hunoutl/paperlists huggingface dataset:
Title: Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Authors: Shiqi Yang, yaxing wang, kai wang, Shangling Jui, Joost van de Weijer
Affiliations: Nankai University, Tianjin, China; Computer Vision Center, Universitat Autonoma de Barcelona, Barcelona, Spain; Huawei Kirin Solution, Shanghai, China
Conference: nips 2022 (main track)
Keywords: source-free domain adaptation
Decision: Poster
Title: TAP-Vid: A Benchmark for Tracking Any Point in a Video
Authors: Carl Doersch, Ankush Gupta, Larisa Markeeva, Adria Recasens, Lucas Smaira, Yusuf Aytar, Joao Carreira, Andrew Zisserman, Yi Yang
Affiliations: VGG, Department of Engineering Science, University of Oxford; DeepMind
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: point tracking;benchmark
Decision: Poster
Title: AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions
Authors: Florent Bonnet, Jocelyn Mazari, Paola Cinnella, Patrick Gallinari
Affiliations: Sorbonne Université, Institut Jean Le Rond d’Alembert, Paris, France; Extrality, Paris, France; Sorbonne Université, CNRS, ISIR; Criteo AI Lab, Paris, France; Sorbonne Université, CNRS, ISIR; Extrality, Paris, France
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Computational Fluid Dynamics;Navier–Stokes Equations;Partial Differential Equations;Physical Metrics;Geometric Deep Learning;Graph Neural Networks;Point Clouds;Surrogate Models;Reduced Order Models;Meshes;Physically Constrained Deep Learning;Numerical Simulation;Fluid Mechanics
Decision: Poster
Title: Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning
Authors: Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng
Affiliations: Currently at Google Brain; Microsoft
Conference: nips 2022 (main track)
Keywords: Image paragraph captioning;vision-language models;zero-shot learning
Decision: Poster
Title: Redistribution of Weights and Activations for AdderNet Quantization
Authors: Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab; State Key Lab of Computer Science, ISCAS & UCAS; School of Integrated Circuits, Peking University; University of Macau
Conference: nips 2022 (main track)
Keywords: AdderNet;Quantization
Decision: Poster
Title: Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
Authors: Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
Affiliations: Ohio State University; University of Michigan
Conference: nips 2022 (main track)
Keywords: neural collapse;Riemannian manifold;feature normalization;nonconvex optimization
Decision: Poster
Title: Learning Long-Term Crop Management Strategies with CyclesGym
Authors: Matteo Turchetta, Luca Corinzia, Scott Sussex, Amanda Burton, Juan Herrera, Ioannis Athanasiadis, Joachim M Buhmann, Andreas Krause
Affiliations: Wageningen University & Research, Wageningen, Netherlands; ETH Zurich, Zurich, Switzerland; Agroscope, Nyon, Switzerland
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Reinforcement learning;Sustainable agriculture
Decision: Poster
Title: Dynamic Sparse Network for Time Series Classification: Learning What to “See”
Authors: Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
Affiliations: Southern University of Science and Technology; Eindhoven University of Technology and University of Twente; University of Texas at Austin; Eindhoven University of Technology; University of Twente
Conference: nips 2022 (main track)
Keywords: time series classification;dynamic sparse training;adaptive receptive field
Decision: Poster
Title: Posterior and Computational Uncertainty in Gaussian Processes
Authors: Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John Cunningham
Affiliations: University of Tübingen; Columbia University
Conference: nips 2022 (main track)
Keywords: Gaussian processes;computational uncertainty;numerical methods;probabilistic numerics;probabilistic linear solvers
Decision: Poster
Title: On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Authors: Xiaotong Yuan, Ping Li
Affiliations: Nanjing Univ. of Information Sci. & Tech., Nanjing, China; LinkedIn Ads, Bellevue, WA, USA
Conference: nips 2022 (main track)
Keywords: Federated learning;FedProx;Minibatch stochastic proximal point methods;Uniform stability;Non-convex optimization;Non-smooth optimization
Decision: Poster
Title: Reinforcement Learning with Automated Auxiliary Loss Search
Authors: Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
Affiliations: Microsoft Research Asia; Shanghai Jiao Tong University; New York University
Conference: nips 2022 (main track)
Keywords: Reinforcement learning;Representation learning;Auxiliary Loss
Decision: Poster
Title: Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
Authors: Yuhan Helena Liu, Arna Ghosh, Blake Richards, Eric Shea-Brown, Guillaume Lajoie
Affiliations: Department of Applied Mathematics, University of Washington, Seattle, WA, USA; Allen Institute for Brain Science, Seattle WA, USA; Computational Neuroscience Center, University of Washington, Seattle, WA, USA; School of Computer Science, McGill University, Montreal, QC, Canada; Mila - Quebec AI Institute, Montreal, QC, Canada; Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; Canada CIFAR AI Chair, CIFAR, Toronto, ON, Canada; Mila - Quebec AI Institute, Montreal, QC, Canada; Canada CIFAR AI Chair, CIFAR, Toronto, ON, Canada; Dept. de Mathématiques et Statistiques, Université de Montréal, Montreal, QC, Canada; School of Computer Science, McGill University, Montreal, QC, Canada; Mila - Quebec AI Institute, Montreal, QC, Canada
Conference: nips 2022 (main track)
Keywords: Neuroscience;computational neuroscience;biologically plausible learning rules;learning and plasticity;temporal credit assignment;generalization;recurrent neural networks
Decision: Poster
Title: Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
Authors: Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang
Affiliations: Renmin University of China; California Institute of Technology; University of Notre Dame
Conference: nips 2022 (main track)
Keywords: Equation Discovery;Deep Learning;Spline Learning;Bayesian Method
Decision: Poster
Title: Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
Authors: Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal
Affiliations: Princeton University; Virginia Tech
Conference: nips 2022 (main track)
Keywords: Renyi Differential Privacy;Propose Test Release
Decision: Poster
Title: BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Authors: Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo Mandic, Lei He, Xiangyang Li, Tao Qin, sheng zhao, Tie-Yan Liu
Affiliations: Microsoft Research Asia; University of Surrey; Microsoft Azure Speech; University of Science and Technology of China; South China University of Technology; Imperial College London
Conference: nips 2022 (main track)
Keywords: Binaural audio synthesis;Audio warping;Two-stage framework;Conditional diffusion probabilistic model
Decision: Poster
Title: JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search
Authors: Archit Bansal, Danny Stoll, Maciej Janowski, Arber Zela, Frank Hutter
Affiliations: University of Freiburg, Bosch Center for Artificial Intelligence; University of Freiburg
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Joint Architecture and Hyperparameter Search;Neural Architecture Search;Hyperparameter Optimization;Surrogate Benchmark;Multi-fidelity;Multi-objective;Cost-aware
Decision: Highlighted
Title: Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
Authors: Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
Affiliations: MSR; UIUC; Columbia University; UNC
Conference: nips 2022 (main track)
Keywords: video-language;few-shot;language model;in-context learning
Decision: Poster
Title: Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
Authors: Aleksandros Sobczyk, Mathieu Luisier
Affiliations: IBM Research and ETH Zürich, Zürich, Switzerland; ETH Zürich, Zürich, Switzerland
Conference: nips 2022 (main track)
Keywords: Johnson-Lindenstrauss;Hutch++;Euclidean distances;Statistical leverage scores;Random projection;Approximate isometry;Dimensionality reduction
Decision: Poster
Title: Distilling Representations from GAN Generator via Squeeze and Span
Authors: Yu Yang, Xiaotian Cheng, Chang Liu, Hakan Bilen, Xiangyang Ji
Affiliations: Tsinghua University, BNRist; University of Edinburgh; Tsinghua University
Conference: nips 2022 (main track)
Keywords: Representation Learning;Generative Adversarial Network;Knowledge Distillation;Self-Supervised Learning
Decision: Poster
Title: RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
Authors: Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
Affiliations: Tencent Robotics X; Hong Kong University of Science and Technology; Tsinghua University; Northwestern University; Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: Offline reinforcement learning;robust reinforcement learning;adversarial attack
Decision: Poster
Title: Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Authors: Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan How
Affiliations: MIT-LIDS, MIT-IBM Watson AI Lab; University of Oxford; IBM-Research, MIT-IBM Watson AI Lab; IBM-Research, MIT-IBM Watson AI Lab, Mila
Conference: nips 2022 (main track)
Keywords: multiagent reinforcement learning;active Markov game;active average reward formulation
Decision: Poster
Title: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Authors: Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou
Affiliations: Google Research, Brain Team
Conference: nips 2022 (main track)
Keywords: Language models;natural language processing;reasoning
Decision: Highlighted
Title: A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Authors: Zonghan Yang, Tianyu Pang, Yang Liu
Affiliations: Department of Computer Science and Technology, Tsinghua University, Beijing, China; Sea AI Lab, Singapore; Department of Computer Science and Technology, Tsinghua University, Beijing, China; Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China; Beijing Academy of Artificial Intelligence, Beijing, China
Conference: nips 2022 (main track)
Decision: Poster
Title: PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration
Authors: Xuan Li, Yadi Cao, Minchen Li, Yin Yang, Craig Schroeder, Chenfanfu Jiang
Affiliations: Department of Computer Science and Engineering, University of California, Riverside; School of Computing, University of Utah; Department of Computer Science, University of California, Los Angeles; Department of Mathematics, University of California, Los Angeles
Conference: nips 2022 (main track)
Keywords: neural network;plasticity;optimization-based time integrator
Decision: Poster
Title: DreamShard: Generalizable Embedding Table Placement for Recommender Systems
Authors: Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
Affiliations: Texas A&M University; Rice University; Meta Platforms, Inc.
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Recommender System;Distributed Training;Embedding Table;Cost Modeling
Decision: Poster
Title: FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo vision
Authors: Alix Leroy, Graham Taylor
Affiliations: Oxford Flight Group, Department of Biology, University of Oxford, Oxford, OX1 3SZ, UK
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: optical flow;motion flow;self-motion;ego-motion;fly;drosophila;calliphora
Decision: Poster
Title: Ask4Help: Learning to Leverage an Expert for Embodied Tasks
Authors: Kunal Pratap Singh, Luca Weihs, Alvaro Herrasti, Jonghyun Choi, Aniruddha Kembhavi, Roozbeh Mottaghi
Affiliations: Yonsei University; PRIOR, Allen Institute for AI
Conference: nips 2022 (main track)
Keywords: Expert-Agent Interaction;Embodied AI;Expert-in-the-loop
Decision: Poster
Title: Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Authors: Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, DING ZHAO
Affiliations: Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: reinforcement learning;curriculum learning;domain adaptation
Decision: Poster
Title: Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Authors: Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Affiliations: EPFL, Switzerland
Conference: nips 2022 (main track)
Keywords: Neural tangent kernel;Hadamard product;extrapolation;spectral bias;kernel regression
Decision: Poster
Title: Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Authors: Tao Zhong, Zhixiang Chi, Li Gu, Yang Wang, Yuanhao Yu, Jin Tang
Affiliations: Huawei Noah’s Ark Lab; Concordia University; University of Toronto
Conference: nips 2022 (main track)
Keywords: Domain generalization;Mixture-of-Experts;Meta-learning;Knowledge distillation;Test-time adaptation
Decision: Poster
Title: Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness
Authors: Sarah Sachs, Hedi Hadiji, Tim van Erven, Cristóbal Guzmán
Affiliations: Pontiﬁcia Universidad Católica de Chile, Institute for Mathematical and Computational Eng., Facultad de Matemáticas and Escuela de Ingeniería; University of Amsterdam, Korteweg-de Vries Institute for Mathematics
Conference: nips 2022 (main track)
Keywords: Online Convex Optimization
Decision: Poster
Title: Online Learning and Pricing for Network Revenue Management with Reusable Resources
Authors: Huiwen Jia, Cong Shi, Siqian Shen
Affiliations: Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI 48109
Conference: nips 2022 (main track)
Keywords: pricing;network;bandits;stochastic systems;queueing network;mixing times
Decision: Poster
Title: Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Authors: YIZHEN ZHENG, Shirui Pan, Vincent CS Lee, Yu Zheng, Philip S Yu
Affiliations: Griffith University; Monash University; La Trobe University; University of Illinois at Chicago
Conference: nips 2022 (main track)
Keywords: Graph Contrastive Learning;Self-supervised Graph Representation Learning;Unsupervised Graph Representation Learning;Graph Representation Learning
Decision: Poster
Title: Bidirectional Learning for Offline Infinite-width Model-based Optimization
Authors: Can Chen, Yingxueff Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates
Affiliations: McGill University; Huawei Noah’s Ark Lab; Beijing Academy of Artificial Intelligence
Conference: nips 2022 (main track)
Keywords: offline model-based optimization;infinite-width neural network;neural tangent kernel;bi-level optimization;out-of-distribution
Decision: Poster
Title: Post-hoc estimators for learning to defer to an expert
Authors: Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya Menon, Ankit Rawat, Sanjiv Kumar
Affiliations: Google Research, Mountain View; Google Research, New York
Conference: nips 2022 (main track)
Keywords: learning to defer;adaptive inference
Decision: Poster
Title: Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Authors: Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
Affiliations: KAIST; NAVER AI Lab, NAVER CLOVA; NAVER AI Lab
Conference: nips 2022 (main track)
Keywords: Active Learning;Open-set Noise;Out-of-distribution Data
Decision: Poster
Title: Generative Neural Articulated Radiance Fields
Authors: Alexander Bergman, Petr Kellnhofer, Wang Yifan, Eric Chan, David Lindell, Gordon Wetzstein
Affiliations: Stanford University; TU Delft; University of Toronto, Vector Institute
Conference: nips 2022 (main track)
Keywords: unsupervised learning;GAN;neural rendering;neural scene representation
Decision: Poster
Title: Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching
Authors: Ramana Subramanyam Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov
Affiliations: LIX, Ecole Polytechnique, IP Paris; Sapienza University of Rome; University of Tübingen
Conference: nips 2022 (main track)
Keywords: non-rigid 3D shape correspondence;3D shape deformation;3D Vision;Computer Graphics
Decision: Poster
Title: PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
Authors: Jing Tan, Xiaotong Zhao, Xintian Shi, Bin Kang, Limin Wang
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University; Platform and Content Group (PCG), Tencent; State Key Laboratory for Novel Software Technology, Nanjing University, Shanghai AI Lab
Conference: nips 2022 (main track)
Keywords: multi-label temporal action detection;keyframe-based detection;query-based detection;temporal action detection
Decision: Poster
Title: Task-Agnostic Graph Explanations
Authors: Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Affiliations: Amazon Search, Palo Alto, CA; Texas A&M University, College Station, TX
Conference: nips 2022 (main track)
Keywords: Graph neural networks;explainability;task-agnostic
Decision: Poster
Title: End-to-end Stochastic Optimization with Energy-based Model
Authors: Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
Affiliations: College of Computing, Georgia Institute of Technology
Conference: nips 2022 (main track)
Keywords: end-to-end stochastic optimization;energy-based model;decision-focused learning
Decision: Highlighted
Title: SCAMPS: Synthetics for Camera Measurement of Physiological Signals
Authors: Daniel McDuff, Miah Wander, Xin Liu, Brian Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis
Affiliations: UW, Seattle, WA, USA; Microsoft, Redmond, WA, USA; Microsoft, Cambridge, UK; UCLA, Los Angeles, CA, USA
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Synthetics;Dataset;Health;Physiology;Computer Vision
Decision: Highlighted
Title: Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors
Authors: Wenhao Zhang, Ying Nian Wu, Si Wu
Affiliations: Department of Statistics, UCLA; School of Psychology and Cognitive Sciences, IDG/McGovern Institute for Brain Research, Center of Quantitative Biology, Peking-Tsinghua Center for Life Sciences, Peking University; Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center; O’Donnell Brain Institute, UT Southwestern Medical Center
Conference: nips 2022 (main track)
Keywords: Neural coding;Equivariant representation;Continuous attractor neural network;Lie group;Drosophila's heading system
Decision: Poster
Title: Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns
Authors: Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Affiliations: Visual Geometry Group, University of Oxford, Oxford, UK
Conference: nips 2022 (main track)
Keywords: Computer Vision;Unsupervised Learning;Object-Centric Learning;Object Decomposition
Decision: Poster
Title: HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces
Authors: Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han
Affiliations: Department of Computer Science, Wayne State University, Detroit, USA; School of Software, BNRist, Tsinghua University, Beijing, China; Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing, China; Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, UAE; School of Informatics, Xiamen University, Xiamen, China
Conference: nips 2022 (main track)
Keywords: Point Cloud;Normal Estimation;Hyper Surface;Surface Fitting
Decision: Poster
Title: The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Authors: Peter Kocsis, Peter Súkeník, Guillem Braso, Matthias Niessner, Laura Leal-Taixé, Ismail Elezi
Affiliations: Technical University of Munich
Conference: nips 2022 (main track)
Keywords: Low-data Regime;Convolutional Networks
Decision: Poster
Title: In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning
Authors: JIAQI WANG, Roei Schuster, I Shumailov, David Lie, Nicolas Papernot
Affiliations: University of Oxford; Vector Institute; University of Toronto
Conference: nips 2022 (main track)
Keywords: adversarial;differential privacy;privacy;attacks
Decision: Poster
Title: A Universal Error Measure for Input Predictions Applied to Online Graph Problems
Authors: Giulia Bernardini, Alexander Lindermayr, Alberto Marchetti-Spaccamela, Nicole Megow, Leen Stougie, Michelle Sweering
Affiliations: CWI and Vrije Universiteit Amsterdam, The Netherlands; University of Trieste, Italy; La Sapienza University of Rome, Italy; CWI, Amsterdam, The Netherlands; University of Bremen, Germany
Conference: nips 2022 (main track)
Keywords: learning-augmented algorithms;untrusted predictions;prediction error;online algorithms;network design;routing;TSP
Decision: Poster
Title: Towards Improving Calibration in Object Detection Under Domain Shift
Authors: Muhammad Akhtar Munir, Muhammad Haris Khan, M. Sarfraz, Mohsen Ali
Affiliations: Karlsruhe Institute of Technology, Mercedes-Benz Tech Innovation; Information Technology University of Punjab; Information Technology University of Punjab, Intelligent Machines Lab, Department of Computer Science; Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2022 (main track)
Keywords: Domain Shift;Uncertanity;Calibration;Object Detection;Out-of-domain calibration
Decision: Poster
Title: LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model
Authors: Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua
Affiliations: Harbin Institute of Technology (Shenzhen); Sea-NExT Joint Lab, School of Computing, National University of Singapore; Wuhan University
Conference: nips 2022 (main track)
Keywords: Information extraction;Syntactic structure;Language model;Natural language processing
Decision: Poster
Title: Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
Authors: Jiechao Guan, Yong Liu, Zhiwu Lu
Affiliations: School of Information, Renmin University of China, Beijing, China; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China; Beijing Key Laboratory of Big Data Management and Analysis Methods, Renmin University of China, Beijing, China
Conference: nips 2022 (main track)
Keywords: meta learning;episodic training strategy;algorithmic stability;generalization bounds;support/query set
Decision: Poster
Title: Multi-dataset Training of Transformers for Robust Action Recognition
Authors: Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen
Affiliations: AI Thrust, Hong Kong University of Science and Technology (Guangzhou); Zhejiang University; Tencent Youtu Lab
Conference: nips 2022 (main track)
Keywords: Action Recognition;Vision Transformers;Multi-task learning;Multi-dataset learning;Robust Representation
Decision: Poster