hunoutl/paperlists huggingface dataset:
Title: Truncated Marginal Neural Ratio Estimation
Authors: Benjamin K Miller, Alex Cole, Patrick Forré, Gilles Louppe, Christoph Weniger
Affiliations: University of Amsterdam; University of Liège
Conference: nips 2021 (main track)
Keywords: simulation-based inference;likelihood-free inference;implicit likelihood;posterior;marginal posterior;likelihood-to-evidence ratio estimation;neural ratio estimation;empirically testable inference;Bayesian inference;inverse problem
Decision: Poster
Title: RoMA: Robust Model Adaptation for Offline Model-based Optimization
Authors: Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
Affiliations: Mohamed bin Zayed University of Artiﬁcial Intelligence (MBZUAI); Korea Advanced Institute of Science and Technology (KAIST); Mohamed bin Zayed University of Artiﬁcial Intelligence (MBZUAI)3BioMap
Conference: nips 2021 (main track)
Keywords: model-based optimization
Decision: Poster
Title: Variational Continual Bayesian Meta-Learning
Authors: Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
Affiliations: Sun Yat-sen University, China; University of Glasgow, United Kingdom; Mohamed bin Zayed University of Artiﬁcial Intelligence, United Arab Emirates; University College London, United Kingdom; Sun Yat-sen University, China; Mohamed bin Zayed University of Artiﬁcial Intelligence, United Arab Emirates; Hangzhou Innovation Center, Zhejiang University, China; College of Computer Science and Technology, Zhejiang University, China; AZFT Knowledge Engine Lab, China
Conference: nips 2021 (main track)
Keywords: meta-learning;non-stationary task distribution;dynamic Gaussian mixture model;structural variational inference
Decision: Poster
Title: MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Authors: Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
Affiliations: ; College of William and Mary; Northeastern University; University of Southern California; Midea Group; Michigan State University
Conference: nips 2021 (main track)
Keywords: dynamic sparse training;memory-economic training;edge device training;mobile training acceleration
Decision: Spotlight
Title: NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Authors: Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Affiliations: Shandong University, Qingdao, China; Nanyang Technological University, Singapore; Singapore Institute of Manufacturing Technology, Singapore
Conference: nips 2021 (main track)
Keywords: Deep Learning;Vehicle Routing Problems
Decision: Poster
Title: Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning
Authors: Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu
Affiliations: Pazhou Lab, Guangzhou 510330, China; National Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210023, China
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning
Decision: Poster
Title: Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
Authors: Yan Sun, Wenjun Xiong, Faming Liang
Affiliations: Guangxi Normal University & Purdue University, West Lafayette, IN 47906; Purdue University, West Lafayette, IN 47906
Conference: nips 2021 (main track)
Keywords: Asymptotic Normality;Posterior Consistency;Prior Annealing;Structure Selection;Uncertainty Quantification
Decision: Poster
Title: Adversarially robust learning for security-constrained optimal power flow
Authors: Priya Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry Pileggi, J. Zico Kolter
Affiliations: Carnegie Mellon University, Pittsburgh, PA, USA
Conference: nips 2021 (main track)
Keywords: security-constrained optimal power flow;adversarial robustness;implicit layers;bi-level optimization
Decision: Poster
Title: Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
Authors: ZHENHUAN YANG, Yunwen Lei, Puyu Wang, Tianbao Yang, Yiming Ying
Affiliations: University of Iowa City, IA; University at Albany, SUNY, Albany, NY; University of Birmingham, Birmingham; City University of Hong Kong, Hong Kong
Conference: nips 2021 (main track)
Keywords: Pairwise Learning;Online (Stochastic) Gradient Descent;Stability and Generalization;Differential Privacy
Decision: Poster
Title: MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Authors: Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou
Affiliations: Ant Group
Conference: nips 2021 (main track)
Keywords: Macroscopic time series forecasting;Clustering;Mixture model;Neural networks
Decision: Poster
Title: Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Authors: Gal Dalal, Assaf Hallak, Steven Dalton, iuri frosio, Shie Mannor, Gal Chechik
Affiliations: NVIDIA Research
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Tree Search;Off-policy;BFS
Decision: Poster
Title: Robust and Decomposable Average Precision for Image Retrieval
Authors: Elias Ramzi, Nicolas THOME, Clément Rambour, Nicolas Audebert, Xavier Bitot
Affiliations: Coexya, Paris, France; CEDRIC, Conservatoire National des Arts et Métiers, Paris, France
Conference: nips 2021 (main track)
Keywords: Image Retrieval;Deep Learning;Average Precision;Ranking;Differentiability;Decomposability
Decision: Poster
Title: An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives
Authors: Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang
Affiliations: Department of Computer Science, University of Iowa, Iowa City, IA 52242; Machine Intelligence Technology, Alibaba Group
Conference: nips 2021 (main track)
Keywords: Non-convex Stochastic Optimization;Distirbutionally Robust Learning
Decision: Poster
Title: Sifting through the noise: Universal first-order methods for stochastic variational inequalities
Authors: Kimon Antonakopoulos, Thomas Pethick, Ali Kavis, Panayotis Mertikopoulos, Volkan Cevher
Affiliations: École Polytechnique Fédérale de Lausanne (EPFL); Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG 38000 Grenoble, France & Criteo AI Lab; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG 38000 Grenoble, France
Conference: nips 2021 (main track)
Keywords: monotone variational inequalities;stochastic variational inequalities;adaptive methods;improved rates
Decision: Poster
Title: Identifiability in inverse reinforcement learning
Authors: Haoyang Cao, Samuel Cohen, Lukasz Szpruch
Affiliations: School of Mathematics, University of Edinburgh and Alan Turing Institute; Alan Turing Institute; Mathematical Institute, University of Oxford and Alan Turing Institute
Conference: nips 2021 (main track)
Keywords: Inverse reinforcement learning;identifiability;entropy regularization;optimal control;Markov decision problem
Decision: Poster
Title: MDP Playground: A Design and Debug Testbed for Reinforcement Learning
Affiliations: University of Freiburg; University of Freiburg & Bosch Center for Artiﬁcial Intelligence
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Reinforcement learning;Core issues;Efficiency;Reproducibility;Dimensions of hardness;OpenAI Gym;Benchmarks
Decision: Reject
Title: Associative Memories via Predictive Coding
Authors: Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Affiliations: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, China; MRC Brain Network Dynamics Unit, University of Oxford, UK; Department of Computer Science, University of Oxford, UK
Conference: nips 2021 (main track)
Keywords: Deep Learning;Associative Memory;Cognitive Science
Decision: Poster
Title: CCVS: Context-aware Controllable Video Synthesis
Authors: Guillaume Le Moing, Jean Ponce, Cordelia Schmid
Affiliations: Inria and Department of Computer Science, ENS, CNRS, PSL Research University; Center for Data Science, New York University; Inria and Department of Computer Science, ENS, CNRS, PSL Research University
Conference: nips 2021 (main track)
Keywords: Video Synthesis;Multimodal Generative Modeling;Vision Transformers;Vector-Quantized Generative Adversarial Networks
Decision: Poster
Title: CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Authors: Yusuke Tashiro, Jiaming Song, Yang Song, Stefano Ermon
Affiliations: Department of Computer Science, Stanford University, Stanford, CA, USA; Department of Computer Science, Stanford University, Stanford, CA, USA; Mitsubishi UFJ Trust Investment Technology Institute, Tokyo, Japan; Japan Digital Design, Tokyo, Japan
Conference: nips 2021 (main track)
Keywords: time series imputation;generative modeling;deep learning;score-based diffusion models
Decision: Poster
Title: TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
Authors: YU LI, Min LI, Qiuxia LAI, Yannan Liu, Qiang Xu
Affiliations: Wuheng Lab, ByteDance; CURE Lab, The Chinese University of Hong Kong
Conference: nips 2021 (main track)
Keywords: Deep Neural Networks;Debugging;Testing;Graph Neural Network;Test input prioritization
Decision: Poster
Title: Natural continual learning: success is a journey, not (just) a destination
Authors: Ta-Chu Kao, Kristopher Jensen, Gido van de Ven, Alberto Bernacchia, Guillaume Hennequin
Affiliations: Department of Engineering, University of Cambridge; Department of Engineering, University of Cambridge; Center for Neuroscience and Artiﬁcial Intelligence, Baylor College of Medicine; MediaTek Research, Cambridge
Conference: nips 2021 (main track)
Keywords: continual learning;recurrent neural networks;deep learning;neuroscience;Bayesian inference;trust region optimization;neural dynamics
Decision: Poster
Title: Doubly Robust Thompson Sampling with Linear Payoffs
Authors: Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik
Affiliations: Department of Statistics, Seoul National University, Shepherd23 Inc.; Department of Industrial Engineering & Artiﬁcial Intelligence Graduate School, UNIST; Department of Statistics, Seoul National University
Conference: nips 2021 (main track)
Keywords: Linear contextual bandits;Thompson Sampling;Using contexts of all arms;An improved regret bound
Decision: Spotlight
Title: A Note on Sparse Generalized Eigenvalue Problem
Authors: Yunfeng Cai, Guanhua Fang, Ping Li
Affiliations: Cognitive Computing Lab, Baidu Research, No. 10 Xibeiwang East Road, Beijing 100193, China; 10900 NE 8th St. Bellevue, Washington 98004, USA
Conference: nips 2021 (main track)
Keywords: sparse generalized eigenvalue problem;perturbation;penalization;ADMM
Decision: Poster
Title: Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
Authors: Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
Conference: nips 2021 (main track)
Keywords: Lottery ticket hypothesis
Decision: Poster
Title: A generative nonparametric Bayesian model for whole genomes
Authors: Alan N. Amin, Eli N. Weinstein, Debora S. Marks
Affiliations: Department of Systems Biology, Harvard Medical School, Program in Biophysics, Harvard University; Department of Systems Biology, Harvard Medical School, Broad Institute of Harvard and MIT; Program in Systems, Synthetic and Quantitative Biology, Department of Systems Biology, Harvard Medical School
Conference: nips 2021 (main track)
Keywords: Bayesian nonparametrics;genomics;hypothesis testing
Decision: Poster
Title: A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
Authors: Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer Ullman, Josh Tenenbaum, Charles Sutton
Affiliations: Harvard University; University of Edinburgh & Google AI; MIT-IBM Watson AI Lab; Massachusetts Institute of Technology; University of Edinburgh
Conference: nips 2021 (main track)
Keywords: intuitive physics;physics learning;Bayesian inference;symbolic regression;data efficiency
Decision: Poster
Title: Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
Authors: Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang
Affiliations: University of Texas at Austin; Microsoft Corporation; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Data-Efficient GAN Training;The Lottery Tickets Hypothesis
Decision: Poster
Title: Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa
Affiliations: Council of Scientific & Industrial Research, NGEI, Scientia Campus, Pretoria, South Africa; Google Research, South Africa; The Distributed AI Research Institute, Palo Alto, California, USA; School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: satellite imagery;datasets;segmentation
Decision: Poster
Title: Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning
Authors: Sheng Zhang, Zhe Zhang, Siva Theja Maguluri
Affiliations: The H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology
Conference: nips 2021 (main track)
Keywords: Finite Sample Analysis;Average-Reward Reinforcement Learning;TD Learning with Linear function Approximation;Q-Learning
Decision: Poster
Title: Dynamic Environments with Deformable Objects
Authors: Rika Antonova, Peiyang Shi, Hang Yin, Zehang Weng, Danica Kragic
Affiliations: Stanford University, CA, USA; KTH, Stockholm, Sweden
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Simulation with Deformable Objects;Reinforcement Learning Environments
Decision: Poster
Title: Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
Authors: Ali Taghibakhshi, Scott MacLachlan, Luke Olson, Matthew West
Affiliations: Mathematics and Statistics, Memorial University of Newfoundland and Labrador, St. John’s, NL, Canada; Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Conference: nips 2021 (main track)
Keywords: Algebraic Multigrid;Reinforcement Learning;Graph Partitioning
Decision: Poster
Title: BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Authors: Mingguo He, Zhewei Wei, zengfeng Huang, Hongteng Xu
Affiliations: Renmin University of China; Fudan University
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Bernstein Polynomial Approximation;Arbitrary Spectral Filters
Decision: Poster
Title: Meta-learning to Improve Pre-training
Authors: Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud
Affiliations: Google Research & University of Toronto; Massachusetts Institute of Technology; University of Toronto; Google Research
Conference: nips 2021 (main track)
Keywords: metalearning;hyperparameter optimization;pre-training
Decision: Poster
Title: Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models
Authors: Yi Sui, Ga Wu, Scott Sanner
Affiliations: Borealis AI; University of Toronto
Conference: nips 2021 (main track)
Keywords: Model Explanation;Sample-based Explanation;Representer Point Selection;Local Jacobian Taylor expansion;Deep Neural Network;Ensemble Models
Decision: Poster
Title: Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Authors: Alexander Camuto, George Deligiannidis, Murat Erdogdu, Mert Gurbuzbalaban, Umut Simsekli, Lingjiong Zhu
Affiliations: Florida State University; INRIA & École Normale Supérieure - PSL Research University; University of Oxford & Alan Turing Institute; University of Toronto & Vector Institute; Rutgers Business School
Conference: nips 2021 (main track)
Keywords: generalization;stochastic gradient descent;deep learning;fractals
Decision: Spotlight
Title: Bridging the Imitation Gap by Adaptive Insubordination
Authors: Luca Weihs, Unnat Jain, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alex Schwing
Affiliations: University of Illinois at Urbana-Champaign; Allen Institute for AI
Conference: nips 2021 (main track)
Keywords: Imitation Learning;Reinforcement Learning;Actor-Critic;POMDPs;Privileged Experts;Visual Navigation
Decision: Poster
Title: An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
Authors: Yuanhao Wang, Ruosong Wang, Sham Kakade
Affiliations: University of Washington and Microsoft Research; Princeton University; Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Linear Function Approximation;Lower Bound
Decision: Oral
Title: EDGE: Explaining Deep Reinforcement Learning Policies
Authors: Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing
Affiliations: Georgia Institute of Technology; The Pennsylvania State University; Northwestern University, The Pennsylvania State University
Conference: nips 2021 (main track)
Keywords: Explainable AI;Deep reinforcement learing;Explainable Deep reinforcement learing;Policy debugging
Decision: Poster
Title: Towards Sharper Generalization Bounds for Structured Prediction
Authors: Shaojie Li, Yong Liu
Affiliations: Gaoling School of Artiﬁcial Intelligence, Renmin University of China, Beijing, China; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China
Conference: nips 2021 (main track)
Keywords: Generalization Bound;Structured Prediction;Learning Theory
Decision: Poster
Title: Multimodal Few-Shot Learning with Frozen Language Models
Authors: Maria Tsimpoukelli, Jacob L Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, Felix Hill
Affiliations: DeepMind, University College London; DeepMind
Conference: nips 2021 (main track)
Keywords: Language Modeling;Multimodal;Few-shot Learning
Decision: Poster
Title: Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Authors: Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Donglai Wei
Affiliations: Shenzhen International Graduate School, Tsinghua University; Shenzhen Institute of Future Media Technology; ETH Zürich; Boston College; Harvard University
Conference: nips 2021 (main track)
Keywords: Applications;Computer Vision;Low-level Vision;Computational Photography;Image Restoration;Real Image Denoising;Realistic Noisy Image Generation;Real Noise Removal
Decision: Poster
Title: Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
Authors: Minshuo Chen, Yan Li, Ethan Wang, Zhuoran Yang, Zhaoran Wang, Tuo Zhao
Affiliations: Northwestern University; University of California, Berkeley; Georgia Tech
Conference: nips 2021 (main track)
Keywords: off-line multi-agent RL;mean-field approximation;pessimistic value iteration;sub-optimality bound
Decision: Poster
Title: Fast and Memory Efficient Differentially Private-SGD via JL Projections
Authors: Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat
Affiliations: University of Washington; Twitter; Stanford University; Microsoft Research; University of Pennsylvania
Conference: nips 2021 (main track)
Keywords: Differential Privacy;Deep Learning;JL Projections;Per-sample gradients
Decision: Poster
Title: Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
Authors: Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
Affiliations: Department of Population Health Sciences, Weill Cornell Medicine, USA; Institute for Artiﬁcial Intelligence, Tsinghua University (THUAI), State Key Lab of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology (BNRist), Department of Automation, Tsinghua University, Beijing, P.R.China; Alibaba Group, China
Conference: nips 2021 (main track)
Keywords: federated learning;fairness;performance inconsistency
Decision: Poster
Title: FACMAC: Factored Multi-Agent Centralised Policy Gradients
Authors: Bei Peng, Tabish Rashid, Christian Schroeder de Witt, Pierre-Alexandre Kamienny, Philip Torr, Wendelin Boehmer, Shimon Whiteson
Affiliations: Facebook AI Research; University of Liverpool; University of Oxford; Delft University of Technology
Conference: nips 2021 (main track)
Keywords: multi-agent reinforcement learning;multi-agent policy gradients
Decision: Poster
Title: Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
Authors: Amrutha Saseendran, Kathrin Skubch, Stefan Falkner, Margret Keuper
Affiliations: University of Siegen, Max Planck Institute for Informatics, Saarland Informatics Campus; Bosch Center for Artiﬁcial Intelligence
Conference: nips 2021 (main track)
Keywords: Generative Model;Variational Autoencoder;Gaussian mixture model;Regularization
Decision: Poster
Title: ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Authors: Guocheng Qian, Hasan Hammoud, Guohao Li, Ali Thabet, Bernard Ghanem
Affiliations: King Abdullah University of Science and Technology (KAUST)
Conference: nips 2021 (main track)
Keywords: point cloud;3D;neural network;efficiency
Decision: Spotlight
Title: Structured Reordering for Modeling Latent Alignments in Sequence Transduction
Authors: bailin wang, Mirella Lapata, Ivan Titov
Affiliations: University of Edinburgh, University of Amsterdam, Innopolis University; University of Edinburgh
Conference: nips 2021 (main track)
Keywords: language understanding;sequence models;latent variable models;compositional generalization;systematic generalization
Decision: Poster
Title: Unsupervised Object-Level Representation Learning from Scene Images
Authors: Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy
Affiliations: Nanyang Technological University; The Chinese University of Hong Kong
Conference: nips 2021 (main track)
Keywords: unsupervised learning;self-supervised learning;representation learning
Decision: Poster
Title: From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Authors: Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S Yu
Affiliations: Department of Computer Science, University of Illinois at Chicago; AWS Shanghai AI Lab; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: Graph Neural Network;Self-supervised Learning;Canonical Correlation Analysis
Decision: Poster
Title: Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Authors: Amrith Setlur, Oscar Li, Virginia Smith
Affiliations: Machine Learning Department, School of Computer Science, Carnegie Mellon University; Language Technologies Institute, School of Computer Science, Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: meta-learning;meta-learning evaluation;few-shot learning;out of distribution
Decision: Poster
Title: Slice Sampling Reparameterization Gradients
Authors: David Zoltowski, Diana Cai, Ryan Adams
Affiliations: Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540; Department of Computer Science, Princeton University, Princeton, NJ 08540
Conference: nips 2021 (main track)
Keywords: Monte Carlo gradient estimation;slice sampling;energy-based models;variational inference
Decision: Spotlight
Title: Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
Authors: Byung-Hoon Kim, Jong Chul Ye, Jae-Jin Kim
Affiliations: Department of Bio/Brain Engineering, Kim Jaechul Graduate School of AI, KAIST; Department of Psychiatry, Institute of Behavioral Sciences in Medicine, College of Medicine, Yonsei University
Conference: nips 2021 (main track)
Keywords: neuroimaging;connectome;fmri;graph neural network;attention;explainability
Decision: Poster