hunoutl/paperlists huggingface dataset:
Title: Equivariant Single View Pose Prediction Via Induced and Restriction Representations
Authors: Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters
Affiliations: Khoury College of Computer Sciences, Northeastern University; Department of Electrical and Computer Engineering, Northeastern University
Conference: nips 2023 (main track)
Keywords: Equivarient Machine Learning;Pose Prediction;Computer Vision
Decision: Poster
Title: Compositional Foundation Models for Hierarchical Planning
Authors: Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie Kaelbling, Akash Srivastava, Pulkit Agrawal
Affiliations: MIT-IBM Watson AI Lab, Massachusetts Institute Technology; Improbable AI Lab, MIT-IBM Watson AI Lab, Massachusetts Institute Technology; Improbable AI Lab, Massachusetts Institute Technology; Massachusetts Institute Technology
Conference: nips 2023 (main track)
Keywords: Foundation Models;Composition;Hierarchical Planning
Decision: Poster
Title: Characterizing Out-of-Distribution Error via Optimal Transport
Authors: Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia Sycara
Affiliations: Carnegie Mellon University; Vanderbilt University
Conference: nips 2023 (main track)
Keywords: Distribution Shift;OOD Error Prediction;Optimal Transport;Deep Learning
Decision: Poster
Title: Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
Authors: Woojin Cho, Kookjin Lee, Donsub Rim, Noseong Park
Affiliations: Washington University in St. Louis; Yonsei University; Arizona State University
Conference: nips 2023 (main track)
Keywords: Scientific machine learning;Physics-informed neural networks;Meta learning;Hypernetworks
Decision: Spotlight
Title: Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks
Authors: Daogao Liu, Arun Ganesh, Sewoong Oh, Abhradeep Guha Thakurta
Affiliations: University of Washington and Google Research; Google DeepMind; University of Washington; Google Research
Conference: nips 2023 (main track)
Keywords: Differential Privacy;Non-convex optimization;Stationary points;Exponential Mechanism
Decision: Spotlight
Title: Aligning Gradient and Hessian for Neural Signed Distance Function
Authors: Ruian Wang, Zixiong Wang, Yunxiao Zhang, Shuangmin Chen, Shiqing Xin, Changhe Tu, Wenping Wang
Affiliations: ShanDong University; TEXAS A&M UNIVERSITY; Nankai University; Shandong University; Qingdao University of Science and Technology
Conference: nips 2023 (main track)
Keywords: implicit neural representation;signed distance function;shape operator
Decision: Poster
Title: Large Language Models of Code Fail at Completing Code with Potential Bugs
Authors: Tuan Dinh, Jinman Zhao, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
Affiliations: University of Wisconsin–Madison; Amazon Web Services
Conference: nips 2023 (main track)
Keywords: language model of code; code completion; language model; software engineering; machine learning for code
Decision: Poster
Title: MathNAS: If Blocks Have a Role in Mathematical Architecture Design
Authors: Qinsi Wang, Jinghan Ke, Zhi Liang, Sihai Zhang
Affiliations: University of Science and Technology of China; Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences & School of Microelectronics, University of Science and Technology of China; School of Life Sciences, University of Science and Technology of China
Conference: nips 2023 (main track)
Keywords: Neural Architecture Search
Decision: Poster
Title: Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions
Authors: Kai Tan, Pierre C Bellec
Affiliations: Department of Statistics, Rutgers University, Piscataway, NJ 08854
Conference: nips 2023 (main track)
Keywords: High-dimensional statistics;statistical inference;multi-class classification;asymptotic normality;multinomial logistic regression
Decision: Poster
Title: CLadder: Assessing Causal Reasoning in Language Models
Authors: Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng LYU, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
Affiliations: MPI for Intelligent Systems, Tübingen; University of Hong Kong; MPI for Intelligent Systems, Tübingen; ETH Zürich; University of Washington; IIT Kharagpur; ETH Zürich
Conference: nips 2023 (main track)
Keywords: Large Language Models;Causal Reasoning;Causal Inference;Benchmark Dataset;Natural Language Processing
Decision: Poster
Title: DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
Authors: Lazar Atanackovic, Alexander Tong, Bo Wang, Leo J Lee, Yoshua Bengio, Jason Hartford
Affiliations: Mila - Quebec AI Institute, Universit ´e de Montr ´eal, CIFAR Fellow; Mila - Quebec AI Institute, Universit ´e de Montr ´eal, Valence Labs; University of Toronto, Vector Institute; University of Toronto, Vector Institute, University Health Network; Mila - Quebec AI Institute, Universit ´e de Montr ´eal
Conference: nips 2023 (main track)
Keywords: Bayesian Structure Learning;Generative Flow Networks;Single-cell;Dynamical Systems
Decision: Poster
Title: Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
Authors: Naoki Egami, Musashi Hinck, Brandon Stewart, Hanying Wei
Affiliations: Princeton University; Columbia University
Conference: nips 2023 (main track)
Keywords: Computational Social Science;Large Language Models;Statistical Inference;Causal Inference
Decision: Poster
Title: URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
Authors: Michael Kirchhof, Bálint Mucsányi, Seong Joon Oh, Dr. Enkelejda Kasneci
Affiliations: University of Tübingen, Tübingen AI Center; University of Tübingen; TUM University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Representation Learning;Uncertainty;Zero-shot;Transfer;Generalization;Downstream;Benchmark
Decision: Poster
Title: POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
Authors: Antonin Vobecky, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
Affiliations: valeo.ai, Paris, France; CIIRC CTU in Prague
Conference: nips 2023 (main track)
Keywords: open-vocabulary segmentation;voxel occupancy prediction;semantic segmentation;autonomous driving;language-image alignment
Decision: Poster
Title: On Sparse Modern Hopfield Model
Authors: Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu
Affiliations: Department of Computer Science, Northwestern University, Evanston, IL 60208 USA; Department of Statistics and Data Science, Northwestern University, Evanston, IL 60208 USA; Department of Physics, National Taiwan University, Taipei 10617, Taiwan
Conference: nips 2023 (main track)
Keywords: Hopfield Models; Modern Hopfield Networks; Sparse Attention; Memory Networks
Decision: Poster
Title: Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
Authors: Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He
Affiliations: University of Science and Technology of China; National University of Singapore
Conference: nips 2023 (main track)
Keywords: Post-hoc Explainability;Explanation Evaluation;Graph Neural Network;Robustness Analysis
Decision: Oral
Title: How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget
Authors: Guy Hacohen, Daphna Weinshall
Affiliations: School of Computer Science & Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel; School of Computer Science & Engineering, Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
Conference: nips 2023 (main track)
Keywords: Deep Active learning;Low budget;High budget;Deep learning
Decision: Poster
Title: Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View
Authors: Zhiyu Lin, Yifei Gao, Yunfan Yang, Jitao Sang
Affiliations: Beijing Jiaotong University, China; Beijing Jiaotong University, China and Peng Cheng Lab, Shenzhen 518066, China
Conference: nips 2023 (main track)
Keywords: visual models;robustness;frequency domain;long-tailed distribution
Decision: Poster
Title: RGMIL: Guide Your Multiple-Instance Learning Model with Regressor
Authors: Zhaolong Du, Shasha Mao, Yimeng Zhang, Shuiping Gou, Licheng Jiao, Lin Xiong
Affiliations: Xidian University; SenseTime
Conference: nips 2023 (main track)
Keywords: Video Analysis;Multiple-Instance Learning;Representation learning
Decision: Poster
Title: AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
Authors: Jiakang Yuan, Bo Zhang, Xiangchao Yan, Botian Shi, Tao Chen, Yikang LI, Yu Qiao
Affiliations: School of Information Science and Technology, Fudan University; Shanghai Artificial Intelligence Laboratory
Conference: nips 2023 (main track)
Keywords: 3D Object Detection;3D Pre-training;Autonomous Driving
Decision: Poster
Title: M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery
Authors: Yuanqi Du, Yingheng Wang, Yining Huang, Jianan Canal Li, Yanqiao Zhu, Tian Xie, Chenru Duan, John Gregoire, Carla Gomes
Affiliations: Microsoft Quantum; Northwestern; UCB; Caltech; MSR AI4Science; Cornell; UCLA
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Materials Discovery
Decision: Poster
Title: What Planning Problems Can A Relational Neural Network Solve?
Authors: Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Kaelbling
Affiliations: MIT Computer Science & Artificial Intelligence Laboratory; MIT Computer Science & Artificial Intelligence Laboratory, MIT Department of Brain and Cognitive Sciences, Center for Brains, Minds and Machines
Conference: nips 2023 (main track)
Keywords: Planning;Relational Neural Network;Circuit Complexity
Decision: Spotlight
Title: Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
Authors: Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang
Affiliations: 1. Center for Research on Intelligent Perception and Computing, National Key Laboratory for Multi-modal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences; 2. School of Artificial Intelligence, University of Chinese Academy of Sciences; 3. National University of Singapore; 4. Nanyang Technological University; 3. National University of Singapore; 1. Center for Research on Intelligent Perception and Computing, National Key Laboratory for Multi-modal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences; 2. School of Artificial Intelligence, University of Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Vision-and-Language Navigation; High-Frequency; Data Augmentation
Decision: Poster
Title: Equivariant flow matching
Authors: Leon Klein, Andreas Krämer, Frank Noe
Affiliations: Microsoft Research AI4Science, Freie Universität Berlin, Rice University; Freie Universität Berlin
Conference: nips 2023 (main track)
Keywords: Normalizing Flows;Flow Matching;Equivariance;Boltzmann Generators;Molecular Dynamics;Optimal Transport
Decision: Poster
Title: LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
Authors: Zhenfei Yin, Jiong Wang, Jianjian Cao, Zhelun Shi, Dingning Liu, Mukai Li, Xiaoshui Huang, Zhiyong Wang, Lu Sheng, LEI BAI, Jing Shao, Wanli Ouyang
Affiliations: Fudan University; The University of Sydney; Dalian University of Technology; Shanghai Artificial Intelligence Laboratory; Beihang University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multi-modality;Large Language Model
Decision: Poster
Title: Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
Authors: Daesol Cho, Seungjae Lee, H. Jin Kim
Affiliations: Seoul National University, Artificial Intelligence Institute of Seoul National University (AIIS); Artificial Intelligence Institute of Seoul National University (AIIS); Seoul National University, Automation and Systems Research Institute (ASRI)
Conference: nips 2023 (main track)
Keywords: Curriculum learning;Out-of-distribution disagreement;Underspecification;Outcome-directed RL
Decision: Poster
Title: Contextual Gaussian Process Bandits with Neural Networks
Authors: Haoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Shen, Zeyu Zheng
Affiliations: Department of Industrial Engineering & Operations Research, University of California, Berkeley, Berkeley, CA 94720
Conference: nips 2023 (main track)
Keywords: contextual bandit;Gaussian process;neural network
Decision: Poster
Title: Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning
Authors: Ronald Xie, Kuan Pang, Sai Chung, Catia Perciani, Sonya MacParland, Bo Wang, Gary Bader
Affiliations: University of Toronto, Toronto General Hospital Research Institute; Toronto General Hospital Research Institute; University of Toronto, Vector Institute, University Health Network, The Donnelly Centre; University of Toronto, Vector Institute, University Health Network; University of Toronto, University Health Network, The Donnelly Centre, Canadian Institute for Advanced Research (CIFAR); University of Toronto, Vector Institute, The Donnelly Centre
Conference: nips 2023 (main track)
Keywords: BLEEP;Histology;H&E;Gene Expression Prediction;Spatial Transcriptomics;Contrastive Learning
Decision: Poster
Title: Direct Training of SNN using Local Zeroth Order Method
Authors: Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes, Xiaohan Zhao, Giulia De Masi, Huan Xiong, Bin Gu
Affiliations: ARRC, Technology Innovation Institute, UAE; School of Artificial Intelligence, Jilin University, China; Nanjing University of Information Science and Technology, China; Mohamed bin Zayed University of Artificial Intelligence, UAE; Harbin Institute of Technology, China
Conference: nips 2023 (main track)
Keywords: Spiking Neural Network;Zeroth Order;Surrogate Gradient
Decision: Poster
Title: A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
Authors: Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch
Affiliations: University of Adelaide; University of Oxford; University College London
Conference: nips 2023 (main track)
Keywords: Wasserstein gradient flow;generalised variational inference;deep ensembles;Bayesian deep learning;variational Bayes
Decision: Oral
Title: Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee
Authors: Yuanshi Liu, Cong Fang, Tong Zhang
Affiliations: Department of Computer Science & Engineering, the Hong Kong University of Science and Technology; School of Intelligence Science and Technology, Peking University
Conference: nips 2023 (main track)
Keywords: Langevin;Dimension dependence;Acceleration
Decision: Poster
Title: ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks
Authors: Jongseok Park, Kyungmin Bin, Gibum Park, Sangtae Ha, Kyunghan Lee
Affiliations: Seoul National University; University of Colorado Boulder
Conference: nips 2023 (main track)
Keywords: Deep Neural Network;Deep Learning;Parallel Execution Algorithm;Parallelization;Deep Learning Parallelism;Dynamic;Asynchronous;Scheduling;Dynamic Scheduling;Dynamic Execution;tile;tiling;dataflow;dataflow graph;tile-based dataflow graph;opportunistic parallelism
Decision: Poster
Title: Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
Authors: Ziye Ma, Javad Lavaei, Somayeh Sojoudi
Affiliations: Department of IEOR, UC Berkeley; Department of EECS, UC Berkeley; Department of EECS, ME, UC Berkeley
Conference: nips 2023 (main track)
Keywords: non-convex optimization;low-rank matrix optimization;matrix sensing;implicit bias;tensor;over-parametrization
Decision: Poster
Title: XAGen: 3D Expressive Human Avatars Generation
Authors: Zhongcong XU, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou
Affiliations: Show Lab, National University of Singapore; ByteDance
Conference: nips 2023 (main track)
Keywords: Human Avatar;3D-aware GAN
Decision: Poster
Title: Inferring the Future by Imagining the Past
Authors: Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
Affiliations: MIT CSAIL; UC San Diego; MIT Brain and Cognitive Sciences
Conference: nips 2023 (main track)
Keywords: cognitive science;cogsci;inverse planning;Bayesian inference;theory of mind;Monte Carlo;inverse reinforcement learning
Decision: Spotlight
Title: Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
Authors: Zangwei Zheng, Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You
Affiliations: Noah’s Ark Lab, Huawei; Department of Computer Science, National University of Singapore
Conference: nips 2023 (main track)
Keywords: large language models;inference optimization;batch processing
Decision: Poster
Title: Flat Seeking Bayesian Neural Networks
Authors: Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Phung, Trung Le
Affiliations: Department of Data Science and AI, Monash University, Australia; Department of Data Science and AI, Monash University, Australia; VinAI, Vietnam; VinAI, Vietnam; New York University, United States
Conference: nips 2023 (main track)
Keywords: Bayesian;sharpness-aware;posterior
Decision: Poster
Title: Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
Authors: Ran Ran, Nuo Xu, Tao Liu, Wei Wang, Gang Quan, Wujie Wen
Affiliations: Lawrence Technological University; Florida International University; North Carolina State University; Anonym, Inc.; Lehigh University
Conference: nips 2023 (main track)
Keywords: Cryptographic inference;Graph Convolutional Network;Parallel Packing
Decision: Poster
Title: Unleash the Potential of Image Branch for Cross-modal 3D Object Detection
Authors: Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing
Affiliations: The Chinese University of Hong Kong; City University of Hong Kong
Conference: nips 2023 (main track)
Keywords: 3D object detection;3D point cloud
Decision: Poster
Title: Graph-Structured Gaussian Processes for Transferable Graph Learning
Authors: Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He
Affiliations: University of Illinois at Urbana-Champaign; Instacart; University of Illinois at Urbana-Champaign, USDA ARS Global Change and Photosynthesis Research Unit
Conference: nips 2023 (main track)
Keywords: graph learning;transfer learning;Gaussian process
Decision: Poster
Title: Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Authors: Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
Affiliations: JKU LIT SAL eSPML Lab, Institute for Machine Learning, Johannes Kepler University, Linz, Austria; ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University, Linz, Austria
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Language Models;History Compression;Partial Observability;Foundation Models;Interpretability;Explainable AI
Decision: Poster
Title: DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
Authors: Zhiao Huang, Feng Chen, Yewen Pu, Chunru Lin, Hao Su, Chuang Gan
Affiliations: MIT-IBM Watson AI Lab, UMass Amherst; Institute for Interdisciplinary Information Sciences, Tsinghua University; Autodesk; Computer Science & Engineering, University of California, San Diego; University of California, San Diego; UMass Amherst
Conference: nips 2023 (main track)
Keywords: Differentiable physics; Soft body manipulation
Decision: Poster
Title: Learning and processing the ordinal information of temporal sequences in recurrent neural circuits
Authors: xiaolong zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi
Affiliations: Center for Neurointelligence, School of Medicine, Chongqing University.; Biomedical Engineering, School of Medicine, Tsinghua University; Department of Psychology, Tsinghua University; School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Center of Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; Qiyuan Lab, Beijing, China.; Huawei Technologies.
Conference: nips 2023 (main track)
Keywords: temporal sequence processing;temporal order structure;tree-structured attractor
Decision: Poster
Title: Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
Authors: Victor Letzelter, Mathieu Fontaine, Mickael Chen, Patrick Pérez, Slim Essid, Gaël Richard
Affiliations: valeo.ai, Paris, France; LTCI, Télécom Paris, Institut Polytechnique de Paris, France
Conference: nips 2023 (main track)
Keywords: Multiple Choice Learning;Audio processing.
Decision: Poster
Title: Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization
Authors: Haggai Agmon, Yoram Burak
Affiliations: The Hebrew University of Jerusalem, Israel and Stanford University, USA; The Hebrew University of Jerusalem, Israel
Conference: nips 2023 (main track)
Keywords: Theoretical Neuroscience;Computational Neuroscience;Recurrent Neural Networks;Attractor models
Decision: Poster
Title: LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
Authors: Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogerio Feris, Horst Bischof
Affiliations: Institute of Computer Graphics and Vision, TU Graz, Austria; Institute of Computer Graphics and Vision, TU Graz, Austria; Christian Doppler Laboratory for Embedded Machine Learning; MIT-IBM Watson AI Lab, USA
Conference: nips 2023 (main track)
Keywords: VL Models
Decision: Poster
Title: Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks
Authors: Jun Yin, Chaozhuo Li, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang
Affiliations: Microsoft Research Asia; Central South University
Conference: nips 2023 (main track)
Keywords: Intrinsic Interpretability;Graph Neural Networks;Pre-training and Fine-tuning
Decision: Poster
Title: Understanding and Improving Feature Learning for Out-of-Distribution Generalization
Authors: Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng
Affiliations: Hong Kong Baptist University; RIKEN AIP; Tencent AI Lab; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Out-of-Distribution Generalization;Feature Learning;Invariant Risk Minimization
Decision: Poster
Title: TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter
Authors: Yiqun Chen, James Zou
Affiliations: Departments of Biomedical Data Science; Electrical Engineering; and Computer Science, Stanford University, Stanford, CA 94305; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Generative AI;Diffusion model;Large-scale Twitter datasets
Decision: Poster
Title: Doubly-Robust Self-Training
Authors: Banghua Zhu, Mingyu Ding, Philip Jacobson, Ming Wu, Wei Zhan, Michael Jordan, Jiantao Jiao
Affiliations: Department of EECS, UC Berkeley
Conference: nips 2023 (main track)
Keywords: semi-supervised learning;self-training;auto-labeling;self-labeling;doubly robust
Decision: Poster
Title: Causal Discovery from Subsampled Time Series with Proxy Variables
Authors: Mingzhou Liu, Xinwei Sun, Lingjing Hu, Yizhou Wang
Affiliations: School of Computer Science, Peking University; Center on Frontiers of Computing Studies (CFCS), Peking University; School of Computer Science, Peking University; Center on Frontiers of Computing Studies (CFCS), Peking University; Institute for Artificial Intelligence, Peking University; School of Data Science, Fudan University; Yanjing Medical College, Capital Medical University
Conference: nips 2023 (main track)
Keywords: causal discovery;time series;subsampling;proxy variables
Decision: Poster