hunoutl/paperlists huggingface dataset:
Title: Learning to Compose Visual Relations
Authors: Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba
Affiliations: MIT CSAIL; MIT CSAIL, BCS, CBMM; University of Michigan
Conference: nips 2021 (main track)
Keywords: Energy-based model;Image editing;Image generation;Compositionality
Decision: Spotlight
Title: Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
Authors: Chen Ma, Xiangyu Guo, Li Chen, Jun-Hai Yong, Yisen Wang
Affiliations: Key Lab. of Machine Perception, School of Artiﬁcial Intelligence, Peking University, Beijing, China; Department of Computer Science and Engineering, University at Buffalo, Buffalo NY, USA; School of Software, BNRist, Tsinghua University, Beijing, China
Conference: nips 2021 (main track)
Keywords: black-box adversarial attack;hard-label attack;geometric-based attack;tangent point;tangent line;HopSkipJumpAttack
Decision: Poster
Title: A Continuous Mapping For Augmentation Design
Authors: Keyu Tian, Chen Lin, Ser Nam Lim, Wanli Ouyang, Puneet Dokania, Philip Torr
Affiliations: University of Oxford; Facebook AI; Software College, Beihang University; University of Sydney; University of Oxford & Five AI Ltd.
Conference: nips 2021 (main track)
Keywords: Data Augmentation;Auto Augmentation
Decision: Poster
Title: Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation
Authors: Yuchao Qin, Fergus Imrie, Alihan Hüyük, Daniel Jarrett, alexander gimson, Mihaela van der Schaar
Affiliations: University of California, Los Angeles; University of Cambridge; University of Cambridge, The Alan Turing Institute, University of California, Los Angeles
Conference: nips 2021 (main track)
Keywords: Healthcare;Understanding human decisions;Inverse decision-making;Augmenting clinical decision support
Decision: Poster
Title: Laplace Redux - Effortless Bayesian Deep Learning
Authors: Erik Daxberger, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer, Philipp Hennig
Affiliations: Department of Computer Science, ETH Zurich; MPI for Intelligent Systems, Tübingen; University of Tübingen; Max Planck ETH Center for Learning Systems; University of Cambridge
Conference: nips 2021 (main track)
Keywords: Bayesian Deep Learning;Laplace Approximation;Uncertainty Quantification;Software Library
Decision: Poster
Title: Learning to Generate Visual Questions with Noisy Supervision
Authors: Shen Kai, Lingfei Wu, Siliang Tang, Yueting Zhuang, zhen he, Zhuoye Ding, Yun Xiao, Bo Long
Conference: nips 2021 (main track)
Keywords: Noisy Supervision;Generative Adversarial Networks;Visual Question Generation
Decision: Poster
Title: Learning Treatment Effects in Panels with General Intervention Patterns
Authors: Vivek Farias, Andrew Li, Tianyi Peng
Affiliations: Sloan School of Management, MIT, Cambridge, MA 02139; Department of Aeronautics and Astronautics, MIT, Cambridge, MA 02139; Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2021 (main track)
Keywords: Causal Inference;Treatment Effect;Low-Rank Matrix Estimation;Panel Data;Synthetic Control
Decision: Oral
Title: Adversarial Teacher-Student Representation Learning for Domain Generalization
Authors: Fu-En Yang, Yuan-Chia Cheng, Zu-Yun Shiau, Frank Wang
Affiliations: Graduate Institute of Communication Engineering, National Taiwan University, Taiwan; ASUS Intelligent Cloud Services, Taiwan; Graduate Institute of Communication Engineering, National Taiwan University, Taiwan
Conference: nips 2021 (main track)
Keywords: Domain Generalization;Representation Learning;Adversarial Learning
Decision: Spotlight
Title: DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
Authors: Wenzheng Chen, Joey Litalien, Jun Gao, Zian Wang, Clement Fuji Tsang, Sameh Khamis, Or Litany, Sanja Fidler
Affiliations: McGill University; NVIDIA; NVIDIA, University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: differentiable rendering;inverse graphics;material estimation;lighting estimation
Decision: Poster
Title: On the Cryptographic Hardness of Learning Single Periodic Neurons
Authors: Min Jae Song, Ilias Zadik, Joan Bruna
Affiliations: Courant Institute, Center for Data Science, New York University; Courant Institute, New York University; Department of Mathematics, Massachusetts Institute of Technology
Conference: nips 2021 (main track)
Keywords: Learning with Errors;computational learning theory;lattice algorithms;cryptography;computational-to-statistical gap
Decision: Poster
Title: Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Authors: Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
Affiliations: Institute for Artiﬁcial Intelligence, Peking Unviersity; School of Mathematical Sciences, Peking University; Center of Data Science, Peking University; Key Laboratory of Machine Perception, MOE, School of EECS, Peking University
Conference: nips 2021 (main track)
Keywords: distributionally robust optimization;non-convex optimization;first order methods
Decision: Poster
Title: Convex-Concave Min-Max Stackelberg Games
Authors: Denizalp Goktas, Amy Greenwald
Affiliations: Department of Computer Science, Brown University, Providence, RI 02912
Conference: nips 2021 (main track)
Keywords: min-max;first order methods;Stackelberg games;zero-sum games;Fisher market;equilibrium;competitive equilibrium
Decision: Poster
Title: BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Authors: Chris Cundy, Aditya Grover, Stefano Ermon
Affiliations: Facebook AI Research, University of California, Los Angeles; Department of Computer Science, Stanford University
Conference: nips 2021 (main track)
Keywords: Bayesian;DAG;Variational Inference;Causal Discovery
Decision: Poster
Title: Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Authors: Ke Sun, Yafei Wang, Yi Liu, yingnan zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong
Affiliations: Huawei Technologies Ltd.; University of Alberta, Edmonton, Canada; Harbin Institute of Technology, Harbin, China
Conference: nips 2021 (main track)
Keywords: Anderson Acceleration;Reinforcement Learning
Decision: Poster
Title: Cardinality-Regularized Hawkes-Granger Model
Authors: Tsuyoshi Ide, Georgios Kollias, Dzung Phan, Naoki Abe
Affiliations: IBM Research, T. J. Watson Research Center
Conference: nips 2021 (main track)
Keywords: point process;Hawkes process;minorization-maximization;cardinality;Granger causality;temporal events
Decision: Poster
Title: Dynamic Grained Encoder for Vision Transformers
Authors: Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng
Affiliations: Megvii Inc. (Face++); College of Artificial Intelligence, Xi'an Jiaotong University; ShanghaiTech University
Conference: nips 2021 (main track)
Keywords: Computer Vision;Vision Transformer;Dynamic Network
Decision: Poster
Title: Recovering Latent Causal Factor for Generalization to Distributional Shifts
Authors: Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu
Affiliations: Peking University, Beijing, 100871; Microsoft Research Asia, Beijing, 100080
Conference: nips 2021 (main track)
Keywords: distributional shifts;domain generalization;invariance;causal factor;latent causal invariant model
Decision: Poster
Title: The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
Authors: Runtao Liu, Zhirong Wu, Stella Yu, Stephen Lin
Affiliations: Microsoft Research Asia; UC Berkeley / ICSI; Microsoft Research Asia / John Hopkins University
Conference: nips 2021 (main track)
Keywords: Self-supervised learning;zero-shot learning;video object segmentation;image segmentation;saliency estimation;video representation learning
Decision: Poster
Title: SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
Authors: Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Russ Salakhutdinov
Affiliations: Facebook AI Research; Carnegie Mellon University; UIUC; UC Berkeley
Conference: nips 2021 (main track)
Keywords: Embodied Active Learning;Embodied AI;Exploration;Navigation;Computer Vision;Self-Supervised Learning
Decision: Poster
Title: Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
Authors: ZAIXI ZHANG, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee
Affiliations: Tencent America; Anhui Province Key Lab of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Self-supervised Learning;Molecular Property Prediction
Decision: Poster
Title: Challenging America: Digitized Newspapers as a Source of Machine Learning Challenges
Affiliations: Faculty of Modern Languages and Literatures, Adam Mickiewicz University; Faculty of Math. and Computer Science, Adam Mickiewicz University, Applica.ai; Faculty of Math. and Computer Science, Adam Mickiewicz University
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Machine Learning Challenges;Language Modeling;Temporal Classification;Chronicling America
Decision: Reject
Title: FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
Affiliations: Department of Informatics, King’s College London; Department of Computer Science and Technology, University of Cambridge; Amazon Alexa; Facebook
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: fact extraction and verification;structured information;unstructured and structured information;fact checking;natural language processing;information retrieval
Decision: Poster
Title: Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Authors: Andrew Jesson, Panagiotis Tigas, Joost van Amersfoort, Andreas Kirsch, Uri Shalit, Yarin Gal
Affiliations: Machine Learning and Causal Inference in Healthcare Lab, Technion; OATML, University of Oxford
Conference: nips 2021 (main track)
Keywords: Causal Inference;Active Learning;Bayesian Deep Learning
Decision: Poster
Title: Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems
Authors: Menoua Keshishian, Samuel Norman-Haignere, Nima Mesgarani
Affiliations: Department of Electrical Engineering, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027
Conference: nips 2021 (main track)
Keywords: temporal integration;receptive field;speech recognition;timescale;deep learning
Decision: Poster
Title: Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
Authors: Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou
Affiliations: JD.COM Silicon Valley Research Center; Kent State University; Auburn University; Baidu Research; Baidu Research, University of Oregon
Conference: nips 2021 (main track)
Keywords: Lottery Ticket Hypothesis;neural network pruning;dynamical systems;inertial manifold;theoretical evidence
Decision: Poster
Title: Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Authors: Aritra Mitra, Rayana Jaafar, George J. Pappas, Hamed Hassani
Affiliations: Department of Electrical and Systems Engineering
Conference: nips 2021 (main track)
Keywords: Federated Learning;Distributed Optimization;Compression;Heterogeneity;Linear Convergence
Decision: Poster
Title: Information-constrained optimization: can adaptive processing of gradients help?
Authors: Jayadev Acharya, Clement Canonne, Prathamesh Mayekar, Himanshu Tyagi
Affiliations: Indian Institute of Science; Cornell University; University of Sydney
Conference: nips 2021 (main track)
Keywords: optimization;convex optimization;adaptivity;information constraints;local privacy;communication constraints;lower bounds;random coordinate descent
Decision: Poster
Title: Gradient Starvation: A Learning Proclivity in Neural Networks
Authors: Mohammad Pezeshki, Oumar Kaba, Yoshua Bengio, Aaron Courville, Doina Precup, Guillaume Lajoie
Affiliations: Mila, Université de Montréal; McGill University, Google DeepMind; Mila, McGill University
Conference: nips 2021 (main track)
Keywords: generalization;neural networks;dynamics;OOD
Decision: Poster
Title: Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Authors: Thomas FEL, Remi Cadene, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre
Affiliations: Sorbonne Université, CNRS, France; Artiﬁcial and Natural Intelligence Toulouse Institute, Université de Toulouse, France; Carney Institute for Brain Science, Brown University, USA; Institut de Recherche Technologique Saint-Exupery, France; Valeo.ai
Conference: nips 2021 (main track)
Keywords: deep learning;machine learning;explainability;interpretability;computer vision;nlp;black box;sobol
Decision: Poster
Title: The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Authors: Kevin Xia, Kai-Zhan Lee, Yoshua Bengio, Elias Bareinboim
Affiliations: Bloomberg L.P., Columbia University; MILA, Université de Montréal; CausalAI Lab, Columbia University
Conference: nips 2021 (main track)
Keywords: causal inference;deep learning;neural models;causal identification;causal estimation
Decision: Poster
Title: Dense Keypoints via Multiview Supervision
Authors: Zhixuan Yu, Haozheng Yu, Long Sha, Sujoy Ganguly, Hyun Soo Park
Affiliations: Unity; University of Minnesota; TuSimple
Conference: nips 2021 (main track)
Keywords: Dense keypoint estimation;Multiview supervision;Dense epipolar geometry;Semi-supervised learning
Decision: Spotlight
Title: Searching Parameterized AP Loss for Object Detection
Authors: Tao Chenxin, Zizhang Li, Xizhou Zhu, Gao Huang, Yong Liu, jifeng dai
Affiliations: SenseTime Research; Zhejiang University; SenseTime Research, Shanghai Jiao Tong University; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Loss Function Search;Metric Surrogate;Object Detection
Decision: Poster
Title: Predicting Molecular Conformation via Dynamic Graph Score Matching
Authors: Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
Affiliations: Peking University; Mila - Québec AI Institute, Université de Montréal; Mila - Québec AI Institute, HEC Montréal, CIFAR AI Research Chair
Conference: nips 2021 (main track)
Keywords: Molecular conformation generation;score matching;generative model
Decision: Poster
Title: Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Authors: Chunjong Park, Anas Awadalla, Tadayoshi Kohno, Shwetak Patel
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: nips 2021 (main track)
Keywords: out-of-distribution;dataset shift;trustworthy AI;health
Decision: Poster
Title: Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
Authors: Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
Affiliations: National Yang Ming Chiao Tung University; IBM Research
Conference: nips 2021 (main track)
Keywords: Generalization under weight perturbation;Robustness;Neural Network;Weight Perturbation;Rademacher complexity
Decision: Poster
Title: Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
Authors: Raul Astudillo, Daniel Jiang, Maximilian Balandat, Eytan Bakshy, Peter Frazier
Affiliations: Cornell University; Facebook
Conference: nips 2021 (main track)
Keywords: Bayesian;optimization;cost;non-myopic;budgeted
Decision: Poster
Title: Navigating to the Best Policy in Markov Decision Processes
Authors: Aymen Al Marjani, Aurélien Garivier, Alexandre Proutiere
Affiliations: UMPA, CNRS, INRIA, ENS Lyon, Lyon, France; UMPA, ENS Lyon, Lyon, France; EECS and Digital Futures, KTH Royal Institute of Technology, Sweden
Conference: nips 2021 (main track)
Keywords: Markov Decision Processes;Sample Complexity;Pure Exploration;Instance-dependent bounds.
Decision: Poster
Title: Graph Neural Networks with Adaptive Residual
Authors: Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang
Affiliations: Michigan State University, East Lansing, MI, USA; New Jersey Institute of Technology, Newark, NJ, USA; TAL Education Group, Beijing, China
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Adaptive Residual;Abnormal Features
Decision: Poster
Title: Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Authors: Miklos Racz, Anirudh Sridhar
Affiliations: Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544; Department of ORFE, Princeton University, Princeton, NJ 08544
Conference: nips 2021 (main track)
Keywords: Stochastic block model;community recovery;graph matching;correlated random graphs;information-theoretic limits
Decision: Spotlight
Title: Meta Learning Backpropagation And Improving It
Authors: Louis Kirsch, Jürgen Schmidhuber
Affiliations: The Swiss AI Lab IDSIA, University of Lugano (USI) & SUPSI, Lugano, Switzerland; King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia; The Swiss AI Lab IDSIA, University of Lugano (USI) & SUPSI, Lugano, Switzerland
Conference: nips 2021 (main track)
Keywords: meta-learning;general-purpose meta-learning;learned learning rules;fast weights;distributed memory;backpropagation;gradient descent;modularity;self-organization
Decision: Poster
Title: Permuton-induced Chinese Restaurant Process
Authors: Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, naonori ueda
Affiliations: NTT Communication Science Laboratories, NTT Corporation
Conference: nips 2021 (main track)
Keywords: Bayesian nonparametrics;Chinese restaurant process;Relational model
Decision: Poster
Title: Associating Objects with Transformers for Video Object Segmentation
Authors: Zongxin Yang, Yunchao Wei, Yi Yang
Affiliations: CCAI, College of Computer Science and Technology, Zhejiang University; CCAI, College of Computer Science and Technology, Zhejiang University; Baidu Research; Institute of Information Science, Beijing Jiaotong University; Beijing Key Laboratory of Advanced Information Science and Network
Conference: nips 2021 (main track)
Keywords: Video Object Segmentation;Metric Learning;Instance Segmentation
Decision: Poster
Title: Artistic Style Transfer with Internal-external Learning and Contrastive Learning
Authors: Haibo Chen, lei zhao, Zhizhong Wang, Huiming Zhang, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu
Affiliations: College of Computer Science and Technology, Zhejiang University
Conference: nips 2021 (main track)
Keywords: Artistic style transfer;Internal-external learning;Contrastive learning;Quality;Stability
Decision: Poster
Title: Efficiently Identifying Task Groupings for Multi-Task Learning
Authors: Chris Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn
Affiliations: Google Research, Brain Team; Google Research, Brain Team; Stanford University
Conference: nips 2021 (main track)
Keywords: multi-task learning;task groupings;which tasks should train together
Decision: Spotlight
Title: Test-time Collective Prediction
Authors: Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael Jordan
Affiliations: MPI for Intelligent Systems, Tübingen; University of California, Berkeley
Conference: nips 2021 (main track)
Keywords: degroot;consenesus finding;combining expert opinion;opinion pool;adaptive model weighting;data heterogeneity;social sciences;federated learning;ensemble
Decision: Poster
Title: Rethinking Graph Transformers with Spectral Attention
Authors: Devin Kreuzer, Dominique Beaini, Will Hamilton, Vincent Létourneau, Prudencio Tossou
Affiliations: University of Ottawa, Ottawa, Canada; Valence Discovery, Montreal, Canada; McGill University, Mila, Montreal, Canada
Conference: nips 2021 (main track)
Keywords: Graph neural networks;transformers;spectral theory;molecules;deep learning;graph theory
Decision: Poster
Title: Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
Authors: Pranav Subramani, Nicholas Vadivelu, Gautam Kamath
Affiliations: Cheriton School of Computer Science, University of Waterloo
Conference: nips 2021 (main track)
Keywords: differential privacy;DPSGD;JAX;vectorization;just-in-time compilation
Decision: Poster
Title: Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Authors: Jianhong Wang, Wangkun Xu, Yunjie Gu, Wenbin Song, Tim C Green
Affiliations: Shanghaitech University; University of Bath; Imperial College London
Conference: nips 2021 (main track)
Keywords: multi agent reinforcement learning;power distribution network;active voltage control
Decision: Poster
Title: VAST: Value Function Factorization with Variable Agent Sub-Teams
Authors: Thomy Phan, Fabian Ritz, Lenz Belzner, Philipp Altmann, Thomas Gabor, Claudia Linnhoff-Popien
Affiliations: LMU Munich; Technische Hochschule Ingolstadt
Conference: nips 2021 (main track)
Keywords: Multi-Agent Learning;Reinforcement Learning;Value Function Factorization
Decision: Poster
Title: Neural optimal feedback control with local learning rules
Authors: Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan Sengupta, Dmitri Chklovskii
Affiliations: Neuroscience Institute, NYU Medical Center; Center for Computational Mathematics, Flatiron Institute; Center for Computational Neuroscience, Flatiron Institute
Conference: nips 2021 (main track)
Keywords: optimal feedback control;Kalman filter;motor control;neural circuit
Decision: Spotlight
Title: Neural Tangent Kernel Maximum Mean Discrepancy
Authors: Xiuyuan Cheng, Yao Xie
Affiliations: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology; Department of Mathematics, Duke University
Conference: nips 2021 (main track)
Keywords: Maximum Mean Discrepancy (MMD);Neural Tangent Kernel (NTK);two-sample test;kernel methods;change-point detection
Decision: Poster
Title: Dense Unsupervised Learning for Video Segmentation
Authors: Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
Affiliations: Department of Computer Science, TU Darmstadt; Department of Computer Science, TU Darmstadt and hessian.AI
Conference: nips 2021 (main track)
Keywords: unsupervised learning;video object segmentation;representation learning from unlabelled videos
Decision: Poster
Title: VISIOCITY: A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization
Affiliations: Department of Computer Science, University of Texas at Dallas, USA; Department of Computer Engineering, University of Texas at Dallas, USA; Department of Computer Science and Engineering, Indian Institute of Technology Bombay, India
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: video summarization;dataset;benchmark;evaluation
Decision: Reject
Title: UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
Authors: Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang
Affiliations: Tsinghua University; DAMO Academy, Alibaba Group
Conference: nips 2021 (main track)
Keywords: conditional image synthesis;BERT;multi-modal control
Decision: Poster
Title: Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
Authors: Shengjia Zhao, Michael Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon
Affiliations: Stanford University; UC Berkeley
Conference: nips 2021 (main track)
Keywords: Calibration;decision making;uncertainty quantification;indistinguishability
Decision: Poster
Title: Transformer in Transformer
Authors: Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing XU, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab; State Key Lab of Computer Science, ISCAS & UCAS; University of Macau
Conference: nips 2021 (main track)
Keywords: Transformer;computer vision;ImageNet
Decision: Poster