hunoutl/paperlists huggingface dataset:
Title: Learning Curves for Deep Structured Gaussian Feature Models
Authors: Jacob Zavatone-Veth, Cengiz Pehlevan
Affiliations: Department of Physics, Center for Brain Science, Harvard University; John A. Paulson School of Engineering and Applied Sciences, Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University
Conference: nips 2023 (main track)
Keywords: random feature models;generalization;deep networks;ridge regression
Decision: Poster
Title: Symbolic Discovery of Optimization Algorithms
Authors: Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V Le
Affiliations: Google; UCLA
Conference: nips 2023 (main track)
Keywords: AutoML
Decision: Poster
Title: Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
Authors: Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu
Affiliations: School of Computer Science, University of Sydney; ECE & IPAI, Seoul National University
Conference: nips 2023 (main track)
Keywords: self-supervised learning;adversarial robustness
Decision: Poster
Title: Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
Authors: Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li
Affiliations: School of Artificial Intelligence, OPtics and ElectroNics (iOPEN) & School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, P.R. China; School of Computer Science & School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an 710072, P.R. China; School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210003, P.R. China; School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an 710072, P.R. China
Conference: nips 2023 (main track)
Keywords: Feature Selection;Differential k-NN Graph;Dirichlet Energy
Decision: Poster
Title: Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits
Authors: Muhammad Faaiz Taufiq, Arnaud Doucet, Rob Cornish, Jean-Francois Ton
Affiliations: ByteDance Research, ByteDance; Department of Statistics, University of Oxford
Conference: nips 2023 (main track)
Keywords: contextual bandits;variance reduction;off-policy evaluation
Decision: Poster
Title: Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
Authors: Hezhe Qiao, Guansong Pang
Affiliations: School of Computing and Information Systems, Singapore Management University
Conference: nips 2023 (main track)
Keywords: Anomaly Detection;Graph Neural Network;Graph Anomaly Detection;One-Class Homophily;Local Node Affinity
Decision: Poster
Title: CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
Authors: Yunyao Mao, Jiajun Deng, Wengang Zhou, Li Li, Yao Fang, Houqiang Li
Affiliations: Merchants Union Consumer Finance Company Limited; CAS Key Laboratory of Technology in GIPAS, EEIS Department, University of Science and Technology of China; The University of Adelaide, AIML
Conference: nips 2023 (main track)
Keywords: human-object interaction detection;zero-shot learning;CLIP model adaptatiion
Decision: Poster
Title: A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
Authors: Alexander Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
Affiliations: Department of Advanced Computing Sciences, Maastricht University, The Netherlands; Department of Mathematical Sciences and Pioneer Centre for AI, University of Copenhagen, Denmark; CentraleSupélec, Université Paris-Saclay, F-91190 Gif-sur-Yvette, France; CNRS, MAP5, Université Paris Cité, F-75006 Paris, France
Conference: nips 2023 (main track)
Keywords: Causal Discovery;Directed Acyclic Graph;Varsortability;Additive Noise Model;Structural Causal Model;Simulation;Benchmark
Decision: Poster
Title: Individual Arbitrariness and Group Fairness
Authors: Carol Long, Hsiang Hsu, Hsiang Hsu, Wael Alghamdi, Flavio Calmon
Affiliations: Prepared prior to employment at JPMorgan Chase & Co.; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134
Conference: nips 2023 (main track)
Keywords: predictive multiplicity;fairness in machine learning;Rashomon effect
Decision: Spotlight
Title: Identifiability Guarantees for Causal Disentanglement from Soft Interventions
Authors: Jiaqi Zhang, Kristjan Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler
Affiliations: LIDS, MIT; Broad Institute of MIT and Harvard; MIT-IBM Watson AI Lab; IBM Research; IBM Research; Currently at Google Research
Conference: nips 2023 (main track)
Keywords: Causality;Identifiability;Disentanglement
Decision: Poster
Title: Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Authors: Siyuan Guo, Viktor Toth, Bernhard Schölkopf, Ferenc Huszar
Affiliations: Max Planck Institute for Intelligent Systems; University of Cambridge
Conference: nips 2023 (main track)
Keywords: Independent Causal Mechanism;Causal Discovery;Exchangeable;Bayesian Statistics
Decision: Poster
Title: Arbitrarily Scalable Environment Generators via Neural Cellular Automata
Authors: Yulun Zhang, Matthew Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li
Affiliations: Robotics Institute, Carnegie Mellon University; Thomas Lord Department of Computer Science, University of Southern California
Conference: nips 2023 (main track)
Keywords: Multi-robot systems;quality diversity;automatic environment generation;neural cellular automata
Decision: Poster
Title: Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability
Authors: Jishnu Ray Chowdhury, Cornelia Caragea
Affiliations: Computer Science, University of Illinois Chicago
Conference: nips 2023 (main track)
Keywords: Recursive Neural Networks;Long Range Arena;RvNN;Long Range Sequence Modeling;Length Generalization;LRA;Structured Encoding;Inductive Bias;Hierarchical Model;Recursive Models
Decision: Poster
Title: Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
Authors: Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen
Affiliations: University at Buffalo; Adobe Research; MBZUAI
Conference: nips 2023 (main track)
Keywords: diffusion model;label noise;retrieval augmented learning
Decision: Poster
Title: Regression with Cost-based Rejection
Authors: Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
Affiliations: School of Software Technology, Zhejiang University, China; College of Computer Science, Chongqing University, China; Department of Statistics and Data Science, Southern University of Science and Technology, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: regression;rejection costs;surrogate loss
Decision: Poster
Title: Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle
Authors: Chandra Sekhar Mukherjee, Pan Peng, Jiapeng Zhang
Affiliations: School of Computer Science and Technology, University of Science and Technology of China. Research supported in part by NSFC grant 62272431 and 'the Fundamental Research Funds for the Central Universities'.; Thomas Lord Department of Computer Science, University of Southern California. Research supported by NSF CAREER award 2141536.; Thomas Lord Department of Computer Science, University of Southern California.
Conference: nips 2023 (main track)
Keywords: SBM;Unbalanced SBM;Spectral algorithms;Small cluster barrier
Decision: Poster
Title: Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
Authors: Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
Affiliations: Princeton University; Penn State University; Google Deepmind; Oregon State University; University of Science and Technology of China
Conference: nips 2023 (main track)
Keywords: learning to rank;off-policy learning;reinforcement learning;click model
Decision: Poster
Title: Gradient Informed Proximal Policy Optimization
Authors: Sanghyun Son, Laura Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming Lin
Affiliations: Department of Computer Science, University of Maryland, College Park
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Analytic Gradient-Based Policy Learning;Proximal Policy Optimization;Differentiable Programming
Decision: Poster
Title: Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
Authors: Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He
Affiliations: University of Science and Technology of China; The Hong Kong Polytechnic University
Conference: nips 2023 (main track)
Keywords: Sequential Recommendation;Recommendation System;Generative Model;Diffusion Model
Decision: Poster
Title: UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation
Authors: Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma
Affiliations: Stony Brook University; Zhejiang University; The Pennsylvania State University
Conference: nips 2023 (main track)
Keywords: certified robust training;text adversarial defense
Decision: Poster
Title: LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
Authors: Yazhe Niu, YUAN PU, Zhenjie Yang, Xueyan Li, Tong Zhou, Jiyuan Ren, Shuai Hu, Hongsheng Li, Yu Liu
Affiliations: The Chinese University of Hong Kong; Shanghai Artificial Intelligence Laboratory; SenseTime Group LTD
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Reinforcement Learning;Monte Carlo Tree Search;Model-Based RL;Algorithm Benchmark
Decision: Spotlight
Title: When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
Authors: Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong
Affiliations: University of Minnesota, Minneapolis, MN, USA; Texas A&M University, College Station, TX, USA
Conference: nips 2023 (main track)
Keywords: Inverse Reinforcement Learning;Model-based Offline Inverse Reinforcement Learning
Decision: Oral
Title: Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo
Authors: Maxence Noble, Valentin De Bortoli, Alain Durmus
Affiliations: Computer Science Department, ENS, CNRS, PSL University; CMAP, CNRS, École polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France
Conference: nips 2023 (main track)
Keywords: Hamiltonian Monte Carlo;Riemannian manifold;self-concordant barrier;constrained sampling
Decision: Poster
Title: Particle-based Variational Inference with Generalized Wasserstein Gradient Flow
Authors: Ziheng Cheng, Shiyue Zhang, Longlin Yu, Cheng Zhang
Affiliations: School of Mathematical Sciences, Peking University; School of Mathematical Sciences and Center for Statistical Science, Peking University
Conference: nips 2023 (main track)
Keywords: Particle-based VI;generalized Wasserstein gradient flow
Decision: Poster
Title: Neural Fields with Hard Constraints of Arbitrary Differential Order
Authors: Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Oztireli
Affiliations: Harvard University; University of Cambridge; Simon Fraser University; University of Lincoln
Conference: nips 2023 (main track)
Keywords: neural fields;constrained optimization
Decision: Poster
Title: Activity Grammars for Temporal Action Segmentation
Authors: Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
Affiliations: Pohang University of Science and Technology (POSTECH)
Conference: nips 2023 (main track)
Keywords: neuro-symbolic approach;Temporal action segmentation;grammar
Decision: Poster
Title: Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning
Authors: Marina Munkhoeva, Ivan Oseledets
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Artificial Intelligence Research Institute (AIRI), Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russian Federation
Conference: nips 2023 (main track)
Keywords: unsupervised learning;self-supervised learning;representation learning;matrix completion
Decision: Poster
Title: Learning Cuts via Enumeration Oracles
Authors: Daniel Thuerck, Boro Sofranac, Marc E Pfetsch, Sebastian Pokutta
Affiliations: Department of Mathematics, TU Darmstadt, Darmstadt, Germany; Zuse Institute Berlin and TU Berlin, Berlin, Germany; Quantagonia, Bad Homburg, Germany
Conference: nips 2023 (main track)
Keywords: Integer Programming;Cutting Planes;Optimization
Decision: Poster
Title: Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
Authors: Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu
Affiliations: University of Chicago; Google; Google Research
Conference: nips 2023 (main track)
Keywords: linear stochastic bandits;online learning;partial information;contextual bandits
Decision: Spotlight
Title: TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
Authors: Xueyuan Lin, Haihong E, Chengjin Xu, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, Mingzhi Sun
Affiliations: University of Bonn; National University of Defense Technology; Beijing University of Posts and Telecommunications
Conference: nips 2023 (main track)
Keywords: Temporal Knowledge Graph Reasoning;Temporal Knowledge Graph Embedding;Temporal Knowledge Graph;Temporal Logic;Knowledge Graph Reasoning;Knowledge Graph Embedding;Knowledge Graph;Machine Learning
Decision: Poster
Title: FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation
Authors: Xinyu Sun, Peihao Chen, Jugang Fan, Jian Chen, Thomas Li, Mingkui Tan
Affiliations: South China University of Technology, Pazhou Laboratory, Key Laboratory of Big Data and Intelligent Robot, Ministry of Education; Peking University Shenzhen Graduate School; South China University of Technology; South China University of Technology, Information Technology R&D Innovation Center of Peking University
Conference: nips 2023 (main track)
Keywords: Visual Navigation;Image-Goal Navigation;Embodied AI
Decision: Poster
Title: FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Authors: Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong
Affiliations: Carnegie Mellon University; University of Southern California
Conference: nips 2023 (main track)
Keywords: Federated Graph Learning;
Decision: Poster
Title: Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Authors: Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
Affiliations: Michigan State University; Rensselaer Polytechnic Institute; Snap Inc; Emory University
Conference: nips 2023 (main track)
Keywords: Graph Neural Network
Decision: Poster
Title: Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost
Authors: Yu-Jie Zhang, Masashi Sugiyama
Affiliations: RIKEN AIP, Tokyo, Japan; The University of Tokyo, Chiba, Japan
Conference: nips 2023 (main track)
Keywords: Logistic Bandit;Generalized Linear Bandit;Regret Bound;Computation Cost
Decision: Spotlight
Title: Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
Authors: Thomas Yerxa, Yilun Kuang, Eero Simoncelli, SueYeon Chung
Affiliations: Courant Inst. of Mathematical Sciences; Center for Neural Science, New York University; Center for Computational Neuroscience, Flatiron Institute
Conference: nips 2023 (main track)
Keywords: computational neuroscience;theoretical neuroscience;efficient coding;representation geometry;neural manifolds;self-supervised learning;statistical physics of learning
Decision: Poster
Title: Disentangling Cognitive Diagnosis with Limited Exercise Labels
Authors: Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang
Affiliations: Hefei University of Technology; Hefei Comprehensive National Science Center, Institute of Artificial Intelligence; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Intelligent Education System;Cognitive Diagnosis;Disentangled Representation Learning;Interpretability
Decision: Poster
Title: Successor-Predecessor Intrinsic Exploration
Authors: Changmin Yu, Neil Burgess, Maneesh Sahani, Samuel J Gershman
Affiliations: Department of Psychology, Harvard University, Cambridge, United States; Gatsby Computational Neuroscience Unit; UCL, London, United Kingdom; Institute of Cognitive Neuroscience; Gatsby Computational Neuroscience Unit; UCL, London, United Kingdom
Conference: nips 2023 (main track)
Keywords: Exploration;reinforcement learning
Decision: Poster
Title: DISCS: A Benchmark for Discrete Sampling
Authors: Katayoon Goshvadi, Haoran Sun, Xingchao Liu, Azade Nova, Ruqi Zhang, Will Grathwohl, Dale Schuurmans, Hanjun Dai
Affiliations: Purdue University; Google Deepmind; UT Austin; Georgia Tech
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: discrete;MCMC;sampling;benchmark;combinatorial optimization;language model
Decision: Poster
Title: Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
Authors: Van Cuong Pham, Cuong C Nguyen, Cuong Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
Affiliations: Department of Data Science and AI, Monash University, Australia; Australian Institute for Machine Learning, University of Adelaide, Australia; Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom
Conference: nips 2023 (main track)
Keywords: Bayesian Neural Networks;Deep Mutual Learning
Decision: Poster
Title: Linear Time Algorithms for k-means with Multi-Swap Local Search
Authors: Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang
Affiliations: School of Computer Science and Engineering, Central South University, Changsha 410083, China; Xiangjiang Laboratory, Changsha 410205, China; The Hunan Provincial Key Lab of Bioinformatics, Central South University, Changsha 410083, China; Department of Computer Science and Engineering, State University of New York at Buffalo, NY, USA; School of Computer Science and Engineering, Central South University, Changsha 410083, China; Xiangjiang Laboratory, Changsha 410205, China; Department of Computer Science and Software Engineering, Penn State Erie, The Behrend College
Conference: nips 2023 (main track)
Keywords: Approximation Algorithms;k-means Clustering;Local Search
Decision: Poster
Title: On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
Authors: Yufeng Zhang, Jialu Pan, Li Ken Li, Wanwei Liu, Zhenbang Chen, Xinwang Liu, J Wang
Affiliations: College of Computer Science and Electronic Engineering, Hunan University, Changsha, China; College of Computer, State Key Laboratory for High Performance Computing, Key laboratory of Software Engineering for Complex Systems, National University of Defense Technology, Changsha, China; College of Computer, Key Laboratory of Software Engineering for Complex Systems, National University of Defense Technology, Changsha, China
Conference: nips 2023 (main track)
Keywords: Kullback-Leibler divergence;statistical divergence;multivariate Gaussian distribution;mathematical optimization;Lambert $W$ function;machine learning;flow-based model;reinforcement learning
Decision: Poster
Title: MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Authors: Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
Affiliations: IBM Research – Zurich; IBM Research – Zurich, ETH Zurich; ETH Zurich
Conference: nips 2023 (main track)
Keywords: Computation in superposition;Vector-symbolic architectures;Convolutional neural networks;Transformers
Decision: Poster
Title: Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
Authors: Yefan Zhou, TIANYU PANG, Keqin Liu, charles martin, Michael Mahoney, Yaoqing Yang
Affiliations: National Center for Applied Mathematics and Department of Mathematics, Nanjing University; Calculation Consulting; Department of Computer Science, Dartmouth College; ICSI, LBNL, and Department of Statistics, University of California at Berkeley
Conference: nips 2023 (main track)
Keywords: Heavy-tail self-regularization;learning rate schedule
Decision: Spotlight
Title: SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
Authors: Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Yu
Affiliations: University of York; University of Leeds; Southern University of Science and Technology; City University of Hong Kong
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Synthetic dataset;urban mobility analysis;spatial-temporal data mining
Decision: Poster
Title: Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Authors: Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan
Affiliations: Language Technologies Institute, CMU; MIT-IBM Watson AI Lab, IBM Research; MIT-IBM Watson AI Lab, IBM Research and UMass Amherst; UMass Amherst
Conference: nips 2023 (main track)
Keywords: AI Alignment;Large Language Models;In Context Learning;Neural Symbolics
Decision: Spotlight
Title: How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
Authors: Michael Hanna, Ollie Liu, Alexandre Variengien
Affiliations: Redwood Research (Work performed during an internship. Now at Conjecture); University of Southern California; ILLC, University of Amsterdam
Conference: nips 2023 (main track)
Keywords: interpretability;language models;NLP
Decision: Poster
Title: Riemannian stochastic optimization methods avoid strict saddle points
Authors: Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause, Panayotis Mertikopoulos
Affiliations: ETH Zürich; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG 38000 France
Conference: nips 2023 (main track)
Keywords: Riemannian optimization;saddle points;stochastic approximation
Decision: Poster
Title: DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
Authors: Mohammadreza Pourreza, Davood Rafiei
Affiliations: Department of Computer Science, University of Alberta, Edmonton, CA
Conference: nips 2023 (main track)
Keywords: In-Context Learning;Text-to-SQL;Task Decomposition;Spider Challenge;Natural Language Interfaces to Databases
Decision: Poster
Title: From Trainable Negative Depth to Edge Heterophily in Graphs
Authors: Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
Affiliations: Visa Research, CA, USA; University of Illinois at Urbana Champaign, IL, USA
Conference: nips 2023 (main track)
Keywords: graph convolutional network
Decision: Poster
Title: Demystifying the Optimal Performance of Multi-Class Classification
Authors: Minoh Jeong, Martina Cardone, Alex Dytso
Affiliations: Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455; Qualcomm Flarion Technology, Inc., Bridgewater, NJ 08807
Conference: nips 2023 (main track)
Keywords: Bayes error;estimation;classification;minimum error probability
Decision: Poster
Title: Latent Space Translation via Semantic Alignment
Authors: Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà
Affiliations: Sapienza University of Rome; Institute of Science and Technology Austria (ISTA)
Conference: nips 2023 (main track)
Keywords: latent space translation;relative representation;Procrustes analysis;zero-shot;stitching;latent communication;representation learning;manifold alignment;multimodal
Decision: Poster