hunoutl/paperlists huggingface dataset:
Title: Exploring Figure-Ground Assignment Mechanism in Perceptual Organization
Authors: Wei Zhai, Yang Cao, Jing Zhang, Zheng-Jun Zha
Affiliations: University of Science and Technology of China; University of Science and Technology of China, Institute of Artiﬁcial Intelligence, Hefei Comprehensive National Science Center; The University of Sydney
Conference: nips 2022 (main track)
Keywords: Figure-Ground Assignment;Figure-Ground Segregation;Cognitive Inspiration
Decision: Poster
Title: New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Authors: Gautam Kamath, Argyris Mouzakis, Vikrant Singhal
Affiliations: Cheriton School of Computer Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Conference: nips 2022 (main track)
Keywords: Differential Privacy;Learning;Machine Learning;Data Privacy;Statistics;Gaussians;Covariance Estimation;Lower Bounds;Mean Estimation
Decision: Poster
Title: Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
Authors: Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing XU, Hang Xu
Affiliations: Huawei Noah’s Ark Lab; Sun Yat-sen University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Vision-language pre-training;Chinese cross-modal pre-training;Classification and retrieval benchmarks
Decision: Highlighted
Title: The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model
Authors: Aditya Desai, Anshumali Shrivastava
Affiliations: Department of Computer Science, Rice University, Houston, Tx 77005; Department of Computer Science, Rice University/ThirdAI Corp., Houston, Tx 77005
Conference: nips 2022 (main track)
Keywords: embedding compression;DLRM;criteo TB
Decision: Poster
Title: AttCAT: Explaining Transformers via Attentive Class Activation Tokens
Authors: Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu
Affiliations: Department of Computer Science, Wayne State University
Conference: nips 2022 (main track)
Keywords: Transformer;Explanation;Attribution
Decision: Poster
Title: M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
Authors: hanxue liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
Affiliations: University of Texas at Austin; Georgia Institute of Technology; Protagolabs Inc; Texas A&M University; Microsoft Research
Conference: nips 2022 (main track)
Keywords: multi-task learning;mixture of experts;vision transformer;hardware co-design
Decision: Poster
Title: SelecMix: Debiased Learning by Contradicting-pair Sampling
Authors: Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang
Affiliations: Idiap Research Institute; AI Institute, Seoul National University; NAVER AI Lab; AI Institute, Seoul National University; University of Tübingen
Conference: nips 2022 (main track)
Keywords: debias;spurious correlation;mixup
Decision: Poster
Title: Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
Authors: Amrith Setlur, Benjamin Eysenbach, Virginia Smith, Sergey Levine
Affiliations: Carnegie Mellon University; UC Berkeley
Conference: nips 2022 (main track)
Keywords: supervised learning;overfitting;regularization;adversarial examples;spurious correlations
Decision: Poster
Title: Context-Based Dynamic Pricing with Partially Linear Demand Model
Authors: Jinzhi Bu, David Simchi-Levi, Chonghuan Wang
Affiliations: Department of Logistics and Maritime Studies, Faculty of Business, The Hong Kong Polytechnic University; Institute for Data, Systems, and Society, Department of Civil and Environmental Engineering, Operations Research Center, MIT; Laboratory for Information and Decision Systems, MIT
Conference: nips 2022 (main track)
Keywords: Partially linear model;contextual dynamic pricing;online learning
Decision: Poster
Title: On the Theoretical Properties of Noise Correlation in Stochastic Optimization
Authors: Aurelien Lucchi, Frank Proske, Antonio Orvieto, Francis Bach, Hans Kersting
Affiliations: Inria, Ecole Normale Supérieure, PSL Research University, Paris, France.; Department of Mathematics, University of Oslo, Oslo, Norway.; Department of Mathematics & Computer Science, University of Basel, Basel, Switzerland.; Department of Computer Science, ETH Zürich, Zürich, Switzerland.
Conference: nips 2022 (main track)
Keywords: Stochastic Optimization;Fractional Brownian Motion;Noise injection
Decision: Poster
Title: Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons
Authors: Paul Bertens, Seong-Whan Lee
Affiliations: Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea; Department of Artificial Intelligence, Korea University, Seoul, South Korea
Conference: nips 2022 (main track)
Keywords: Spiking Neural Networks;Neuroscience;Neural Architecture Search;Self-organizing maps
Decision: Poster
Title: Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
Authors: Zhiyang Chen, Yousong Zhu, Zhaowen Li, Fan Yang, Wei Li, Haixin Wang, Chaoyang Zhao, Liwei Wu, Rui Zhao, Jinqiao Wang, Ming Tang
Affiliations: National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; SenseTime Research; Peng Cheng Laboratory
Conference: nips 2022 (main track)
Keywords: transformer;general visual framework;sequence prediction;multi-task
Decision: Poster
Title: Structural Pruning via Latency-Saliency Knapsack
Authors: Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
Affiliations: NVIDIA
Conference: nips 2022 (main track)
Keywords: model compression;deep neural network pruning;latency reduction
Decision: Poster
Title: Information-Theoretic Safe Exploration with Gaussian Processes
Authors: Alessandro Bottero, Carlos Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Affiliations: Bosch Center for Artiﬁcial Intelligence, Germany; Technische Universität Darmstadt, Germany
Conference: nips 2022 (main track)
Keywords: Safe exploration;Gaussian process
Decision: Poster
Title: Mesoscopic modeling of hidden spiking neurons
Authors: Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner
Affiliations: Laboratory of Computational Neuroscience, École polytechnique fédérale de Lausanne (EPFL)
Conference: nips 2022 (main track)
Keywords: recurrent spiking neural network;hidden spiking neurons;maximum likelihood;mean-field approximation;finite-size fluctuations;neural population dynamics;latent variable model;expectation-maximization algorithm;metastable dynamics
Decision: Poster
Title: Meta-Reinforcement Learning with Self-Modifying Networks
Authors: Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
Affiliations: Centre de Recherche Cerveau & Cognition, CNRS, Universite de Toulouse, France; Artificial and Natural Intelligence Toulouse Institute, Universite de Toulouse, France; Carney Institute for Brain Science, Brown University, U.S.
Conference: nips 2022 (main track)
Keywords: Meta-reinforcement learning;Synaptic plasticity;Hopfield networks;Control theory
Decision: Poster
Title: Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization
Authors: Arman Zharmagambetov, Miguel A. Carreira-Perpinan
Affiliations: Dept. of Computer Science and Engineering, University of California, Merced
Conference: nips 2022 (main track)
Keywords: semi-supervised learning;decision trees;alternating optimization;graph prior;interpretability
Decision: Poster
Title: Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets
Authors: Yiyun Luo, Will Wei Sun, Yufeng Liu
Affiliations: Department of Statistics and Operations Research, Department of Genetics, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599; Krannert School of Management, Purdue University, West Lafayette, IN 47907; Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599
Conference: nips 2022 (main track)
Decision: Poster
Title: Distributionally Robust Optimization with Data Geometry
Authors: Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
Affiliations: Department of Computer Science & Technology, Tsinghua University, Beijing, China; School of Economics and Management, Tsinghua University, Beijing, China
Conference: nips 2022 (main track)
Keywords: Distributional Robustness;Over-flexibility Problem;Data Geometry
Decision: Poster
Title: Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
Authors: Alex Ororbia, Ankur Mali, C Lee Giles, Daniel Kifer
Affiliations: University of South Florida, Tampa, FL 33620, USA; Rochester Institute of Technology, Rochester, NY 14623, USA; The Pennsylvania State University, State College, PA 16801, USA
Conference: nips 2022 (main track)
Keywords: Continual Learning;Lifelong Learning;Deep Learning;Credit Assignment;Sparsity;Brain-inspired Learning;Predictive Coding
Decision: Poster
Title: Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
Authors: Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell
Affiliations: University of Tübingen, Tübingen, Germany; Amazon Web Services, Tübingen, Germany; Fiddler AI, Palo Alto, USA
Conference: nips 2022 (main track)
Keywords: Machine Learning;Neural Networks;Algorithmic Fairness;Demographic Parity;Disparate Treatment
Decision: Poster
Title: Neural-Symbolic Entangled Framework for Complex Query Answering
Authors: Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, Huajun Chen
Affiliations: Zhejiang University & AZFT Joint Lab for Knowledge Engine, China; Alibaba Group; Zhejiang University & Hangzhou Innovation Center, Zhejiang University
Conference: nips 2022 (main track)
Keywords: neural and symbolic;complex query answering;knowledge graph
Decision: Poster
Title: Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior
Authors: James Gardner, Bernhard Egger, William Smith
Affiliations: Department of Computer Science, University of York, York, United Kingdom; Cognitive Computer Vision Lab, Friedrich-Alexander-Universität, Erlangen, Germany
Conference: nips 2022 (main track)
Keywords: Neural Fields;Equivariance;High Dynamic Range;Environment Maps;Illumination Prior;Inverse Rendering
Decision: Poster
Title: Learning from Label Proportions by Learning with Label Noise
Authors: Jianxin Zhang, Yutong Wang, Clay Scott
Affiliations: Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109
Conference: nips 2022 (main track)
Keywords: Machine Learning;Semi-supervised Learning;Learning Theory;Learning from Label Proportions;Learning from Label Noise
Decision: Poster
Title: Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation
Authors: Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang
Affiliations: School of information and Electronics, Beijing Institute of Technology; Huawei Noah’s Ark Lab; Key Laboratory of Machine Perception (MOE), School of Intelligence Science and Technology, Peking University
Conference: nips 2022 (main track)
Keywords: vision transformer;knowledge diatillation;manifold learning
Decision: Poster
Title: Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees
Authors: Wenying Deng, Beau Coker, Rajarshi Mukherjee, Jeremiah Liu, Brent Coull
Affiliations: Harvard University; Harvard University & Google Research
Conference: nips 2022 (main track)
Keywords: variable selection;posterior distribution;Bayesian nonparametric
Decision: Poster
Title: Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Authors: Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Affiliations: 1Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; 2School of Computer Science and Tech., University of Chinese Academy of Sciences; Alibaba Group; 2School of Computer Science and Tech., University of Chinese Academy of Sciences; 1Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; 2School of Computer Science and Tech., University of Chinese Academy of Sciences; 4BDKM, University of Chinese Academy of Sciences; 5Peng Cheng Laboratory; 1Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS
Conference: nips 2022 (main track)
Keywords: AUPRC optimization;generalization via stability;learning to rank;deep learning
Decision: Poster
Title: Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?
Authors: Chuwei Wang, Shanda Li, Di He, Liwei Wang
Affiliations: School of Mathematical Sciences, Peking University; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Center for Data Science, Peking University; Machine Learning Department, School of Computer Science, Carnegie Mellon University; Zhejiang Lab; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University
Conference: nips 2022 (main track)
Keywords: Physics-Informed Neural Network;Partial Differential Equation;adversarial training
Decision: Poster
Title: Exploration via Planning for Information about the Optimal Trajectory
Authors: Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
Affiliations: Princeton University; Machine Learning Department, Carnegie Mellon University; Robotics Institute, Carnegie Mellon University; Computer Science Department, Stanford University; Princeton Plasma Physics Laboratory
Conference: nips 2022 (main track)
Keywords: reinforcement learning;information gain;exploration;planning
Decision: Poster
Title: A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
Authors: Philip Amortila, Nan Jiang, Dhruv Madeka, Dean Foster
Affiliations: University of Illinois, Urbana-Champaign; Amazon, NYC
Conference: nips 2022 (main track)
Keywords: Reinforcement learning;imitation learning;function approximation;sample efficiency;linear realizability
Decision: Poster
Title: Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
Authors: Shuai Jia, Bangjie Yin, Taiping Yao, Shouhong Ding, Chunhua Shen, Xiaokang Yang, Chao Ma
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; Zhejiang University; Youtu Lab, Tencent
Conference: nips 2022 (main track)
Keywords: adversarial attack;face recognition
Decision: Poster
Title: Training Spiking Neural Networks with Event-driven Backpropagation
Authors: Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier
Affiliations: Centre de Recherche Cerveau et Cognition (CERCO), UMR5549 CNRS - Univ. Toulouse 3, Toulouse, France; School of Computer Science, Peking University; Institute for Artificial Intelligence, Peking University
Conference: nips 2022 (main track)
Keywords: Spiking Neural Networks;Event-driven Learning;Time-based Gradient
Decision: Poster
Title: Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection
Authors: GE ZHANG, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu Aggarwal
Affiliations: University of Wollongong; Macquarie University; Carnegie Mellon University; IBM T. J. Watson Research Center; AMSS, Chinese Academy of Sciences; Zhuiyi Technology; Beihang University
Conference: nips 2022 (main track)
Keywords: Graph-level Anomaly Detection;Graph Neural Networks;Imbalanced Data
Decision: Poster
Title: Graph Learning Assisted Multi-Objective Integer Programming
Authors: Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin
Affiliations: Nanyang Technological University; Singapore Institute of Manufacturing Technology, A*STAR; Institute of Marine Science and Technology, Shandong University, China
Conference: nips 2022 (main track)
Keywords: Multi-objective integer programs;Graph learning;Objective-space decomposition;Attention
Decision: Poster
Title: Adapting to Online Label Shift with Provable Guarantees
Authors: Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou
Affiliations: RIKEN AIP, Tokyo, Japan; The University of Tokyo, Chiba, Japan; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2022 (main track)
Keywords: online label shift;dynamic regret
Decision: Poster
Title: Relation-Constrained Decoding for Text Generation
Authors: Xiang Chen, Zhixian Yang, Xiaojun Wan
Affiliations: Center for Data Science, Peking University; The MOE Key Laboratory of Computational Linguistics, Peking University; Wangxuan Institute of Computer Technology, Peking University
Conference: nips 2022 (main track)
Keywords: constrained decoding;text generation
Decision: Poster
Title: Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps
Authors: Yue Hu, Shaoheng Fang, Zixing Lei, Yiqi Zhong, Siheng Chen
Affiliations: Cooperative Medianet Innovation Center, Shanghai Jiao Tong University; University of Southern California; Shanghai Jiao Tong University, Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: Collaborative perception;3D object detection
Decision: Poster
Title: MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Authors: Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger
Affiliations: Czech Technical University in Prague; University of Tübingen; ETH Zurich
Conference: nips 2022 (main track)
Keywords: 3D Reconstruction;Neural Implicit Representations;Neural Rendering;Multi-view Reconstruction;Neural Implicit Surfaces;Monocular Priors
Decision: Poster
Title: Active Learning of Classifiers with Label and Seed Queries
Authors: Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
Affiliations: Dept. of CS, Univ. of Milan, Italy; Dept. of CS, Univ. of Milan, Italy & Istituto Italiano di Tecnologia, Italy; DSRC & Dept. of CS, Univ. of Milan, Italy; Google; Research Unit ML, TU Wien, Austria
Conference: nips 2022 (main track)
Keywords: Active learning;Clustering;Multiclass classification
Decision: Poster
Title: Autoinverse: Uncertainty Aware Inversion of Neural Networks
Authors: Navid Ansari, Hans-peter Seidel, Nima Vahidi Ferdowsi, Vahid Babaei
Affiliations: Max Planck Institute for Informatics, Saarbrücken, Germany
Conference: nips 2022 (main track)
Keywords: Neural networks;inverse problems;uncertainty;deep ensembles
Decision: Poster
Title: A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Authors: Eloïse Berthier, Ziad Kobeissi, Francis Bach
Affiliations: Inria & Ecole Normale Supérieure, PSL Research University, Paris, France; Institut Louis Bachelier, Inria Paris
Conference: nips 2022 (main track)
Keywords: reinforcement learning;temporal-difference learning;non-parametric;kernel methods;convergence;policy evaluation
Decision: Poster
Title: 3DB: A Framework for Debugging Computer Vision Models
Authors: Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
Affiliations: MIT; Microsoft Research
Conference: nips 2022 (main track)
Keywords: robustness;debugging;simulation;computer vision;deep learning
Decision: Poster
Title: Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Authors: Renan A. Rojas-Gomez, Teck-Yian Lim, Alex Schwing, Minh Do, Raymond A. Yeh
Affiliations: †Department of Computer Science, Purdue University; Department of Electrical Engineering, University of Illinois at Urbana-Champaign
Conference: nips 2022 (main track)
Keywords: Convolutional Neural Networks;Shift equivariance;Shift invariance;Polyphase Decomposition
Decision: Poster
Title: Convergence for score-based generative modeling with polynomial complexity
Authors: Holden Lee, Jianfeng Lu, Yixin Tan
Affiliations: Department of Mathematics, Duke University; Department of Applied Mathematics and Statistics, Johns Hopkins University
Conference: nips 2022 (main track)
Keywords: Langevin sampling;score-based generative modelling;diffusion model;reverse SDE;annealing;prediction-correction
Decision: Highlighted
Title: Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Authors: Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, GUANNAN JIANG, Xi Wang, Chengjie Wang
Affiliations: CATL; Tencent YouTu Lab
Conference: nips 2022 (main track)
Keywords: few-shot object detection;few-shot instance segmentaton;instance-level few-shot;missing label
Decision: Poster
Title: Mean Estimation with User-level Privacy under Data Heterogeneity
Authors: Audra McMillan
Affiliations: Department of Industrial Engineering and Operations Research, Columbia University, New York, NY 10027; Apple, Cupertino, CA 95014
Conference: nips 2022 (main track)
Keywords: differential privacy;heterogeneous data;heterogeneous users;mean estimation;statistical inference;meta analysis
Decision: Poster
Title: MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack
Authors: yunrui yu, Xitong Gao, Cheng-Zhong Xu
Affiliations: State Key Lab of IOTSC, University of Macau, Macau SAR, China; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Conference: nips 2022 (main track)
Keywords: adversarial attack;ensemble adversarial defense;model robustness
Decision: Poster
Title: Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel
Authors: Seijin Kobayashi, Pau Vilimelis Aceituno, Johannes von Oswald
Affiliations: Department of Computer Science, ETH Zürich; Institute of Neuroinformatics, University of Zürich & ETH Zürich
Conference: nips 2022 (main track)
Keywords: Deep Ensembles;Neural Tangent Kernel;Out-of-Distribution
Decision: Poster
Title: Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Authors: Jonathan Crabbé, Alicia Curth, Ioana Bica, Mihaela van der Schaar
Affiliations: University of Cambridge; University of Cambridge, The Alan Turing Institute, UCLA; University of Oxford, The Alan Turing Institute
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: heterogeneous treatment effect;CATE;ITE;causal inference;interpretability;feature importance;benchmark
Decision: Poster
Title: PDEBench: An Extensive Benchmark for Scientific Machine Learning
Authors: Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
Affiliations: CSIRO’s Data61; University of Stuttgart; NEC Labs Europe
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Scientific Machine Learning;Benchmark;Partial Differential Equations;PINN;FNO;U-Net;Inverse problem
Decision: Poster
Title: UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Authors: Philipp Oberdiek, Gernot Fink, Matthias Rottmann
Affiliations: Department of Computer Science, TU Dortmund University; School of Computer and Communication Sciences, EPFL; School of Mathematics and Natural Sciences, University of Wuppertal
Conference: nips 2022 (main track)
Keywords: uncertainty quantification;deep neural network;GAN;out-of-distribution
Decision: Poster
Title: EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
Authors: Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard Higgins, Sanja Fidler, David Fouhey, Dima Damen
Affiliations: Uni. of Toronto, CA; Uni. of Michigan, US; Uni. of Bristol, UK
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Egocentric Vision;Pixel Segmentations;Hands;Active Objects;Action;Long-Term Understanding
Decision: Poster