hunoutl/paperlists huggingface dataset:
Title: A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
Authors: Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman Ozdaglar, Adam Wierman
Affiliations: EECS, MIT; CMS, Caltech; ECE & ISR, University of Maryland, College Park
Conference: nips 2023 (main track)
Keywords: Zero-sum stochastic games;payoff-based independent learning;best-response-type dynamics;finite-sample analysis
Decision: Poster
Title: Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
Authors: Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
Affiliations: Beijing Academy of Artificial Intelligence; Computer Science Department, Stanford University; Institute of AI Industry Research (AIR), Tsinghua University
Conference: nips 2023 (main track)
Keywords: Drug Design;Molecule Generation;Deep Learning;Computational Biology
Decision: Poster
Title: Block Broyden's Methods for Solving Nonlinear Equations
Authors: Chengchang Liu, Cheng Chen, Luo Luo, John C.S. Lui
Affiliations: Department of Computer Science & Engineering, The Chinese University of Hong Kong; Shanghai Key Laboratory of Trustworthy Computing, East China Normal University; School of Data Science, Fudan University
Conference: nips 2023 (main track)
Keywords: Broyden's method;nonlinear equations
Decision: Poster
Title: Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
Authors: Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He
Affiliations: University of Science and Technology of China; Ant Group; Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Graph Neural Network;Graph Data Augmentation;Distribution Shift
Decision: Poster
Title: M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
Authors: Wenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing
Affiliations: DAMO Academy, Alibaba Group and Singapore University of Technology and Design; DAMO Academy, Alibaba Group and The Chinese University of Hong Kong; DAMO Academy, Alibaba Group
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: multilingual;multimodal;large language models;evaluation
Decision: Poster
Title: Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
Authors: Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed Chi, Derek Cheng
Affiliations: Google DeepMind; Google Research
Conference: nips 2023 (main track)
Keywords: embedding learning; recommendation systems; representation learning
Decision: Spotlight
Title: M$^{2}$SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors
Authors: Jonggyu Jang, Sangwoo Oh, Youjin Kim, Dongmin Seo, Youngchol Choi, Hyun Jong Yang
Affiliations: POSTECH; Samsung Electronics; Semyung University; KRISO
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Maritime object detection;hyperspectral sensor;bounding box annotation
Decision: Poster
Title: Parts of Speech–Grounded Subspaces in Vision-Language Models
Authors: James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras
Affiliations: National and Kapodistrian University of Athens, Archimedes/Athena RC; The Cyprus Institute; Queen Mary University of London
Conference: nips 2023 (main track)
Keywords: generative models;text-to-image;vision-language models;interpretability
Decision: Poster
Title: Game Solving with Online Fine-Tuning
Authors: Ti-Rong Wu, Hung Guei, Ting Han Wei, Chung-Chin Shih, Jui-Te Chin, I-Chen Wu
Affiliations: Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan; Department of Computing Science, University of Alberta, Canada; Institute of Information Science, Academia Sinica, Taiwan; Research Center for Information Technology Innovation, Academia Sinica, Taiwan
Conference: nips 2023 (main track)
Keywords: Game Solving;Computer Games;AlphaZero;Online Fine-Tuning;Monte Carlo Tree Search;Deep Reinforcement Learning
Decision: Poster
Title: Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion
Authors: Shengqiong Wu, Hao Fei, Hanwang Zhang, Tat-Seng Chua
Affiliations: School of Computer Science and Engineering, Nanyang Technological University; NExT++, School of Computing, National University of Singapore
Conference: nips 2023 (main track)
Keywords: Image Synthesis;Scene Graph;Diffusion Model
Decision: Poster
Title: Adversarial Examples Are Not Real Features
Authors: Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang
Affiliations: Independent Researcher; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University; School of Electronics Engineering and Computer Science, Peking University; School of Mathematical Sciences, Peking University
Conference: nips 2023 (main track)
Keywords: Adversarial Examples;Adversarial Training;Generalization;Generative Models
Decision: Poster
Title: Hardware Resilience Properties of Text-Guided Image Classifiers
Authors: Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud, Salman Khan, David Brooks, Gu-Yeon Wei
Conference: nips 2023 (main track)
Keywords: Hardware Resilience;Reliability;Image Classification;CLIP;Vision-Language;Multimodal
Decision: Poster
Title: SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Authors: Adam Stewart, Nils Lehmann, Isaac Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
Affiliations: University of Texas at San Antonio; University of Illinois Urbana-Champaign; Microsoft AI for Good Research Lab; Technical University of Munich
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: self-supervised learning;earth observation;remote sensing;landsat;dataset;semantic segmentation;cloud detection;land cover mapping;crop classification
Decision: Poster
Title: A new perspective on building efficient and expressive 3D equivariant graph neural networks
Authors: weitao Du, Yuanqi Du, Limei Wang, Dieqiao Feng, Guifeng Wang, Shuiwang Ji, Carla Gomes, Zhi-Ming Ma
Affiliations: Cornell University; Chinese Academy of Sciences; Texas A&M University; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Geometric Deep Learning;Equivariance;Symmetry
Decision: Poster
Title: InsActor: Instruction-driven Physics-based Characters
Authors: Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan, Ziwei Liu
Affiliations: National University of Singapore; S-Lab, Nanyang Technological University; Dyson Robot Learning Lab
Conference: nips 2023 (main track)
Keywords: Physics-based Animation; Human Motion Generation
Decision: Poster
Title: $SE(3)$ Equivariant Convolution and Transformer in Ray Space
Authors: Yinshuang Xu, Jiahui Lei, Kostas Daniilidis
Affiliations: University of Pennsylvania and Archimedes, Athena RC; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: equivariance;light field;equivariant convolution over homogeneous space
Decision: Spotlight
Title: Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
Authors: Waïss Azizian, Franck Iutzeler, Jérôme Malick
Affiliations: Univ. Grenoble Alpes, CNRS, Grenoble INP, Grenoble, 38000, France
Conference: nips 2023 (main track)
Keywords: robust optimization;distributionally robust optimization;optimization under uncertainty;generalization;Wasserstein distance;optimal transport
Decision: Poster
Title: Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee
Authors: Yunzhang Zhu, Renxiong Liu
Affiliations: Statistics and Data Science team, Nokia Bell Labs, Murray Hill, NJ 07974; Department of Statistics, Ohio State University, Columbus, OH 43015
Conference: nips 2023 (main track)
Keywords: regularization;optimization;tuning parameter selection
Decision: Poster
Title: Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
Authors: Matthew McDermott, Bret Nestor, Peniel Argaw, Isaac S Kohane
Affiliations: Department of Biomedical Informatics, Harvard University; Allen School of Computer Science & Engineering, University of Washington; John A. Paulson School of Engineering and Applied Sciences, Harvard University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Data pre-processing;Software;Library;Pre-training;representation learning;medical sequence model;biomedical;healthcare;point processes
Decision: Poster
Title: Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
Authors: Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li
Affiliations: Microsoft Research Asia; South China University of Technology
Conference: nips 2023 (main track)
Keywords: Electroencephalogram;EEG Pre-training;EEG-based emotion recognition
Decision: Poster
Title: Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
Authors: Kanishk Jain, Kanishk Jain, Shyamgopal Karthik, Vineet Gandhi
Affiliations: University of Tübingen; IIIT Hyderabad
Conference: nips 2023 (main track)
Keywords: Hierarchical Classification;Fine-grained Classification;Ensembles;Mistake Severity
Decision: Poster
Title: Iteratively Learn Diverse Strategies with State Distance Information
Authors: Wei Fu, Weihua Du, Jingwei Li, Sunli Chen, Jingzhao Zhang, YI WU
Affiliations: IIIS, Tsinghua University/Shanghai Qi Zhi Institute; IIIS, Tsinghua University
Conference: nips 2023 (main track)
Keywords: diverse behavior;multi-agent reinforcement learning;deep reinforcement learning
Decision: Poster
Title: DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
Authors: Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; Tencent AI Lab; Department of Computer Science and Engineering, University at Buffalo, State University of New York, USA
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Deepfake Detection;Benchmark
Decision: Poster
Title: Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design
Authors: AkshatKumar Nigam, Robert Pollice, Gary Tom, Kjell Jorner, John Willes, Luca Thiede, Anshul Kundaje, Alan Aspuru-Guzik
Affiliations: University of Groningen; University of Toronto, Vector Institute, Lebovic Fellow, Canadian Institue for Advanced Research; Vector Institute; University of Toronto; Stanford University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Inverse molecular design;generative models;realistic benchmarking
Decision: Poster
Title: Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training
Authors: Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
Affiliations: University of Luxembourg; Eindhoven University of Technology; University of Twente; Jagiellonian University, Faculty of Mathematics and Computer Science; Eindhoven University of Technology; Jagiellonian University, Doctoral School of Exact and Natural Sciences; IDEAS NCBR
Conference: nips 2023 (main track)
Keywords: Dynamic Sparse Training;Pruning;Deep Learning
Decision: Poster
Title: Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction
Authors: Zechuan Zhang, Li Sun, Zongxin Yang, Ling Chen, Yi Yang
Affiliations: AAII, University of Technology Sydney; ReLER, CCAI, Zhejiang University
Conference: nips 2023 (main track)
Keywords: 3D human avatar reconstruction;vision transformer;parametric body model;tri-plane representation
Decision: Poster
Title: Macro Placement by Wire-Mask-Guided Black-Box Optimization
Authors: Yunqi Shi, Ke Xue, Song Lei, Chao Qian
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, China; School of Artificial Intelligence, Nanjing University, China
Conference: nips 2023 (main track)
Keywords: Black Box Optimization;Macro Placement;Electronic Design Automation;Reinforcement Learning;Application
Decision: Poster
Title: Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks
Authors: Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Cheng Chen, Min Zhang
Affiliations: ETH Zürich; Shanghai Key Laboratory of Trustworthy Computing, East China Normal University; University of Oxford
Conference: nips 2023 (main track)
Keywords: Deep reinforcement learning;Reachability analysis;Hybrid system;State abstraction
Decision: Poster
Title: Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis
Authors: Geonu Kim, Byunggook Na, Gunhee Kim, Hyuntae Cho, Seungjin Kang, Hee Sun Lee, Saerom Choi, Heejae Kim, Seungwon Lee, Yongdeok Kim
Affiliations: Samsung Advanced Institute of Technology (SAIT)
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Machine Learning Force Field (MLFF);Semiconductor datasets;MLFF Benchmark
Decision: Poster
Title: BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series
Authors: Andrea Nascetti, Ritu Yadav, Kirill Brodt, Qixun Qu, Hongwei Fan, Yuri Shendryk, Isha Shah, Christine Chung
Affiliations: Dendra Systems; Imperial College of London; University of Liège, KTH Royal Institute of Technology; University of Montreal and Novosibirsk State University; KTH Royal Institute of Technology; Driven Data
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multi-Temporal;Multi-Modal;Satellite imagery;Biomass
Decision: Poster
Title: UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models
Authors: Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu
Affiliations: Tsinghua University
Conference: nips 2023 (main track)
Keywords: diffusion models;fast sampling;predictor-corrector;training-free
Decision: Poster
Title: AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
Authors: Jiarong Ding, Xuehu ZHU
Affiliations: School of Mathematics and Statistics, Xi’an Jiaotong University
Conference: nips 2023 (main track)
Keywords: Mediation analysis;Composite null hypothesis;Local false discovery rate;Optimal ranking rule;High-dimensional
Decision: Spotlight
Title: $p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
Authors: Kai Klede, Thomas Altstidl, Dario Zanca, Bjoern Eskofier
Affiliations: Machine Learning and Data Analytics (MaD) Lab, Friedrich-Alexander Universität Erlangen-Nürnberg; Machine Learning and Data Analytics (MaD) Lab, Friedrich-Alexander Universität Erlangen-Nürnberg; Translational Digital Health Group, Institute of AI for Health, Helmholtz Zentrum München
Conference: nips 2023 (main track)
Keywords: Clustering;(Other) Machine Learning Topics
Decision: Poster
Title: NPCL: Neural Processes for Uncertainty-Aware Continual Learning
Authors: Saurav Jha, Dong Gong, He Zhao, Lina Yao
Affiliations: CSIRO’s Data61; CSIRO’s Data61, UNSW Sydney; UNSW Sydney
Conference: nips 2023 (main track)
Keywords: Continual Learning;Neural Process;Uncertainty;Incremental Learning
Decision: Poster
Title: Analyzing Vision Transformers for Image Classification in Class Embedding Space
Authors: Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig
Affiliations: Goethe University Frankfurt, Ernst Strüngmann Institute; Goethe University Frankfurt, The Hessian Center for AI
Conference: nips 2023 (main track)
Keywords: transformers;computer vision;image classification;mechanistic interpretability;explainability
Decision: Poster
Title: Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
Authors: Yuan Wang, Naisong Luo, Tianzhu Zhang
Affiliations: Deep Space Exploration Laboratory/School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China.
Conference: nips 2023 (main track)
Keywords: Computer Vision;Few-shot Segmentation
Decision: Poster
Title: A polar prediction model for learning to represent visual transformations
Authors: Pierre-Étienne Fiquet, Eero Simoncelli
Affiliations: Center for Neural Science, New York University; Center for Neural Science, New York University; Center for Computational Neuroscience, Flatiron Institute
Conference: nips 2023 (main track)
Keywords: video prediction;neural coding;symmetry discovery;self-supervised representation-learning
Decision: Poster
Title: CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
Authors: Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching-Hua Lee, Yilin Shen, Hongxia Jin
Affiliations: Samsung Research America, Mountain View, CA
Conference: nips 2023 (main track)
Keywords: contrastive loss;multimodal representation learning;zero-shot learning;intent classification;pre-trained models;modality alignment;cross-modal transfer
Decision: Poster
Title: CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence
Authors: Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon
Affiliations: Interdisciplinary Program in Artificial Intelligence, Seoul National University and Department of Electrical and Computer Engineering, Seoul National University; Interdisciplinary Program in Artificial Intelligence, Seoul National University; Department of Electrical and Computer Engineering, Seoul National University
Conference: nips 2023 (main track)
Keywords: Continual learning;Knowledge transfer;Algorithmic reasoning
Decision: Poster
Title: State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory
Authors: Shida Wang, Beichen Xue
Affiliations: Department of Mathematics, National University of Singapore, e0622338@u.nus.edu; Department of Statistics and Data Science, National University of Singapore, e0773769@u.nus.edu
Conference: nips 2023 (main track)
Keywords: state space;approximation theory;sequence modelling
Decision: Poster
Title: GloptiNets: Scalable Non-Convex Optimization with Certificates
Authors: Gaspard Beugnot, Julien Mairal, Alessandro Rudi
Affiliations: Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France; Inria, École normale supérieure, CNRS, PSL Research University, 75005 Paris, France
Conference: nips 2023 (main track)
Keywords: non-convex optimization;polynomial optimization;kernel sum-of-squares
Decision: Spotlight
Title: Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Authors: Youquan Liu, Lingdong Kong, Jun CEN, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu
Affiliations: The University of Hong Kong; National University of Singapore; The Hong Kong University of Science and Technology; S-Lab, Nanyang Technological University; Shanghai AI Laboratory
Conference: nips 2023 (main track)
Keywords: autonomous driving;point cloud segmentation;self-supervised learning;3D scene understanding
Decision: Spotlight
Title: Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Authors: Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song
Affiliations: POSTECH; KAIST; Yonsei University; University of Seoul
Conference: nips 2023 (main track)
Keywords: multi-modal learning;robustness;fine-tuning;contrastive learning;CLIP;Mixup
Decision: Poster
Title: MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks
Authors: Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
Affiliations: EPFL; Yale, EPFL
Conference: nips 2023 (main track)
Keywords: Deep Learning;Multimodal Learning;Multi-task learning;Missingness;Interpretability
Decision: Poster
Title: Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
Authors: Feng Chen, Daniel Kunin, Atsushi Yamamura, Surya Ganguli
Conference: nips 2023 (main track)
Keywords: Implicit Bias;SGD Dynamics;Implicit regularization;Learning rate schedule;Stochastic Gradient Descent;Invariant set;Attractive saddle points;Stochastic collapse;Permutation invariance;Simplicity bias;Teacher-student
Decision: Poster
Title: Simplifying Neural Network Training Under Class Imbalance
Authors: Ravid Shwartz-Ziv, Micah Goldblum, Yucen Li, C. Bayan Bruss, Andrew Wilson
Affiliations: New York University; Capital One
Conference: nips 2023 (main track)
Keywords: Class Imbalance;Hyperparameters;Long-Tailed Distributions
Decision: Poster
Title: Joint Prompt Optimization of Stacked LLMs using Variational Inference
Authors: Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
Affiliations: Microsoft Research Montréal; MILA
Conference: nips 2023 (main track)
Keywords: deep prompt optimization;llm;variational inference;graphical model;chaining
Decision: Poster
Title: Parallel Submodular Function Minimization
Authors: Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang, Aaron Sidford
Affiliations: Stanford University, Stanford, USA; Microsoft Research, Redmond, USA; Dartmouth College, Hanover, USA
Conference: nips 2023 (main track)
Keywords: parallel computation;convex optimization;submodular function minimization
Decision: Spotlight
Title: Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval
Authors: Xiaoshuai Hao, Wanqian Zhang
Affiliations: Samsung Research China–Beijing (SRC-B); Institute of Information Engineering, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: video-text retrieval; cross-domain;Unsupervised Domain Adaptation Video-text Retrieval;
Decision: Poster
Title: A Trichotomy for Transductive Online Learning
Authors: Steve Hanneke, Shay Moran, Jonathan Shafer
Affiliations: Faculty of Mathematics, Faculty of Computer Science, and Faculty of Data and Decision Sciences, Technion – Israel Institute of Technology; Department of Computer Science, Purdue University; Computer Science Division, UC Berkeley
Conference: nips 2023 (main track)
Keywords: Online Learning;Transductive Online Learning;Offline Learning;Mistake Bound
Decision: Poster
Title: On the Identifiability and Interpretability of Gaussian Process Models
Authors: Jiawen Chen, Wancen Mu, Yun Li, Didong Li
Affiliations: Department of Biostatistics, University of North Carolina at Chapel Hill
Conference: nips 2023 (main track)
Keywords: Gaussian process;Identifiability;Interpretability;Mixture kernel;Separable kernel
Decision: Poster
Title: Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
Authors: Omar Chehab, Aapo Hyvarinen, Andrej Risteski
Affiliations: Université Paris-Saclay, Inria, CEA, Palaiseau, France; Department of Computer Science, University of Helsinki, Helsinki, Finland; Department of Machine Learning, Carnegie-Mellon University, Pittsburgh, USA
Conference: nips 2023 (main track)
Keywords: noise-contrastive estimation;annealed importance sampling
Decision: Spotlight
Title: PCF-GAN: generating sequential data via the characteristic function of measures on the path space
Authors: Hang Lou, Siran Li, Hao Ni
Affiliations: Department of Mathematics, Shanghai Jiao Tong University; Department of Mathematics, University College London
Conference: nips 2023 (main track)
Keywords: Generative adversarial networks;time series generation;rough path theory;Lie group
Decision: Poster
Title: Similarity-based cooperative equilibrium
Authors: Caspar Oesterheld, Johannes Treutlein, Roger Grosse, Vincent Conitzer, Jakob Foerster
Affiliations: Anthropic, Vector Institute, University of Toronto; FOCAL, Carnegie Mellon University; FLAIR, University of Oxford; CHAI, UC Berkeley; Institute for Ethics in AI, University of Oxford
Conference: nips 2023 (main track)
Keywords: Program equilibrium;multi-agent learning;game theory;opponent shaping;superrationality;decision theory;cooperative AI;Newcomb's problem
Decision: Poster