hunoutl/paperlists huggingface dataset:
Title: Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks
Authors: Frank Nussbaum, Jakob Gawlikowski, Julia Niebling
Affiliations: Friedrich-Schiller-University Jena and German Aerospace Center (DLR), Institute of Data Science; Technical University of Munich and German Aerospace Center (DLR), Institute of Data Science; German Aerospace Center (DLR), Institute of Data Science
Conference: nips 2022 (main track)
Keywords: stochastic segmentation;sample control;uncertainty representation;factor model;factor rotations;aleatoric uncertainty
Decision: Poster
Title: Approximation with CNNs in Sobolev Space: with Applications to Classification
Authors: Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
Affiliations: Department of Statistics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China; School of Mathematics and Statistics, and Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan 430072, China; Department of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
Conference: nips 2022 (main track)
Keywords: Approximation;error bound;smooth functions;classification;neural networks
Decision: Highlighted
Title: GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy
Authors: Yemin Yu, Ying Wei, Kun Kuang, Zhengxing Huang, Huaxiu Yao, Fei Wu
Affiliations: City University of Hong Kong, Zhejiang University; City University of Hong Kong; Zhejiang University, Shanghai Artificial Intelligence Laboratory; Stanford University; Zhejiang University
Conference: nips 2022 (main track)
Keywords: Retrosynthesis prediction;retrosynthetic planning
Decision: Poster
Title: A Reduction to Binary Approach for Debiasing Multiclass Datasets
Authors: Ibrahim Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo
Affiliations: Google Research, Zürich, Switzerland; Google Research, Mountain View, United States; Google Research, London, United Kingdom
Conference: nips 2022 (main track)
Keywords: Fairness;Classification;Demographic Parity;Deep Learning;Computer Vision;Healthcare
Decision: Poster
Title: Sample-Then-Optimize Batch Neural Thompson Sampling
Authors: Zhongxiang Dai, YAO SHU, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: Dept. of Computer Science, National University of Singapore, Republic of Singapore; Dept. of Electrical Engineering and Computer Science, MIT, USA
Conference: nips 2022 (main track)
Keywords: Bayesian optimization;Gaussian processes;neural tangent kernel
Decision: Poster
Title: Introspective Learning : A Two-Stage approach for Inference in Neural Networks
Authors: Mohit Prabhushankar, Ghassan AlRegib
Affiliations: Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30308
Conference: nips 2022 (main track)
Keywords: Recognition;Active Learning;Out-of-distribution Detection;Model Calibration;Uncertainty
Decision: Poster
Title: ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment
Authors: Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, and Daniela Rus
Affiliations: MIT CSAIL, Cambridge, MA 02139
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Wearable sensors;multimodal dataset;multimodal recording;activities of daily living;kitchen activities;robot assistants;machine learning;neural networks;learning pipelines;human subjects;experimental design;open-source;recording software;motion tracking;body tracking;joint angles;eye tracking;gaze;attention;tactile sensing;muscle activity;EMG;video;depth;RGBD;cameras;audio;microphones
Decision: Poster
Title: Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Authors: Dmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev, Michael Persiianov, Peter Richtarik, Alexander Gasnikov
Affiliations: MIPT†, HSE University and Yandex, Russia; MIPT, HSE University and IITP RAS‡, Russia; KAUST⇤, Saudi Arabia; KAUST, Saudi Arabia; MIPT, Russia
Conference: nips 2022 (main track)
Keywords: convex optimization;variational inequalities;stochastic optimization;saddle point problems;decentralized optimization
Decision: Poster
Title: Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D representations
Authors: Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu
Affiliations: School of Information Science and Technology, Fudan University, China; Tencent PCG, China
Conference: nips 2022 (main track)
Keywords: Coordinate Learning;Implicit Neural Representation;Inverse Rendering;Neural Radiance Field
Decision: Poster
Title: New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
Authors: Arushi Gupta, Nikunj Saunshi, Dingli Yu, Kaifeng Lyu, Sanjeev Arora
Affiliations: Princeton University
Conference: nips 2022 (main track)
Keywords: saliency;saliency methods;saliency evaluation;soundness;sanity checks;interpretability
Decision: Highlighted
Title: Delving into Sequential Patches for Deepfake Detection
Authors: Jiazhi Guan, Hang Zhou, Zhibin Hong, Errui Ding, Jingdong Wang, Chengbin Quan, Youjian Zhao
Affiliations: Department of Computer Science and Technology, Tsinghua University; Department of Computer Vision Technology (VIS), Baidu Inc.; Zhongguancun Laboratory
Conference: nips 2022 (main track)
Keywords: Deepfake Detection;Digital Forensics
Decision: Poster
Title: On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane
Authors: Gabriele Cesa, Arash Behboodi, Taco Cohen, Max Welling
Affiliations: AMLab, University of Amsterdam; Qualcomm AI Research, Amsterdam⇤, AMLab, University of Amsterdam; Qualcomm AI Research, Amsterdam⇤
Conference: nips 2022 (main track)
Keywords: cryo-EM;synchronization;representation-theory;equivariance;spectral
Decision: Poster
Title: Look More but Care Less in Video Recognition
Authors: Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu
Affiliations: Department of Electrical and Computer Engineering, Northeastern University/Khoury College of Computer Science, Northeastern University; Department of Electrical and Computer Engineering, Northeastern University
Conference: nips 2022 (main track)
Keywords: Action Recognition;Dynamic Networks;Efficiency
Decision: Poster
Title: Cryptographic Hardness of Learning Halfspaces with Massart Noise
Authors: Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi, Lisheng Ren
Affiliations: UW Madison; UC San-Diego; Google Research
Conference: nips 2022 (main track)
Keywords: learning theory;hardness of learning;halfspaces;Massart noise;Learning with Errors (LWE)
Decision: Poster
Title: Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Authors: Hossein Souri, Liam Fowl, Rama Chellappa, Micah Goldblum, Tom Goldstein
Affiliations: New York University; Johns Hopkins University; University of Maryland
Conference: nips 2022 (main track)
Keywords: Backdoor attacks;data poisoning;clean labels;adversarial examples;security
Decision: Poster
Title: Learning in Congestion Games with Bandit Feedback
Authors: Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Du
Affiliations: Department of Electrical & Computer Engineering, University of Washington; Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: nips 2022 (main track)
Keywords: reinforcement learning theory;multi-agent reinforcement learning;congestion game
Decision: Poster
Title: On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Authors: Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra
Affiliations: Department of Computer Science, University of California, Davis, CA 95616
Conference: nips 2022 (main track)
Keywords: Deep Clustering;Adversarial Attacks;Visual Learning;Robust Learning
Decision: Poster
Title: TreeMoCo: Contrastive Neuron Morphology Representation Learning
Authors: Hanbo Chen, Jiawei Yang, Daniel Iascone, Lijuan Liu, Lei He, Hanchuan Peng, Jianhua Yao
Affiliations: University of California, Los Angeles; University of Pennsylvania, Philadelphia; Southeast University, Nanjing; Tencent AI Lab
Conference: nips 2022 (main track)
Keywords: neuron morphology;cell types;contrastive learning;tree graph augmentation;tree-LSTM
Decision: Poster
Title: Amortized Mixing Coupling Processes for Clustering
Authors: Huafeng Liu, Liping Jing
Affiliations: Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China; The Department of Mathematics, The University of HongKong, Hong Kong SAR, China; Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China
Conference: nips 2022 (main track)
Keywords: generative model;amortized clustering
Decision: Poster
Title: Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Authors: Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok
Affiliations: Ludwig-Maximilian University of Munich; Ludwig-Maximilian University of Munich, University of Tromsø; Technion - Israel Institute of Technology
Conference: nips 2022 (main track)
Keywords: graph neural networks;message passing;generalization;convergence;large random graphs
Decision: Poster
Title: A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning
Authors: Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang
Affiliations: Institute of Automation, CAS Nanjing Artiﬁcial Intelligence Research of IA; Institute for AI, Peking University, Beijing Institute for General AI; University College London; Institute of Automation, Chinese Academy of Sciences; DeepMind; University of Edinburgh
Conference: nips 2022 (main track)
Keywords: Meta Reinforcement Learning;Gradient Bias
Decision: Poster
Title: Interaction-Grounded Learning with Action-Inclusive Feedback
Authors: Tengyang Xie, Akanksha Saran, Dylan J Foster, Lekan Molu, Ida Momennejad, Nan Jiang, Paul Mineiro, John Langford
Affiliations: UIUC; Microsoft Research, New England; Microsoft Research, NYC
Conference: nips 2022 (main track)
Keywords: interaction-grounded learning;interactive machine learning;reinforcement learning;contextual bandits;human-AI interaction
Decision: Poster
Title: Monocular Dynamic View Synthesis: A Reality Check
Authors: Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, Angjoo Kanazawa
Affiliations: Carnegie Mellon University; Adobe Research; UC Berkeley
Conference: nips 2022 (main track)
Keywords: dynamic view synthesis;novel-view synthesis;single-view 3D;dynamic 3D;3D vision;NeRF
Decision: Poster
Title: The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization
Authors: Dmitry Kovalev, Alexander Gasnikov
Affiliations: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia; Moscow Institute of Physics and Technology, Dolgoprudny, Russia; Institute for System Programming RAS, Research Center for Trusted Artificial Intelligence, Moscow, Russia; National Research University Higher School of Economics, Moscow, Russia
Conference: nips 2022 (main track)
Keywords: convex optimization;minimax optimization;saddle point problems;optimal algorithms
Decision: Poster
Title: Learning to Constrain Policy Optimization with Virtual Trust Region
Authors: Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Affiliations: Applied AI Institute, Deakin University, Geelong, Australia
Conference: nips 2022 (main track)
Keywords: trust region policy optimization;attention mechanism;policy memory
Decision: Poster
Title: Benign Overfitting in Two-layer Convolutional Neural Networks
Authors: Yuan Cao, Zixiang Chen, Misha Belkin, Quanquan Gu
Affiliations: Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095, USA; Haliciolu Data Science Institute, University of California San Diego, La Jolla, CA 92093, USA; Department of Statistics & Actuarial Science, Department of Mathematics, The University of Hong Kong
Conference: nips 2022 (main track)
Decision: Highlighted
Title: Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Authors: Tim Pearce, Jong-Hyeon Jeong, yichen jia, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., NRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua University; Microsoft Research; Dept. of Comp. Sci. & Tech., NRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua University; University of Pittsburgh
Conference: nips 2022 (main track)
Keywords: deep learning;neural networks;survival analysis;quantile regression;censored data
Decision: Highlighted
Title: LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning
Authors: Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang
Affiliations: Stanford University, USA; Tsinghua University, China; Shenzhen Institute of Artificial Intelligence and Robotics for Society, China
Conference: nips 2022 (main track)
Keywords: Offline reinforcement learning;imitation learning
Decision: Poster
Title: SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Authors: Xi Jiang, Jianlin Liu, Jinbao Wang, Qiang Nie, Kai WU, Yong Liu, Chengjie Wang, Feng Zheng
Affiliations: Tencent, Youtu Lab; Southern University of Science and Technology, Department of Computer Science and Engineering
Conference: nips 2022 (main track)
Keywords: Anomaly Detection;Noisy Label;Outlier Detection
Decision: Poster
Title: Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks
Authors: Yijing Liu, Qinxian Liu, Jian-Wei Zhang, Haozhe Feng, Zhongwei Wang, Zihan Zhou, Wei Chen
Affiliations: State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Multivariate Time-series Forecasting;Spatial-temporal Graph
Decision: Poster
Title: Value Function Decomposition for Iterative Design of Reinforcement Learning Agents
Authors: James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter Wurman, Peter Stone
Affiliations: The University of Texas at Austin; Sony AI
Conference: nips 2022 (main track)
Keywords: reinforcement learning;explainable AI;machine learning;decision making;deep learning
Decision: Poster
Title: Learning Partial Equivariances From Data
Authors: David W. Romero, Suhas Lohit
Affiliations: Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Mitsubishi Electric Research Laboratories, Cambridge, MA, USA
Conference: nips 2022 (main track)
Keywords: partial equivariance;soft equivariance;group equivariance;group convolutional neural networks
Decision: Poster
Title: ZIN: When and How to Learn Invariance Without Environment Partition?
Authors: Yong Lin, Shengyu Zhu, Lu Tan, Peng Cui
Affiliations: Huawei Noah’s Ark Lab; Tsinghua University; HKUST
Conference: nips 2022 (main track)
Keywords: Invariant Risk Minimization;Out-of-Domain Generalization;Transfer Learning
Decision: Poster
Title: Estimation of Entropy in Constant Space with Improved Sample Complexity
Authors: Maryam Aliakbarpour, Andrew McGregor, Jelani Nelson, Erik Waingarten
Affiliations: Stanford University, Supported by the National Science Foundation under Award no. 2002201 and Moses Charikar’s Simons Investigator Award; Boston University and Northeastern University, Supported by NSF awards CNS-2120667, CNS-2120603, CCF 1934846, and BU’s Hariri Institute for Computing; University of Massachusetts Amherst, Supported by NSF awards CCF-1934846, CCF-1908849, and CCF-1637536; UC Berkeley, Supported by NSF award CCF-1951384, ONR grant N00014-18-1-2562, ONR DORECG award N00014-17-1-2127, and a Google Faculty Research Award
Conference: nips 2022 (main track)
Keywords: Sample complexity;Data streams;Shannon Entropy
Decision: Poster
Title: Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions
Authors: Courtney Paquette, Elliot Paquette, Ben Adlam, Jeffrey Pennington
Affiliations: McGill University; Google Research, Brain and McGill University; Google Research, Brain
Conference: nips 2022 (main track)
Keywords: High dimensional;least squares;SGD;implicit regularization;exact dynamics;SDE
Decision: Poster
Title: Rethinking Generalization in Few-Shot Classification
Authors: Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond
Affiliations: School of Computing and Information Systems, The University of Melbourne; Department of Electrical and Computer Systems Engineering, Monash University
Conference: nips 2022 (main track)
Keywords: Few-shot learning;Vision Transformer;Transformer;Classification
Decision: Poster
Title: A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
Authors: Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
Affiliations: Dept. of Computer Science, University of Copenhagen, Denmark; Dept. of Computer Science, Università degli Studi di Milano, Italy
Conference: nips 2022 (main track)
Keywords: Online Learning;Feedback Graphs;Beyond Bandits
Decision: Poster
Title: Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing
Authors: Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng
Affiliations: Department of Computer Science and Engineering, The Chinese University of Hong Kong; Zhejiang Lab, Zhejiang University; Tianjin University; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Institute of Medical Intelligence and XR, The Chinese University of Hong Kong
Conference: nips 2022 (main track)
Keywords: multiagent system;deep reinforcement learning;action parsing;working memory
Decision: Poster
Title: Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Authors: Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong
Affiliations: Salesforce Research, USA
Conference: nips 2022 (main track)
Keywords: ensemble;model averaging;simple moving average;domain generalization;model selection;bias-variance trade-off
Decision: Poster
Title: On the Complexity of Adversarial Decision Making
Authors: Dylan J Foster, Alexander Rakhlin, Ayush Sekhari, Karthik Sridharan
Affiliations: Cornell University; MIT; Microsoft
Conference: nips 2022 (main track)
Keywords: Decision making;learning theory;bandits;reinforcement learning theory;online learning;adversarial;non-stochastic;decision-estimation coefficient;information ratio
Decision: Highlighted
Title: Disentangling Transfer in Continual Reinforcement Learning
Authors: Maciej Wolczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś
Affiliations: Ideas NCBR, Polish Academy of Sciences, deepsense.ai, Warsaw, Poland; DeepMind, London, UK; Polish Academy of Sciences, Warsaw, Poland; Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland
Conference: nips 2022 (main track)
Keywords: continual learning;reinforcement learning;transfer learning
Decision: Poster
Title: Neural Shape Deformation Priors
Authors: Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Niessner
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Technical University of Munich; Sony Europe RDC Stuttgart
Conference: nips 2022 (main track)
Keywords: Geometric processing;Shape Deformation;Deformation Fields;Shape Editing;Shape manipulation
Decision: Poster
Title: Efficient Aggregated Kernel Tests using Incomplete $U$-statistics
Authors: Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton
Affiliations: Centre for Artiﬁcial Intelligence, Gatsby Computational Neuroscience Unit, University College London & Inria London; Centre for Artiﬁcial Intelligence, University College London & Inria London; Department of Statistics & Data Science, Department of Applied Statistics, Yonsei University; Gatsby Computational Neuroscience Unit, University College London
Conference: nips 2022 (main track)
Keywords: kernel methods;hypothesis tests;adaptivity
Decision: Poster
Title: Efficiency Ordering of Stochastic Gradient Descent
Authors: Jie Hu, Vishwaraj Doshi, Do-Young Eun
Affiliations: Department of Electrical and Computer Engineering, North Carolina State University; Data Science and Advanced Analytics, IQVIA
Conference: nips 2022 (main track)
Keywords: Stochastic Gradient Descent;Asymptotic Analysis;Efficiency Ordering
Decision: Poster
Title: SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
Authors: Reinmar Kobler, Jun-ichiro Hirayama, Qibin Zhao, Motoaki Kawanabe
Affiliations: RIKEN Center for Advanced Intelligence Project (RIKEN AIP), Tokyo, Japan; RIKEN Center for Advanced Intelligence Project (RIKEN AIP), Tokyo, Japan and Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan
Conference: nips 2022 (main track)
Keywords: neurophysiology;electroencephalography;brain-computer interface;unsupervised domain adaptation;geometric deep learning;interpretability
Decision: Poster
Title: Periodic Graph Transformers for Crystal Material Property Prediction
Authors: Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji
Affiliations: Computer Science & Engineering, Texas A&M University, College Station, TX 77843; Computer Science, Florida State University, Tallahassee, FL 32306
Conference: nips 2022 (main track)
Keywords: Periodic Invariance;periodic pattern encoding;material transformers;crystal property prediction;material discovery
Decision: Poster
Title: Graph Scattering beyond Wavelet Shackles
Authors: Christian Koke, Gitta Kutyniok
Affiliations: Ludwig Maximilian University Munich & University of Tromsø; Technical University of Munich & Ludwig Maximilian University Munich
Conference: nips 2022 (main track)
Keywords: Geometric Deep Learning;Graph Convolutional Networks;Scattering;Wavelets;Stability Guarantees;Rigorous Proofs;Quantum Chemistry
Decision: Poster
Title: Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation
Authors: Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch
Affiliations: MIP, Kiel University; University of Helsinki; Rzeszow University of Technology; Luke, Natural Resources Institute Finland; ITW, University Bonn; LOV, Sorbonne Université; ITT, Friedrich-Loeffler-Institut
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: dataset;benchmark;ambiguity;noisy
Decision: Poster
Title: Kernel Memory Networks: A Unifying Framework for Memory Modeling
Authors: Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
Affiliations: Laboratory of Computational Neuroscience, École Polytechnique Fédérale de Lausanne, Switzerland; Laboratory of Computational Neuroscience, Blue Brain Project, École Polytechnique Fédérale de Lausanne, Switzerland
Conference: nips 2022 (main track)
Keywords: attractor networks;associative memory;kernel methods;Hopfield networks
Decision: Poster
Title: Generative multitask learning mitigates target-causing confounding
Authors: Taro Makino, Krzysztof Geras, Kyunghyun Cho
Affiliations: Genentech, CIFAR LMB; NYU Center for Data Science; NYU Grossman School of Medicine
Conference: nips 2022 (main track)
Keywords: causal representation learning;causal machine learning;multitask learning;causality;robustness;out-of-distribution generalization
Decision: Poster