hunoutl/paperlists huggingface dataset:
Title: Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
Authors: David Applegate, Mateo Diaz, Oliver Hinder, Haihao Lu, Miles Lubin, Brendan O'Donoghue, Warren Schudy
Affiliations: Google Research, University of Pittsburgh; University of Chicago; DeepMind; Google Research; California Institute of Technology
Conference: nips 2021 (main track)
Keywords: linear programming;convex optimization;operations research;first-order methods;large scale optimization
Decision: Poster
Title: Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons
Authors: Wenbo Ren, Jia Liu, Ness Shroff
Affiliations: Dept. Electrical & Computer Engineering, The Ohio State University; Dept. Computer Science & Engineering, The Ohio State University; Dept. Electrical & Computer Engineering and Computer Science & Engineering, The Ohio State University
Conference: nips 2021 (main track)
Keywords: Ranking from Comparisons;Active Learning;Sample Complexity;Duelling Bandits
Decision: Poster
Title: The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
Authors: Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher
Affiliations: Laboratory for Information and Inference Systems, EPFL, Switzerland.
Conference: nips 2021 (main track)
Keywords: intrinsic dimension;generalization;rademacher complexity;statistical learning theory
Decision: Poster
Title: ErrorCompensatedX: error compensation for variance reduced algorithms
Authors: Hanlin Tang, Yao Li, Ji Liu, Ming Yan
Affiliations: Department of Mathematics, Michigan State University; Department of Computer Science, University of Rochester; Department of Computational Mathematics, Science and Technology; Department of Mathematics, Michigan State University; Kuaishou Technology
Conference: nips 2021 (main track)
Keywords: distributed learning;communication compression
Decision: Poster
Title: Refined Learning Bounds for Kernel and Approximate $k$-Means
Authors: 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: Kernel $k$-means，Risk bound;Kernel methods;Learning theory
Decision: Spotlight
Title: Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
Authors: Aran Nayebi, Alexander Attinger, Malcolm Campbell, Kiah Hardcastle, Isabel Low, Caitlin S Mallory, Gabriel Mel, Ben Sorscher, Alex H Williams, Surya Ganguli, Lisa Giocomo, Dan Yamins
Affiliations: Department of Statistics, Stanford University; Department of Neurobiology, Stanford University; Wu Tsai Neurosciences Institute, Stanford University; Department of Applied Physics, Stanford University; Wu Tsai Neurosciences Institute, Stanford University; Facebook AI Research, Facebook, Inc.; Department of Applied Physics, Stanford University; Wu Tsai Neurosciences Institute, Stanford University; Neurosciences Ph.D. Program, Stanford University; Department of Neurobiology, Stanford University; Wu Tsai Neurosciences Institute, Stanford University; Department of Computer Science, Stanford University; Department of Psychology, Stanford University; Wu Tsai Neurosciences Institute, Stanford University; Department of Neurobiology, Stanford University; Department of Neurosciences Ph.D. Program, Stanford University; Department of Neurobiology, Stanford University; Wu Tsai Neurosciences Institute, Stanford University
Conference: nips 2021 (main track)
Keywords: neural coding;medial entorhinal cortex;grid cells;biologically-inspired navigation;path integration;recurrent neural networks
Decision: Spotlight
Title: SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
Authors: Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-hornung, Daniel Cohen-or
Affiliations: Tel Aviv University; ETH Zurich, Switzerland
Conference: nips 2021 (main track)
Keywords: Machine Learning;Deep Learning;Computer Vision;Implicit functions;Positional Encoding
Decision: Poster
Title: Universal Rate-Distortion-Perception Representations for Lossy Compression
Authors: George Zhang, Jingjing Qian, Jun Chen, Ashish Khisti
Affiliations: Electrical and Computer Engineering, McMaster University; Electrical and Computer Engineering, University of Toronto
Conference: nips 2021 (main track)
Keywords: Information Theory;Lossy Compression;Image Compression;Machine Learning
Decision: Poster
Title: Spot the Difference: Detection of Topological Changes via Geometric Alignment
Authors: Per Steffen Czolbe, Aasa Feragen, Oswin Krause
Affiliations: DTU Compute, Technical University of Denmark; Department of Computer Science, University of Copenhagen
Conference: nips 2021 (main track)
Keywords: Image registration;Geometric transformations;Variational Autoencoder;VAE;Topology
Decision: Poster
Title: Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Authors: Aadarsh Sahoo, Rutav Shah, Rameswar Panda, Kate Saenko, Abir Das
Affiliations: Boston University; IIT Kharagpur; MIT-IBM Watson AI Lab
Conference: nips 2021 (main track)
Keywords: Video Domain Adaptation;Contrastive Learning;Action Recognition
Decision: Poster
Title: Scaling Neural Tangent Kernels via Sketching and Random Features
Authors: Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin
Affiliations: KAIST; Tel Aviv University; Yale University; Max-Planck-Institut für Informatik
Conference: nips 2021 (main track)
Keywords: Neural Tangent Kernel;NTK;Convolutional Neural Tangent Kernel;CNTK;Sketching;Random Features;Kernel Approximation;Kernel Methods
Decision: Poster
Title: Characterizing possible failure modes in physics-informed neural networks
Authors: Aditi Krishnapriyan, Amir Gholami, Shandian Zhe, Robert Kirby, Michael Mahoney
Affiliations: University of Utah; University of California, Berkeley, International Computer Science Institute; University of California, Berkeley; Lawrence Berkeley National Laboratory, University of California, Berkeley
Conference: nips 2021 (main track)
Keywords: scientific machine learning;physics-informed neural networks;regularization;constrained optimization;unconstrained optimization
Decision: Poster
Title: Tactical Optimism and Pessimism for Deep Reinforcement Learning
Authors: Ted Moskovitz, Jack Parker-Holder, Aldo Pacchiano, Michael Arbel, Michael Jordan
Affiliations: University of Oxford; University of California, Berkeley; Université Grenoble Alpes, Inria, CNRS⇤; Gatsby Unit, UCL; Microsoft Research
Conference: nips 2021 (main track)
Keywords: reinforcement learning;deep reinforcement learning;optimism
Decision: Poster
Title: Understanding Instance-based Interpretability of Variational Auto-Encoders
Authors: Zhifeng Kong, Kamalika Chaudhuri
Affiliations: Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093
Conference: nips 2021 (main track)
Keywords: Influence function;TracIn;instance-based interpretability;unsupervised learning;VAE
Decision: Poster
Title: Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
Authors: Jiaming Liu, Salman Asif, Brendt Wohlberg, Ulugbek Kamilov
Affiliations: University of California, Riverside; Washington University in St. Louis; Los Alamos National Laboratory
Conference: nips 2021 (main track)
Keywords: inverse problems;compressive sensing;plug-and-play priors;regularization by denoising
Decision: Poster
Title: Decision Transformer: Reinforcement Learning via Sequence Modeling
Authors: Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
Affiliations: Facebook AI Research; OpenAI; Google Brain; UC Berkeley
Conference: nips 2021 (main track)
Keywords: transformers;reinforcement learning;deep learning;generative modeling
Decision: Poster
Title: Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Authors: Maksym Yatsura, Jan Metzen, Matthias Hein
Affiliations: Bosch Center for Artiﬁcial Intelligence, University of Tübingen; University of Tübingen; Bosch Center for Artiﬁcial Intelligence
Conference: nips 2021 (main track)
Keywords: black-box adversarial attacks;meta-learning
Decision: Poster
Title: Garment4D: Garment Reconstruction from Point Cloud Sequences
Authors: Fangzhou Hong, Liang Pan, Zhongang Cai, Ziwei Liu
Affiliations: SenseTime Research, Shanghai AI Laboratory, S-Lab, Nanyang Technological University; S-Lab, Nanyang Technological University
Conference: nips 2021 (main track)
Keywords: Garment Reconstruction;Dynamic Garment Reconstruction;Point Cloud;Point Cloud Sequence;GCN;Transformer;Dressed Human Modeling
Decision: Poster
Title: Pl@ntNet-300K: a new plant image dataset for the evaluation of set-valued classifiers
Affiliations: Inria, LIRMM, Univ Montpellier, CNRS, Montpellier, France; IMAG, Univ Montpellier, CNRS, Montpellier, France; CIRAD, AMAP; IMAG, Univ Montpellier, Inria, CNRS, Montpellier, France; LIRMM, AMIS, UPVM, Univ Montpellier, CNRS, Montpellier
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: dataset;ambiguity;top-k;set-valued classification;long tail;plant
Decision: Reject
Title: Iterative Teacher-Aware Learning
Authors: Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu
Affiliations: Department of Statistics, University of California, Los Angeles; Beijing Institute for General Artiﬁcial Intelligence (BIGAI); Department of Computer Science, University of California, Los Angeles; Department of Statistics, University of California, Los Angeles; Department of Mathematics, University of California, Los Angeles
Conference: nips 2021 (main track)
Keywords: Dialog- or Communication-Based Learning;Pedagogy;Learning Theory
Decision: Poster
Title: Learning interaction rules from multi-animal trajectories via augmented behavioral models
Authors: Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara
Affiliations: National Institute for Basic Biology; Tokai University; Doshisha University; Nagoya University, RIKEN Center for Advanced Intelligence Project; Nagoya University; University of Applied Sciences and Arts Western Switzerland, RIKEN Center for Advanced Intelligence Project; Kyushu University, RIKEN Center for Advanced Intelligence Project
Conference: nips 2021 (main track)
Keywords: multi-agent trajectory;Granger causality;neural networks;interpretability
Decision: Poster
Title: BayesIMP: Uncertainty Quantification for Causal Data Fusion
Authors: Siu Lun Chau, Jean-Francois Ton, Javier González, Yee Teh, Dino Sejdinovic
Affiliations: University of Oxford; Microsoft Research Cambridge
Conference: nips 2021 (main track)
Keywords: Kernel Methods;Causal Inference;Uncertainty Quantification
Decision: Poster
Title: Instance-Conditioned GAN
Authors: Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero Soriano
Affiliations: Facebook AI Research; Facebook AI Research, McGill University; Facebook AI Research, Télécom Paris; Facebook AI Research, École Polytechnique de Montréal, Mila, Quebec AI Institute
Conference: nips 2021 (main track)
Keywords: generative adversarial networks;GAN;conditional GAN;image generation;scene generation;kernel density estimation;class conditional GAN;unbalanced classes;long-tail distribution
Decision: Spotlight
Title: Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
Authors: Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya Ravi
Affiliations: University of Wisconsin-Madison; University of Wisconsin-Whitewater; University of Illinois at Chicago
Conference: nips 2021 (main track)
Keywords: differentiable;non-decomposable objectives;linear programming;Newton's method
Decision: Poster
Title: Risk-Aware Transfer in Reinforcement Learning using Successor Features
Authors: Michael Gimelfarb, Andre Barreto, Scott Sanner, Chi-Guhn Lee
Affiliations: University of Toronto; DeepMind; University of Toronto, Affiliate to Vector Institute, Toronto, Canada
Conference: nips 2021 (main track)
Keywords: reinforcement learning;transfer learning;representation learning;successor features;risk-sensitivity;risk-awareness;safety
Decision: Poster
Title: Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation
Authors: Arno Solin, Ella Tamir, Prakhar Verma
Affiliations: Aalto University, Espoo, Finland
Conference: nips 2021 (main track)
Keywords: Stochastic differential equation;approximative inference;neural SDE;Gaussian process
Decision: Poster
Title: Similarity and Matching of Neural Network Representations
Authors: Adrián Csiszárik, Péter Kőrösi-Szabó, Ákos Matszangosz, Gergely Papp, Dániel Varga
Affiliations: Alfréd Rényi Insititute of Mathematics, Budapest, Hungary
Conference: nips 2021 (main track)
Keywords: Representation learning;Image representations
Decision: Poster
Title: GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
Authors: Octavian Ganea, Lagnajit Pattanaik, Connor Coley, Regina Barzilay, Klavs Jensen, William Green, Tommi Jaakkola
Affiliations: Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02139; Department of Chemical Engineering, MIT, Cambridge, MA 02139
Conference: nips 2021 (main track)
Keywords: molecular conformer generation;molecular geometry;molecular generative models;message passing neural networks;3D generation;molecular conformations
Decision: Spotlight
Title: Powerpropagation: A sparsity inducing weight reparameterisation
Authors: Jonathan Richard Schwarz, Siddhant Jayakumar, Razvan Pascanu, Peter E Latham, Yee Teh
Affiliations: Gatsby Unit, UCL; DeepMind & University College London; DeepMind & Gatsby Unit, UCL; DeepMind
Conference: nips 2021 (main track)
Keywords: Sparse Neural Networks;Continual Learning
Decision: Poster
Title: Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Authors: Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
Affiliations: CMU; UCLA; Northeastern University; Columbia University
Conference: nips 2021 (main track)
Keywords: neural network verification;branch and bound;adversarial robustness;adversarial examples;certified robustness
Decision: Poster
Title: Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Authors: Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn & Mihai A. Petrovici
Affiliations: Department of Physiology, University of Bern; Kirchhoff-Institute for Physics, Heidelberg University; Department of Physiology, University of Bern
Conference: nips 2021 (main track)
Keywords: dynamical systems;cortical microcircuits;deep learning;prospective coding;noise robustness;synaptic plasticity
Decision: Oral
Title: On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
Authors: Shuyu Cheng, Guoqiang Wu, Jun Zhu
Affiliations: Pazhou Lab, Guangzhou, 510330, China; Dept. of Comp. Sci. and Tech., BNRist Center, State Key Lab for Intell. Tech. & Sys., Institute for AI, Tsinghua-Bosch Joint Center for ML, Tsinghua University, Beijing, 100084, China
Conference: nips 2021 (main track)
Keywords: zeroth-order optimization;gradient-free optimization;evolutionary strategies;convex optimization;randomized methods
Decision: Poster
Title: Long Short-Term Transformer for Online Action Detection
Authors: Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
Affiliations: Amazon/AWS AI
Conference: nips 2021 (main track)
Keywords: Online Action Detection;Action and Behavior Recognition;Video Analysis;Transformers;Recurrent Neural Networks
Decision: Spotlight
Title: Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Authors: Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
Affiliations: Department of Computer Science, University of Wisconsin-Madison; Google
Conference: nips 2021 (main track)
Keywords: unsupervised accuracy estimation;error detection;self-training ensembles
Decision: Poster
Title: RELLISUR: A Real Low-Light Image Super-Resolution Dataset
Affiliations: Visual Analysis and Perception, Aalborg University, Denmark; Visual Analysis and Perception, Aalborg University, Denmark; Research Department, Milestone Systems A/S, Denmark
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Low-light enhancement;super-resolution;image processing;image enhancement;image restoration
Decision: Poster
Title: Linear-Time Probabilistic Solution of Boundary Value Problems
Authors: Nicholas Krämer, Philipp Hennig
Affiliations: University of Tübingen, Tübingen, Germany; University of Tübingen and Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: Differential equations;Gaussian processes;probabilistic numerics
Decision: Poster
Title: Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
Authors: Shashi Kant Gupta, Mengmi Zhang, CHIA-CHIEN WU, Jeremy Wolfe, Gabriel Kreiman
Affiliations: Brigham and Women’s Hospital, Harvard Medical School; Children’s Hospital, Harvard Medical School; Indian Institute of Technology Kanpur, India; Center for Brains, Minds and Machines
Conference: nips 2021 (main track)
Keywords: visual search;asymmetry;deep learning;recognition;neuroscience;eye movement;visual cortex;psychophyiscs;human behavior;visual cognition;inductive bias;natural statistics
Decision: Poster
Title: SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
Authors: Oliver Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess Smidt, Klaus-Robert Müller
Affiliations: DFG Cluster of Excellence “Unifying Systems in Catalysis” (UniSysCat), Technische Universität Berlin, 10623 Berlin, Germany; Department of Artiﬁcial Intelligence, Korea University, Anam-dong, Seongbuk-gu, Seoul 02841, Korea; Machine Learning Group, Technische Universität Berlin, 10587 Berlin, Germany; Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720; Institute of Physics, École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland
Conference: nips 2021 (main track)
Keywords: Deep learning;quantum chemistry;steerable networks;message passing networks
Decision: Poster
Title: Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
Authors: Liangbin Xie, Xintao Wang, Chao Dong, Zhongang Qi, Ying Shan
Affiliations: ARC Lab, Tencent PCG; Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shanghai AI Laboratory, Shanghai, China; Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; ARC Lab, Tencent PCG
Conference: nips 2021 (main track)
Keywords: blind super-resolution;network interpretation;degradation prediction
Decision: Spotlight
Title: Dual Parameterization of Sparse Variational Gaussian Processes
Authors: Vincent ADAM, Paul Chang, Mohammad Emtiyaz Khan, Arno Solin
Affiliations: Aalto University, Espoo, Finland; RIKEN Center for AI Project, Tokyo, Japan; Aalto University / Secondmind.ai, Espoo, Finland / Cambridge, UK
Conference: nips 2021 (main track)
Keywords: Gaussian processes;sparse variational inference;natural gradients
Decision: Poster
Title: Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples
Authors: Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee
Affiliations: Seoul National Univeristy; Dongguk University-Seoul; Seoul National University; Korea Institute for Advanced Study (KIAS)
Conference: nips 2021 (main track)
Keywords: Adversarial Examples;Certified Robustness;Certified Defense;Certifiable Training;Loss Landscape;Deep Learning;Security
Decision: Poster
Title: Efficient and Accurate Gradients for Neural SDEs
Authors: Patrick Kidger, James Foster, Xuechen (Chen) Li, Terry Lyons
Affiliations: Stanford; University of Oxford; The Alan Turing Insitute
Conference: nips 2021 (main track)
Keywords: neural sde;neural stochastic differential equation;neural ode;neural ordinary differential equation;nde;neural differential equation;backpropagation;adjoint method;optimise-then-discretise;optimize-then-discretize;discretise-then-optimise;discretize-then-optimize
Decision: Poster
Title: CAFE: Catastrophic Data Leakage in Vertical Federated Learning
Authors: Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen
Affiliations: National Yang Ming Chiao Tung University; Rensselaer Polytechnic Institute; IBM Research
Conference: nips 2021 (main track)
Keywords: Federated learning;data privacy;attack;defense
Decision: Poster
Title: Streaming Linear System Identification with Reverse Experience Replay
Authors: Suhas Kowshik, Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli
Affiliations: Google AI Research Lab, Bengaluru, India 560016; Department of EECS, MIT, Cambridge, MA 02139
Conference: nips 2021 (main track)
Keywords: Linear System Identification;Streaming Algorithms;Experience Replay
Decision: Poster
Title: Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Authors: Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang
Affiliations: Pazhou Lab, Guangzhou; Department of Mathematics and Statistics, UVic; Department of Mathematics, SUSTech and National Center for Applied Mathematics Shenzhen; International School of Information Science & Engineering, DUT
Conference: nips 2021 (main track)
Keywords: Bi-level programming;gradient-based method;asymptotic convergence;few-shot classification;data hyper-cleaning
Decision: Spotlight
Title: NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
Authors: Jonas Zehnder, Yue Li, Stelian Coros, Bernhard Thomaszewski
Affiliations: Department of Computer Science and Operations Research, Université de Montréal; Department of Computer Science, ETH Zurich
Conference: nips 2021 (main track)
Keywords: implicit representations;topology optimization;bilevel optimization;multilayer perceptrons;mesh-free
Decision: Poster
Title: Not All Low-Pass Filters are Robust in Graph Convolutional Networks
Authors: Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu
Affiliations: Department of Computer Science and Technology, Tsinghua University; Tsinghua-Berkeley Shenzhen Institute, Tsinghua University; Tencent AI Lab
Conference: nips 2021 (main track)
Keywords: graph representation learning;adversarial robustness;graph mining
Decision: Poster
Title: Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
Authors: Mathieu Even, Raphaël Berthier, Francis Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien Taylor
Affiliations: Inria - Département d’informatique de l’ENS, PSL Research University, Paris, France; School of Computer and Communication Sciences, Ecole Polytechnique Fédérale de Lausanne; Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France
Conference: nips 2021 (main track)
Keywords: Convex optimization;Nesterov acceleration
Decision: Oral
Title: Mixture Proportion Estimation and PU Learning:A Modern Approach
Authors: Saurabh Garg, Yifan Wu, Alexander Smola, Sivaraman Balakrishnan, Zachary Lipton
Affiliations: Amazon Web Services; Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: PU learning;Mixture Proportion Estimation
Decision: Spotlight
Title: LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Affiliations: State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430074, China
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Land-cover mapping;Unsupervised domain adaptation;Semantic segmentation
Decision: Poster