hunoutl/paperlists huggingface dataset:
Title: Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
Authors: Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, xishan zhang, Ling Li, Qi Guo, Yunji Chen
Affiliations: Intelligent Software Research Center, Institute of Software, CAS, Beijing, China; SKL of Processors, Institute of Computing Technology, CAS, Beijing, China
Conference: nips 2023 (main track)
Keywords: reinforcement learning;context variables;symbolic policy
Decision: Poster
Title: WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data
Authors: Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian Foster, Bo Li, Rick Stevens, Ce Zhang
Affiliations: TU darmstadt; University of Chicago; Argonne National Laboratory, University of Chicago; ETH Zurich, INSAIT, Sofia University; UIUC; ETH Zurich
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Web Data;Common Crawl;Document Processing;Layout Detection
Decision: Poster
Title: Physics-Informed Bayesian Optimization of Variational Quantum Circuits
Authors: Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
Affiliations: Transdisciplinary Research Area (TRA) Matter, University of Bonn, Germany; Prescient Design, gRED, Roche, Switzerland; Institute of Photonic Sciences, The Barcelona Institute of Science and Technology (ICFO); Technische Universität Berlin, Germany; Helmholtz Institute for Radiation and Nuclear Physics (HISKP); CQTA, Deutsches Elektronen-Synchrotron (DESY), Zeuthen, Germany; Berlin Institute for the Foundations of Learning and Data (BIFOLD); Northeastern University London, UK; RIKEN Center for AIP, Japan
Conference: nips 2023 (main track)
Keywords: Bayesian optimization;Expected improvement;Quantum computing;Variational Quantum Eigensolvers
Decision: Poster
Title: Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
Authors: Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter
Affiliations: Machine Learning Lab, University of Freiburg
Conference: nips 2023 (main track)
Keywords: learning curve extrapolation;prior-data fitted networks;transformers;Bayesian inference;uncertainty estimation;model selection
Decision: Poster
Title: Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
Authors: Dmitry Chistikov, Matthias Englert, Ranko Lazic
Affiliations: University of Warwick
Conference: nips 2023 (main track)
Keywords: implicit bias;implicit regularization;training dynamics;ReLU networks;gradient flow;theoretical analysis
Decision: Poster
Title: Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression
Authors: Youngsoo Baek, Samuel Berchuck, Sayan Mukherjee
Affiliations: Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27705; Center for Scalable Data Analysis and Artiﬁcial Intelligence, Universität Leipzig, Leipzig 04105; ∗Deparments of Mathematics, Computer Science, Biostatistics & Bioinformatics, Duke University, NC; †Max Planck Institute for Mathematics in the Sciences, Leipzig; Department of Statistical Science, Duke University, Durham, NC 27705
Conference: nips 2023 (main track)
Keywords: asymptotics;random features model;Bayesian inference
Decision: Poster
Title: SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning
Authors: Yunxiang Zhang, Xiaojun Wan
Affiliations: Peking University, Beijing, China; University of Michigan, Ann Arbor, USA
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: generative commonsense reasoning;generative language model
Decision: Poster
Title: Text Alignment Is An Efficient Unified Model for Massive NLP Tasks
Authors: Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu
Affiliations: UC San Diego
Conference: nips 2023 (main track)
Keywords: Text Alignment;Efficient Unified Model;NLU Tasks;Factual Consistency Evaluation;QA with Unanswerable Question
Decision: Poster
Title: Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
Authors: Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, BIN FU, Tao Chen, Gang Yu, Shenghua Gao
Affiliations: School of Information Science and Technology, Fudan University, China; ShanghaiTech University, Tencent PCG, China; ShanghaiTech University, Shanghai Engineering Research Center of Intelligent Vision and Imaging, Shanghai Engineering Research Center of Energy Efficient and Custom AI IC; Tencent PCG, China
Conference: nips 2023 (main track)
Keywords: Conditional 3D Shape Generation;Neural 3D Representation;3D Reconstruction
Decision: Poster
Title: A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship
Authors: Shiyu Hu, Dailing Zhang, wu meiqi, Xiaokun Feng, Xuchen Li, Xin Zhao, Kaiqi Huang
Affiliations: School of Computer Science and Technology, University of Chinese Academy of Sciences; School of Computer Science, Beijing University of Posts and Telecommunications; School of Artificial Intelligence, University of Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Visual Object Tracking;Multi-modal Tracking;Long Video Understanding;Benchmark and Evaluation
Decision: Poster
Title: StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Authors: Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan
Affiliations: MIT CSAIL; Google Research, MIT CSAIL; Google Research
Conference: nips 2023 (main track)
Keywords: representation learning;synthetic images;text-to-image models
Decision: Poster
Title: FaceComposer: A Unified Model for Versatile Facial Content Creation
Authors: Jiayu Wang, Kang Zhao, Yifeng Ma, Shiwei Zhang, Yingya Zhang, Yujun Shen, Deli Zhao, Jingren Zhou
Affiliations: Alibaba Group; Ant Group; Tsinghua University
Conference: nips 2023 (main track)
Keywords: diffusion model; talking face generation; face generation
Decision: Poster
Title: Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Authors: Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Affiliations: Nanyang Technological University; C3 AI, Singapore
Conference: nips 2023 (main track)
Keywords: adversarial robustness;graph neural networks
Decision: Spotlight
Title: Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case
Authors: Taihei Oki, The University of Tokyo, Tokyo, Japan, oki@mist.i.u-tokyo.ac.jp "3026 Shinsaku Sakaue, The University of Tokyo, Tokyo, Japan, sakaue@mist.i.u-tokyo.ac.jp 
Affiliations: The University of Tokyo, Tokyo, Japan
Conference: nips 2023 (main track)
Keywords: algorithms with predictions;beyond the worst-case analysis of algorithms;time complexity;combinatorial optimization;discrete convex analysis;submodular functions
Decision: Poster
Title: TIES-Merging: Resolving Interference When Merging Models
Authors: Prateek Yadav, Derek Tam, Leshem Choshen, Colin Raffel, Mohit Bansal
Affiliations: IBM Research, MIT; University of North Carolina at Chapel Hill
Conference: nips 2023 (main track)
Keywords: Model Merging;Fusing;Collaborative Training;Robust Fine-tuning;Federated Learning
Decision: Poster
Title: Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
Authors: Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang
Affiliations: University of Science and Technology of China; Shanghai Jiao Tong University; Institute of Computing Technology, Chinese Academy of Sciences; ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: Medical Image;Computed Tomography;Metal Arftiacts;Implicit Neural Representation;Unsupervised Learning
Decision: Poster
Title: BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
Authors: Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin
Affiliations: Ant Group, Hangzhou, China; Shanghai Jiao Tong University, Shanghai, China
Conference: nips 2023 (main track)
Keywords: time series forecasting;basis learning;self-supervised learning
Decision: Poster
Title: Color Equivariant Convolutional Networks
Authors: Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert
Affiliations: Computer Vision Lab, Delft University of Technology, Delft, The Netherlands
Conference: nips 2023 (main track)
Keywords: color equivariance;equivariance;color robustness;equivariant convolutions
Decision: Poster
Title: LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Authors: Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
Affiliations: Sony AI; The University of Texas at Austin; Tsinghua University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: lifelong learning;continual learning;multitask learning;robot learning
Decision: Poster
Title: Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
Authors: weitao Du, Jiujiu Chen, Xuecang Zhang, Zhi-Ming Ma, Shengchao Liu
Conference: nips 2023 (main track)
Keywords: Molecule Joint Auto-encoding;Molecule Joint Self-supervised Learning;Markov processes;contrastive learning;molecule representation learning
Decision: Poster
Title: WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting
Authors: Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, Huaiyu Wan
Affiliations: School of Computer and Information Technology, Beijing Jiaotong University, China
Conference: nips 2023 (main track)
Keywords: long-range time series forecasting;information transmission;long- and short-term repetitive patterns;global and local correlations
Decision: Spotlight
Title: CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
Authors: Wanxing Chang, Ye Shi, Jingya Wang
Affiliations: ShanghaiTech University, Shanghai Engineering Research Center of Intelligent Vision and Imaging; ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: Learning with Noisy Labels;Optimal Transport;Curriculum Learning
Decision: Poster
Title: Private Everlasting Prediction
Authors: Moni Naor, Kobbi Nissim, Uri Stemmer, Chao Yan
Affiliations: Department of Computer Science, Georgetown University; Blavatnik School of Computer Science, Tel Aviv University, and Google Research; Department of Computer Science and Applied Math, Weizmann Institute of Science
Conference: nips 2023 (main track)
Keywords: Differential privacy;private learning;private prediction
Decision: Oral
Title: SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
Authors: Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
Affiliations: École polytechnique, IP Paris, CNRS CMAP UMR 7641; ENS de Lyon, CNRS UMPA UMR 5669; Univ. Lyon, ENS de Lyon, UCBL, CNRS, Inria LIP UMR 5668; Université Bretagne Sud, CNRS IRISA UMR 6074
Conference: nips 2023 (main track)
Keywords: Dimension Reduction;Optimal Transport;Affinities
Decision: Poster
Title: Operation-Level Early Stopping for Robustifying Differentiable NAS
Authors: Shen Jiang, Zipeng Ji, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University
Conference: nips 2023 (main track)
Keywords: Differentiable neural architecture search; Image classification; Failure of DARTS
Decision: Poster
Title: Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
Authors: Yifei Wang, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang
Affiliations: Department of Engineering, University of Cambridge; School of Mathematical Sciences, Peking University; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University; Peng Cheng Laboratory; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University
Conference: nips 2023 (main track)
Keywords: Adversarial Training
Decision: Poster
Title: Credal Marginal MAP
Authors: Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee, Fabio Cozman, Alexander Gray
Affiliations: IBM Research, Ireland; Universidade de São Paulo, Brazil; IBM Research, USA
Conference: nips 2023 (main track)
Keywords: graphical models;credal networks;probabilistic inference
Decision: Poster
Title: Closing the gap between the upper bound and lower bound of Adam's iteration complexity
Authors: Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen
Affiliations: University of Science and Technology of China; Xi’an Jiaotong University; Microsoft Research; Institute of Computing Technology, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Adam;Convergence;Upper Bound;Lower Bound
Decision: Poster
Title: Advancing Bayesian Optimization via Learning Correlated Latent Space
Authors: Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo Kim
Affiliations: Computer Science & Engineering, Korea University
Conference: nips 2023 (main track)
Keywords: Bayesian optimization;smoothness regularization;variational autoencoder
Decision: Poster
Title: PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones
Authors: Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Vempala, Alec Tan, Jocelyn Heath, Unnathi Kumar, Priyanka Mosur, Tavenner Hall, Rajandeep Singh, Christopher Cui, Glenn Cameron, Sohier Dane, Garrett Tanzer
Affiliations: Deaf Professional Arts Network; Georgia Institute of Technology; Google; Rochester Institute of Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: American Sign Language;gesture;dataset
Decision: Poster
Title: Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
Authors: Owen Queen, Tom Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
Affiliations: Harvard University; MIT Lincoln Laboratory; University of Virginia, MIT
Conference: nips 2023 (main track)
Keywords: Explainability;Interpretability;Time Series;Explanations;Temporal patterns;Model Understanding;Latent space;Self-supervised learning
Decision: Spotlight
Title: Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
Authors: suresh kumar amalapuram, Sumohana Channappayya, Bheemarjuna Reddy Tamma
Affiliations: Dept. of Computer Science and Engineering, Indian Institute of Technology Hyderabad, India; Dept. of Electrical Engineering, Indian Institute of Technology Hyderabad, India
Conference: nips 2023 (main track)
Keywords: Continual learning;Class imbalance;scalability;Network intrusion detection;and Cybersecurity
Decision: Poster
Title: What Can We Learn from Unlearnable Datasets?
Authors: Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein
Affiliations: New York University; University of Maryland
Conference: nips 2023 (main track)
Keywords: data poisoning;poisons;unlearnable dataset;data protection;imperceptible perturbations;adversarial machine learning
Decision: Poster
Title: HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Authors: Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang
Affiliations: Microsoft Research Asia; Zhejiang University
Conference: nips 2023 (main track)
Keywords: LLM;ChatGPT;Hugging Face;Autonomous LLM
Decision: Poster
Title: Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
Authors: Xingdong Feng, Xin HE, Caixing Wang, Chao Wang, Jingnan Zhang
Affiliations: School of Statistics and Management, Shanghai University of Finance and Economics; International Institute of Finance, School of Management, University of Science and Technology of China
Conference: nips 2023 (main track)
Keywords: kernel methods;covariate shift;reproducing kernel Hilbert space (RKHS)
Decision: Poster
Title: Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
Authors: Lisha Chen, Heshan Fernando, Yiming Ying, Tianyi Chen
Affiliations: University of Sydney, Camperdown, Australia; Rensselaer Polytechnic Institute, Troy, NY, United States
Conference: nips 2023 (main track)
Keywords: Generalization;algorithm stability;multi-objective optimization;gradient conflict
Decision: Poster
Title: Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
Authors: Xiang Cheng, Bohan Wang, Jingzhao Zhang, Yusong Zhu
Affiliations: IIIS, Tsinghua; Shanghai Qizhi Institute; MIT; USTC; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Sampling;MCMC;Conditional Mixing;Non-log-concave Distributions
Decision: Poster
Title: PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
Authors: Peiqing Yang, Shangchen Zhou, Qingyi Tao, Chen Change Loy
Affiliations: SenseTime Research, Singapore; S-Lab, Nanyang Technological University
Conference: nips 2023 (main track)
Keywords: Face Restoration;Diffusion
Decision: Poster
Title: FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation
Authors: Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou
Affiliations: National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; Huawei Noah’s Ark Lab; Center for Data Science, Peking University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: text-to-video generation;fine-grained evaluation;multi-aspect benchmark
Decision: Poster
Title: OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Authors: Zhou Zhiyao, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang
Affiliations: Rice University; School of Software Technology, Zhejiang University, Ningbo, China; College of Computer Science, Zhejiang University, Hangzhou, China; New York University Shanghai
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Graph Representation Learning;Graph Structure Learning;Benchmark
Decision: Poster
Title: Star-Shaped Denoising Diffusion Probabilistic Models
Authors: Andrey Okhotin, Dmitry Molchanov, Arkhipkin Vladimir, Grigory Bartosh, Viktor Ohanesian, Aibek Alanov, Dmitry Vetrov
Affiliations: Independent Researcher; HSE University, MSU University, Moscow, Russia; AIRI, HSE University, Moscow, Russia; BAYESG, Budva, Montenegro; Sber AI, Moscow, Russia; Constructor University, Bremen, Germany; AMLab, Informatics Institute, University of Amsterdam, Amsterdam, Netherlands
Conference: nips 2023 (main track)
Keywords: Generative models;Diffusion;Exponential Family
Decision: Poster
Title: Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning
Authors: Hengli Li, Song-Chun Zhu, Zilong Zheng
Affiliations: 1National Key Laboratory of General Artificial Intelligence, BIGAI; 2Yuanpei College, PKU; 1National Key Laboratory of General Artificial Intelligence, BIGAI; 3Institute for Artificial Intelligence, PKU; 4School of Intelligence Science and Technology, PKU; 5Department of Automation, THU
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Pragmatic Reasoning;Implicature;Conversation;Dataset;Inference
Decision: Poster
Title: Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control
Authors: Xingang Guo, Darioush Keivan, Geir Dullerud, Peter Seiler, Bin Hu
Affiliations: EECS, UMich; ECE, CSL, UIUC; MSE, CSL, UIUC
Conference: nips 2023 (main track)
Keywords: Structured $\mathcal{H}_\infty$ Control;Nonsmooth Optimization;Complexity Analysis
Decision: Poster
Title: Understanding the detrimental class-level effects of data augmentation
Authors: Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Wilson
Affiliations: New York University; Meta AI
Conference: nips 2023 (main track)
Keywords: data augmentation;class-dependent bias
Decision: Poster
Title: PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Authors: Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo
Affiliations: Scool of Data Science, The Chinese University of Hong Kong, Shenzhen, China; University of Pennsylvania, PA, USA
Conference: nips 2023 (main track)
Keywords: Pac-Bayes;Adversarial Robustness;Generalization
Decision: Poster
Title: A generative model of the hippocampal formation trained with theta driven local learning rules
Authors: Tom M George, Kimberly Stachenfeld, Caswell Barry, Claudia Clopath, Tomoki Fukai
Affiliations: Google DeepMind, London, UK; Dept. of Cell and Developmental Biology, UCL, UK; Okinawa Institute of Science and Technology, Japan; Sainsbury Wellcome Centre, UCL, UK; Bioengineering Dept., Imperial College, UK
Conference: nips 2023 (main track)
Keywords: hippocampus;path integration;local learning;generative models;oscillations;inference;Helmholtz machine;wake-sleep
Decision: Poster
Title: Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Authors: Shengchao Liu, weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer Chayes, Hongyu Guo, Jian Tang
Affiliations: University of Chinese Academy of Sciences; HEC Montréal, CIFAR AI Chair; Carnegie Mellon University; University of California, Berkeley; National Research Council Canada; University of Toronto; Mila - Québec Artificial Intelligence Institute, Université de Montréal; Massachusetts Institute of Technology; California Institute of Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: physics;geometric representation;equivariant;group theory;pretraining;molecule;chemistry;protein;biology;crystal;crystalline material
Decision: Poster
Title: Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Authors: Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec
Affiliations: Department of Computer Science, Stanford University; Department of Statistics, Stanford University; Department of Mathematics, Stanford University
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Conformal Prediction;Uncertainty Quantification
Decision: Spotlight
Title: FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
Authors: Chanakya Ekbote, Ajinkya Deshpande, Arun Iyer, SUNDARARAJAN SELLAMANICKAM, Ramakrishna Bairi
Affiliations: Microsoft Research India
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Unsupervised Representation Learning;Graph Filters
Decision: Poster
Title: Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation
Authors: Jaemin Cho, Abhay Zala, Mohit Bansal
Affiliations: UNC Chapel Hill
Conference: nips 2023 (main track)
Keywords: text-to-image generation; visual programming; text-to-image evaluation; step-by-step generation; interpretability; explainability
Decision: Poster
Title: Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
Authors: GUOJUN XIONG, Jian Li
Affiliations: Stony Brook University
Conference: nips 2023 (main track)
Keywords: Restless bandits;Whittle index policy;Q-learning;Two-timescale stochastic approximation;Neural network function approximation
Decision: Poster