hunoutl/paperlists huggingface dataset:
Title: Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
Authors: Lukasz Augustyniak, Szymon Woźniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikołaj Morzy, Tomasz Kajdanowicz
Affiliations: WUST; WUST (Wrocław University of Science and Technology); Pozna ´n University of Technology; Brand24 AI; Brand24 AI, WUST
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: sentiment analysis;multilingual;dataset;benchmark;nlp
Decision: Poster
Title: Federated Learning with Manifold Regularization and Normalized Update Reaggregation
Authors: Xuming An, Li Shen, Han Hu, Yong Luo
Affiliations: School of Information and Electronics, Beijing Institute of Technology, China; JD Explore Academy, China; School of Computer Science, Wuhan University, China
Conference: nips 2023 (main track)
Keywords: federated learning; manifold regularization; update reaggregation
Decision: Poster
Title: HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
Authors: Pei Chen, Soumajyoti Sarkar, Leonard Lausen, Balasubramaniam Srinivasan, Sheng Zha, Ruihong Huang, George Karypis
Affiliations: Amazon Web Services; Texas A&M University
Conference: nips 2023 (main track)
Keywords: Tabular Language Model;Tabular Representation Learning;Pretraining;Tabular Data;Table;Hypergraph
Decision: Spotlight
Title: LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings
Authors: Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi
Affiliations: Nanyang Technological University; Hong Kong Polytechnic University; East China Normal University
Conference: nips 2023 (main track)
Keywords: Graph neural networks;Scalability;Heterophilous Graphs;Non-Homophily
Decision: Poster
Title: Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees
Authors: Bryan Andrews, Joseph Ramsey, Ruben Sanchez Romero, Jazmin Camchong, Erich Kummerfeld
Affiliations: Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102; Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55454; Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213; Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN 55454
Conference: nips 2023 (main track)
Keywords: Causal Discovery;Directed Acyclic Graphs;DAGs;fMRI;Graphical Models;High Dimension;Densely Connected
Decision: Poster
Title: One-step differentiation of iterative algorithms
Authors: Jerome Bolte, Edouard Pauwels, Samuel Vaiter
Affiliations: Toulouse School of Economics, Université Toulouse Capitole, Toulouse, France.; CNRS & Université Côte d’Azur, Laboratoire J. A. Dieudonné, Nice, France.; Toulouse School of Economics (IUF), Toulouse, France.
Conference: nips 2023 (main track)
Keywords: automatic differentiation;implicit differentiation;super-linear algorithms;bilevel optimization.
Decision: Spotlight
Title: Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
Authors: Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
Affiliations: The Johns Hopkins University; ByteDance
Conference: nips 2023 (main track)
Keywords: open-vocabulary panoptic segmentation;panoptic segmentation;vision and language
Decision: Poster
Title: ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab
Authors: Jieming Cui, Ziren Gong, Baoxiong Jia, Siyuan Huang, Zilong Zheng, Jianzhu Ma, Yixin Zhu
Affiliations: Institute for AI Industry Research, Tsinghua University; Department of Electronic Engineering, Tsinghua University; Institute for Artificial Intelligence, Peking University; National Key Laboratory of General Artificial Intelligence; Institute for Artificial Intelligence, Peking University; National Key Laboratory of General Artificial Intelligence; PKU-WUHAN Institute for Artificial Intelligence; National Key Laboratory of General Artificial Intelligence; Institute for AI Industry Research, Tsinghua University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Protocol-guided; Reproducibility crisis; Ambiguous action recognition; Transparent solution tracking; Monitoring System
Decision: Poster
Title: Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Authors: Zongyi Li, Nikola Kovachki, Chris Choy, Boyi Li, Jean Kossaifi, Shourya Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Animashree Anandkumar
Affiliations: NVIDIA
Conference: nips 2023 (main track)
Keywords: partial differential equation;computational fluid dynamics;neural operator
Decision: Poster
Title: Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
Authors: Shengjie Zhu, Abhinav Kumar, Masa Hu, Xiaoming Liu
Affiliations: Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, 48824
Conference: nips 2023 (main track)
Keywords: Monocular Camera Calibration; Camera Pose Estimation; Image Editing
Decision: Poster
Title: Towards Automated Circuit Discovery for Mechanistic Interpretability
Authors: Arthur Conmy, Augustine Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso
Affiliations: UCL; Independent; FAR AI; University of Cambridge; UCLA
Conference: nips 2023 (main track)
Keywords: Mechanistic Interpretability;Pruning;Science of Deep Learning;AI Safety
Decision: Spotlight
Title: Label-efficient Segmentation via Affinity Propagation
Authors: Wentong Li, Yuqian Yuan, Song Wang, Wenyu Liu, Dongqi Tang, Jian liu, Jianke Zhu, Lei Zhang
Affiliations: Zhejiang University; Ant Group; The Hong Kong Polytechnical University
Conference: nips 2023 (main track)
Keywords: Computer Vision;Segmentation;Weakly-supervised Learning
Decision: Poster
Title: Analyzing Generalization of Neural Networks through Loss Path Kernels
Authors: Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava, Lam Nguyen, Lily Weng
Affiliations: MIT EECS; IBM Research; MIT-IBM Watson AI Lab; RIEKN AIP; UCSD CSE; UCSD HDSI
Conference: nips 2023 (main track)
Keywords: generalization;deep learning theory;neural tangent kernel;neural architecture search
Decision: Poster
Title: Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
Authors: Aaron Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu
Affiliations: CSL & ECE, University of Illinois Urbana-Champaign; ECE, New York University
Conference: nips 2023 (main track)
Keywords: Deep equilibrium models;Lipschitz networks;certified robustness
Decision: Poster
Title: Differentially Private Statistical Inference through $\beta$-Divergence One Posterior Sampling
Authors: Jack Jewson, Sahra Ghalebikesabi, Chris C Holmes
Affiliations: Department of Economics and Business, Universitat Pompeu Fabra, Barcelona, Spain; The Alan Turing Institute, Department of Statistics, University of Oxford, Oxford, UK; Department of Statistics, University of Oxford, Oxford, UK
Conference: nips 2023 (main track)
Keywords: differential privacy;beta-divergence;posterior sampling;generalised Bayesian inference
Decision: Poster
Title: Conservative State Value Estimation for Offline Reinforcement Learning
Authors: Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Saravanakumar Rajmohan, Thomas Moscibroda, Dongmei Zhang
Affiliations: Microsoft, Redmond, USA; Microsoft, Beijing, China; University of Sci. and Tech. of China, Hefei, China; McGill University, Montreal, Canada; Microsoft 365, Seattle, USA
Conference: nips 2023 (main track)
Keywords: Offline Reinforcement Learning
Decision: Poster
Title: Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
Authors: Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long
Affiliations: School of Software, BNRist, Tsinghua University, China
Conference: nips 2023 (main track)
Keywords: Model-based reinforcement learning;world model;pre-training
Decision: Poster
Title: Efficient Subgame Refinement for Extensive-form Games
Authors: Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
Affiliations: Nanjing University, Nanjing, Jiangsu, China; Microsoft Corporation, Redmond, Washington, USA
Conference: nips 2023 (main track)
Keywords: Subgame solving;extensive-form game;imperfect information
Decision: Poster
Title: Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks
Authors: Yaoyu Zhu, Wei Fang, Xiaodong Xie, Tiejun Huang, Zhaofei Yu
Affiliations: Institute for Artificial Intelligence, Peking University, Beijing, China 100871; School of Computer Science, Peking University, Beijing, China 100871
Conference: nips 2023 (main track)
Keywords: Spiking neural networks;Spike encoding;Time-based training
Decision: Spotlight
Title: Systematic Visual Reasoning through Object-Centric Relational Abstraction
Authors: Taylor Webb, Shanka Subhra Mondal, Jonathan D Cohen
Affiliations: Department of Psychology, University of California, Los Angeles, Los Angeles, CA; Princeton Neuroscience Institute, Princeton University, Princeton, NJ; Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ
Conference: nips 2023 (main track)
Keywords: relational reasoning;object-centric representations;abstract rule learning;relational inductive biases;systematic generalization
Decision: Poster
Title: DAC-DETR: Divide the Attention Layers and Conquer
Authors: Zhengdong Hu, Yifan Sun, Jingdong Wang, Yi Yang
Affiliations: ReLER, AAII, University of Technology Sydney; CCAI, College of Computer Science and Technology, Zhejiang University; Baidu Inc.
Conference: nips 2023 (main track)
Keywords: deep learning;computer vision;object detection;transformer
Decision: Poster
Title: 3D Indoor Instance Segmentation in an Open-World
Authors: Mohamed El Amine Boudjoghra, Salwa Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Anwer, Rao Anwer, Salman Khan, Fahad Shahbaz Khan
Affiliations: Aalto University; Australian National University; Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI); Linköping University
Conference: nips 2023 (main track)
Keywords: open-world;3d instance segmentation
Decision: Poster
Title: Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
Authors: Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China
Conference: nips 2023 (main track)
Keywords: Few-Shot Class-Incremental Learning;Continual Learning;Class-Incremental Learning
Decision: Poster
Title: DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Authors: Ying Fan, Olivia Watkins, Yuqing Du, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
Affiliations: University of Wisconsin-Madison; Google Research; KAIST; Amazon; UC Berkeley
Conference: nips 2023 (main track)
Keywords: Diffusion models;RLHF
Decision: Poster
Title: Rethinking Gauss-Newton for learning over-parameterized models
Authors: Michael Arbel, Romain Menegaux, Pierre Wolinski
Affiliations: Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France; LMO, Université Paris-Saclay, Orsay, France
Conference: nips 2023 (main track)
Keywords: implicit bias;gauss newton
Decision: Poster
Title: Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
Authors: Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi
Affiliations: University of Washington, Seattle, WA, 98105; Harvard University, Cambridge, MA, 02138; University of Washington, Seattle, WA, 98105
Conference: nips 2023 (main track)
Keywords: Optimal filtering;data-driven control;stochastic optimization;learning
Decision: Poster
Title: Real-World Image Super-Resolution as Multi-Task Learning
Authors: Wenlong Zhang, Xiaohui Li, Guangyuan SHI, Xiangyu Chen, Yu Qiao, Xiaoyun Zhang, Xiao-Ming Wu, Chao Dong
Affiliations: University of Macau; Shenzhen Institute of Advanced Technology, CAS; Shanghai Jiao Tong University; Shanghai AI Laboratory; The HongKong Polytechnic University
Conference: nips 2023 (main track)
Keywords: Image super-resolution
Decision: Poster
Title: Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination
Authors: Yuchen BAI, Jean-Baptiste Durand, Grégoire Vincent, Florence Forbes
Affiliations: Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France; AMAP, Univ. Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
Conference: nips 2023 (main track)
Keywords: UAV;Deep Learning;Semantic Segmentation;Lidar;Class Imbalance;Point Cloud
Decision: Poster
Title: NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Authors: Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou
Affiliations: Google; Microsoft
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: 3D reconstruction; image collections; pose estimation; neural radiance fields; pixel correspondences
Decision: Poster
Title: Learning Shared Safety Constraints from Multi-task Demonstrations
Authors: Konwoo Kim, Gokul Swamy, ZUXIN LIU, DING ZHAO, Sanjiban Choudhury, Steven Wu
Affiliations: Cornell University; Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: constraints;inverse reinforcement learning;safe reinforcement learning
Decision: Poster
Title: MixFormerV2: Efficient Fully Transformer Tracking
Authors: Yutao Cui, Tianhui Song, Gangshan Wu, Limin Wang
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University, China
Conference: nips 2023 (main track)
Keywords: Efficient Tracking;Fully Transformer;Distillation;Model Pruning
Decision: Poster
Title: Mitigating the Effect of Incidental Correlations on Part-based Learning
Authors: Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N Balasubramanian
Affiliations: Indian Institute of Technology Hyderabad; The University of British Columbia, The Vector Institute, Canada
Conference: nips 2023 (main track)
Keywords: part-based learning;interpretability;few-shot learning;vision transformers
Decision: Poster
Title: A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization
Authors: Kansei Ushiyama, Shun Sato, Takayasu Matsuo
Affiliations: The University of Tokyo, Tokyo, Japan
Conference: nips 2023 (main track)
Keywords: Convex optimization;Numerical analysis;Ordinary differential equations;Convergence estimate
Decision: Poster
Title: LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Authors: Artur Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus Adams
Affiliations: Chair of Aerodynamics and Fluid Mechanics, Technical University of Munich, 85748 Garching b. München, Germany; Munich Institute of Integrated Materials, Energy and Process Engineering, Technical University of Munich, 85748 Garching b. München, Germany; Chair of Aerodynamics and Fluid Mechanics, Technical University of Munich, 85748 Garching b. München, Germany; Munich Institute of Integrated Materials, Energy and Process Engineering, Technical University of Munich, 85748 Garching b. München, Germany
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: particle-based;Lagrangian;fluid mechanics;benchmark;graph neural networks;smoothed particle hydrodynamics
Decision: Poster
Title: On the Convergence of Encoder-only Shallow Transformers
Authors: Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Affiliations: LIONS, EPFL; University of Wisconsin-Madison; University of Warwick; LIONS, EPFL
Conference: nips 2023 (main track)
Keywords: Transformer;convergence;scaling;initialization;over-parameterization
Decision: Poster
Title: Provably Efficient Offline Reinforcement Learning in Regular Decision Processes
Authors: Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi
Affiliations: Sapienza University of Rome; University of Oxford; Universitat Pompeu Fabra; University of Copenhagen
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Offline Reinforcement Learning;Regular Decision Processes;Sample complexity;Automata
Decision: Poster
Title: Understanding Social Reasoning in Language Models with Language Models
Authors: Kanishk Gandhi, Jan-Philipp Fraenken, Tobias Gerstenberg, Noah Goodman
Affiliations: Stanford University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Social Reasoning;Theory of Mind;Large Language Models;Benchmark;Multi-Agent Reasoning;Intuitive Psychology;Common Sense;Reasoning
Decision: Spotlight
Title: Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement
Authors: Shizhe Ding, Boyang Xia, Dongbo Bu
Affiliations: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Central China Institute for Artificial Intelligence Technologies, Zhengzhou, China; Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
Conference: nips 2023 (main track)
Keywords: Interpolation algorithm;scattered data;deep learning;residual learning
Decision: Poster
Title: Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent
Authors: Lingjiong Zhu, Mert Gurbuzbalaban, Anant Raj, Umut Simsekli
Affiliations: Dept. of Management Science and Information Systems, Rutgers Business School; Coordinated Science Laboratory, University of Illinois Urbana-Champaign; Inria Paris, CNRS, Ecole Normale Supérieure, PSL Research University; Dept. of Mathematics, Florida State University
Conference: nips 2023 (main track)
Keywords: Algorithmic stability;SGD;Wasserstein distance
Decision: Poster
Title: A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance
Authors: Bo Jiang, Ya-Feng Liu
Affiliations: Ministry of Education Key Laboratory of NSLSCS, School of Mathematical Sciences, Nanjing Normal University, Nanjing 210023, China; State Key Laboratory of Scientiﬁc and Engineering Computing, Institute of Computational Mathematics and Scientiﬁc/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
Conference: nips 2023 (main track)
Keywords: Barzilai-Borwein method;exponential augmented Lagrangian;inexact gradient;Stiefel manifold;Sinkhorn iteration;Wasserstein distance
Decision: Poster
Title: Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits
Authors: Ruo-Chun Tzeng, Po-An Wang, Alexandre Proutiere, Chi-Jen Lu
Affiliations: EECS and Digital Futures, KTH, Stockholm, Sweden; Institute of Information Science, Academia Sinica, Taiwan; EECS, KTH, Stockholm, Sweden
Conference: nips 2023 (main track)
Keywords: best-arm identification; combinatorial semi-bandit; no-regret learning;
Decision: Poster
Title: Sparse Deep Learning for Time Series Data: Theory and Applications
Authors: Mingxuan Zhang, Yan Sun, Faming Liang
Affiliations: Department of Statistics, Purdue University; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: Sparse Deep Learning;Uncertainty Quantification;Model Compression;Variable Selection;Dependent Data
Decision: Poster
Title: Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells
Authors: Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristobal Eyzaguirre, Sanmi Koyejo, Ila Fiete
Affiliations: Physics, MIT; Brain and Cognitive Sciences, MIT; Computer Science, Stanford University; Janelia Research Campus, Howard Hughes Medical Institute
Conference: nips 2023 (main track)
Keywords: self-supervised learning;unsupervised learning;grid cells;neuroscience;systems neuroscience;representation learning
Decision: Poster
Title: FLSL: Feature-level Self-supervised Learning
Authors: Qing Su, Anton Netchaev, Hai Li, Shihao Ji
Affiliations: Georgia State University; U.S. Army ERDC; Duke University
Conference: nips 2023 (main track)
Keywords: Transformer;ViT;Dense Prediction;Self-supervised Learning;Mean Shift;Self-attention;Representation learning
Decision: Poster
Title: One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
Authors: Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
Affiliations: School of information and Electronics, Beijing Institute of Technology; Huawei Noah’s Ark Lab; School of Computer Science, Faculty of Engineering, The University of Sydney
Conference: nips 2023 (main track)
Keywords: knowledge distillation;feature distillation;heterogeneous architectures
Decision: Poster
Title: Constant Approximation for Individual Preference Stable Clustering
Authors: Anders Aamand, Justin Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang
Affiliations: UC Berkeley; MIT; TTIC; Databricks
Conference: nips 2023 (main track)
Keywords: clustering;fairness;approximation algorithms
Decision: Spotlight
Title: Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
Authors: Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya
Affiliations: AI Foundation and Algorithm Lab, Russia; Skolkovo Institute of Science and Technology, Russia; CNRS, Université Paris Cité, France; Skolkovo Institute of Science and Technology, Russia; Artificial Intelligence Research Institute (AIRI), Russia; St. Petersburg Department of the Steklov Institute of Mathematics, Russia; Skolkovo Institute of Science and Technology, Russia; Artificial Intelligence Research Institute (AIRI), Russia
Conference: nips 2023 (main track)
Keywords: generated texts detection;intrinsic dimension;TDA;Persistent Homology;ChatGPT
Decision: Poster
Title: OpenMask3D: Open-Vocabulary 3D Instance Segmentation
Authors: Ayca Takmaz, Elisabetta Fedele, Robert Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann
Affiliations: ETH Zürich; Google; ETH Zürich, Google; ETH Zürich, Microsoft
Conference: nips 2023 (main track)
Keywords: open-world;open-vocabulary;3D vision;point cloud;instance segmentation;3D instance segmentation
Decision: Poster
Title: TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
Authors: Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao
Affiliations: The University of Hong Kong; University of California, Merced; Shanghai Artificial Intelligence Laboratory; SenseTime Research
Conference: nips 2023 (main track)
Keywords: taxonomy-aware;multiple-datasets;video instance segementation
Decision: Poster
Title: Training neural operators to preserve invariant measures of chaotic attractors
Authors: Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett
Affiliations: Department of Physics, University of Chicago, Chicago, IL 60637; Department of Computer Science, University of Chicago, Chicago, IL 60637; Department of Statistics and Computer Science, University of Chicago, Chicago, IL 60637
Conference: nips 2023 (main track)
Keywords: Neural operators;contrastive learning;optimal transport;chaotic attractors;invariant measures
Decision: Poster
Title: GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence
Authors: Hao Zheng, Hui Lin, Rong Zhao
Affiliations: Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University - China Electronics Technology HIK Group Co. Joint Research Center for Brain-Inspired Computing, IDG / McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.
Conference: nips 2023 (main track)
Keywords: neuronal coherence;combinatorial generalization;perceptual grouping;unsupervised learning
Decision: Poster