hunoutl/paperlists huggingface dataset:
Title: Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training
Authors: Hongwei Xue, Yupan Huang, Bei Liu, Houwen Peng, Jianlong Fu, Houqiang Li, Jiebo Luo
Affiliations: University of Rochester, Rochester, NY; Microsoft Research, Beijing, China; University of Science and Technology of China, Hefei, China; Sun Yat-sen University, Guangzhou, China
Conference: nips 2021 (main track)
Keywords: vision-language pre-training;Transformer;inter-modality
Decision: Poster
Title: Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
Authors: Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty
Affiliations: Jadavpur University, India; IIT-Bombay, India; IIIT-Delhi, India
Conference: nips 2021 (main track)
Keywords: Transformers;Dynamical systems;Time-evolution;Self-attention
Decision: Spotlight
Title: Adversarial Robustness with Semi-Infinite Constrained Learning
Authors: Alexander Robey, Luiz Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
Affiliations: University of California, Berkeley; University of Pennsylvania
Conference: nips 2021 (main track)
Keywords: Robust learning;adversarial robustness;constrained learning;semi-infinite programming
Decision: Poster
Title: Bellman-consistent Pessimism for Offline Reinforcement Learning
Authors: Tengyang Xie, Ching-An Cheng, Nan Jiang, Paul Mineiro, Alekh Agarwal
Affiliations: UIUC; Microsoft Research; Google Research
Conference: nips 2021 (main track)
Keywords: offline reinforcement learning;Bellman-consistent pessimism;sample complexity bounds;linear MDP;function approximation
Decision: Oral
Title: One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
Authors: Akari Asai, Xinyan Yu, Jungo Kasai, Hanna Hajishirzi
Affiliations: University of Washington; University of Washington, Allen Institute for AI
Conference: nips 2021 (main track)
Keywords: Question answering;Multilingual NLP;Open-domain QA;Cross-lingual Information Retrieval
Decision: Poster
Title: BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Authors: Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh
Affiliations: Facebook AI Research; Cornell University; Cornell University, Facebook AI Research
Conference: nips 2021 (main track)
Keywords: adversarial training;efficient robust neural network training;robustness against common and adversarial corruptions;accelerate robust neural network training
Decision: Poster
Title: LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
Authors: Yoon-Yeong Kim, Kyungwoo Song, JoonHo Jang, Il-chul Moon
Affiliations: Korea Advanced Institute of Science and Technology (KAIST) and Summary.AI; Korea Advanced Institute of Science and Technology (KAIST); University of Seoul
Conference: nips 2021 (main track)
Keywords: active learning;data augmentation;look-ahead acquisition;entropy;mixup
Decision: Poster
Title: Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Authors: Gaspard Beugnot, Julien Mairal, Alessandro Rudi
Affiliations: Inria∗, ´Ecole normale sup ´erieure, CNRS, PSL Research University, 75005 Paris, France; Inria†, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK, 38000 Grenoble, France
Conference: nips 2021 (main track)
Keywords: Kernel methods;learning theory;self concordance;iterated tikhonov;proximal point
Decision: Spotlight
Title: Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution
Affiliations: Inria, LIRMM, Univ Montpellier, CNRS, Montpellier, France; IMAG, Univ Montpellier, CNRS, Montpellier, France; IMAG, Univ Montpellier, CNRS, Montpellier, France, Institut Universitaire de France (IUF); CIRAD, AMAP; LIRMM, AMIS, UPVM, Univ Montpellier, CNRS, Montpellier
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: dataset;ambiguity;top-k;set-valued classification;long tail;plant recognition;image classification
Decision: Poster
Title: Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
Authors: Kefan Dong, Jiaqi Yang, Tengyu Ma
Affiliations: Stanford University; Tsinghua University
Conference: nips 2021 (main track)
Keywords: bandit theory;online learning;reinforcement learning theory;deep reinforcement learning theory;sequential Rademacher complexity
Decision: Poster
Title: Online Learning in Periodic Zero-Sum Games
Authors: Tanner Fiez, Ryann Sim, Stratis Skoulakis, Georgios Piliouras, Lillian Ratliff
Affiliations: SUTD, Singapore; University of Washington, Seattle, Washington
Conference: nips 2021 (main track)
Keywords: game theory;Poincar\'{e} recurrence;dynamical systems;zero-sum games;equilibrium;online learning;regret
Decision: Poster
Title: A Non-commutative Extension of Lee-Seung's Algorithm for Positive Semidefinite Factorizations
Authors: Yong Sheng Soh, Antonios Varvitsiotis
Affiliations: Engineering and Systems Design Pillar, Singapore University of Technology and Design; Department of Mathematics, National University of Singapore; Institute of High Performance Computing
Conference: nips 2021 (main track)
Keywords: PSD factorizations;majorization minimization;Lee-Seung's algorithm;Semidefinite optimization;Lieb's concavity theorem;PSD tensor factorization
Decision: Poster
Title: Label Disentanglement in Partition-based Extreme Multilabel Classification
Authors: Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit Dhillon
Affiliations: Department of Computer Science, UCLA; Amazon Inc. & UT Austin; Amazon Inc.
Conference: nips 2021 (main track)
Keywords: Extreme multilabel classification
Decision: Poster
Title: CATs: Cost Aggregation Transformers for Visual Correspondence
Authors: Seokju Cho, Sunghwan Hong, Sangryul Jeon, Yunsung Lee, Kwanghoon Sohn, Seungryong Kim
Affiliations: Yonsei University; Korea University
Conference: nips 2021 (main track)
Keywords: Semantic correspondence;cost aggregation;Transformers;Visual correspondence;Dense correspondence
Decision: Poster
Title: Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Authors: Xingchen Wan, Henry Kenlay, Robin Ru, Arno Blaas, Michael A Osborne, Xiaowen Dong
Affiliations: Machine Learning Research Group, University of Oxford, Oxford, UK
Conference: nips 2021 (main track)
Keywords: adversarial attack;Bayesian optimisation;graph neural networks
Decision: Poster
Title: Robust Deep Reinforcement Learning through Adversarial Loss
Authors: Tuomas Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
Affiliations: UC San Diego HDSI; MIT EECS; UC San Diego CSE; MIT MechE
Conference: nips 2021 (main track)
Keywords: Reinforcement learning;Adversarial examples;Adversarial Robustness;Certified Robustness
Decision: Poster
Title: Regret Bounds for Gaussian-Process Optimization in Large Domains
Authors: Manuel Wuethrich, Bernhard Schölkopf, Andreas Krause
Affiliations: ETH Zurich, Zurich, Switzerland; MPI for Intelligent Systems, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: Gaussian Process;Bayesian optimization;Multi-armed bandits;regret bounds
Decision: Poster
Title: Practical Near Neighbor Search via Group Testing
Authors: Joshua Engels, Benjamin Coleman, Anshumali Shrivastava
Affiliations: Department of Computer Science, Rice University & ThirdAI Corp., Houston, Texas, USA; Electrical and Computer Engineering, Rice University, Houston, Texas, USA; Department of Computer Science, Rice University, Houston, Texas, USA
Conference: nips 2021 (main track)
Keywords: group testing;locality sensitive hashing;near neighbor search;index
Decision: Spotlight
Title: AutoBalance: Optimized Loss Functions for Imbalanced Data
Authors: Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
Affiliations: University of California, Riverside; University of British Columbia
Conference: nips 2021 (main track)
Keywords: Label imbalance;fairness;bilevel optimization;personalization
Decision: Poster
Title: Distributed Principal Component Analysis with Limited Communication
Authors: Foivos Alimisis, Peter Davies, Bart Vandereycken, Dan Alistarh
Affiliations: IST Austria & Neural Magic, Inc.; Department of Mathematics, University of Geneva; Department of Computer Science, University of Surrey
Conference: nips 2021 (main track)
Keywords: Principal Component Analysis;Leading Eigenvector;Bit Complexity;Riemannian Optimization;Sphere
Decision: Poster
Title: TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
Authors: Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli
Affiliations: Australian National University; Australian National University, Data61, CSIRO; Data61, CSIRO
Conference: nips 2021 (main track)
Keywords: interactive theorem proving;reinforcement learning;HOL4
Decision: Poster
Title: An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
Authors: Agustinus Kristiadi, Matthias Hein, Philipp Hennig
Affiliations: University of Tübingen and MPI for Intelligent Systems, Tübingen; University of Tübingen
Conference: nips 2021 (main track)
Keywords: bayesian deep learning;uncertainty quantification;overconfidence;gaussian processes
Decision: Spotlight
Title: Mixability made efficient: Fast online multiclass logistic regression
Authors: Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
Affiliations: Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble, France; INRIA - Département d’Informatique de l’École Normale Supérieure, PSL Research University, Paris, France
Conference: nips 2021 (main track)
Keywords: Online learning;Logistic regression
Decision: Spotlight
Title: Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Authors: Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
Affiliations: Department of Artiﬁcial Intelligence, Yonsei University; Department of Computer Science, Yonsei University
Conference: nips 2021 (main track)
Keywords: data-free quantization;generative method;boundary supporting samples
Decision: Poster
Title: Node Dependent Local Smoothing for Scalable Graph Learning
Authors: Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin CUI
Affiliations: School of CS, Peking University; Key Lab of High Confidence Software Technologies, Peking University; Institute of Computational Social Science, Peking University (Qingdao), China; School of CS, Peking University; Tencent Inc.
Conference: nips 2021 (main track)
Keywords: Graph Neural Network;Scalability;Smoothness
Decision: Spotlight
Title: Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data
Authors: Amirreza Farnoosh, Sarah Ostadabbas
Affiliations: Augmented Cognition Lab (ACLab), Department of Electrical & Computer Engineering, Northeastern University, Boston, MA 02115
Conference: nips 2021 (main track)
Keywords: Deep generative models;Bayesian dynamical matrix factorization;Variational inference;Cognitive neuroscience;Functional MRI (fMRI)
Decision: Poster
Title: Can multi-label classification networks know what they don’t know?
Authors: Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
Affiliations: Information Networking Institute, Carnegie Mellon University; Department of Computer Sciences, University of Wisconsin-Madison; Department of Computer Science and Eng., University of California, San Diego
Conference: nips 2021 (main track)
Keywords: Out-of-distribution detection;multi-label classification
Decision: Poster
Title: GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
Authors: Longyuan Li, Jian Yao, Li Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang
Affiliations: Gatsby Unit, University College London; Department of Computer Science and Engineering, MoE Key Lab of Artiﬁcial Intelligence, Shanghai Jiao Tong University; Amazon Web Services; Fudan University
Conference: nips 2021 (main track)
Keywords: Trajectory prediction;variational Autoencoder;deep learning;probabilistic
Decision: Poster
Title: Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
Authors: Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
Affiliations: Georgia Institute of Technology; IBM Research NY; The University of Texas at Austin
Conference: nips 2021 (main track)
Keywords: Off-policy multi-step TD-learning;generalized Bellman operator;contraction mapping;finite-sample analysis
Decision: Poster
Title: ROI Maximization in Stochastic Online Decision-Making
Authors: Nicolò Cesa-Bianchi, Tom Cesari, Yishay Mansour, Vianney Perchet
Affiliations: Università degli Studi di Milano & DSRC; Tel Aviv University & Google research; Toulouse School of Economics; CREST, ENSAE & Criteo AI Lab
Conference: nips 2021 (main track)
Keywords: online learning;regret minimization;action elimination;explore-then-commit
Decision: Poster
Title: Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
Authors: Huangjie Zheng, Mingyuan Zhou
Affiliations: Department of Statistics & Data Science, The University of Texas at Austin, Austin, TX 78712; McCombs School of Business, The University of Texas at Austin, Austin, TX 78712
Conference: nips 2021 (main track)
Keywords: Bayesian methods;conditional distribution;generative models;mode-covering;mode-seeking
Decision: Poster
Title: SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
Authors: Alicia Curth, Changhee Lee, Mihaela van der Schaar
Affiliations: University of Cambridge; Chung-Ang University; University of Cambridge, University of California, Los Angeles, The Alan Turing Institute
Conference: nips 2021 (main track)
Keywords: Heterogeneous Treatment Effects;Survival Analysis;Counterfactual Estimation;Causal inference
Decision: Poster
Title: Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Authors: Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin
Affiliations: The Chinese University of Hong Kong, Shenzhen; Institute for Artiﬁcial Intelligence, Peking University; Key Laboratory of Machine Perception (MoE), School of AI, Peking University; Center for Data Science, Academy for Advanced Interdisciplinary Studies, Peking University
Conference: nips 2021 (main track)
Keywords: spiking neural networks;feedback connections;equilibrium state;training method
Decision: Spotlight
Title: Adversarial Reweighting for Partial Domain Adaptation
Authors: Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu
Affiliations: School of Mathematics and Statistics, Xi'an Jiaotong University, P.R. China
Conference: nips 2021 (main track)
Keywords: Partial Domain Adaptation;Adversarial Reweighting;Negative Domain Transfer;Wasserstein
Decision: Poster
Title: Adversarial Training Helps Transfer Learning via Better Representations
Authors: Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Zou
Affiliations: Stanford University, Stanford, CA 94025; Harvard University, Cambridge, MA 02138; Rutgers University, Piscataway, NJ 08854
Conference: nips 2021 (main track)
Keywords: Transfer learning;adversarial training;semi-supervised learning;statistical learning theory
Decision: Poster
Title: Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Authors: Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan Barron, Hendrik PA Lensch
Affiliations: Microsoft Azure AI; University of Tübingen; Google Research
Conference: nips 2021 (main track)
Keywords: Inverse Rendering;Coordinate-based MLP;BRDF Estimation;Illumination Estimation;NeRF;Inverse Graphics
Decision: Poster
Title: Neural Distance Embeddings for Biological Sequences
Authors: Gabriele Corso, Zhitao Ying, Michal Pándy, Petar Veličković, Jure Leskovec, Pietro Liò
Affiliations: Stanford University; University of Cambridge; MIT; DeepMind
Conference: nips 2021 (main track)
Keywords: bioinformatics;sequence similarity;hyperbolic embeddings;low-distortion embeddings;metric learning;manifold learning
Decision: Poster
Title: Learning to Schedule Heuristics in Branch and Bound
Authors: Antonia Chmiela, Elias Khalil, Ambros Gleixner, Andrea Lodi, Sebastian Pokutta
Affiliations: University of Toronto, Canada; Zuse Institute Berlin, Germany; Zuse Institute Berlin, Germany; HTW Berlin, Germany; CERC, Polytechnique Montréal, Canada; Zuse Institute Berlin, Germany; Technische Universität Berlin, Germany
Conference: nips 2021 (main track)
Keywords: integer programming;learning to optimize;data-driven algorithm design;tree search;algorithm configuration
Decision: Poster
Title: Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
Authors: Han Zhong, Jiayi Huang, Lin Yang, Liwei Wang
Affiliations: Center for Data Science, Peking University; Department of Electrical and Computer Engineering, University of California, Los Angeles; Key Laboratory of Machine Perception, MOE, School of EECS, Institute for Artificial Intelligence, Peking University; Center for Data Science, Peking University; Pazhou Lab
Conference: nips 2021 (main track)
Keywords: Linear Bandits;Super heavy-tailed payoffs;Regret Minimization
Decision: Poster
Title: Offline Reinforcement Learning with Reverse Model-based Imagination
Authors: Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
Affiliations: Baidu Inc., China; Institute for Interdisciplinary Information Sciences, Tsinghua University, China
Conference: nips 2021 (main track)
Keywords: offline reinforcement learning;reverse model-based imagination
Decision: Poster
Title: PettingZoo: Gym for Multi-Agent Reinforcement Learning
Authors: J Terry, Benjamin Black, Nathaniel Grammel, Mario Jayakumar, Ananth Hari, Ryan Sullivan, Luis S Santos, Clemens Dieffendahl, Caroline Horsch, Rodrigo Perez-Vicente, Niall Williams, Yashas Lokesh, Praveen Ravi
Affiliations: Department of Electrical and Computer Engineering | University of Maryland, College Park; Department of Computer Science | University of Maryland, College Park; Maryland Robotics Center | University of Maryland, College Park; Swarm Labs | Department of Computer Science | University of Maryland, College Park; Department of Mechanical Engineering | University of Maryland, College Park; Faculty of Electrical Engineering and Computer Science | Technical University of Berlin
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Multi-agent Reinforcement Learning;Gym
Decision: Poster
Title: Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness
Authors: Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang
Affiliations: Huawei technologies Inc.; Carnegie Mellon University; Shanghai Jiao Tong University; Key Lab. of Machine Perception, School of Artificial Intelligence, Peking University
Conference: nips 2021 (main track)
Keywords: Adversarial robustness;deep learning;game-theoretic interaction
Decision: Poster
Title: Training Neural Networks is ER-complete
Authors: Mikkel Abrahamsen, Linda Kleist, Tillmann Miltzow
Affiliations: University of Copenhagen; Technische Universtität Braunschweig; Utrecht University
Conference: nips 2021 (main track)
Keywords: neural networks;complexity;hardness;existential theory of the reals;ER-hardness;NP-hardness.
Decision: Poster
Title: Projected GANs Converge Faster
Authors: Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger
Affiliations: Computer Vision and Learning Lab, University Heidelberg; University of Tübingen, Max Planck Institute for Intelligent Systems, Tübingen
Conference: nips 2021 (main track)
Keywords: GANs;Generative Models;Image Synthesis;Pretrained Models
Decision: Poster
Title: Heavy Ball Neural Ordinary Differential Equations
Authors: Hedi Xia, Vai Suliafu, Hangjie Ji, Tan Nguyen, Andrea Bertozzi, Stanley Osher, Bao Wang
Affiliations: Department of Mathematics, Scientific Computing and Imaging (SCI) Institute, University of Utah, Salt Lake City, UT, USA; Scientific Computing and Imaging (SCI) Institute, University of Utah, Salt Lake City, UT, USA; Department of Mathematics, University of California, Los Angeles
Conference: nips 2021 (main track)
Keywords: Neural ODEs;sequential data modeling;long-term dependencies;efficiency
Decision: Poster
Title: Diversity Matters When Learning From Ensembles
Authors: Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee
Affiliations: KAIST, Daejeon, South Korea; AITRICS, Seoul, South Korea; Stanford University, USA; KAIST, Daejeon, South Korea; AITRICS, Seoul, South Korea
Conference: nips 2021 (main track)
Keywords: deep ensembles;knowledge distillation;output diversified sampling;batch ensemble;calibration
Decision: Poster
Title: Tracking Without Re-recognition in Humans and Machines
Authors: Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre
Affiliations: Northeastern University, Boston, MA; DeepMind, London, UK; Carney Institute for Brain Science, Brown University, Providence, RI
Conference: nips 2021 (main track)
Keywords: Motion processing;neural circuits;visual perception
Decision: Poster
Title: Action-guided 3D Human Motion Prediction
Authors: Jiangxin Sun, Zihang Lin, Xintong Han, Jian-Fang Hu, Jia Xu, Wei-Shi Zheng
Affiliations: Sun Yat-sen University; Huya Inc
Conference: nips 2021 (main track)
Keywords: human motion prediction;3D human motion;future prediction
Decision: Poster
Title: Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks
Authors: Hidenori Tanaka, Daniel Kunin
Affiliations: Stanford University, Stanford, CA, USA; Physics & Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA, USA
Conference: nips 2021 (main track)
Keywords: Noether's theorem;learning dynamics;symmetry;loss landscape;differential equation;modified equation analysis;conservation law;hessian;geometry;physics;gradient flow
Decision: Poster
Title: The Met Dataset: Instance-level Recognition for Artworks
Affiliations: DVMM Lab, Columbia University; VRG, Faculty of Electrical Engineering, Czech Technical University in Prague; Institute for Datability Science, Osaka University; Multimedia Analytics Lab, University of Amsterdam
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: instance-level recognition;artwork recognition;large-scale recognition dataset;knn classification
Decision: Poster
Title: A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Authors: Yanis Bahroun, Dmitri Chklovskii, Anirvan Sengupta
Affiliations: Center for Computational Mathematics, Flatiron Institute; Center for Computational Neuroscience, Flatiron Institute
Conference: nips 2021 (main track)
Keywords: Blind source separation;independent component analysis;neural network;local learning rules;biologically plausible;Hebbian learning
Decision: Spotlight
Title: Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
Authors: NABARUN DEB, Promit Ghosal, Bodhisattva Sen
Affiliations: MIT; Columbia University
Conference: nips 2021 (main track)
Keywords: Discrete-discrete optimal transport;Kantorovich relaxation;Legendre-Fenchel dual;Semi-discrete Optimal Transport;Wasserstein barycenter;Wasserstein Distance.
Decision: Poster
Title: Pareto Domain Adaptation
Authors: fangrui lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang
Affiliations: Beijing Institute of Technology, China; Alibaba Group, China
Conference: nips 2021 (main track)
Keywords: transfer learning;domain adaptation;pareto optimization
Decision: Poster
Title: Gauge Equivariant Transformer
Authors: Lingshen He, Yiming Dong, Yisen Wang, Dacheng Tao, Zhouchen Lin
Affiliations: JD Explore Academy, JD.com; Pazhou Lab, Guangzhou 510330; Key Laboratory of Machine Perception (MOE), School of Artiﬁcial Intelligence, Peking University; Institute for Artiﬁcial Intelligence, Peking University
Conference: nips 2021 (main track)
Keywords: Gauge Equivariance;Transformer;Attention Mechanism;Manifolds
Decision: Poster