hunoutl/paperlists huggingface dataset:
Title: DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
Authors: Youngjoong Kwon, Lingjie Liu, Henry Fuchs, Marc Habermann, Christian Theobalt
Affiliations: Max Planck Institute for Informatics, Saarland Informatics Campus; University of North Carolina at Chapel Hill; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: DELIFFAS: Avatar Modeling;Avatar Synthesis;Animatable Human;Light Fields;Human Performance Capture
Decision: Poster
Title: Maximum Independent Set: Self-Training through Dynamic Programming
Authors: Lorenzo Brusca, Lars C.P.M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
Affiliations: University of Wisconsin-Madison; École Polytechnique Fédérale de Lausanne, Switzerland
Conference: nips 2023 (main track)
Keywords: Maximum Independent Set;Combinatorial Optimization;Graph Neural Networks;Dynamic Programming
Decision: Poster
Title: RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation
Authors: MD WAHIDUZZAMAN KHAN, Hongwei Sheng, Hu Zhang, Heming Du, Sen Wang, Minas Coroneo, Farshid Hajati, Sahar Shariflou, Michael Kalloniatis, Jack Phu, Ashish Agar, Zi Huang, S.Mojtaba Golzan, Xin Yu
Affiliations: University of New South Wales; Australian National University; University of Queensland; University of Technology Sydney; Victoria University; University of Houston-Downtown
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Retinal Vessel Segmentation;Retinal Vessel Dataset;Handheld
Decision: Poster
Title: GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
Authors: Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
Affiliations: Griffith University, Australia; Monash University, Australia; Chinese Academy of Sciences, China; University of Oxford, UK; Harbin Institute of Technology (Shenzhen), China
Conference: nips 2023 (main track)
Keywords: graph neural networks;GNN model evaluation;node classification accuracy
Decision: Poster
Title: Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
Authors: Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
Affiliations: Beijing Institute of Technology; University of Oxford; University of Macau; Tongji University; Macquarie University; University of Technology Sydney; USTC; HeFei University of Technology
Conference: nips 2023 (main track)
Keywords: time series forecasting;multi-layer perceptrons;frequency domain
Decision: Poster
Title: Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
Authors: Weihang Dai, Yao DU, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li
Affiliations: The Hong Kong University of Science and Technology, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, Shenzhen; The Hong Kong University of Science and Technology; Fudan University
Conference: nips 2023 (main track)
Keywords: Semi-supervised learning;deep regression;contrastive learning
Decision: Poster
Title: AIMS: All-Inclusive Multi-Level Segmentation for Anything
Authors: Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang
Affiliations: UC Merced; Adobe Research; Google Research; QQ Brower Lab, Tencent; Wuhan University
Conference: nips 2023 (main track)
Keywords: Image Segmentation
Decision: Spotlight
Title: History Filtering in Imperfect Information Games: Algorithms and Complexity
Authors: Christopher Solinas, Doug Rebstock, Nathan Sturtevant, Michael Buro
Affiliations: Department of Computing Science, University of Alberta; Alberta Machine Intelligence Institute (Amii); Department of Computing Science, University of Alberta
Conference: nips 2023 (main track)
Keywords: search;game theory;multi-agent;learning;markov chain monte carlo;complexity
Decision: Poster
Title: Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
Authors: Vijay Veerabadran, Srinivas Ravishankar, Yuan Tang, Ritik Raina, Virginia de Sa
Affiliations: Department of Cognitive Science, University of California, San Diego, La Jolla, CA 92093; Department of Cognitive Science, Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA 92093
Conference: nips 2023 (main track)
Keywords: cognitive science;recurrent neural networks;adaptive computation time;visual reasoning
Decision: Poster
Title: Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models
Authors: wenqiang wang, Chongyang Du, Tao Wang, Kaihao Zhang, Wenhan Luo, Lin Ma, Wei Liu, Xiaochun Cao
Affiliations: Shenzhen Campus of Sun Yat-sen University; Australian National University; Nanjing University; Meituan; Tencent
Conference: nips 2023 (main track)
Keywords: Punctuation-level Attack;Textual Adversarial attack;Natural Language Processing
Decision: Poster
Title: Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings
Authors: Yi Ren, Samuel Lavoie, Michael Galkin, Danica J. Sutherland, Aaron Courville
Affiliations: Université de Montréal & Mila; University of British Columbia & Amii; University of British Columbia∗; Intel AI Lab
Conference: nips 2023 (main track)
Keywords: compositional generalization;systematic generalization;iterated learning;representation learning;graph neural networks
Decision: Poster
Title: Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Authors: Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang "Atlas" Wang, Weizhu Chen, Mingyuan Zhou
Affiliations: Microsoft Azure AI; The University of Texas at Austin; The University of Texas at Austin, Microsoft Azure AI
Conference: nips 2023 (main track)
Keywords: diffusion models;training efficiency;data efficiency
Decision: Poster
Title: Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Authors: Andy Zhou, Jindong Wang, Yu-Xiong Wang, Haohan Wang
Affiliations: University of Illinois at Urbana-Champaign; University of Illinois at Urbana-Champaign, AI@UIUC; Microsoft Research
Conference: nips 2023 (main track)
Keywords: robustness;knowledge distillation;adversarial training;data augmentation;generalization
Decision: Poster
Title: Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
Authors: Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang
Affiliations: Tongji University; Georgia Institute of Technology; The Hong Kong University of Science and Technology; Emory University; Northwestern University
Conference: nips 2023 (main track)
Keywords: Visual Knowledge Extraction;Multimodality;Large Model Prompting
Decision: Poster
Title: Non-adversarial training of Neural SDEs with signature kernel scores
Authors: Zacharia Issa, Blanka Horvath, Maud Lemercier, Cristopher Salvi
Affiliations: Department of Mathematics, King’s College London, London, United Kingdom.; Department of Mathematics, Oxford University, Oxford, United Kingdom.; The Alan Turing Institute, London, United Kingdom.; Department of Mathematics, Imperial College London, London, United Kingdom.
Conference: nips 2023 (main track)
Keywords: Neural SDEs;score-based generative models;signature kernels;time series
Decision: Poster
Title: GPEX, A Framework For Interpreting Artificial Neural Networks
Authors: Amir Hossein Hosseini Akbarnejad, Gilbert Bigras, Nilanjan Ray
Affiliations: Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada; Department of Computing Science, University of Alberta, Edmonton, AB, Canada
Conference: nips 2023 (main track)
Keywords: Gaussian processes;Explainable AI
Decision: Poster
Title: Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
Authors: Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Ankit Pensia, Thanasis Pittas
Affiliations: University of Wisconsin–Madison; IBM Research; University of California, San Diego
Conference: nips 2023 (main track)
Keywords: robust statistics;high-dimensional inference;regression;nearly linear time algorithms
Decision: Poster
Title: Active Vision Reinforcement Learning under Limited Visual Observability
Authors: Jinghuan Shang, Michael S Ryoo
Affiliations: Department of Computer Science, Stony Brook University
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Active Reinforcement Learning;Visual Reinforcement Learning;Active Vision;Active Perception;Partial Observability;Sensorimotor
Decision: Poster
Title: MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning
Authors: Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao
Affiliations: National University of Singapore; Singapore Management University; South China University of Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Black-Box Optimization;Meta-Black-Box Optimization;Reinforcement Learning;Benchmark Platform
Decision: Oral
Title: What You See is What You Read? Improving Text-Image Alignment Evaluation
Authors: Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor
Affiliations: The Hebrew University of Jerusalem; Google Research
Conference: nips 2023 (main track)
Keywords: Vision-and-language;Image-text alignment;Text-to-image generation;Image-to-text generation;Multi-modal models;Synthetic images;Meta-evaluation;Visual-question-answering
Decision: Poster
Title: Scaling Data-Constrained Language Models
Authors: Niklas Muennighoff, Alexander Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi, Aleksandra Piktus, Sampo Pyysalo, Thomas Wolf, Colin Raffel
Affiliations: Hugging Face; Harvard University; University of Turku
Conference: nips 2023 (main track)
Keywords: large language models;scaling laws;data engineering
Decision: Oral
Title: DynPoint: Dynamic Neural Point For View Synthesis
Authors: Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
Affiliations: Department of Computer Science, University of Oxford
Conference: nips 2023 (main track)
Keywords: View Synthesis;Monocular Video
Decision: Poster
Title: Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion
Authors: Kunxun Qi, Jianfeng Du, Hai Wan
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China; Guangzhou Key Laboratory of Multilingual Intelligent Processing, Guangdong University of Foreign Studies, Guangzhou, China and Bigmath Technology, Shenzhen, China
Conference: nips 2023 (main track)
Keywords: Knowledge graph completion; Neural approximate rule learning; Neural rule-based system
Decision: Poster
Title: On Masked Pre-training and the Marginal Likelihood
Authors: Pablo Moreno-Muñoz, Pol Garcia Recasens, Søren Hauberg
Affiliations: Section for Cognitive Systems, Technical University of Denmark (DTU); CROMAI, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya (UPC)
Conference: nips 2023 (main track)
Keywords: Marginal likelihood;masked pre-training;Bayesian inference
Decision: Poster
Title: Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning
Authors: Yangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, Yonghong Tian
Affiliations: School of Intelligent Systems Engineering, Sun Yat-sen University; School of Computer Science, Peking University; School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University
Conference: nips 2023 (main track)
Keywords: vision-based reinforcement learning;multi-modal;event camera
Decision: Poster
Title: Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer
Authors: Jianwei Zhang, Suren Jayasuriya, Visar Berisha
Affiliations: School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281; College of Health Solutions, School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281; School of Arts, Media and Engineering, School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281
Conference: nips 2023 (main track)
Keywords: repeatability;embeddings;metric learning;intra-class correlation;intra-class variance
Decision: Poster
Title: The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Authors: Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, David Fleet
Affiliations: Google DeepMind and Google Research; Google DeepMind and Google Research, University of Toronto, Vector Institute
Conference: nips 2023 (main track)
Keywords: Monocular depth;optical flow;diffusion;depth;flow
Decision: Oral
Title: Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians
Authors: Rainer Engelken
Affiliations: Zuckerman Mind Brain Behavior Institute, Columbia University, New York, USA
Conference: nips 2023 (main track)
Keywords: exploding/vanishing gradients;Lyapunov exponents;Lyapunov spectrum;chaos;RNN;condition number;Jacobian
Decision: Poster
Title: Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
Authors: Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc V Gool, Jiaqian Yu, Matthew Blaschko
Affiliations: ESAT-PSI, KU Leuven, Leuven, Belgium; Google, Zürich, Switzerland; ETH Zürich, Zürich, Switzerland; University of Oxford, Oxford, United Kingdom; Google DeepMind, London, United Kingdom; Samsung Research, Beijing, China; EPFL, Lausanne, Switzerland
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Semantic Segmentation
Decision: Poster
Title: SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model
Authors: Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang
Affiliations: National Engineering Research Center of Speech and Language Information Processing, China; School of Computer Science, Faculty of Engineering, The University of Sydney, Australia; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China; School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artiﬁcial Intelligence, and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, China
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Remote Sensing;Segmentation;Segment Anything Model;Pre-training
Decision: Poster
Title: CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
Authors: Yingjie Wang, Jiajun Deng, Yuenan Hou, Yao Li, Yu Zhang, Jianmin Ji, Wanli Ouyang, Yanyong Zhang
Affiliations: Shanghai AI Laboratory; University of Science and Technology of China; University of Science and Technology of China, Shanghai AI Laboratory; The University of Adelaide, AIML
Conference: nips 2023 (main track)
Keywords: 3D object detection ; Point clouds
Decision: Poster
Title: Cola: A Benchmark for Compositional Text-to-image Retrieval
Authors: Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan Plummer, Ranjay Krishna, Kate Saenko
Affiliations: Boston University; Meta AI (FAIR); Meta AI (FAIR), University of Washington; Boston University, Meta AI (FAIR)
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: compositionality;vision-language
Decision: Poster
Title: IEBins: Iterative Elastic Bins for Monocular Depth Estimation
Authors: Shuwei Shao, Zhongcai Pei, Xingming Wu, Zhong Liu, Weihai Chen, Zhengguo Li
Affiliations: SRO department, Institute for Infocomm Research, A*STAR, Singapore; School of Electrical Engineering and Automation, Anhui University, China; School of Automation Science and Electrical Engineering, Beihang University, China
Conference: nips 2023 (main track)
Keywords: Monocular depth estimation;Iterative refinement;Deep learning
Decision: Poster
Title: Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
Authors: Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Liu Linc, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, YANG GUANG, Wei Yang, Lanxiao Huang, Xiangyang Ji
Affiliations: Tencent Timi Studio; Tencent AI Lab; Tsinghua University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: offline reinforcement learning;offline multi-agent reinforcement learning;datasets and benchmarks
Decision: Poster
Title: Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Authors: Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
Affiliations: JD Explore Academy; The University of Sydney; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Data Augmentation;Visual Reinforcement Learning;Sample Efficiency
Decision: Poster
Title: When are ensembles really effective?
Authors: Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael Mahoney
Affiliations: Department of Statistics, University of California, Berkeley; Department of Computer Science, Dartmouth College; International Computer Science Institute, Lawrence Berkeley National Laboratory, and Department of Statistics, University of California, Berkeley; School of Mathematics and Statistics, University of Melbourne, Australia
Conference: nips 2023 (main track)
Keywords: Ensembling;theory;deep learning
Decision: Poster
Title: FELM: Benchmarking Factuality Evaluation of Large Language Models
Authors: shiqi chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He
Affiliations: Carnegie Mellon University; City University of Hong Kong; National University of Singapore; The Hong Kong University of Science and Technology; Shanghai Jiao Tong University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: factuality;LLM
Decision: Poster
Title: SPRING: Studying Papers and Reasoning to play Games
Authors: Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom Mitchell, Yuanzhi Li
Affiliations: Carnegie Mellon University, Microsoft Research; Carnegie Mellon University, Work done during internship at Microsoft; Ariel University; NVIDIA; Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: Games;Instruction Manual;Crafter;Open-world games;Large Language Models;Language Models;Zero-shot;In-context prompting
Decision: Poster
Title: RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
Authors: Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo
Affiliations: The University of Hong Kong; The University of Hong Kong, Shanghai AI Laboratory; SenseTime Research
Conference: nips 2023 (main track)
Keywords: Diffusion Model;Text-to-Image Generation
Decision: Poster
Title: Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
Authors: Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann
Affiliations: Karlsruhe Institute of Technology, FZI Research Center for Information Technology; Karlsruhe Institute of Technology, Bosch Center for Artificial Intelligence; Karlsruhe Institute of Technology
Conference: nips 2023 (main track)
Keywords: bayesian deep learning;distribution shift;calibration
Decision: Poster
Title: Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization
Authors: Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
Affiliations: Westlake University; Huawei Noah’s Ark Lab; Westlake University, Zhejiang University
Conference: nips 2023 (main track)
Keywords: offline reinforcement learning;test-time adaptation
Decision: Poster
Title: Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions
Authors: Zhaolu Liu, Robert Peach, Pedro A.M Mediano, Mauricio Barahona
Affiliations: Department of Computing, Imperial College London, United Kingdom; Department of Neurology, University Hospital Würzburg, Germany; Department of Mathematics, Imperial College London, United Kingdom
Conference: nips 2023 (main track)
Keywords: High-order interactions; Lattice theory; Kernel tests
Decision: Poster
Title: MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
Authors: Mohammad Mozaffari, Sikan Li, Zhao Zhang, Maryam Mehri Dehnavi
Affiliations: Department of Electrical and Computer Engineering, Rutgers University; Texas Advanced Computing Server, University of Texas at Austin; Department of Computer Science, University of Toronto
Conference: nips 2023 (main track)
Keywords: machine learning;deep learning;optimizers;distributed training;second-order optimization;
Decision: Poster
Title: A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
Authors: Florian Felten, Lucas N. Alegre, Ann Nowe, Ana Bazzan, El Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva
Affiliations: CNRS/CRIStAL, University of Lille; Institute of Informatics, Federal University of Rio Grande do Sul; FSTM/DCS, University of Luxembourg; SnT, University of Luxembourg; University of Massachusetts; Artificial Intelligence Lab, Vrije Universiteit Brussel
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multi-Objective;Reinforcement Learning;Benchmarking
Decision: Poster
Title: Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation
Authors: Susung Hong, Donghoon Ahn, Seungryong Kim
Affiliations: Korea University, Seoul, Korea; Korea University, Seoul, Korea†
Conference: nips 2023 (main track)
Keywords: Text-to-3D;Diffusion Models
Decision: Poster
Title: Adaptive Online Replanning with Diffusion Models
Authors: Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan
Affiliations: MIT-IBM Watson AI Lab, UMass Amherst; Carnegie Mellon University; Hong Kong University of Science and Technology; MIT-IBM Watson AI Lab; Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: Decision making;Robotics;Planning-based
Decision: Poster
Title: Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory
Authors: Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain
Affiliations: McGill University; Université Laval
Conference: nips 2023 (main track)
Keywords: Variational Autoencoders;PAC-Bayes;Statistical Learning Theory
Decision: Spotlight
Title: Learning Reliable Logical Rules with SATNet
Authors: Zhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si
Affiliations: University of Toronto, Vector Institute, Mila; Shanghai Jiao Tong University; University of Toronto; University of Toronto, Vector Institute
Conference: nips 2023 (main track)
Keywords: Logical Reasoning;Rule Learning;Interpretation;SATNet
Decision: Poster
Title: Domain Re-Modulation for Few-Shot Generative Domain Adaptation
Authors: Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao
Affiliations: University of Science and Technology of China; JD Explore Academy
Conference: nips 2023 (main track)
Keywords: StyleGAN;Few-Shot Generative Domain Adaptation
Decision: Poster
Title: Fine-grained Expressivity of Graph Neural Networks
Authors: Jan Böker, Ron Levie, Ningyuan Huang, Soledad Villar, Christopher Morris
Affiliations: Johns Hopkins University; RWTH Aachen University; Technion - Israel Institute of Technology
Conference: nips 2023 (main track)
Keywords: graphons;universal approximation;weisfeiler-leman;graph metric;tree homomorphisms;tree distance;optimal transport;GNNs
Decision: Poster
Title: Simple and Controllable Music Generation
Authors: Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Defossez
Affiliations: Meta AI; The Hebrew University of Jerusalem & Meta AI
Conference: nips 2023 (main track)
Keywords: Music generation;Generative AI;Transformer;Language Models
Decision: Poster