords: batched bandit;sketching;reward imputation;regret bound;ridge regression
Decision: Poster
Title: On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
Authors: Yicheng Li, haobo Zhang, Qian Lin
Affiliations: Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, Beijing, China; Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, Beijing, China; Beijing Academy of Artificial Intelligence, Beijing, China
Conference: nips 2023 (main track)
Keywords: generalization;reproducing kernel Hilbert space;bias-variance trade-off
Decision: Poster
Title: Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
Authors: Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
Affiliations: Beijing Academy of Artificial Intelligence; School of Computer Science, Peking University; School of Computer Science, Peking University and Beijing Academy of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: Learning from Observations;Offline Learning from Visual Observations;State-to-Go Transformer
Decision: Poster
Title: Video Timeline Modeling For News Story Understanding
Authors: Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong
Affiliations: Texas A&M University; Google
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Video Timeline Modeling;News Story;Datasets;Benchmark
Decision: Spotlight
Title: Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
Authors: Hao Li, Jingkuan Song, Lianli Gao, Xiaosu Zhu, Hengtao Shen
Affiliations: Center for Future Media, University of Electronic Science and Technology of China
Conference: nips 2023 (main track)
Keywords: multimodal learning;cross-modal retrieval;robust learning;uncertainty
Decision: Poster
Title: Bandit Task Assignment with Unknown Processing Time
Authors: Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi
Affiliations: Tokyo Institute of Technology; RIKEN AIP; National Institute of Informatics, The University of Tokyo; Keio University; NEC Corporation; Chuo University; NEC Corporation, RIKEN AIP
Conference: nips 2023 (main track)
Keywords: bandit;combinatorial semi-bandits;bandits with badget
Decision: Poster
Title: PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
Authors: Qianli Shen, Wai Hoh Tang, Zhun Deng, Apostolos Psaros, Kenji Kawaguchi
Affiliations: Columbia University, USA; National University of Singapore, Singapore; Brown University, USA
Conference: nips 2023 (main track)
Keywords: physics-informed learning;uncertainty quantification;deep learning
Decision: Poster
Title: Auditing Fairness by Betting
Authors: Ben Chugg, Santiago Cortes-Gomez, Bryan Wilder, Aaditya Ramdas
Affiliations: Department of Machine Learning, Carnegie Mellon University; Departments of Machine Learning and Statistics, Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: fairness;auditing;sequential analysis;martingales;testing by betting
Decision: Spotlight
Title: LayoutPrompter: Awaken the Design Ability of Large Language Models
Authors: Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang
Affiliations: Xi’an Jiaotong University; Microsoft
Conference: nips 2023 (main track)
Keywords: graphic design;graphic layout;large language models;in-context learning
Decision: Poster
Title: OV-PARTS: Towards Open-Vocabulary Part Segmentation
Authors: Meng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu, Jiangmiao Pang
Affiliations: The University of Hong Kong; The University of Sydney; University of Macau, Texas A&M University; Shanghai AI Laboratory, The University of Hong Kong; Shanghai AI Laboratory
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Open vocabulary;semantic segmentation;part segmentation;foundation model
Decision: Poster
Title: PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios
Authors: Liya Hu, Zhiang Dong, Jingyuan Chen, Guifeng Wang, Zhihua Wang, Zhou Zhao, Fei Wu
Affiliations: Zhejiang University, Shanghai Institute for Advanced Study of Zhejiang University; Zhejiang University; Shanghai Institute for Advanced Study of Zhejiang University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Personalized Learning;Cognitive Diagnosis;Knowlege Tracing;Open-Access Datasets;Cross-Course Learner Modeling
Decision: Poster
Title: AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models
Authors: Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu, Jiang Bian, sheng zhao
Affiliations: 2The Chinese University of Hong Kong, Shenzhen; 1Microsoft
Conference: nips 2023 (main track)
Keywords: audio editing;text-to-audio generation;diffusion models
Decision: Poster
Title: Byzantine-Tolerant Methods for Distributed Variational Inequalities
Authors: Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takac, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov
Affiliations: MBZUAI, MIPT; MBZUAI
Conference: nips 2023 (main track)
Keywords: byzantine robustness;variational inequalities;min-max problems
Decision: Poster
Title: H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training
Authors: Yuzhong Wang, Xu Han, Weilin Zhao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
Affiliations: NLP Group, DCST, IAI, BNRIST, Tsinghua University, Beijing, China; Collaborative Innovation Center for Language Ability, Jiangsu Normal University, China; ModelBest Inc., Beijing, China; NLP Group, DCST, IAI, BNRIST, Tsinghua University, Beijing, China
Conference: nips 2023 (main track)
Keywords: ML System;Parallelism Learning;Memory Optimization;Data Parallelism;Model Parallelism;Parameter Parallelism;ZeRO;Rematerialization;Checkpointing;Tensor Offloading;Dynamic Programming
Decision: Poster
Title: PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
Authors: Zhaoxi Chen, Fangzhou Hong, Haiyi Mei, Guangcong Wang, Lei Yang, Ziwei Liu
Affiliations: Sensetime Research; S-Lab, Nanyang Technological University
Conference: nips 2023 (main track)
Keywords: neural rendering;3D generative model;diffusion model;volumetric primitives;3D human generation
Decision: Poster
Title: AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation
Authors: Chaofan Ma, Yang Yuhuan, Chen Ju, Fei Zhang, Ya Zhang, Yanfeng Wang
Affiliations: Coop. Medianet Innovation Center, Shanghai Jiao Tong University; Coop. Medianet Innovation Center, Shanghai Jiao Tong University; Shanghai AI Laboratory
Conference: nips 2023 (main track)
Keywords: Open-Vocabulary Semantic Segmentation;Attributes;Decomposition and Aggregation
Decision: Poster
Title: SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Authors: Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
Affiliations: University of Toronto; University of Toronto, Vector Institute
Conference: nips 2023 (main track)
Keywords: Unsupervised object-centric learning;diffusion model;generative modeling
Decision: Spotlight
Title: Generative Neural Fields by Mixtures of Neural Implicit Functions
Authors: Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han
Affiliations: University of Pittsburgh, USA; ECE & IPAI, Seoul National University, South Korea; CSE, POSTECH, South Korea
Conference: nips 2023 (main track)
Keywords: generative neural fields; implicit neural representation; model averaging
Decision: Poster
Title: Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks
Authors: Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John Dickerson, Joseph Suarez
Affiliations: Massachusetts Institute of Technology, Cambridge, MA, USA; University of Maryland, College Park, MD, USA; Drexel University, Philadelphia, PA, USA
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Proximal Policy Optimization;Reward Normalization
Decision: Poster
Title: Context-lumpable stochastic bandits
Authors: Chung-Wei Lee, Qinghua Liu, Yasin Abbasi Yadkori, Chi Jin, Tor Lattimore, Csaba Szepesvari
Affiliations: Google DeepMind and University of Alberta; Princeton University; Google DeepMind; University of Southern California
Conference: nips 2023 (main track)
Keywords: Contextual bandits;low-rank bandits;latent bandits;clustering bandits;stochastic bandit problems;context-lumpable bandits
Decision: Poster
Title: Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering
Authors: Tianxiao Li, Hongyu Guo, Filippo Grazioli, Mark Gerstein, Martin Renqiang Min
Affiliations: NEC Laboratories America, Yale University; NEC Laboratories Europe; Yale University; National Research Council Canada; NEC Laboratories America
Conference: nips 2023 (main track)
Keywords: protein engineering;disentangled representation;T cell receptor
Decision: Poster
Title: Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
Authors: Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, hongtu zhu
Affiliations: Department of Biostatistics, University of North Carolina at Chapel Hill; School of Statistics and Management, Shanghai University of Finance and Economics; Department of Statistics, London School of Economics and Political Science
Conference: nips 2023 (main track)
Keywords: Average treatment effect;Experimental design;Off-policy evaluation;Optimal treatment allocation
Decision: Poster
Title: Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM
Authors: Ziba Parsons, Fei Dou, Houyi Du, Zheng Song, Jin Lu
Affiliations: CIS Department, University of Michigan, Dearborn, MI; School of Computing, University of Georgia, Athens, GA
Conference: nips 2023 (main track)
Keywords: Mobilized Federated Networks;Personalized Federated Learning;Random Walk;Stochastic ADMM
Decision: Poster
Title: Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation
Authors: Peiwen Yuan, Xinglin Wang, Jiayi Shi, Bin Sun, Yiwei Li, Prof. Kan
Affiliations: School of Computer Science and Technology, Beijing Institute of Technology, China
Conference: nips 2023 (main track)
Keywords: Natural language process;Automatic dialog evaluation
Decision: Poster
Title: Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning
Authors: In Huh, changwook jeong, Jae Myung Choe, YOUNGGU KIM, Daesin Kim
Affiliations: CSE Team, Innovation Center, Samsung Electronics; Graduate School of Semiconductor Materials and Devices Engineering, UNIST
Conference: nips 2023 (main track)
Keywords: representation learning;auto-encoders;geometry;symmetry
Decision: Poster